Overview

Dataset statistics

Number of variables21
Number of observations48
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.8 KiB
Average record size in memory188.8 B

Variable types

Categorical3
Numeric18

Dataset

Description국내에 등록되어 도로를 운행 중인 자동차의 용도별, 차종별, 연료별 연간 자동차 주행거리 현황입니다. 단위 : (천km)
URLhttps://www.data.go.kr/data/15088452/fileData.do

Alerts

전국 has 1 (2.1%) zerosZeros
서울 has 2 (4.2%) zerosZeros
부산 has 7 (14.6%) zerosZeros
대구 has 9 (18.8%) zerosZeros
인천 has 6 (12.5%) zerosZeros
광주 has 10 (20.8%) zerosZeros
대전 has 8 (16.7%) zerosZeros
울산 has 10 (20.8%) zerosZeros
세종 has 11 (22.9%) zerosZeros
경기 has 5 (10.4%) zerosZeros
강원 has 9 (18.8%) zerosZeros
충북 has 9 (18.8%) zerosZeros
충남 has 5 (10.4%) zerosZeros
전북 has 6 (12.5%) zerosZeros
전남 has 7 (14.6%) zerosZeros
경북 has 6 (12.5%) zerosZeros
경남 has 5 (10.4%) zerosZeros
제주 has 7 (14.6%) zerosZeros

Reproduction

Analysis started2023-12-12 14:34:06.898335
Analysis finished2023-12-12 14:34:07.087456
Duration0.19 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

용도별
Categorical

Distinct3
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
전체
16 
비사업형
16 
사업형
16 

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 16
33.3%
비사업형 16
33.3%
사업형 16
33.3%

Length

2023-12-12T23:34:07.482557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:34:07.584589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체 16
33.3%
비사업형 16
33.3%
사업형 16
33.3%

차종별
Categorical

Distinct4
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size516.0 B
승용차
12 
승합차
12 
화물차
12 
특수차
12 

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 12
25.0%
승합차 12
25.0%
화물차 12
25.0%
특수차 12
25.0%

Length

2023-12-12T23:34:07.683899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:34:07.772617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
승용차 12
25.0%
승합차 12
25.0%
화물차 12
25.0%
특수차 12
25.0%

사용연료별
Categorical

Distinct4
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size516.0 B
휘발유
12 
경유
12 
LPG
12 
기타연료
12 

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 12
25.0%
경유 12
25.0%
LPG 12
25.0%
기타연료 12
25.0%

Length

2023-12-12T23:34:07.889466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:34:08.001643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휘발유 12
25.0%
경유 12
25.0%
lpg 12
25.0%
기타연료 12
25.0%

전국
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13731414
Minimum0
Maximum1.1686756 × 108
Zeros1
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-12T23:34:08.143008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile297.65
Q133686.75
median1087751
Q38365860.2
95-th percentile84446323
Maximum1.1686756 × 108
Range1.1686756 × 108
Interquartile range (IQR)8332173.5

Descriptive statistics

Standard deviation28735699
Coefficient of variation (CV)2.0926978
Kurtosis5.885714
Mean13731414
Median Absolute Deviation (MAD)1087441.5
Skewness2.5819422
Sum6.5910785 × 108
Variance8.257404 × 1014
MonotonicityNot monotonic
2023-12-12T23:34:08.365310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
270 2
 
4.2%
43694501 1
 
2.1%
630570 1
 
2.1%
396147 1
 
2.1%
1408 1
 
2.1%
14932 1
 
2.1%
6208371 1
 
2.1%
6810572 1
 
2.1%
12323414 1
 
2.1%
704183 1
 
2.1%
Other values (37) 37
77.1%
ValueCountFrequency (%)
0 1
2.1%
270 2
4.2%
349 1
2.1%
1260 1
2.1%
1408 1
2.1%
1977 1
2.1%
3386 1
2.1%
10141 1
2.1%
14932 1
2.1%
18915 1
2.1%
ValueCountFrequency (%)
116867557 1
2.1%
110659186 1
2.1%
86830023 1
2.1%
80019451 1
2.1%
61498762 1
2.1%
43694501 1
2.1%
30751266 1
2.1%
18427852 1
2.1%
17804261 1
2.1%
14122146 1
2.1%

서울
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1671445.4
Minimum0
Maximum15251671
Zeros2
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-12T23:34:08.514547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile65.15
Q16017.75
median227416
Q31182296
95-th percentile9795596.2
Maximum15251671
Range15251671
Interquartile range (IQR)1176278.2

Descriptive statistics

Standard deviation3562925.6
Coefficient of variation (CV)2.1316434
Kurtosis7.6853247
Mean1671445.4
Median Absolute Deviation (MAD)227315
Skewness2.8415672
Sum80229379
Variance1.2694439 × 1013
MonotonicityNot monotonic
2023-12-12T23:34:08.705215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
101 2
 
4.2%
0 2
 
4.2%
3165 2
 
4.2%
592 1
 
2.1%
215860 1
 
2.1%
196112 1
 
2.1%
32911 1
 
2.1%
55 1
 
2.1%
482125 1
 
2.1%
361685 1
 
2.1%
Other values (35) 35
72.9%
ValueCountFrequency (%)
0 2
4.2%
55 1
2.1%
84 1
2.1%
101 2
4.2%
592 1
2.1%
1951 1
2.1%
2005 1
2.1%
3165 2
4.2%
4685 1
2.1%
6462 1
2.1%
ValueCountFrequency (%)
15251671 1
2.1%
14769546 1
2.1%
9922186 1
2.1%
9560501 1
2.1%
6047503 1
2.1%
4067947 1
2.1%
3862306 1
2.1%
2310539 1
2.1%
2185197 1
2.1%
1757408 1
2.1%

부산
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean842694.65
Minimum0
Maximum6808340
Zeros7
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-12T23:34:08.857609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11191
median71194.5
Q3735218.75
95-th percentile4572683
Maximum6808340
Range6808340
Interquartile range (IQR)734027.75

Descriptive statistics

Standard deviation1657474.6
Coefficient of variation (CV)1.9668745
Kurtosis5.6571357
Mean842694.65
Median Absolute Deviation (MAD)71194.5
Skewness2.490837
Sum40449343
Variance2.7472221 × 1012
MonotonicityNot monotonic
2023-12-12T23:34:09.045528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 7
 
14.6%
22523 2
 
4.2%
5 2
 
4.2%
4944 2
 
4.2%
57 2
 
4.2%
2357929 1
 
2.1%
67798 1
 
2.1%
17986 1
 
2.1%
304996 1
 
2.1%
341617 1
 
2.1%
Other values (28) 28
58.3%
ValueCountFrequency (%)
0 7
14.6%
5 2
 
4.2%
37 1
 
2.1%
57 2
 
4.2%
1569 1
 
2.1%
2195 1
 
2.1%
2233 1
 
2.1%
3399 1
 
2.1%
4944 2
 
4.2%
6793 1
 
2.1%
ValueCountFrequency (%)
6808340 1
2.1%
6503344 1
2.1%
4692249 1
2.1%
4350632 1
2.1%
3812140 1
2.1%
2357929 1
2.1%
2320609 1
2.1%
1454211 1
2.1%
1331609 1
2.1%
989001 1
2.1%

대구
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)77.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean665350.58
Minimum0
Maximum5763724
Zeros9
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-12T23:34:09.191159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1150
median50984
Q3425745
95-th percentile4088186.4
Maximum5763724
Range5763724
Interquartile range (IQR)425595

Descriptive statistics

Standard deviation1444163
Coefficient of variation (CV)2.1705294
Kurtosis5.9203791
Mean665350.58
Median Absolute Deviation (MAD)50984
Skewness2.5796167
Sum31936828
Variance2.0856068 × 1012
MonotonicityNot monotonic
2023-12-12T23:34:09.359138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 9
 
18.8%
53870 2
 
4.2%
150 2
 
4.2%
4181 2
 
4.2%
5763724 1
 
2.1%
2133372 1
 
2.1%
59476 1
 
2.1%
14453 1
 
2.1%
48098 1
 
2.1%
56999 1
 
2.1%
Other values (27) 27
56.2%
ValueCountFrequency (%)
0 9
18.8%
47 1
 
2.1%
76 1
 
2.1%
150 2
 
4.2%
1242 1
 
2.1%
1317 1
 
2.1%
3458 1
 
2.1%
4181 2
 
4.2%
9301 1
 
2.1%
11948 1
 
2.1%
ValueCountFrequency (%)
5763724 1
2.1%
5715626 1
2.1%
4108136 1
2.1%
4051137 1
2.1%
3032051 1
2.1%
2133372 1
2.1%
1767321 1
2.1%
1100851 1
2.1%
898679 1
2.1%
666470 1
2.1%

인천
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1021559
Minimum0
Maximum8621468
Zeros6
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-12T23:34:09.536737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12776.75
median84649
Q3825130.75
95-th percentile5877606.7
Maximum8621468
Range8621468
Interquartile range (IQR)822354

Descriptive statistics

Standard deviation2014962
Coefficient of variation (CV)1.9724382
Kurtosis6.0516886
Mean1021559
Median Absolute Deviation (MAD)84649
Skewness2.5307363
Sum49034831
Variance4.0600717 × 1012
MonotonicityNot monotonic
2023-12-12T23:34:09.686629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 6
 
12.5%
27 2
 
4.2%
5549 2
 
4.2%
26 2
 
4.2%
8621468 1
 
2.1%
81235 1
 
2.1%
5532 1
 
2.1%
33899 1
 
2.1%
2246989 1
 
2.1%
2603174 1
 
2.1%
Other values (30) 30
62.5%
ValueCountFrequency (%)
0 6
12.5%
12 1
 
2.1%
26 2
 
4.2%
27 2
 
4.2%
2590 1
 
2.1%
2839 1
 
2.1%
2851 1
 
2.1%
5532 1
 
2.1%
5549 2
 
4.2%
5557 1
 
2.1%
ValueCountFrequency (%)
8621468 1
2.1%
7558018 1
2.1%
6374479 1
2.1%
4954844 1
2.1%
3496730 1
2.1%
2645804 1
2.1%
2603174 1
2.1%
2562571 1
2.1%
2246989 1
2.1%
1784059 1
2.1%

광주
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)72.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean390714.23
Minimum0
Maximum3121261
Zeros10
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-12T23:34:09.835651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q177.25
median24041.5
Q3225977.25
95-th percentile2403645.4
Maximum3121261
Range3121261
Interquartile range (IQR)225900

Descriptive statistics

Standard deviation813314.43
Coefficient of variation (CV)2.0816095
Kurtosis4.8515115
Mean390714.23
Median Absolute Deviation (MAD)24041.5
Skewness2.3974618
Sum18754283
Variance6.6148037 × 1011
MonotonicityNot monotonic
2023-12-12T23:34:10.040779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 10
 
20.8%
6794 2
 
4.2%
928 2
 
4.2%
54 2
 
4.2%
1417 2
 
4.2%
3121261 1
 
2.1%
32163 1
 
2.1%
11100 1
 
2.1%
36820 1
 
2.1%
55434 1
 
2.1%
Other values (25) 25
52.1%
ValueCountFrequency (%)
0 10
20.8%
54 2
 
4.2%
85 1
 
2.1%
928 2
 
4.2%
1417 2
 
4.2%
2425 1
 
2.1%
3345 1
 
2.1%
6794 2
 
4.2%
8110 1
 
2.1%
11100 1
 
2.1%
ValueCountFrequency (%)
3121261 1
2.1%
3084441 1
2.1%
2423047 1
2.1%
2367614 1
2.1%
1755778 1
2.1%
1294888 1
2.1%
1125144 1
2.1%
920656 1
2.1%
630635 1
2.1%
374232 1
2.1%

대전
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean380812.56
Minimum0
Maximum3329225
Zeros8
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-12T23:34:10.227489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1105.75
median25630
Q3210057.25
95-th percentile2307664.5
Maximum3329225
Range3329225
Interquartile range (IQR)209951.5

Descriptive statistics

Standard deviation822878.31
Coefficient of variation (CV)2.1608486
Kurtosis6.2374174
Mean380812.56
Median Absolute Deviation (MAD)25630
Skewness2.6225303
Sum18279003
Variance6.7712871 × 1011
MonotonicityNot monotonic
2023-12-12T23:34:10.393673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 8
 
16.7%
7 2
 
4.2%
1245 2
 
4.2%
2098 2
 
4.2%
9 2
 
4.2%
39486 2
 
4.2%
3329225 1
 
2.1%
25021 1
 
2.1%
9817 1
 
2.1%
32640 1
 
2.1%
Other values (26) 26
54.2%
ValueCountFrequency (%)
0 8
16.7%
7 2
 
4.2%
9 2
 
4.2%
138 1
 
2.1%
939 1
 
2.1%
1218 1
 
2.1%
1245 2
 
4.2%
2098 2
 
4.2%
2942 1
 
2.1%
9817 1
 
2.1%
ValueCountFrequency (%)
3329225 1
2.1%
3296585 1
2.1%
2320477 1
2.1%
2283870 1
2.1%
1685275 1
2.1%
1073549 1
2.1%
1016722 1
2.1%
658165 1
2.1%
611726 1
2.1%
358556 1
2.1%

울산
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)72.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean307698.85
Minimum0
Maximum2912692
Zeros10
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-12T23:34:10.555656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1474
median17413
Q3162110.25
95-th percentile1997495.3
Maximum2912692
Range2912692
Interquartile range (IQR)161636.25

Descriptive statistics

Standard deviation701432.88
Coefficient of variation (CV)2.2796084
Kurtosis7.511864
Mean307698.85
Median Absolute Deviation (MAD)17413
Skewness2.855094
Sum14769545
Variance4.9200809 × 1011
MonotonicityNot monotonic
2023-12-12T23:34:10.706797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 10
 
20.8%
2606 2
 
4.2%
474 2
 
4.2%
10741 2
 
4.2%
1345 2
 
4.2%
2912692 1
 
2.1%
20050 1
 
2.1%
10054 1
 
2.1%
28282 1
 
2.1%
22019 1
 
2.1%
Other values (25) 25
52.1%
ValueCountFrequency (%)
0 10
20.8%
102 1
 
2.1%
474 2
 
4.2%
477 1
 
2.1%
582 1
 
2.1%
1345 2
 
4.2%
1349 1
 
2.1%
2606 2
 
4.2%
10054 1
 
2.1%
10741 2
 
4.2%
ValueCountFrequency (%)
2912692 1
2.1%
2884410 1
2.1%
2005202 1
2.1%
1983183 1
2.1%
1208818 1
2.1%
772321 1
2.1%
538611 1
2.1%
436497 1
2.1%
359414 1
2.1%
235627 1
2.1%

세종
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95139.688
Minimum0
Maximum933502
Zeros11
Zeros (%)22.9%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-12T23:34:10.867189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2552
Q360602.5
95-th percentile682188.8
Maximum933502
Range933502
Interquartile range (IQR)60601.5

Descriptive statistics

Standard deviation228652.07
Coefficient of variation (CV)2.4033301
Kurtosis7.6467299
Mean95139.688
Median Absolute Deviation (MAD)2552
Skewness2.9014427
Sum4566705
Variance5.2281769 × 1010
MonotonicityNot monotonic
2023-12-12T23:34:11.001666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 11
22.9%
195 2
 
4.2%
4303 2
 
4.2%
539 2
 
4.2%
59 2
 
4.2%
1 2
 
4.2%
933502 1
 
2.1%
7873 1
 
2.1%
3911 1
 
2.1%
2712 1
 
2.1%
Other values (23) 23
47.9%
ValueCountFrequency (%)
0 11
22.9%
1 2
 
4.2%
59 2
 
4.2%
195 2
 
4.2%
199 1
 
2.1%
217 1
 
2.1%
539 2
 
4.2%
1216 1
 
2.1%
1735 1
 
2.1%
2392 1
 
2.1%
ValueCountFrequency (%)
933502 1
2.1%
932285 1
2.1%
683026 1
2.1%
680634 1
2.1%
296980 1
2.1%
206009 1
2.1%
171445 1
2.1%
163572 1
2.1%
90971 1
2.1%
89154 1
2.1%

경기
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3370221
Minimum0
Maximum29605058
Zeros5
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-12T23:34:11.147281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15305.25
median233097
Q32126351
95-th percentile21555099
Maximum29605058
Range29605058
Interquartile range (IQR)2121045.8

Descriptive statistics

Standard deviation7423447.5
Coefficient of variation (CV)2.2026589
Kurtosis6.1135397
Mean3370221
Median Absolute Deviation (MAD)233084
Skewness2.6344711
Sum1.6177061 × 108
Variance5.5107572 × 1013
MonotonicityNot monotonic
2023-12-12T23:34:11.300981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 5
 
10.4%
26 2
 
4.2%
286 2
 
4.2%
29605058 1
 
2.1%
10643849 1
 
2.1%
305536 1
 
2.1%
20062 1
 
2.1%
83058 1
 
2.1%
352170 1
 
2.1%
201118 1
 
2.1%
Other values (32) 32
66.7%
ValueCountFrequency (%)
0 5
10.4%
26 2
 
4.2%
265 1
 
2.1%
286 2
 
4.2%
418 1
 
2.1%
725 1
 
2.1%
6832 1
 
2.1%
11721 1
 
2.1%
12139 1
 
2.1%
13804 1
 
2.1%
ValueCountFrequency (%)
29605058 1
2.1%
29252888 1
2.1%
21625490 1
2.1%
21424373 1
2.1%
15790986 1
2.1%
10643849 1
2.1%
5676893 1
2.1%
5147137 1
2.1%
4118398 1
2.1%
4021072 1
2.1%

강원
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)77.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean442465.08
Minimum0
Maximum3563630
Zeros9
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-12T23:34:11.460202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q173.5
median28580
Q3273152
95-th percentile2868361.6
Maximum3563630
Range3563630
Interquartile range (IQR)273078.5

Descriptive statistics

Standard deviation951382.5
Coefficient of variation (CV)2.1501866
Kurtosis4.74212
Mean442465.08
Median Absolute Deviation (MAD)28580
Skewness2.4234943
Sum21238324
Variance9.0512866 × 1011
MonotonicityNot monotonic
2023-12-12T23:34:11.665184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 9
 
18.8%
14803 2
 
4.2%
27 2
 
4.2%
7525 2
 
4.2%
3563630 1
 
2.1%
1835712 1
 
2.1%
42484 1
 
2.1%
17226 1
 
2.1%
37059 1
 
2.1%
35024 1
 
2.1%
Other values (27) 27
56.2%
ValueCountFrequency (%)
0 9
18.8%
18 1
 
2.1%
27 2
 
4.2%
89 1
 
2.1%
852 1
 
2.1%
1001 1
 
2.1%
1019 1
 
2.1%
1348 1
 
2.1%
3287 1
 
2.1%
7525 2
 
4.2%
ValueCountFrequency (%)
3563630 1
2.1%
3526572 1
2.1%
2880620 1
2.1%
2845596 1
2.1%
2229893 1
2.1%
1835712 1
2.1%
877064 1
2.1%
612763 1
2.1%
598718 1
2.1%
394181 1
2.1%

충북
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)77.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean492819.44
Minimum0
Maximum3947391
Zeros9
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-12T23:34:11.839812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q168
median24817
Q3273025
95-th percentile3023942.1
Maximum3947391
Range3947391
Interquartile range (IQR)272957

Descriptive statistics

Standard deviation1038298.9
Coefficient of variation (CV)2.1068547
Kurtosis4.7897114
Mean492819.44
Median Absolute Deviation (MAD)24817
Skewness2.415439
Sum23655333
Variance1.0780647 × 1012
MonotonicityNot monotonic
2023-12-12T23:34:12.028926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 9
 
18.8%
24284 2
 
4.2%
38 2
 
4.2%
5975 2
 
4.2%
3947391 1
 
2.1%
1892156 1
 
2.1%
30738 1
 
2.1%
17258 1
 
2.1%
44519 1
 
2.1%
49791 1
 
2.1%
Other values (27) 27
56.2%
ValueCountFrequency (%)
0 9
18.8%
15 1
 
2.1%
38 2
 
4.2%
78 1
 
2.1%
136 1
 
2.1%
874 1
 
2.1%
889 1
 
2.1%
1714 1
 
2.1%
2450 1
 
2.1%
5975 2
 
4.2%
ValueCountFrequency (%)
3947391 1
2.1%
3902872 1
2.1%
3041369 1
2.1%
2991578 1
2.1%
2600777 1
2.1%
1892156 1
2.1%
1040787 1
2.1%
712283 1
2.1%
708621 1
2.1%
606402 1
2.1%

충남
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean658261.62
Minimum0
Maximum5398890
Zeros5
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-12T23:34:12.182921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11002.25
median31298.5
Q3336110
95-th percentile4125450.5
Maximum5398890
Range5398890
Interquartile range (IQR)335107.75

Descriptive statistics

Standard deviation1416549.7
Coefficient of variation (CV)2.1519554
Kurtosis4.9277976
Mean658261.62
Median Absolute Deviation (MAD)31279
Skewness2.4426744
Sum31596558
Variance2.0066129 × 1012
MonotonicityNot monotonic
2023-12-12T23:34:12.352954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 5
 
10.4%
9550 2
 
4.2%
8 2
 
4.2%
10141 2
 
4.2%
6824 2
 
4.2%
100 2
 
4.2%
37979 1
 
2.1%
27414 1
 
2.1%
54228 1
 
2.1%
60227 1
 
2.1%
Other values (29) 29
60.4%
ValueCountFrequency (%)
0 5
10.4%
8 2
 
4.2%
31 1
 
2.1%
73 1
 
2.1%
100 2
 
4.2%
538 1
 
2.1%
1157 1
 
2.1%
1828 1
 
2.1%
1859 1
 
2.1%
2809 1
 
2.1%
ValueCountFrequency (%)
5398890 1
2.1%
5344662 1
2.1%
4146530 1
2.1%
4086303 1
2.1%
3448258 1
2.1%
2596964 1
2.1%
1240655 1
2.1%
990270 1
2.1%
927638 1
2.1%
851294 1
2.1%

전북
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean541568.79
Minimum0
Maximum4102110
Zeros6
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-12T23:34:12.483412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1682.75
median34806.5
Q3280100
95-th percentile3454485.2
Maximum4102110
Range4102110
Interquartile range (IQR)279417.25

Descriptive statistics

Standard deviation1129196.7
Coefficient of variation (CV)2.0850476
Kurtosis4.0701981
Mean541568.79
Median Absolute Deviation (MAD)34806.5
Skewness2.3013944
Sum25995302
Variance1.2750853 × 1012
MonotonicityNot monotonic
2023-12-12T23:34:12.618040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 6
 
12.5%
19 2
 
4.2%
3438 2
 
4.2%
160 2
 
4.2%
4102110 1
 
2.1%
34123 1
 
2.1%
42012 1
 
2.1%
20441 1
 
2.1%
80331 1
 
2.1%
95905 1
 
2.1%
Other values (30) 30
62.5%
ValueCountFrequency (%)
0 6
12.5%
19 2
 
4.2%
51 1
 
2.1%
160 2
 
4.2%
208 1
 
2.1%
841 1
 
2.1%
892 1
 
2.1%
1366 1
 
2.1%
2336 1
 
2.1%
3438 2
 
4.2%
ValueCountFrequency (%)
4102110 1
2.1%
4021779 1
2.1%
3488052 1
2.1%
3392147 1
2.1%
2877817 1
2.1%
2194594 1
2.1%
1363881 1
2.1%
1024354 1
2.1%
683223 1
2.1%
598436 1
2.1%

전남
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean650288.21
Minimum0
Maximum4794664
Zeros7
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-12T23:34:13.101015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1850.25
median44026
Q3578638
95-th percentile3783848.7
Maximum4794664
Range4794664
Interquartile range (IQR)577787.75

Descriptive statistics

Standard deviation1250665.3
Coefficient of variation (CV)1.9232477
Kurtosis3.9561977
Mean650288.21
Median Absolute Deviation (MAD)44026
Skewness2.2388084
Sum31213834
Variance1.5641636 × 1012
MonotonicityNot monotonic
2023-12-12T23:34:13.259195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 7
 
14.6%
17 2
 
4.2%
1056 2
 
4.2%
3148 2
 
4.2%
102 2
 
4.2%
4794664 1
 
2.1%
41598 1
 
2.1%
57200 1
 
2.1%
23595 1
 
2.1%
773783 1
 
2.1%
Other values (28) 28
58.3%
ValueCountFrequency (%)
0 7
14.6%
17 2
 
4.2%
102 2
 
4.2%
233 1
 
2.1%
1056 2
 
4.2%
1565 1
 
2.1%
3148 2
 
4.2%
6753 1
 
2.1%
11359 1
 
2.1%
13124 1
 
2.1%
ValueCountFrequency (%)
4794664 1
2.1%
4294207 1
2.1%
4020881 1
2.1%
3343646 1
2.1%
3330696 1
2.1%
2589926 1
2.1%
1589740 1
2.1%
1065146 1
2.1%
950562 1
2.1%
773783 1
2.1%

경북
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean830623.52
Minimum0
Maximum6800914
Zeros6
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-12T23:34:13.390822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11104.5
median56298
Q3538125.25
95-th percentile4723094.2
Maximum6800914
Range6800914
Interquartile range (IQR)537020.75

Descriptive statistics

Standard deviation1746041.9
Coefficient of variation (CV)2.1020858
Kurtosis5.1328775
Mean830623.52
Median Absolute Deviation (MAD)56298
Skewness2.459411
Sum39869929
Variance3.0486625 × 1012
MonotonicityNot monotonic
2023-12-12T23:34:13.545415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 6
 
12.5%
2 2
 
4.2%
1667 2
 
4.2%
6396 2
 
4.2%
6800914 1
 
2.1%
47101 1
 
2.1%
36825 1
 
2.1%
125 1
 
2.1%
28515 1
 
2.1%
26891 1
 
2.1%
Other values (30) 30
62.5%
ValueCountFrequency (%)
0 6
12.5%
2 2
 
4.2%
26 1
 
2.1%
27 1
 
2.1%
125 1
 
2.1%
152 1
 
2.1%
1422 1
 
2.1%
1667 2
 
4.2%
4065 1
 
2.1%
4945 1
 
2.1%
ValueCountFrequency (%)
6800914 1
2.1%
6772399 1
2.1%
4732506 1
2.1%
4705615 1
2.1%
4416515 1
2.1%
3500195 1
2.1%
1707179 1
2.1%
1410545 1
2.1%
916320 1
2.1%
828671 1
2.1%

경남
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean991870.48
Minimum0
Maximum8990178
Zeros5
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-12T23:34:13.684036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11315.75
median80468.5
Q3514901
95-th percentile6050877.1
Maximum8990178
Range8990178
Interquartile range (IQR)513585.25

Descriptive statistics

Standard deviation2179441.6
Coefficient of variation (CV)2.1973047
Kurtosis6.57344
Mean991870.48
Median Absolute Deviation (MAD)80442.5
Skewness2.6900437
Sum47609783
Variance4.7499658 × 1012
MonotonicityNot monotonic
2023-12-12T23:34:13.822353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 5
 
10.4%
52 2
 
4.2%
1432 2
 
4.2%
5437 2
 
4.2%
967 2
 
4.2%
201 2
 
4.2%
85102 1
 
2.1%
30626 1
 
2.1%
278207 1
 
2.1%
340491 1
 
2.1%
Other values (29) 29
60.4%
ValueCountFrequency (%)
0 5
10.4%
52 2
 
4.2%
201 2
 
4.2%
670 1
 
2.1%
967 2
 
4.2%
1432 2
 
4.2%
2797 1
 
2.1%
5437 2
 
4.2%
5829 1
 
2.1%
17256 1
 
2.1%
ValueCountFrequency (%)
8990178 1
2.1%
8711971 1
2.1%
6170049 1
2.1%
5829558 1
2.1%
4462769 1
2.1%
3488581 1
2.1%
1969941 1
2.1%
1433434 1
2.1%
991671 1
2.1%
974188 1
2.1%

제주
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean377880.27
Minimum0
Maximum2922840
Zeros7
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-12T23:34:13.949206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q175.75
median24549.5
Q3301248.5
95-th percentile1561469.5
Maximum2922840
Range2922840
Interquartile range (IQR)301172.75

Descriptive statistics

Standard deviation702688.11
Coefficient of variation (CV)1.8595523
Kurtosis4.8197725
Mean377880.27
Median Absolute Deviation (MAD)24549.5
Skewness2.2436398
Sum18138253
Variance4.9377058 × 1011
MonotonicityNot monotonic
2023-12-12T23:34:14.079021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 7
 
14.6%
5 2
 
4.2%
7391 2
 
4.2%
3113 2
 
4.2%
18 2
 
4.2%
2922840 1
 
2.1%
31639 1
 
2.1%
3533 1
 
2.1%
6772 1
 
2.1%
1378394 1
 
2.1%
Other values (28) 28
58.3%
ValueCountFrequency (%)
0 7
14.6%
5 2
 
4.2%
9 1
 
2.1%
18 2
 
4.2%
95 1
 
2.1%
559 1
 
2.1%
568 1
 
2.1%
1076 1
 
2.1%
3113 2
 
4.2%
3533 1
 
2.1%
ValueCountFrequency (%)
2922840 1
2.1%
2738857 1
2.1%
1570636 1
2.1%
1544446 1
2.1%
1461780 1
2.1%
1378394 1
2.1%
1197888 1
2.1%
1168221 1
2.1%
1005775 1
2.1%
859323 1
2.1%

Sample

용도별차종별사용연료별전국서울부산대구인천광주대전울산세종경기강원충북충남전북전남경북경남제주
0전체승용차휘발유116867557152516716808340576372486214683121261332922529126929335022960505835636303947391539889041021104794664680091489901782922840
1전체승용차경유8683002399221864692249410813675580182423047232047720052026830262162549028806203041369414653034880524294207473250661700492738857
2전체승용차LPG3075126640679472320609176732126458041294888101672253861117144556768938770641040787124065513638811589740170717919699411461780
3전체승용차기타연료82466081363397450594432720584504228486201319146422891542136704241932235605308074260291291003373488507699395216
4전체승합차휘발유37818705322331317285192812454741951213910198891859892105616671432568
5전체승합차경유141221461576846676280436159812926271337288099235627796664021072612763606402927638598436767011828671991671391541
6전체승합차LPG100366018934682795407225921624084230371746443032381192862424856313353092444889571117711929716
7전체승합차기타연료2740748592766347291160796227796103543120704114593112766410823214348659362835922669357604561073867391
8전체화물차휘발유113668160374944418155491417209813455393570375255975682434383148639654373113
9전체화물차경유6149876260475033812140303205134967301755778168527512088182969801579098622298932600777344825828778173330696441651544627691005775
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