Overview

Dataset statistics

Number of variables22
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.6 KiB
Average record size in memory197.9 B

Variable types

Categorical4
Numeric18

Dataset

Description국내에 등록되어 도로를 운행 중인 자동차의 용도별, 차종별, 유형별, 규모별 연간 자동차 주행거리 현황입니다. 단위 : (천km)
URLhttps://www.data.go.kr/data/15088458/fileData.do

Alerts

전국 has unique valuesUnique
서울 has unique valuesUnique
부산 has unique valuesUnique
대구 has unique valuesUnique
인천 has unique valuesUnique
경기 has unique valuesUnique
충남 has unique valuesUnique
전북 has unique valuesUnique
전남 has unique valuesUnique
경남 has unique valuesUnique
제주 has unique valuesUnique
대구 has 1 (2.9%) zerosZeros
인천 has 1 (2.9%) zerosZeros
광주 has 2 (5.9%) zerosZeros
대전 has 2 (5.9%) zerosZeros
울산 has 2 (5.9%) zerosZeros
세종 has 5 (14.7%) zerosZeros
강원 has 2 (5.9%) zerosZeros
충북 has 2 (5.9%) zerosZeros
충남 has 1 (2.9%) zerosZeros
경북 has 2 (5.9%) zerosZeros
제주 has 1 (2.9%) zerosZeros

Reproduction

Analysis started2023-12-12 00:22:20.536728
Analysis finished2023-12-12 00:22:20.740215
Duration0.2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

용도별
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
비사업용
17 
사업용
17 

Length

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

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비사업용 17
50.0%
사업용 17
50.0%

Length

2023-12-12T09:22:20.818746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:22:20.943741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비사업용 17
50.0%
사업용 17
50.0%

차종별
Categorical

Distinct3
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
화물차
16 
승용차
12 
승합차

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 16
47.1%
승용차 12
35.3%
승합차 6
 
17.6%

Length

2023-12-12T09:22:21.059431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:22:21.158883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
화물차 16
47.1%
승용차 12
35.3%
승합차 6
 
17.6%

유형별
Categorical

Distinct4
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
일반형
20 
덤프형
다목적형
밴형

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 20
58.8%
덤프형 6
 
17.6%
다목적형 4
 
11.8%
밴형 4
 
11.8%

Length

2023-12-12T09:22:21.290173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:22:21.413891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반형 20
58.8%
덤프형 6
 
17.6%
다목적형 4
 
11.8%
밴형 4
 
11.8%

규모별
Categorical

Distinct4
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
중형
12 
소형
10 
대형
10 
경형

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 12
35.3%
소형 10
29.4%
대형 10
29.4%
경형 2
 
5.9%

Length

2023-12-12T09:22:21.560508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:22:21.741000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중형 12
35.3%
소형 10
29.4%
대형 10
29.4%
경형 2
 
5.9%

전국
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8736424.3
Minimum2323
Maximum82949477
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T09:22:21.880660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2323
5-th percentile8132.7
Q1232470
median2017188
Q37888663.8
95-th percentile41110129
Maximum82949477
Range82947154
Interquartile range (IQR)7656193.8

Descriptive statistics

Standard deviation16931967
Coefficient of variation (CV)1.9380889
Kurtosis11.18142
Mean8736424.3
Median Absolute Deviation (MAD)2002941
Skewness3.1348951
Sum2.9703843 × 108
Variance2.8669151 × 1014
MonotonicityNot monotonic
2023-12-12T09:22:22.040666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
16612905 1
 
2.9%
2308314 1
 
2.9%
5411578 1
 
2.9%
3347801 1
 
2.9%
737320 1
 
2.9%
11086 1
 
2.9%
1726062 1
 
2.9%
6348952 1
 
2.9%
2635770 1
 
2.9%
2648 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
2323 1
2.9%
2648 1
2.9%
11086 1
2.9%
12456 1
2.9%
16038 1
2.9%
17021 1
2.9%
46346 1
2.9%
99560 1
2.9%
196717 1
2.9%
339729 1
2.9%
ValueCountFrequency (%)
82949477 1
2.9%
41190526 1
2.9%
41066839 1
2.9%
26024276 1
2.9%
18848877 1
2.9%
16612905 1
2.9%
13641816 1
2.9%
8418902 1
2.9%
8401901 1
2.9%
6348952 1
2.9%

서울
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1067506.3
Minimum22
Maximum10296673
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T09:22:22.184344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile287.05
Q116568.25
median251300.5
Q3791760.25
95-th percentile5102285.2
Maximum10296673
Range10296651
Interquartile range (IQR)775192

Descriptive statistics

Standard deviation2141559
Coefficient of variation (CV)2.0061324
Kurtosis11.043672
Mean1067506.3
Median Absolute Deviation (MAD)249349.5
Skewness3.1842264
Sum36295215
Variance4.586275 × 1012
MonotonicityNot monotonic
2023-12-12T09:22:22.670915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1455697 1
 
2.9%
631817 1
 
2.9%
576829 1
 
2.9%
167389 1
 
2.9%
50440 1
 
2.9%
798 1
 
2.9%
229157 1
 
2.9%
797328 1
 
2.9%
360902 1
 
2.9%
81 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
22 1
2.9%
81 1
2.9%
398 1
2.9%
798 1
2.9%
3104 1
2.9%
3207 1
2.9%
3602 1
2.9%
4818 1
2.9%
5492 1
2.9%
49797 1
2.9%
ValueCountFrequency (%)
10296673 1
2.9%
6543696 1
2.9%
4326141 1
2.9%
2532678 1
2.9%
2393932 1
2.9%
2027823 1
2.9%
1455697 1
2.9%
1099519 1
2.9%
797328 1
2.9%
775057 1
2.9%

부산
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean524755.09
Minimum53
Maximum4934815
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T09:22:22.860417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53
5-th percentile594.6
Q14113.25
median111489.5
Q3452346
95-th percentile2314803.1
Maximum4934815
Range4934762
Interquartile range (IQR)448232.75

Descriptive statistics

Standard deviation1001391
Coefficient of variation (CV)1.9083016
Kurtosis11.316637
Mean524755.09
Median Absolute Deviation (MAD)110593
Skewness3.1224425
Sum17841673
Variance1.0027839 × 1012
MonotonicityNot monotonic
2023-12-12T09:22:23.049348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
884875 1
 
2.9%
113390 1
 
2.9%
277423 1
 
2.9%
132512 1
 
2.9%
49051 1
 
2.9%
952 1
 
2.9%
109589 1
 
2.9%
460162 1
 
2.9%
225010 1
 
2.9%
53 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
53 1
2.9%
137 1
2.9%
841 1
2.9%
952 1
2.9%
1031 1
2.9%
1690 1
2.9%
1934 1
2.9%
3276 1
2.9%
3622 1
2.9%
5587 1
2.9%
ValueCountFrequency (%)
4934815 1
2.9%
2509690 1
2.9%
2209864 1
2.9%
1413710 1
2.9%
1351707 1
2.9%
912314 1
2.9%
884875 1
2.9%
847731 1
2.9%
460162 1
2.9%
428898 1
2.9%

대구
Real number (ℝ)

UNIQUE  ZEROS 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean429136.85
Minimum0
Maximum4339120
Zeros1
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T09:22:23.219793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28.5
Q14821.75
median53327
Q3317291.75
95-th percentile2188417.9
Maximum4339120
Range4339120
Interquartile range (IQR)312470

Descriptive statistics

Standard deviation897503.39
Coefficient of variation (CV)2.0914153
Kurtosis11.193238
Mean429136.85
Median Absolute Deviation (MAD)53303
Skewness3.1862875
Sum14590653
Variance8.0551233 × 1011
MonotonicityNot monotonic
2023-12-12T09:22:23.388194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
747295 1
 
2.9%
82717 1
 
2.9%
132829 1
 
2.9%
23433 1
 
2.9%
7767 1
 
2.9%
0 1
 
2.9%
43313 1
 
2.9%
228468 1
 
2.9%
139977 1
 
2.9%
39 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
0 1
2.9%
9 1
2.9%
39 1
2.9%
233 1
2.9%
438 1
2.9%
757 1
2.9%
1167 1
2.9%
2729 1
2.9%
3840 1
2.9%
7767 1
2.9%
ValueCountFrequency (%)
4339120 1
2.9%
2463949 1
2.9%
2040055 1
2.9%
1178396 1
2.9%
945561 1
2.9%
747295 1
2.9%
592479 1
2.9%
481180 1
2.9%
321688 1
2.9%
304103 1
2.9%

인천
Real number (ℝ)

UNIQUE  ZEROS 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean640863.03
Minimum0
Maximum4787839
Zeros1
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T09:22:23.557352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile436.3
Q16735.25
median194069.5
Q3923576.25
95-th percentile2512380.1
Maximum4787839
Range4787839
Interquartile range (IQR)916841

Descriptive statistics

Standard deviation1044701.5
Coefficient of variation (CV)1.6301478
Kurtosis6.7997613
Mean640863.03
Median Absolute Deviation (MAD)192915
Skewness2.4285739
Sum21789343
Variance1.0914011 × 1012
MonotonicityNot monotonic
2023-12-12T09:22:23.739505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1120056 1
 
2.9%
136402 1
 
2.9%
1539037 1
 
2.9%
1289412 1
 
2.9%
270078 1
 
2.9%
1302 1
 
2.9%
228646 1
 
2.9%
271273 1
 
2.9%
132454 1
 
2.9%
479 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
0 1
2.9%
357 1
2.9%
479 1
2.9%
535 1
2.9%
593 1
2.9%
1007 1
2.9%
1302 1
2.9%
2282 1
2.9%
4368 1
2.9%
13837 1
2.9%
ValueCountFrequency (%)
4787839 1
2.9%
2572485 1
2.9%
2480016 1
2.9%
2198749 1
2.9%
1539037 1
2.9%
1399190 1
2.9%
1289412 1
2.9%
1120056 1
2.9%
1055505 1
2.9%
527790 1
2.9%

광주
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean248760.59
Minimum0
Maximum2541634
Zeros2
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T09:22:23.912425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16.25
Q11969.5
median32936.5
Q3193247
95-th percentile1321636.3
Maximum2541634
Range2541634
Interquartile range (IQR)191277.5

Descriptive statistics

Standard deviation525900.14
Coefficient of variation (CV)2.1140814
Kurtosis11.271866
Mean248760.59
Median Absolute Deviation (MAD)32861.5
Skewness3.2094055
Sum8457860
Variance2.7657096 × 1011
MonotonicityNot monotonic
2023-12-12T09:22:24.065027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 2
 
5.9%
127642 1
 
2.9%
322080 1
 
2.9%
95385 1
 
2.9%
25199 1
 
2.9%
7398 1
 
2.9%
25 1
 
2.9%
35760 1
 
2.9%
349476 1
 
2.9%
76720 1
 
2.9%
Other values (23) 23
67.6%
ValueCountFrequency (%)
0 2
5.9%
25 1
2.9%
125 1
2.9%
291 1
2.9%
368 1
2.9%
663 1
2.9%
1274 1
2.9%
1365 1
2.9%
3783 1
2.9%
5570 1
2.9%
ValueCountFrequency (%)
2541634 1
2.9%
1407422 1
2.9%
1275444 1
2.9%
645127 1
2.9%
524064 1
2.9%
356984 1
2.9%
349476 1
2.9%
322080 1
2.9%
205510 1
2.9%
156458 1
2.9%

대전
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean242549.79
Minimum0
Maximum2613570
Zeros2
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T09:22:24.215755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.4
Q12557.5
median23762
Q3213606.75
95-th percentile1156746.3
Maximum2613570
Range2613570
Interquartile range (IQR)211049.25

Descriptive statistics

Standard deviation514937.36
Coefficient of variation (CV)2.1230171
Kurtosis13.853566
Mean242549.79
Median Absolute Deviation (MAD)23762
Skewness3.4750871
Sum8246693
Variance2.6516048 × 1011
MonotonicityNot monotonic
2023-12-12T09:22:24.417211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 2
 
5.9%
55027 1
 
2.9%
312885 1
 
2.9%
76278 1
 
2.9%
17364 1
 
2.9%
6359 1
 
2.9%
20628 1
 
2.9%
149009 1
 
2.9%
493739 1
 
2.9%
99157 1
 
2.9%
Other values (23) 23
67.6%
ValueCountFrequency (%)
0 2
5.9%
16 1
2.9%
294 1
2.9%
406 1
2.9%
496 1
2.9%
707 1
2.9%
1916 1
2.9%
2377 1
2.9%
3099 1
2.9%
6359 1
2.9%
ValueCountFrequency (%)
2613570 1
2.9%
1203755 1
2.9%
1131434 1
2.9%
598450 1
2.9%
493739 1
2.9%
488195 1
2.9%
341737 1
2.9%
312885 1
2.9%
229514 1
2.9%
165885 1
2.9%

울산
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean197965.29
Minimum0
Maximum1913867
Zeros2
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T09:22:24.574751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile54.6
Q12094.5
median24442.5
Q3153695.5
95-th percentile1058920.1
Maximum1913867
Range1913867
Interquartile range (IQR)151601

Descriptive statistics

Standard deviation407948.85
Coefficient of variation (CV)2.0607089
Kurtosis9.6692596
Mean197965.29
Median Absolute Deviation (MAD)24120.5
Skewness2.9884646
Sum6730820
Variance1.6642226 × 1011
MonotonicityNot monotonic
2023-12-12T09:22:24.755613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 2
 
5.9%
23074 1
 
2.9%
156837 1
 
2.9%
48506 1
 
2.9%
13770 1
 
2.9%
2441 1
 
2.9%
30407 1
 
2.9%
165118 1
 
2.9%
465047 1
 
2.9%
81073 1
 
2.9%
Other values (23) 23
67.6%
ValueCountFrequency (%)
0 2
5.9%
84 1
2.9%
265 1
2.9%
386 1
2.9%
486 1
2.9%
742 1
2.9%
1901 1
2.9%
1979 1
2.9%
2441 1
2.9%
4344 1
2.9%
ValueCountFrequency (%)
1913867 1
2.9%
1102903 1
2.9%
1035237 1
2.9%
496280 1
2.9%
465047 1
2.9%
464557 1
2.9%
307797 1
2.9%
165118 1
2.9%
156837 1
2.9%
144271 1
2.9%

세종
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62143.147
Minimum0
Maximum798404
Zeros5
Zeros (%)14.7%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T09:22:24.918832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1419.5
median4454.5
Q325382
95-th percentile321700.95
Maximum798404
Range798404
Interquartile range (IQR)24962.5

Descriptive statistics

Standard deviation154572.87
Coefficient of variation (CV)2.4873679
Kurtosis16.143884
Mean62143.147
Median Absolute Deviation (MAD)4454.5
Skewness3.7945489
Sum2112867
Variance2.3892771 × 1010
MonotonicityNot monotonic
2023-12-12T09:22:25.087780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 5
 
14.7%
153363 1
 
2.9%
1373 1
 
2.9%
197 1
 
2.9%
46 1
 
2.9%
43680 1
 
2.9%
14887 1
 
2.9%
5479 1
 
2.9%
25670 1
 
2.9%
9289 1
 
2.9%
Other values (20) 20
58.8%
ValueCountFrequency (%)
0 5
14.7%
46 1
 
2.9%
76 1
 
2.9%
197 1
 
2.9%
353 1
 
2.9%
619 1
 
2.9%
703 1
 
2.9%
859 1
 
2.9%
1220 1
 
2.9%
1373 1
 
2.9%
ValueCountFrequency (%)
798404 1
2.9%
358229 1
2.9%
302032 1
2.9%
153363 1
2.9%
133178 1
2.9%
119017 1
2.9%
53192 1
2.9%
43680 1
2.9%
25670 1
2.9%
24518 1
2.9%

경기
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2143245.2
Minimum34
Maximum22017418
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T09:22:25.261457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34
5-th percentile312.1
Q116528.75
median395187
Q31704298
95-th percentile10421793
Maximum22017418
Range22017384
Interquartile range (IQR)1687769.2

Descriptive statistics

Standard deviation4441415.5
Coefficient of variation (CV)2.0722852
Kurtosis12.266757
Mean2143245.2
Median Absolute Deviation (MAD)393159.5
Skewness3.2875946
Sum72870338
Variance1.9726171 × 1013
MonotonicityNot monotonic
2023-12-12T09:22:25.420820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
4478174 1
 
2.9%
765025 1
 
2.9%
408365 1
 
2.9%
109718 1
 
2.9%
19255 1
 
2.9%
277 1
 
2.9%
456444 1
 
2.9%
1788343 1
 
2.9%
1035381 1
 
2.9%
331 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
34 1
2.9%
277 1
2.9%
331 1
2.9%
1470 1
2.9%
2585 1
2.9%
3275 1
2.9%
8381 1
2.9%
12861 1
2.9%
15620 1
2.9%
19255 1
2.9%
ValueCountFrequency (%)
22017418 1
2.9%
10812219 1
2.9%
10211563 1
2.9%
5976048 1
2.9%
5016028 1
2.9%
4478174 1
2.9%
2359247 1
2.9%
1881937 1
2.9%
1788343 1
2.9%
1452163 1
2.9%

강원
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean285708.94
Minimum0
Maximum2610554
Zeros2
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T09:22:25.544660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20.8
Q15533.25
median35386.5
Q3244855
95-th percentile1303830.1
Maximum2610554
Range2610554
Interquartile range (IQR)239321.75

Descriptive statistics

Standard deviation560811.26
Coefficient of variation (CV)1.9628761
Kurtosis8.7310718
Mean285708.94
Median Absolute Deviation (MAD)35201.5
Skewness2.8107276
Sum9714104
Variance3.1450927 × 1011
MonotonicityNot monotonic
2023-12-12T09:22:25.729898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
32 2
 
5.9%
0 2
 
5.9%
736138 1
 
2.9%
7952 1
 
2.9%
2494 1
 
2.9%
338 1
 
2.9%
803 1
 
2.9%
204205 1
 
2.9%
40141 1
 
2.9%
31523 1
 
2.9%
Other values (22) 22
64.7%
ValueCountFrequency (%)
0 2
5.9%
32 2
5.9%
338 1
2.9%
803 1
2.9%
2494 1
2.9%
2946 1
2.9%
5115 1
2.9%
6788 1
2.9%
7952 1
2.9%
12384 1
2.9%
ValueCountFrequency (%)
2610554 1
2.9%
1512718 1
2.9%
1191352 1
2.9%
1053803 1
2.9%
785720 1
2.9%
736138 1
2.9%
321533 1
2.9%
263386 1
2.9%
258405 1
2.9%
204205 1
2.9%

충북
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean313362.24
Minimum0
Maximum3022413
Zeros2
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T09:22:25.905002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile165.75
Q16566.5
median56209
Q3274885.75
95-th percentile1386503.6
Maximum3022413
Range3022413
Interquartile range (IQR)268319.25

Descriptive statistics

Standard deviation624435.61
Coefficient of variation (CV)1.9926958
Kurtosis10.657549
Mean313362.24
Median Absolute Deviation (MAD)55584.5
Skewness3.0669869
Sum10654316
Variance3.8991983 × 1011
MonotonicityNot monotonic
2023-12-12T09:22:26.050525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 2
 
5.9%
62848 1
 
2.9%
282028 1
 
2.9%
93763 1
 
2.9%
21013 1
 
2.9%
6838 1
 
2.9%
49570 1
 
2.9%
253459 1
 
2.9%
659309 1
 
2.9%
113138 1
 
2.9%
Other values (23) 23
67.6%
ValueCountFrequency (%)
0 2
5.9%
255 1
2.9%
539 1
2.9%
710 1
2.9%
1018 1
2.9%
2043 1
2.9%
2904 1
2.9%
6476 1
2.9%
6838 1
2.9%
7349 1
2.9%
ValueCountFrequency (%)
3022413 1
2.9%
1614716 1
2.9%
1263620 1
2.9%
1194979 1
2.9%
716481 1
2.9%
659309 1
2.9%
359720 1
2.9%
334771 1
2.9%
282028 1
2.9%
253459 1
2.9%

충남
Real number (ℝ)

UNIQUE  ZEROS 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean420827.38
Minimum0
Maximum4084183
Zeros1
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T09:22:26.231220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile41.95
Q17132.75
median78029
Q3347180.5
95-th percentile1950461.6
Maximum4084183
Range4084183
Interquartile range (IQR)340047.75

Descriptive statistics

Standard deviation852203.2
Coefficient of variation (CV)2.025066
Kurtosis10.2382
Mean420827.38
Median Absolute Deviation (MAD)77279.5
Skewness3.0230122
Sum14308131
Variance7.262503 × 1011
MonotonicityNot monotonic
2023-12-12T09:22:26.425980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
862085 1
 
2.9%
82655 1
 
2.9%
91061 1
 
2.9%
32085 1
 
2.9%
4930 1
 
2.9%
57 1
 
2.9%
73403 1
 
2.9%
382416 1
 
2.9%
87713 1
 
2.9%
0 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
0 1
2.9%
14 1
2.9%
57 1
2.9%
370 1
2.9%
726 1
2.9%
773 1
2.9%
2355 1
2.9%
4930 1
2.9%
7024 1
2.9%
7459 1
2.9%
ValueCountFrequency (%)
4084183 1
2.9%
2159137 1
2.9%
1838098 1
2.9%
1665566 1
2.9%
981632 1
2.9%
862085 1
2.9%
483987 1
2.9%
434666 1
2.9%
382416 1
2.9%
241474 1
2.9%

전북
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean348397.97
Minimum25
Maximum3357943
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T09:22:26.658658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile70.5
Q17672.25
median47317
Q3289710.75
95-th percentile1660070.1
Maximum3357943
Range3357918
Interquartile range (IQR)282038.5

Descriptive statistics

Standard deviation706995.87
Coefficient of variation (CV)2.0292767
Kurtosis9.9307878
Mean348397.97
Median Absolute Deviation (MAD)47163.5
Skewness3.004998
Sum11845531
Variance4.9984317 × 1011
MonotonicityNot monotonic
2023-12-12T09:22:26.814116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
537591 1
 
2.9%
37663 1
 
2.9%
112203 1
 
2.9%
52020 1
 
2.9%
10130 1
 
2.9%
74 1
 
2.9%
42614 1
 
2.9%
230163 1
 
2.9%
65277 1
 
2.9%
25 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
25 1
2.9%
64 1
2.9%
74 1
2.9%
233 1
2.9%
698 1
2.9%
834 1
2.9%
1424 1
2.9%
3126 1
2.9%
6853 1
2.9%
10130 1
2.9%
ValueCountFrequency (%)
3357943 1
2.9%
1852734 1
2.9%
1556328 1
2.9%
1420829 1
2.9%
767271 1
2.9%
537591 1
2.9%
430804 1
2.9%
369563 1
2.9%
309560 1
2.9%
230163 1
2.9%

전남
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean410982.24
Minimum17
Maximum3182931
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T09:22:26.983189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile224.35
Q19157
median84688
Q3505017.5
95-th percentile1830603.9
Maximum3182931
Range3182914
Interquartile range (IQR)495860.5

Descriptive statistics

Standard deviation709757.54
Coefficient of variation (CV)1.7269786
Kurtosis6.7739388
Mean410982.24
Median Absolute Deviation (MAD)84345.5
Skewness2.5254029
Sum13973396
Variance5.0375577 × 1011
MonotonicityNot monotonic
2023-12-12T09:22:27.146066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
567573 1
 
2.9%
31474 1
 
2.9%
532993 1
 
2.9%
495317 1
 
2.9%
49793 1
 
2.9%
6667 1
 
2.9%
93526 1
 
2.9%
330900 1
 
2.9%
44156 1
 
2.9%
17 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
17 1
2.9%
43 1
2.9%
322 1
2.9%
363 1
2.9%
603 1
2.9%
971 1
2.9%
4125 1
2.9%
6667 1
2.9%
8521 1
2.9%
11065 1
2.9%
ValueCountFrequency (%)
3182931 1
2.9%
1864790 1
2.9%
1812196 1
2.9%
1661383 1
2.9%
777533 1
2.9%
767817 1
2.9%
567573 1
2.9%
532993 1
2.9%
508251 1
2.9%
495317 1
2.9%

경북
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean518469.12
Minimum0
Maximum4929860
Zeros2
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T09:22:27.315869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile236.6
Q15481.25
median54976
Q3331839.75
95-th percentile2491642.5
Maximum4929860
Range4929860
Interquartile range (IQR)326358.5

Descriptive statistics

Standard deviation1052549.5
Coefficient of variation (CV)2.0301104
Kurtosis9.1587176
Mean518469.12
Median Absolute Deviation (MAD)54547.5
Skewness2.8912697
Sum17627950
Variance1.1078605 × 1012
MonotonicityNot monotonic
2023-12-12T09:22:27.443459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 2
 
5.9%
60374 1
 
2.9%
246647 1
 
2.9%
76233 1
 
2.9%
12258 1
 
2.9%
5246 1
 
2.9%
49578 1
 
2.9%
297667 1
 
2.9%
1160134 1
 
2.9%
210523 1
 
2.9%
Other values (23) 23
67.6%
ValueCountFrequency (%)
0 2
5.9%
364 1
2.9%
493 1
2.9%
494 1
2.9%
816 1
2.9%
3631 1
2.9%
5060 1
2.9%
5246 1
2.9%
6187 1
2.9%
12258 1
2.9%
ValueCountFrequency (%)
4929860 1
2.9%
2536488 1
2.9%
2467495 1
2.9%
2253307 1
2.9%
1205438 1
2.9%
1160134 1
2.9%
532473 1
2.9%
505148 1
2.9%
333560 1
2.9%
326679 1
2.9%

경남
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean637204.26
Minimum193
Maximum6320769
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T09:22:27.579618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum193
5-th percentile677.5
Q115155.5
median94625.5
Q3517041.75
95-th percentile3046056.8
Maximum6320769
Range6320576
Interquartile range (IQR)501886.25

Descriptive statistics

Standard deviation1295679
Coefficient of variation (CV)2.0333809
Kurtosis11.18849
Mean637204.26
Median Absolute Deviation (MAD)93795
Skewness3.1474027
Sum21664945
Variance1.6787841 × 1012
MonotonicityNot monotonic
2023-12-12T09:22:27.706679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1595779 1
 
2.9%
65535 1
 
2.9%
258940 1
 
2.9%
148204 1
 
2.9%
53548 1
 
2.9%
632 1
 
2.9%
67207 1
 
2.9%
446421 1
 
2.9%
122044 1
 
2.9%
193 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
193 1
2.9%
632 1
2.9%
702 1
2.9%
959 1
2.9%
1166 1
2.9%
1204 1
2.9%
3101 1
2.9%
3236 1
2.9%
10557 1
2.9%
28951 1
2.9%
ValueCountFrequency (%)
6320769 1
2.9%
3137855 1
2.9%
2996627 1
2.9%
2173294 1
2.9%
1595779 1
2.9%
1240717 1
2.9%
586194 1
2.9%
559999 1
2.9%
540582 1
2.9%
446421 1
2.9%

제주
Real number (ℝ)

UNIQUE  ZEROS 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean244546.53
Minimum0
Maximum1753792
Zeros1
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T09:22:27.839363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile48.5
Q13368.25
median69276
Q3249856.5
95-th percentile1091154.4
Maximum1753792
Range1753792
Interquartile range (IQR)246488.25

Descriptive statistics

Standard deviation408130.24
Coefficient of variation (CV)1.6689267
Kurtosis5.3502332
Mean244546.53
Median Absolute Deviation (MAD)68858.5
Skewness2.2997603
Sum8314582
Variance1.6657029 × 1011
MonotonicityNot monotonic
2023-12-12T09:22:27.991914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
346575 1
 
2.9%
68310 1
 
2.9%
1033900 1
 
2.9%
788999 1
 
2.9%
188577 1
 
2.9%
303 1
 
2.9%
147681 1
 
2.9%
131526 1
 
2.9%
13395 1
 
2.9%
1430 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
0 1
2.9%
16 1
2.9%
66 1
2.9%
277 1
2.9%
303 1
2.9%
532 1
2.9%
1430 1
2.9%
2134 1
2.9%
3365 1
2.9%
3378 1
2.9%
ValueCountFrequency (%)
1753792 1
2.9%
1197484 1
2.9%
1033900 1
2.9%
788999 1
2.9%
703462 1
2.9%
552437 1
2.9%
425711 1
2.9%
346575 1
2.9%
270283 1
2.9%
188577 1
2.9%

Sample

용도별차종별유형별규모별전국서울부산대구인천광주대전울산세종경기강원충북충남전북전남경북경남제주
0비사업용승용차일반형경형1661290514556978848757472951120056349476493739465047153363447817473613865930986208553759156757311601341595779346575
1비사업용승용차일반형소형29694693541911402441424631630147672099157810732237774213011772911313814879511677612652321052324571068907
2비사업용승용차일반형중형82949477102966734934815433912047878392541634261357019138677984042201741826105543022413408418333579433182931492986063207691197484
3비사업용승용차일반형대형410668396543696250969024639492198749140742211314341035237302032102115631053803126362018380981556328166138324674952996627425711
4비사업용승용차다목적형중형411905264326141220986420400552480016127544412037551102903358229108122191512718161471621591371852734186479025364883137855703462
5비사업용승용차다목적형대형1884887725326789123149455611055505524064488195496280133178501602878572071648198163276727177753312054381240717270283
6비사업용승합차일반형소형71983113318369766318183678514034155871278823011569312284417568205482099928173476216233826547
7비사업용승합차일반형중형84189021099519428898304103527790205510229514144271531922359247321533334771483987369563395934505148540582115338
8비사업용승합차일반형대형33972955101215271516320095781289859352325070664123841258219286114751106525501321103378
9비사업용화물차일반형소형26024276202782313517071178396139919064512759845046455711901759760481191352119497916655661420829181219622533072173294552437
용도별차종별유형별규모별전국서울부산대구인천광주대전울산세종경기강원충북충남전북전남경북경남제주
24사업용승합차일반형중형172606222915710958943313228646357602062830407928945644439250495707340342614935264957867207147681
25사업용승합차일반형대형6348952797328460162228468271273127642149009165118256701788343263386253459382416230163330900297667446421131526
26사업용화물차일반형소형23083146318171133908271713640255001550272307454797650253152362848826553766331474603746553568310
27사업용화물차일반형중형263577036090222501013997713245462388719252581114887103538140141951338771365277441569917712204413395
28사업용화물차일반형대형840190164568184773148118037640935698434173730779743680188193720420535972043466643080450825153247355999988645
29사업용화물차덤프형소형232322137900164860343225514644349470216
30사업용화물차덤프형중형124563207841438357663294840147080371072669832281695966
31사업용화물차덤프형대형1603836021690233100712549626546327533810187738343634931204277
32사업용화물차밴형소형4130462734445587126171383737833099190119782029249420432355142497136313101532
33사업용화물차밴형중형1702148183276757535291707742025853253937023360336411660