Overview

Dataset statistics

Number of variables21
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.9 KiB
Average record size in memory190.1 B

Variable types

Categorical3
Numeric18

Dataset

Description국내에 등록되어 도로를 운행 중인 자동차의 용도별, 차종별, 연료별 대당 일평균 자동차 주행거리 현황입니다.단위(km/대)
Author한국교통안전공단
URLhttps://www.data.go.kr/data/15088454/fileData.do

Alerts

일평균전국주행거리(대당 키로미터) has unique valuesUnique
서울 has unique valuesUnique
서울 has 1 (3.1%) zerosZeros
부산 has 3 (9.4%) zerosZeros
대구 has 6 (18.8%) zerosZeros
인천 has 5 (15.6%) zerosZeros
광주 has 6 (18.8%) zerosZeros
대전 has 5 (15.6%) zerosZeros
울산 has 6 (18.8%) zerosZeros
세종 has 7 (21.9%) zerosZeros
경기 has 1 (3.1%) zerosZeros
강원 has 5 (15.6%) zerosZeros
충북 has 4 (12.5%) zerosZeros
충남 has 2 (6.2%) zerosZeros
전북 has 4 (12.5%) zerosZeros
전남 has 3 (9.4%) zerosZeros
경북 has 4 (12.5%) zerosZeros
경남 has 2 (6.2%) zerosZeros
제주 has 6 (18.8%) zerosZeros

Reproduction

Analysis started2024-04-17 20:24:05.239651
Analysis finished2024-04-17 20:24:05.397890
Duration0.16 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

용도별
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size388.0 B
비사업형
16 
사업형
16 

Length

Max length4
Median length3.5
Mean length3.5
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비사업형 16
50.0%
사업형 16
50.0%

Length

2024-04-18T05:24:05.450349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:24:05.524319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비사업형 16
50.0%
사업형 16
50.0%

차종별
Categorical

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
승용차
8 
승합차
8 
화물차
8 
특수차
8 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
승용차 8
25.0%
승합차 8
25.0%
화물차 8
25.0%
특수차 8
25.0%

Length

2024-04-18T05:24:05.601560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:24:05.676565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
승용차 8
25.0%
승합차 8
25.0%
화물차 8
25.0%
특수차 8
25.0%

사용연료별
Categorical

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
휘발유
8 
경유
8 
LPG
8 
기타연료
8 

Length

Max length4
Median length3.5
Mean length3
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row휘발유
2nd row경유
3rd rowLPG
4th row기타연료
5th row휘발유

Common Values

ValueCountFrequency (%)
휘발유 8
25.0%
경유 8
25.0%
LPG 8
25.0%
기타연료 8
25.0%

Length

2024-04-18T05:24:05.770844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:24:05.858559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휘발유 8
25.0%
경유 8
25.0%
lpg 8
25.0%
기타연료 8
25.0%

일평균전국주행거리(대당 키로미터)
Real number (ℝ)

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.4375
Minimum5.8
Maximum216.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-18T05:24:05.945323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.8
5-th percentile13.115
Q132.825
median41.35
Q383.275
95-th percentile148.49
Maximum216.1
Range210.3
Interquartile range (IQR)50.45

Descriptive statistics

Standard deviation48.91868
Coefficient of variation (CV)0.75916477
Kurtosis1.6218965
Mean64.4375
Median Absolute Deviation (MAD)17.05
Skewness1.3598021
Sum2062
Variance2393.0373
MonotonicityNot monotonic
2024-04-18T05:24:06.035977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
27.4 1
 
3.1%
61.9 1
 
3.1%
125.1 1
 
3.1%
37.3 1
 
3.1%
155.2 1
 
3.1%
90.4 1
 
3.1%
74.9 1
 
3.1%
113.6 1
 
3.1%
143.0 1
 
3.1%
79.2 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
5.8 1
3.1%
9.1 1
3.1%
16.4 1
3.1%
26.4 1
3.1%
27.4 1
3.1%
29.1 1
3.1%
31.0 1
3.1%
31.1 1
3.1%
33.4 1
3.1%
33.9 1
3.1%
ValueCountFrequency (%)
216.1 1
3.1%
155.2 1
3.1%
143.0 1
3.1%
130.8 1
3.1%
125.1 1
3.1%
116.9 1
3.1%
113.6 1
3.1%
90.4 1
3.1%
80.9 1
3.1%
79.2 1
3.1%

서울
Real number (ℝ)

UNIQUE  ZEROS 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.959375
Minimum0
Maximum191.4
Zeros1
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-18T05:24:06.130195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.87
Q129.425
median37.7
Q374.95
95-th percentile150.54
Maximum191.4
Range191.4
Interquartile range (IQR)45.525

Descriptive statistics

Standard deviation46.201507
Coefficient of variation (CV)0.79713605
Kurtosis1.8849519
Mean57.959375
Median Absolute Deviation (MAD)15.65
Skewness1.4713748
Sum1854.7
Variance2134.5793
MonotonicityNot monotonic
2024-04-18T05:24:06.252907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
24.9 1
 
3.1%
61.5 1
 
3.1%
0.0 1
 
3.1%
38.4 1
 
3.1%
85.6 1
 
3.1%
43.3 1
 
3.1%
71.4 1
 
3.1%
111.2 1
 
3.1%
119.5 1
 
3.1%
128.4 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
0.0 1
3.1%
2.4 1
3.1%
17.8 1
3.1%
24.3 1
3.1%
24.9 1
3.1%
27.0 1
3.1%
28.2 1
3.1%
29.2 1
3.1%
29.5 1
3.1%
32.0 1
3.1%
ValueCountFrequency (%)
191.4 1
3.1%
177.6 1
3.1%
128.4 1
3.1%
119.5 1
3.1%
111.2 1
3.1%
96.9 1
3.1%
91.9 1
3.1%
85.6 1
3.1%
71.4 1
3.1%
63.0 1
3.1%

부산
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.871875
Minimum0
Maximum225.7
Zeros3
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-18T05:24:06.351666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q126.425
median36.4
Q369.4
95-th percentile171.47
Maximum225.7
Range225.7
Interquartile range (IQR)42.975

Descriptive statistics

Standard deviation52.490234
Coefficient of variation (CV)0.95659633
Kurtosis4.5175465
Mean54.871875
Median Absolute Deviation (MAD)16.7
Skewness2.0351954
Sum1755.9
Variance2755.2247
MonotonicityNot monotonic
2024-04-18T05:24:06.438230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.0 3
 
9.4%
27.0 1
 
3.1%
47.8 1
 
3.1%
76.2 1
 
3.1%
225.7 1
 
3.1%
67.4 1
 
3.1%
75.4 1
 
3.1%
140.6 1
 
3.1%
209.2 1
 
3.1%
51.7 1
 
3.1%
Other values (20) 20
62.5%
ValueCountFrequency (%)
0.0 3
9.4%
4.2 1
 
3.1%
19.4 1
 
3.1%
20.0 1
 
3.1%
22.1 1
 
3.1%
24.7 1
 
3.1%
27.0 1
 
3.1%
31.7 1
 
3.1%
32.4 1
 
3.1%
32.6 1
 
3.1%
ValueCountFrequency (%)
225.7 1
3.1%
209.2 1
3.1%
140.6 1
3.1%
92.5 1
3.1%
87.7 1
3.1%
85.2 1
3.1%
76.2 1
3.1%
75.4 1
3.1%
67.4 1
3.1%
59.4 1
3.1%

대구
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.896875
Minimum0
Maximum253.4
Zeros6
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-18T05:24:06.526871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q126
median35.85
Q366.9
95-th percentile134.805
Maximum253.4
Range253.4
Interquartile range (IQR)40.9

Descriptive statistics

Standard deviation52.796545
Coefficient of variation (CV)1.0173357
Kurtosis5.9582932
Mean51.896875
Median Absolute Deviation (MAD)27.75
Skewness2.0662355
Sum1660.7
Variance2787.4752
MonotonicityNot monotonic
2024-04-18T05:24:06.616627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0 6
 
18.8%
26.9 1
 
3.1%
51.0 1
 
3.1%
120.0 1
 
3.1%
75.6 1
 
3.1%
94.2 1
 
3.1%
152.9 1
 
3.1%
253.4 1
 
3.1%
63.2 1
 
3.1%
86.1 1
 
3.1%
Other values (17) 17
53.1%
ValueCountFrequency (%)
0.0 6
18.8%
5.6 1
 
3.1%
23.3 1
 
3.1%
26.9 1
 
3.1%
31.1 1
 
3.1%
31.6 1
 
3.1%
31.9 1
 
3.1%
32.1 1
 
3.1%
34.2 1
 
3.1%
34.6 1
 
3.1%
ValueCountFrequency (%)
253.4 1
3.1%
152.9 1
3.1%
120.0 1
3.1%
106.7 1
3.1%
94.2 1
3.1%
87.5 1
3.1%
86.1 1
3.1%
75.6 1
3.1%
64.0 1
3.1%
63.2 1
3.1%

인천
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.39375
Minimum0
Maximum237.3
Zeros5
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-18T05:24:06.704099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q124.3
median35.9
Q362.675
95-th percentile144.11
Maximum237.3
Range237.3
Interquartile range (IQR)38.375

Descriptive statistics

Standard deviation50.815263
Coefficient of variation (CV)1.0083644
Kurtosis5.2508123
Mean50.39375
Median Absolute Deviation (MAD)19.6
Skewness2.0541072
Sum1612.6
Variance2582.1909
MonotonicityNot monotonic
2024-04-18T05:24:06.794550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.0 5
 
15.6%
27.1 1
 
3.1%
156.1 1
 
3.1%
80.2 1
 
3.1%
119.8 1
 
3.1%
134.3 1
 
3.1%
237.3 1
 
3.1%
56.7 1
 
3.1%
72.8 1
 
3.1%
52.9 1
 
3.1%
Other values (18) 18
56.2%
ValueCountFrequency (%)
0.0 5
15.6%
6.1 1
 
3.1%
17.5 1
 
3.1%
21.9 1
 
3.1%
25.1 1
 
3.1%
27.1 1
 
3.1%
30.4 1
 
3.1%
31.5 1
 
3.1%
32.5 1
 
3.1%
34.6 1
 
3.1%
ValueCountFrequency (%)
237.3 1
3.1%
156.1 1
3.1%
134.3 1
3.1%
119.8 1
3.1%
80.2 1
3.1%
72.8 1
3.1%
69.3 1
3.1%
63.5 1
3.1%
62.4 1
3.1%
56.7 1
3.1%

광주
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.628125
Minimum0
Maximum193.3
Zeros6
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-18T05:24:06.881998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q117.975
median34.75
Q357.625
95-th percentile147.58
Maximum193.3
Range193.3
Interquartile range (IQR)39.65

Descriptive statistics

Standard deviation47.169736
Coefficient of variation (CV)1.0116155
Kurtosis2.5145355
Mean46.628125
Median Absolute Deviation (MAD)21.9
Skewness1.5936979
Sum1492.1
Variance2224.984
MonotonicityNot monotonic
2024-04-18T05:24:06.988131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0 6
 
18.8%
27.1 1
 
3.1%
36.1 1
 
3.1%
142.0 1
 
3.1%
61.7 1
 
3.1%
111.0 1
 
3.1%
154.4 1
 
3.1%
193.3 1
 
3.1%
24.8 1
 
3.1%
84.6 1
 
3.1%
Other values (17) 17
53.1%
ValueCountFrequency (%)
0.0 6
18.8%
0.5 1
 
3.1%
14.0 1
 
3.1%
19.3 1
 
3.1%
24.8 1
 
3.1%
27.1 1
 
3.1%
31.5 1
 
3.1%
33.9 1
 
3.1%
34.1 1
 
3.1%
34.5 1
 
3.1%
ValueCountFrequency (%)
193.3 1
3.1%
154.4 1
3.1%
142.0 1
3.1%
111.0 1
3.1%
84.6 1
3.1%
84.1 1
3.1%
61.7 1
3.1%
60.1 1
3.1%
56.8 1
3.1%
56.5 1
3.1%

대전
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.3
Minimum0
Maximum204.6
Zeros5
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-18T05:24:07.083495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q121.875
median35.65
Q365.525
95-th percentile136.45
Maximum204.6
Range204.6
Interquartile range (IQR)43.65

Descriptive statistics

Standard deviation46.598076
Coefficient of variation (CV)0.98516016
Kurtosis3.5572121
Mean47.3
Median Absolute Deviation (MAD)27.3
Skewness1.6975014
Sum1513.6
Variance2171.3806
MonotonicityNot monotonic
2024-04-18T05:24:07.172243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.0 5
 
15.6%
26.4 1
 
3.1%
2.3 1
 
3.1%
119.8 1
 
3.1%
74.3 1
 
3.1%
73.4 1
 
3.1%
156.8 1
 
3.1%
204.6 1
 
3.1%
74.0 1
 
3.1%
91.2 1
 
3.1%
Other values (18) 18
56.2%
ValueCountFrequency (%)
0.0 5
15.6%
2.3 1
 
3.1%
3.6 1
 
3.1%
8.3 1
 
3.1%
26.4 1
 
3.1%
27.3 1
 
3.1%
29.0 1
 
3.1%
30.4 1
 
3.1%
31.6 1
 
3.1%
32.8 1
 
3.1%
ValueCountFrequency (%)
204.6 1
3.1%
156.8 1
3.1%
119.8 1
3.1%
91.2 1
3.1%
87.6 1
3.1%
74.3 1
3.1%
74.0 1
3.1%
73.4 1
3.1%
62.9 1
3.1%
57.7 1
3.1%

울산
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.278125
Minimum0
Maximum261
Zeros6
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-18T05:24:07.260541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116.25
median32.7
Q354.975
95-th percentile156.605
Maximum261
Range261
Interquartile range (IQR)38.725

Descriptive statistics

Standard deviation57.104572
Coefficient of variation (CV)1.1588219
Kurtosis5.444825
Mean49.278125
Median Absolute Deviation (MAD)24.05
Skewness2.1403628
Sum1576.9
Variance3260.9321
MonotonicityNot monotonic
2024-04-18T05:24:07.346439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0 6
 
18.8%
26.5 1
 
3.1%
34.2 1
 
3.1%
169.2 1
 
3.1%
60.3 1
 
3.1%
63.0 1
 
3.1%
146.3 1
 
3.1%
261.0 1
 
3.1%
107.1 1
 
3.1%
105.4 1
 
3.1%
Other values (17) 17
53.1%
ValueCountFrequency (%)
0.0 6
18.8%
0.9 1
 
3.1%
1.7 1
 
3.1%
21.1 1
 
3.1%
26.5 1
 
3.1%
28.6 1
 
3.1%
29.6 1
 
3.1%
30.7 1
 
3.1%
31.5 1
 
3.1%
31.8 1
 
3.1%
ValueCountFrequency (%)
261.0 1
3.1%
169.2 1
3.1%
146.3 1
3.1%
107.1 1
3.1%
105.4 1
3.1%
96.4 1
3.1%
63.0 1
3.1%
60.3 1
3.1%
53.2 1
3.1%
51.5 1
3.1%

세종
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.015625
Minimum0
Maximum233.4
Zeros7
Zeros (%)21.9%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-18T05:24:07.430866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.975
median37.8
Q353.025
95-th percentile157.42
Maximum233.4
Range233.4
Interquartile range (IQR)50.05

Descriptive statistics

Standard deviation54.309526
Coefficient of variation (CV)1.1310803
Kurtosis3.7705395
Mean48.015625
Median Absolute Deviation (MAD)26.25
Skewness1.8636526
Sum1536.5
Variance2949.5246
MonotonicityNot monotonic
2024-04-18T05:24:07.527889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.0 7
21.9%
30.5 1
 
3.1%
26.8 1
 
3.1%
95.2 1
 
3.1%
69.3 1
 
3.1%
125.6 1
 
3.1%
150.4 1
 
3.1%
233.4 1
 
3.1%
166.0 1
 
3.1%
44.8 1
 
3.1%
Other values (16) 16
50.0%
ValueCountFrequency (%)
0.0 7
21.9%
0.5 1
 
3.1%
3.8 1
 
3.1%
21.6 1
 
3.1%
26.8 1
 
3.1%
29.8 1
 
3.1%
30.5 1
 
3.1%
31.1 1
 
3.1%
35.8 1
 
3.1%
37.7 1
 
3.1%
ValueCountFrequency (%)
233.4 1
3.1%
166.0 1
3.1%
150.4 1
3.1%
125.6 1
3.1%
95.2 1
3.1%
77.1 1
3.1%
69.3 1
3.1%
58.8 1
3.1%
51.1 1
3.1%
44.8 1
3.1%

경기
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.2375
Minimum0
Maximum222.4
Zeros1
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-18T05:24:07.625471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.735
Q128.975
median37.4
Q364.225
95-th percentile139.3
Maximum222.4
Range222.4
Interquartile range (IQR)35.25

Descriptive statistics

Standard deviation48.062102
Coefficient of variation (CV)0.85462729
Kurtosis3.4923958
Mean56.2375
Median Absolute Deviation (MAD)12.6
Skewness1.7626986
Sum1799.6
Variance2309.9656
MonotonicityNot monotonic
2024-04-18T05:24:07.741878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
139.3 2
 
6.2%
28.0 1
 
3.1%
36.6 1
 
3.1%
25.3 1
 
3.1%
0.0 1
 
3.1%
112.7 1
 
3.1%
106.3 1
 
3.1%
81.4 1
 
3.1%
124.5 1
 
3.1%
28.9 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
0.0 1
3.1%
4.8 1
3.1%
6.5 1
3.1%
19.2 1
3.1%
24.3 1
3.1%
25.3 1
3.1%
28.0 1
3.1%
28.9 1
3.1%
29.0 1
3.1%
30.2 1
3.1%
ValueCountFrequency (%)
222.4 1
3.1%
139.3 2
6.2%
124.5 1
3.1%
112.7 1
3.1%
106.3 1
3.1%
84.6 1
3.1%
81.4 1
3.1%
58.5 1
3.1%
57.5 1
3.1%
53.8 1
3.1%

강원
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.446875
Minimum0
Maximum183.7
Zeros5
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-18T05:24:07.829976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q124.825
median35.9
Q360.9
95-th percentile136.31
Maximum183.7
Range183.7
Interquartile range (IQR)36.075

Descriptive statistics

Standard deviation43.658868
Coefficient of variation (CV)0.9201632
Kurtosis2.3776939
Mean47.446875
Median Absolute Deviation (MAD)16.7
Skewness1.5050703
Sum1518.3
Variance1906.0968
MonotonicityNot monotonic
2024-04-18T05:24:07.920797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.0 5
 
15.6%
27.7 1
 
3.1%
40.8 1
 
3.1%
100.5 1
 
3.1%
63.3 1
 
3.1%
80.4 1
 
3.1%
128.3 1
 
3.1%
183.7 1
 
3.1%
48.1 1
 
3.1%
146.1 1
 
3.1%
Other values (18) 18
56.2%
ValueCountFrequency (%)
0.0 5
15.6%
3.1 1
 
3.1%
21.9 1
 
3.1%
22.5 1
 
3.1%
25.6 1
 
3.1%
27.7 1
 
3.1%
28.2 1
 
3.1%
31.1 1
 
3.1%
33.4 1
 
3.1%
33.9 1
 
3.1%
ValueCountFrequency (%)
183.7 1
3.1%
146.1 1
3.1%
128.3 1
3.1%
100.5 1
3.1%
96.8 1
3.1%
80.4 1
3.1%
65.8 1
3.1%
63.3 1
3.1%
60.1 1
3.1%
55.3 1
3.1%

충북
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.875
Minimum0
Maximum235.7
Zeros4
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-18T05:24:08.012903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q127.175
median36.6
Q372.55
95-th percentile171.67
Maximum235.7
Range235.7
Interquartile range (IQR)45.375

Descriptive statistics

Standard deviation55.963732
Coefficient of variation (CV)1.0198402
Kurtosis3.3119016
Mean54.875
Median Absolute Deviation (MAD)19.45
Skewness1.8182174
Sum1756
Variance3131.9394
MonotonicityNot monotonic
2024-04-18T05:24:08.104816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.0 4
 
12.5%
28.3 1
 
3.1%
37.6 1
 
3.1%
195.1 1
 
3.1%
78.1 1
 
3.1%
94.0 1
 
3.1%
152.5 1
 
3.1%
235.7 1
 
3.1%
56.1 1
 
3.1%
141.3 1
 
3.1%
Other values (19) 19
59.4%
ValueCountFrequency (%)
0.0 4
12.5%
0.9 1
 
3.1%
8.0 1
 
3.1%
20.8 1
 
3.1%
23.8 1
 
3.1%
28.3 1
 
3.1%
30.4 1
 
3.1%
34.5 1
 
3.1%
34.6 1
 
3.1%
34.9 1
 
3.1%
ValueCountFrequency (%)
235.7 1
3.1%
195.1 1
3.1%
152.5 1
3.1%
141.3 1
3.1%
94.0 1
3.1%
83.3 1
3.1%
78.1 1
3.1%
73.6 1
3.1%
72.2 1
3.1%
56.1 1
3.1%

충남
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.484375
Minimum0
Maximum282.4
Zeros2
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-18T05:24:08.198761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.33
Q129.625
median37.45
Q377.8
95-th percentile172.3
Maximum282.4
Range282.4
Interquartile range (IQR)48.175

Descriptive statistics

Standard deviation62.596502
Coefficient of variation (CV)1.0349202
Kurtosis4.4076902
Mean60.484375
Median Absolute Deviation (MAD)21.05
Skewness1.9881355
Sum1935.5
Variance3918.322
MonotonicityNot monotonic
2024-04-18T05:24:08.283951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
77.8 2
 
6.2%
0.0 2
 
6.2%
29.1 1
 
3.1%
52.7 1
 
3.1%
282.4 1
 
3.1%
143.2 1
 
3.1%
100.7 1
 
3.1%
149.8 1
 
3.1%
16.9 1
 
3.1%
199.8 1
 
3.1%
Other values (20) 20
62.5%
ValueCountFrequency (%)
0.0 2
6.2%
0.6 1
3.1%
0.8 1
3.1%
11.8 1
3.1%
16.9 1
3.1%
23.8 1
3.1%
29.1 1
3.1%
29.8 1
3.1%
30.1 1
3.1%
30.5 1
3.1%
ValueCountFrequency (%)
282.4 1
3.1%
199.8 1
3.1%
149.8 1
3.1%
143.2 1
3.1%
141.3 1
3.1%
100.7 1
3.1%
80.9 1
3.1%
77.8 2
6.2%
61.6 1
3.1%
59.0 1
3.1%

전북
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.884375
Minimum0
Maximum234.7
Zeros4
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-18T05:24:08.367774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q127.625
median37.85
Q368.25
95-th percentile160.665
Maximum234.7
Range234.7
Interquartile range (IQR)40.625

Descriptive statistics

Standard deviation52.803318
Coefficient of variation (CV)0.97993747
Kurtosis3.8267391
Mean53.884375
Median Absolute Deviation (MAD)21.1
Skewness1.845613
Sum1724.3
Variance2788.1904
MonotonicityNot monotonic
2024-04-18T05:24:08.732438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0 4
 
12.5%
33.0 2
 
6.2%
37.9 2
 
6.2%
28.3 1
 
3.1%
69.3 1
 
3.1%
153.6 1
 
3.1%
72.5 1
 
3.1%
93.0 1
 
3.1%
169.3 1
 
3.1%
234.7 1
 
3.1%
Other values (17) 17
53.1%
ValueCountFrequency (%)
0.0 4
12.5%
4.7 1
 
3.1%
7.0 1
 
3.1%
25.1 1
 
3.1%
25.6 1
 
3.1%
28.3 1
 
3.1%
31.4 1
 
3.1%
33.0 2
6.2%
35.2 1
 
3.1%
36.5 1
 
3.1%
ValueCountFrequency (%)
234.7 1
3.1%
169.3 1
3.1%
153.6 1
3.1%
121.2 1
3.1%
93.0 1
3.1%
91.6 1
3.1%
72.5 1
3.1%
69.3 1
3.1%
67.9 1
3.1%
64.3 1
3.1%

전남
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.50625
Minimum0
Maximum235.2
Zeros3
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-18T05:24:08.815494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q128.05
median37.7
Q364.45
95-th percentile179.265
Maximum235.2
Range235.2
Interquartile range (IQR)36.4

Descriptive statistics

Standard deviation54.107932
Coefficient of variation (CV)1.0305046
Kurtosis4.5678109
Mean52.50625
Median Absolute Deviation (MAD)15.95
Skewness2.0882933
Sum1680.2
Variance2927.6683
MonotonicityNot monotonic
2024-04-18T05:24:08.908991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.0 3
 
9.4%
29.3 1
 
3.1%
50.3 1
 
3.1%
72.4 1
 
3.1%
192.3 1
 
3.1%
67.3 1
 
3.1%
73.7 1
 
3.1%
168.6 1
 
3.1%
235.2 1
 
3.1%
51.4 1
 
3.1%
Other values (20) 20
62.5%
ValueCountFrequency (%)
0.0 3
9.4%
2.0 1
 
3.1%
3.2 1
 
3.1%
6.0 1
 
3.1%
22.0 1
 
3.1%
24.3 1
 
3.1%
29.3 1
 
3.1%
30.0 1
 
3.1%
30.2 1
 
3.1%
32.1 1
 
3.1%
ValueCountFrequency (%)
235.2 1
3.1%
192.3 1
3.1%
168.6 1
3.1%
98.6 1
3.1%
73.7 1
3.1%
72.4 1
3.1%
68.1 1
3.1%
67.3 1
3.1%
63.5 1
3.1%
53.9 1
3.1%

경북
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.0625
Minimum0
Maximum223.2
Zeros4
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-18T05:24:08.998411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q126.625
median36.65
Q374.625
95-th percentile164.63
Maximum223.2
Range223.2
Interquartile range (IQR)48

Descriptive statistics

Standard deviation53.025063
Coefficient of variation (CV)0.96299773
Kurtosis2.5478539
Mean55.0625
Median Absolute Deviation (MAD)21.8
Skewness1.5977358
Sum1762
Variance2811.6573
MonotonicityNot monotonic
2024-04-18T05:24:09.097502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.0 4
 
12.5%
28.4 1
 
3.1%
37.6 1
 
3.1%
73.7 1
 
3.1%
167.6 1
 
3.1%
77.4 1
 
3.1%
100.0 1
 
3.1%
162.2 1
 
3.1%
223.2 1
 
3.1%
72.2 1
 
3.1%
Other values (19) 19
59.4%
ValueCountFrequency (%)
0.0 4
12.5%
2.3 1
 
3.1%
12.4 1
 
3.1%
17.3 1
 
3.1%
21.3 1
 
3.1%
28.4 1
 
3.1%
30.8 1
 
3.1%
32.2 1
 
3.1%
32.9 1
 
3.1%
34.7 1
 
3.1%
ValueCountFrequency (%)
223.2 1
3.1%
167.6 1
3.1%
162.2 1
3.1%
130.4 1
3.1%
100.0 1
3.1%
91.4 1
3.1%
77.6 1
3.1%
77.4 1
3.1%
73.7 1
3.1%
72.2 1
3.1%

경남
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.66875
Minimum0
Maximum256.5
Zeros2
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-18T05:24:09.187951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.86
Q132.075
median39.5
Q371.825
95-th percentile187.555
Maximum256.5
Range256.5
Interquartile range (IQR)39.75

Descriptive statistics

Standard deviation59.568456
Coefficient of variation (CV)0.96594233
Kurtosis3.3683088
Mean61.66875
Median Absolute Deviation (MAD)20.4
Skewness1.870866
Sum1973.4
Variance3548.4009
MonotonicityNot monotonic
2024-04-18T05:24:09.280876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.0 2
 
6.2%
59.9 2
 
6.2%
28.6 1
 
3.1%
48.1 1
 
3.1%
204.0 1
 
3.1%
174.1 1
 
3.1%
74.9 1
 
3.1%
78.6 1
 
3.1%
65.6 1
 
3.1%
145.9 1
 
3.1%
Other values (20) 20
62.5%
ValueCountFrequency (%)
0.0 2
6.2%
5.2 1
3.1%
9.8 1
3.1%
13.0 1
3.1%
24.8 1
3.1%
28.6 1
3.1%
30.8 1
3.1%
32.5 1
3.1%
32.6 1
3.1%
33.7 1
3.1%
ValueCountFrequency (%)
256.5 1
3.1%
204.0 1
3.1%
174.1 1
3.1%
145.9 1
3.1%
133.7 1
3.1%
78.6 1
3.1%
76.9 1
3.1%
74.9 1
3.1%
70.8 1
3.1%
65.6 1
3.1%

제주
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.6125
Minimum0
Maximum179.6
Zeros6
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-18T05:24:09.369907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q118.125
median31.8
Q356.75
95-th percentile98.155
Maximum179.6
Range179.6
Interquartile range (IQR)38.625

Descriptive statistics

Standard deviation37.488706
Coefficient of variation (CV)0.94638576
Kurtosis5.5489757
Mean39.6125
Median Absolute Deviation (MAD)21.7
Skewness1.9316849
Sum1267.6
Variance1405.4031
MonotonicityNot monotonic
2024-04-18T05:24:09.460620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0 6
 
18.8%
25.3 1
 
3.1%
51.2 1
 
3.1%
59.6 1
 
3.1%
55.8 1
 
3.1%
44.3 1
 
3.1%
120.1 1
 
3.1%
179.6 1
 
3.1%
61.4 1
 
3.1%
80.2 1
 
3.1%
Other values (17) 17
53.1%
ValueCountFrequency (%)
0.0 6
18.8%
6.9 1
 
3.1%
13.7 1
 
3.1%
19.6 1
 
3.1%
25.3 1
 
3.1%
25.5 1
 
3.1%
25.7 1
 
3.1%
29.4 1
 
3.1%
30.0 1
 
3.1%
31.6 1
 
3.1%
ValueCountFrequency (%)
179.6 1
3.1%
120.1 1
3.1%
80.2 1
3.1%
66.9 1
3.1%
65.5 1
3.1%
61.4 1
3.1%
61.2 1
3.1%
59.6 1
3.1%
55.8 1
3.1%
51.2 1
3.1%

Sample

용도별차종별사용연료별일평균전국주행거리(대당 키로미터)서울부산대구인천광주대전울산세종경기강원충북충남전북전남경북경남제주
0비사업형승용차휘발유27.424.927.026.927.127.126.426.530.528.027.728.329.128.329.328.428.625.3
1비사업형승용차경유36.132.435.036.235.236.135.934.240.936.637.437.638.037.938.437.637.432.1
2비사업형승용차LPG33.429.231.732.131.533.932.831.837.933.533.935.236.035.235.935.435.130.0
3비사업형승용차기타연료38.433.737.139.637.737.738.137.043.938.940.440.740.840.241.041.440.439.5
4비사업형승합차휘발유26.437.022.123.321.919.330.421.121.624.322.520.823.825.122.021.324.819.6
5비사업형승합차경유36.633.533.535.534.634.535.433.539.437.937.138.938.737.838.038.338.331.9
6비사업형승합차LPG33.932.035.731.632.535.133.330.737.735.933.434.634.737.332.135.733.729.4
7비사업형승합차기타연료9.124.319.45.617.50.58.30.93.84.83.10.90.67.02.017.313.013.7
8비사업형화물차휘발유35.732.834.334.635.134.936.331.535.836.936.635.636.737.937.034.836.131.6
9비사업형화물차경유40.043.741.844.242.843.742.836.041.945.435.038.036.936.534.034.738.633.2
용도별차종별사용연료별일평균전국주행거리(대당 키로미터)서울부산대구인천광주대전울산세종경기강원충북충남전북전남경북경남제주
22사업형승합차LPG130.8177.651.763.256.724.874.0107.10.049.448.156.130.167.951.472.270.861.4
23사업형승합차기타연료216.1191.4209.2253.4237.3193.3204.6261.0233.4222.4183.7235.7199.8234.7235.2223.2256.5179.6
24사업형화물차휘발유79.2128.40.00.00.00.00.00.00.028.90.00.016.90.00.00.00.00.0
25사업형화물차경유143.0119.5140.6152.9134.3154.4156.8146.3150.4139.3128.3152.5149.8169.3168.6162.2145.9120.1
26사업형화물차LPG113.6111.275.494.2119.8111.073.463.0125.6124.580.494.0100.793.073.7100.065.644.3
27사업형화물차기타연료74.971.467.475.680.261.774.360.369.381.463.378.177.872.567.377.478.655.8
28사업형특수차휘발유90.443.30.00.00.00.00.00.00.0106.30.00.077.80.00.00.074.90.0
29사업형특수차경유155.285.6225.7120.0156.1142.0119.8169.295.2112.7100.5195.1143.2153.6192.3167.6174.159.6
30사업형특수차LPG37.338.40.00.00.00.02.30.00.00.00.00.00.00.00.00.00.00.0
31사업형특수차기타연료125.10.076.20.00.00.00.00.00.025.30.00.0282.40.072.473.7204.00.0