Overview

Dataset statistics

Number of variables24
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 MiB
Average record size in memory219.0 B

Variable types

Categorical6
Numeric17
Text1

Dataset

Description상시교통량(일반국도 차종별)
Author경기도교통정보센터
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=BWSZIM842EHEUB03ZFTF32707078&infSeq=1

Alerts

년도 has constant value ""Constant
7종 has 311 (3.1%) zerosZeros
8종 has 765 (7.6%) zerosZeros
9종 has 6676 (66.8%) zerosZeros
10종 has 525 (5.2%) zerosZeros
11종 has 6733 (67.3%) zerosZeros
12종 has 1118 (11.2%) zerosZeros

Reproduction

Analysis started2023-12-10 21:01:39.932452
Analysis finished2023-12-10 21:01:40.373089
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2022
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 10000
100.0%

Length

2023-12-11T06:01:40.426045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:01:40.500064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 10000
100.0%

월
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.3783
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:01:40.592079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.4351665
Coefficient of variation (CV)0.53857086
Kurtosis-1.1887818
Mean6.3783
Median Absolute Deviation (MAD)3
Skewness0.041872924
Sum63783
Variance11.800369
MonotonicityNot monotonic
2023-12-11T06:01:40.697950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 905
9.0%
3 891
8.9%
7 891
8.9%
6 885
8.8%
5 838
8.4%
4 826
8.3%
8 817
8.2%
2 802
8.0%
9 791
7.9%
12 789
7.9%
Other values (2) 1565
15.7%
ValueCountFrequency (%)
1 905
9.0%
2 802
8.0%
3 891
8.9%
4 826
8.3%
5 838
8.4%
6 885
8.8%
7 891
8.9%
8 817
8.2%
9 791
7.9%
10 778
7.8%
ValueCountFrequency (%)
12 789
7.9%
11 787
7.9%
10 778
7.8%
9 791
7.9%
8 817
8.2%
7 891
8.9%
6 885
8.8%
5 838
8.4%
4 826
8.3%
3 891
8.9%

일
Real number (ℝ)

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.5013
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:01:40.794651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median15
Q323
95-th percentile29
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.8048027
Coefficient of variation (CV)0.56800415
Kurtosis-1.1893495
Mean15.5013
Median Absolute Deviation (MAD)8
Skewness0.041544388
Sum155013
Variance77.524551
MonotonicityNot monotonic
2023-12-11T06:01:40.905456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
10 362
 
3.6%
20 357
 
3.6%
5 354
 
3.5%
1 350
 
3.5%
3 350
 
3.5%
12 345
 
3.5%
6 341
 
3.4%
9 336
 
3.4%
8 333
 
3.3%
2 331
 
3.3%
Other values (21) 6541
65.4%
ValueCountFrequency (%)
1 350
3.5%
2 331
3.3%
3 350
3.5%
4 323
3.2%
5 354
3.5%
6 341
3.4%
7 320
3.2%
8 333
3.3%
9 336
3.4%
10 362
3.6%
ValueCountFrequency (%)
31 206
2.1%
30 279
2.8%
29 287
2.9%
28 320
3.2%
27 307
3.1%
26 326
3.3%
25 321
3.2%
24 306
3.1%
23 319
3.2%
22 330
3.3%

호선명
Categorical

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반국도 43호선
1471 
일반국도 37호선
1303 
일반국도 3호선
1056 
일반국도 45호선
988 
일반국도 38호선
776 
Other values (11)
4406 

Length

Max length9
Median length9
Mean length8.7773
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반국도 47호선
2nd row일반국도 6호선
3rd row일반국도 48호선
4th row일반국도 43호선
5th row일반국도 1호선

Common Values

ValueCountFrequency (%)
일반국도 43호선 1471
14.7%
일반국도 37호선 1303
13.0%
일반국도 3호선 1056
10.6%
일반국도 45호선 988
9.9%
일반국도 38호선 776
7.8%
일반국도 39호선 634
6.3%
일반국도 1호선 618
6.2%
일반국도 47호선 585
 
5.9%
일반국도 42호선 572
 
5.7%
일반국도 6호선 553
 
5.5%
Other values (6) 1444
14.4%

Length

2023-12-11T06:01:41.253055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반국도 10000
50.0%
43호선 1471
 
7.4%
37호선 1303
 
6.5%
3호선 1056
 
5.3%
45호선 988
 
4.9%
38호선 776
 
3.9%
39호선 634
 
3.2%
1호선 618
 
3.1%
47호선 585
 
2.9%
42호선 572
 
2.9%
Other values (7) 1997
 
10.0%

호선코드
Real number (ℝ)

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.9957
Minimum1
Maximum82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:01:41.355510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q137
median39
Q345
95-th percentile77
Maximum82
Range81
Interquartile range (IQR)8

Descriptive statistics

Standard deviation19.803007
Coefficient of variation (CV)0.56586973
Kurtosis0.14696357
Mean34.9957
Median Absolute Deviation (MAD)6
Skewness-0.20070088
Sum349957
Variance392.1591
MonotonicityNot monotonic
2023-12-11T06:01:41.490415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
43 1471
14.7%
37 1303
13.0%
3 1056
10.6%
45 988
9.9%
38 776
7.8%
39 634
6.3%
1 618
6.2%
47 585
 
5.9%
42 572
 
5.7%
6 553
 
5.5%
Other values (6) 1444
14.4%
ValueCountFrequency (%)
1 618
6.2%
3 1056
10.6%
6 553
 
5.5%
17 184
 
1.8%
37 1303
13.0%
38 776
7.8%
39 634
6.3%
42 572
 
5.7%
43 1471
14.7%
44 125
 
1.2%
ValueCountFrequency (%)
82 381
 
3.8%
77 190
 
1.9%
48 376
 
3.8%
47 585
 
5.9%
46 188
 
1.9%
45 988
9.9%
44 125
 
1.2%
43 1471
14.7%
42 572
 
5.7%
39 634
6.3%

지점번호
Text

Distinct54
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T06:01:41.721457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters70000
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4707-00
2nd row0605-00
3rd row4802-03
4th row4307-00
5th row0134-00
ValueCountFrequency (%)
0134-00 222
 
2.2%
4504-00 219
 
2.2%
4508-00 216
 
2.2%
4307-00 215
 
2.1%
4708-00 213
 
2.1%
3804-02 212
 
2.1%
0335-01 209
 
2.1%
4304-02 206
 
2.1%
0328-02 205
 
2.1%
0142-00 203
 
2.0%
Other values (44) 7880
78.8%
2023-12-11T06:01:42.055505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 22204
31.7%
- 10000
14.3%
3 7269
 
10.4%
4 6834
 
9.8%
2 6258
 
8.9%
1 5965
 
8.5%
7 3229
 
4.6%
8 3092
 
4.4%
6 1956
 
2.8%
5 1785
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 60000
85.7%
Dash Punctuation 10000
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 22204
37.0%
3 7269
 
12.1%
4 6834
 
11.4%
2 6258
 
10.4%
1 5965
 
9.9%
7 3229
 
5.4%
8 3092
 
5.2%
6 1956
 
3.3%
5 1785
 
3.0%
9 1408
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 70000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 22204
31.7%
- 10000
14.3%
3 7269
 
10.4%
4 6834
 
9.8%
2 6258
 
8.9%
1 5965
 
8.5%
7 3229
 
4.6%
8 3092
 
4.4%
6 1956
 
2.8%
5 1785
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 22204
31.7%
- 10000
14.3%
3 7269
 
10.4%
4 6834
 
9.8%
2 6258
 
8.9%
1 5965
 
8.5%
7 3229
 
4.6%
8 3092
 
4.4%
6 1956
 
2.8%
5 1785
 
2.5%

상/하행
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
상행
5027 
하행
4973 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row하행
2nd row상행
3rd row상행
4th row하행
5th row하행

Common Values

ValueCountFrequency (%)
상행 5027
50.3%
하행 4973
49.7%

Length

2023-12-11T06:01:42.176186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:01:42.279542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상행 5027
50.3%
하행 4973
49.7%

상/하행 코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
5027 
2
4973 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row1
4th row2
5th row2

Common Values

ValueCountFrequency (%)
1 5027
50.3%
2 4973
49.7%

Length

2023-12-11T06:01:42.383138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:01:42.496028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5027
50.3%
2 4973
49.7%

지역
Categorical

Distinct48
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기 파주 문산읍
 
404
경기 화성 봉담읍
 
387
경기 가평 청평면
 
376
경기 평택 포승면
 
376
경기 화성 향남면
 
366
Other values (43)
8091 

Length

Max length12
Median length9
Mean length9.2672
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기 남양주 진접읍
2nd row경기 남양주 와부읍
3rd row경기 김포 월곶면
4th row경기 남양주 별내면
5th row경기 평택 진위면

Common Values

ValueCountFrequency (%)
경기 파주 문산읍 404
 
4.0%
경기 화성 봉담읍 387
 
3.9%
경기 가평 청평면 376
 
3.8%
경기 평택 포승면 376
 
3.8%
경기 화성 향남면 366
 
3.7%
경기 포천 영중면 327
 
3.3%
경기 평택 진위면 222
 
2.2%
경기 평택 팽성읍 219
 
2.2%
경기 용인 처인 모현면 216
 
2.2%
경기 남양주 별내면 215
 
2.1%
Other values (38) 6892
68.9%

Length

2023-12-11T06:01:42.605396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기 10000
32.5%
평택 1272
 
4.1%
화성 1133
 
3.7%
광주 1117
 
3.6%
포천 925
 
3.0%
여주 787
 
2.6%
가평 770
 
2.5%
처인 765
 
2.5%
용인 765
 
2.5%
파주 597
 
1.9%
Other values (55) 12634
41.1%

지역코드
Real number (ℝ)

Distinct48
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3123236.8
Minimum3107011
Maximum3138040
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:01:42.733917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3107011
5-th percentile3107033
Q13119134
median3124041
Q33127039
95-th percentile3138033
Maximum3138040
Range31029
Interquartile range (IQR)7905

Descriptive statistics

Standard deviation8811.8992
Coefficient of variation (CV)0.0028213996
Kurtosis-0.41775154
Mean3123236.8
Median Absolute Deviation (MAD)4026
Skewness-0.25269958
Sum3.1232368 × 1010
Variance77649568
MonotonicityNot monotonic
2023-12-11T06:01:42.891426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
3120011 404
 
4.0%
3124012 387
 
3.9%
3107036 376
 
3.8%
3137032 376
 
3.8%
3124041 366
 
3.7%
3127036 327
 
3.3%
3107031 222
 
2.2%
3107011 219
 
2.2%
3119131 216
 
2.2%
3113031 215
 
2.1%
Other values (38) 6892
68.9%
ValueCountFrequency (%)
3107011 219
2.2%
3107031 222
2.2%
3107033 184
1.8%
3107034 185
1.8%
3107036 376
3.8%
3107037 86
 
0.9%
3113011 174
1.7%
3113012 183
1.8%
3113031 215
2.1%
3115056 183
1.8%
ValueCountFrequency (%)
3138040 185
1.8%
3138037 125
 
1.2%
3138033 194
1.9%
3137033 195
1.9%
3137032 376
3.8%
3137031 199
2.0%
3135032 209
2.1%
3135012 198
2.0%
3128052 181
1.8%
3128036 200
2.0%

주변분기점
Categorical

Distinct34
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
시군도분기
1044 
일반국도43분기
 
583
일반국도45분기
 
574
지방도325분기
 
574
국지도98분기
 
573
Other values (29)
6652 

Length

Max length8
Median length8
Mean length7.3236
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국지도86분기
2nd row일반국도45분기
3rd row국지도56분기
4th row일반국도47분기
5th row지방도314분기

Common Values

ValueCountFrequency (%)
시군도분기 1044
 
10.4%
일반국도43분기 583
 
5.8%
일반국도45분기 574
 
5.7%
지방도325분기 574
 
5.7%
국지도98분기 573
 
5.7%
지방도387분기 408
 
4.1%
지방도372분기 405
 
4.0%
일반국도38분기 404
 
4.0%
국지도78분기 399
 
4.0%
일반국도37분기 391
 
3.9%
Other values (24) 4645
46.5%

Length

2023-12-11T06:01:43.036371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
시군도분기 1044
 
10.4%
일반국도43분기 583
 
5.8%
일반국도45분기 574
 
5.7%
지방도325분기 574
 
5.7%
국지도98분기 573
 
5.7%
지방도387분기 408
 
4.1%
지방도372분기 405
 
4.0%
일반국도38분기 404
 
4.0%
국지도78분기 399
 
4.0%
일반국도37분기 391
 
3.9%
Other values (24) 4645
46.5%

1종
Real number (ℝ)

Distinct8093
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12780.769
Minimum731
Maximum56859
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:01:43.176511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum731
5-th percentile2847.8
Q17156.75
median10758
Q316512.25
95-th percentile28802.05
Maximum56859
Range56128
Interquartile range (IQR)9355.5

Descriptive statistics

Standard deviation8406.6388
Coefficient of variation (CV)0.6577569
Kurtosis3.2294228
Mean12780.769
Median Absolute Deviation (MAD)4248
Skewness1.5275582
Sum1.2780769 × 108
Variance70671575
MonotonicityNot monotonic
2023-12-11T06:01:43.337801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8583 6
 
0.1%
7135 5
 
0.1%
8941 5
 
0.1%
8294 5
 
0.1%
8388 5
 
0.1%
7809 5
 
0.1%
7793 5
 
0.1%
6536 5
 
0.1%
7297 4
 
< 0.1%
11598 4
 
< 0.1%
Other values (8083) 9951
99.5%
ValueCountFrequency (%)
731 1
< 0.1%
734 1
< 0.1%
810 1
< 0.1%
993 1
< 0.1%
997 1
< 0.1%
1020 1
< 0.1%
1021 1
< 0.1%
1036 1
< 0.1%
1038 1
< 0.1%
1047 1
< 0.1%
ValueCountFrequency (%)
56859 1
< 0.1%
56309 1
< 0.1%
56064 1
< 0.1%
55903 1
< 0.1%
55359 1
< 0.1%
55284 1
< 0.1%
54938 1
< 0.1%
54769 1
< 0.1%
54710 1
< 0.1%
54561 1
< 0.1%

2종
Real number (ℝ)

Distinct933
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean260.5638
Minimum6
Maximum1812
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:01:43.507440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile36
Q1105
median215
Q3344.25
95-th percentile648.05
Maximum1812
Range1806
Interquartile range (IQR)239.25

Descriptive statistics

Standard deviation219.299
Coefficient of variation (CV)0.84163264
Kurtosis9.5586027
Mean260.5638
Median Absolute Deviation (MAD)117
Skewness2.3438153
Sum2605638
Variance48092.051
MonotonicityNot monotonic
2023-12-11T06:01:43.664491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86 46
 
0.5%
48 42
 
0.4%
45 42
 
0.4%
84 41
 
0.4%
69 39
 
0.4%
108 37
 
0.4%
103 37
 
0.4%
92 37
 
0.4%
36 37
 
0.4%
30 36
 
0.4%
Other values (923) 9606
96.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
8 1
 
< 0.1%
9 2
 
< 0.1%
10 1
 
< 0.1%
11 3
 
< 0.1%
12 4
< 0.1%
13 2
 
< 0.1%
14 4
< 0.1%
15 5
0.1%
16 8
0.1%
ValueCountFrequency (%)
1812 1
< 0.1%
1794 1
< 0.1%
1785 1
< 0.1%
1772 1
< 0.1%
1760 1
< 0.1%
1752 1
< 0.1%
1748 1
< 0.1%
1747 1
< 0.1%
1735 1
< 0.1%
1731 1
< 0.1%

3종
Real number (ℝ)

Distinct3938
Distinct (%)39.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1986.2641
Minimum114
Maximum10838
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:01:43.814276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum114
5-th percentile395
Q1963
median1664
Q32627
95-th percentile4643
Maximum10838
Range10724
Interquartile range (IQR)1664

Descriptive statistics

Standard deviation1415.6642
Coefficient of variation (CV)0.71272705
Kurtosis4.0439595
Mean1986.2641
Median Absolute Deviation (MAD)781
Skewness1.6234767
Sum19862641
Variance2004105
MonotonicityNot monotonic
2023-12-11T06:01:43.975581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
582 10
 
0.1%
913 10
 
0.1%
953 10
 
0.1%
904 9
 
0.1%
1002 9
 
0.1%
975 9
 
0.1%
993 9
 
0.1%
1104 9
 
0.1%
595 9
 
0.1%
1052 9
 
0.1%
Other values (3928) 9907
99.1%
ValueCountFrequency (%)
114 1
< 0.1%
120 1
< 0.1%
149 1
< 0.1%
151 1
< 0.1%
159 1
< 0.1%
160 1
< 0.1%
161 1
< 0.1%
163 2
< 0.1%
164 1
< 0.1%
166 1
< 0.1%
ValueCountFrequency (%)
10838 1
< 0.1%
10770 1
< 0.1%
10700 1
< 0.1%
10656 1
< 0.1%
10595 1
< 0.1%
10276 1
< 0.1%
10263 1
< 0.1%
10224 1
< 0.1%
10151 1
< 0.1%
10101 1
< 0.1%

4종
Real number (ℝ)

Distinct2352
Distinct (%)23.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean782.967
Minimum10
Maximum6096
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:01:44.164326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile79
Q1259
median549.5
Q31139
95-th percentile2095.05
Maximum6096
Range6086
Interquartile range (IQR)880

Descriptive statistics

Standard deviation705.20691
Coefficient of variation (CV)0.90068535
Kurtosis3.4834481
Mean782.967
Median Absolute Deviation (MAD)373.5
Skewness1.6462498
Sum7829670
Variance497316.78
MonotonicityNot monotonic
2023-12-11T06:01:44.312432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
130 22
 
0.2%
150 22
 
0.2%
146 21
 
0.2%
160 20
 
0.2%
102 20
 
0.2%
103 20
 
0.2%
127 19
 
0.2%
94 18
 
0.2%
388 18
 
0.2%
215 18
 
0.2%
Other values (2342) 9802
98.0%
ValueCountFrequency (%)
10 1
 
< 0.1%
16 5
0.1%
18 3
 
< 0.1%
19 4
< 0.1%
20 2
 
< 0.1%
22 1
 
< 0.1%
23 8
0.1%
24 1
 
< 0.1%
25 4
< 0.1%
26 7
0.1%
ValueCountFrequency (%)
6096 1
< 0.1%
4745 1
< 0.1%
4717 1
< 0.1%
4554 1
< 0.1%
4523 1
< 0.1%
4341 1
< 0.1%
4302 1
< 0.1%
4293 1
< 0.1%
4228 1
< 0.1%
4224 1
< 0.1%

5종
Real number (ℝ)

Distinct1408
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean349.5474
Minimum1
Maximum4374
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:01:44.451754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile21
Q194
median230
Q3452
95-th percentile1123.1
Maximum4374
Range4373
Interquartile range (IQR)358

Descriptive statistics

Standard deviation375.04824
Coefficient of variation (CV)1.0729539
Kurtosis7.6643797
Mean349.5474
Median Absolute Deviation (MAD)157
Skewness2.2898319
Sum3495474
Variance140661.18
MonotonicityNot monotonic
2023-12-11T06:01:44.611210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 44
 
0.4%
18 42
 
0.4%
16 41
 
0.4%
46 40
 
0.4%
34 37
 
0.4%
24 37
 
0.4%
23 36
 
0.4%
67 35
 
0.4%
81 35
 
0.4%
32 34
 
0.3%
Other values (1398) 9619
96.2%
ValueCountFrequency (%)
1 1
 
< 0.1%
2 10
 
0.1%
3 11
 
0.1%
4 16
0.2%
5 18
0.2%
6 18
0.2%
7 19
0.2%
8 28
0.3%
9 22
0.2%
10 25
0.2%
ValueCountFrequency (%)
4374 1
< 0.1%
2874 1
< 0.1%
2807 1
< 0.1%
2790 1
< 0.1%
2785 1
< 0.1%
2753 1
< 0.1%
2727 1
< 0.1%
2723 1
< 0.1%
2691 1
< 0.1%
2676 1
< 0.1%

6종
Real number (ℝ)

Distinct1047
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean244.4125
Minimum0
Maximum2585
Zeros35
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:01:44.777450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q175
median178
Q3336
95-th percentile712.05
Maximum2585
Range2585
Interquartile range (IQR)261

Descriptive statistics

Standard deviation244.45805
Coefficient of variation (CV)1.0001864
Kurtosis6.3029949
Mean244.4125
Median Absolute Deviation (MAD)122
Skewness2.0814378
Sum2444125
Variance59759.738
MonotonicityNot monotonic
2023-12-11T06:01:44.931522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 65
 
0.7%
11 64
 
0.6%
7 64
 
0.6%
6 62
 
0.6%
14 57
 
0.6%
12 54
 
0.5%
9 53
 
0.5%
8 53
 
0.5%
17 50
 
0.5%
19 49
 
0.5%
Other values (1037) 9429
94.3%
ValueCountFrequency (%)
0 35
0.4%
1 37
0.4%
2 38
0.4%
3 38
0.4%
4 47
0.5%
5 48
0.5%
6 62
0.6%
7 64
0.6%
8 53
0.5%
9 53
0.5%
ValueCountFrequency (%)
2585 1
< 0.1%
2284 1
< 0.1%
2114 1
< 0.1%
1862 1
< 0.1%
1742 1
< 0.1%
1722 1
< 0.1%
1655 1
< 0.1%
1653 1
< 0.1%
1601 1
< 0.1%
1586 1
< 0.1%

7종
Real number (ℝ)

ZEROS 

Distinct410
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.3025
Minimum0
Maximum944
Zeros311
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:01:45.070641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19
median25
Q360
95-th percentile168
Maximum944
Range944
Interquartile range (IQR)51

Descriptive statistics

Standard deviation75.157289
Coefficient of variation (CV)1.555971
Kurtosis26.898196
Mean48.3025
Median Absolute Deviation (MAD)20
Skewness4.4129846
Sum483025
Variance5648.6181
MonotonicityNot monotonic
2023-12-11T06:01:45.207463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 398
 
4.0%
3 325
 
3.2%
1 313
 
3.1%
0 311
 
3.1%
4 265
 
2.6%
5 238
 
2.4%
6 217
 
2.2%
8 212
 
2.1%
10 190
 
1.9%
11 189
 
1.9%
Other values (400) 7342
73.4%
ValueCountFrequency (%)
0 311
3.1%
1 313
3.1%
2 398
4.0%
3 325
3.2%
4 265
2.6%
5 238
2.4%
6 217
2.2%
7 181
1.8%
8 212
2.1%
9 186
1.9%
ValueCountFrequency (%)
944 1
< 0.1%
893 1
< 0.1%
762 1
< 0.1%
741 1
< 0.1%
727 1
< 0.1%
725 1
< 0.1%
715 1
< 0.1%
699 1
< 0.1%
689 1
< 0.1%
671 1
< 0.1%

8종
Real number (ℝ)

ZEROS 

Distinct296
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.312
Minimum0
Maximum2072
Zeros765
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:01:45.349361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median8
Q323
95-th percentile106
Maximum2072
Range2072
Interquartile range (IQR)20

Descriptive statistics

Standard deviation49.619862
Coefficient of variation (CV)2.0409617
Kurtosis306.08502
Mean24.312
Median Absolute Deviation (MAD)6
Skewness10.2062
Sum243120
Variance2462.1307
MonotonicityNot monotonic
2023-12-11T06:01:45.476924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 780
 
7.8%
0 765
 
7.6%
1 632
 
6.3%
3 631
 
6.3%
4 607
 
6.1%
5 494
 
4.9%
6 455
 
4.5%
7 370
 
3.7%
8 368
 
3.7%
10 298
 
3.0%
Other values (286) 4600
46.0%
ValueCountFrequency (%)
0 765
7.6%
1 632
6.3%
2 780
7.8%
3 631
6.3%
4 607
6.1%
5 494
4.9%
6 455
4.5%
7 370
3.7%
8 368
3.7%
9 297
 
3.0%
ValueCountFrequency (%)
2072 1
< 0.1%
576 1
< 0.1%
563 1
< 0.1%
554 1
< 0.1%
501 1
< 0.1%
495 1
< 0.1%
445 1
< 0.1%
440 1
< 0.1%
424 1
< 0.1%
419 1
< 0.1%

9종
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9791
Minimum0
Maximum23
Zeros6676
Zeros (%)66.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:01:45.607249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum23
Range23
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.9976642
Coefficient of variation (CV)2.0403066
Kurtosis15.817898
Mean0.9791
Median Absolute Deviation (MAD)0
Skewness3.3293841
Sum9791
Variance3.9906623
MonotonicityNot monotonic
2023-12-11T06:01:45.734518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 6676
66.8%
1 1035
 
10.3%
2 920
 
9.2%
3 478
 
4.8%
4 311
 
3.1%
5 176
 
1.8%
6 132
 
1.3%
7 78
 
0.8%
8 57
 
0.6%
9 37
 
0.4%
Other values (10) 100
 
1.0%
ValueCountFrequency (%)
0 6676
66.8%
1 1035
 
10.3%
2 920
 
9.2%
3 478
 
4.8%
4 311
 
3.1%
5 176
 
1.8%
6 132
 
1.3%
7 78
 
0.8%
8 57
 
0.6%
9 37
 
0.4%
ValueCountFrequency (%)
23 1
 
< 0.1%
22 1
 
< 0.1%
21 3
 
< 0.1%
16 4
 
< 0.1%
15 3
 
< 0.1%
14 10
 
0.1%
13 13
0.1%
12 15
0.1%
11 25
0.2%
10 25
0.2%

10종
Real number (ℝ)

ZEROS 

Distinct423
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.7782
Minimum0
Maximum774
Zeros525
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:01:45.903581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median15
Q345
95-th percentile208
Maximum774
Range774
Interquartile range (IQR)40

Descriptive statistics

Standard deviation75.499963
Coefficient of variation (CV)1.7246018
Kurtosis17.437666
Mean43.7782
Median Absolute Deviation (MAD)12
Skewness3.5967666
Sum437782
Variance5700.2444
MonotonicityNot monotonic
2023-12-11T06:01:46.073300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 525
 
5.2%
2 503
 
5.0%
1 423
 
4.2%
3 393
 
3.9%
5 342
 
3.4%
4 339
 
3.4%
6 332
 
3.3%
8 327
 
3.3%
10 290
 
2.9%
9 277
 
2.8%
Other values (413) 6249
62.5%
ValueCountFrequency (%)
0 525
5.2%
1 423
4.2%
2 503
5.0%
3 393
3.9%
4 339
3.4%
5 342
3.4%
6 332
3.3%
7 249
2.5%
8 327
3.3%
9 277
2.8%
ValueCountFrequency (%)
774 1
< 0.1%
712 1
< 0.1%
703 1
< 0.1%
702 1
< 0.1%
699 1
< 0.1%
681 1
< 0.1%
664 1
< 0.1%
661 1
< 0.1%
656 1
< 0.1%
649 1
< 0.1%

11종
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3391
Minimum0
Maximum47
Zeros6733
Zeros (%)67.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:01:46.535171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum47
Range47
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.9315718
Coefficient of variation (CV)2.9359807
Kurtosis38.08355
Mean1.3391
Median Absolute Deviation (MAD)0
Skewness5.6451357
Sum13391
Variance15.457257
MonotonicityNot monotonic
2023-12-11T06:01:46.691739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 6733
67.3%
1 1096
 
11.0%
2 819
 
8.2%
3 437
 
4.4%
4 247
 
2.5%
5 159
 
1.6%
6 98
 
1.0%
7 62
 
0.6%
8 47
 
0.5%
10 19
 
0.2%
Other values (35) 283
 
2.8%
ValueCountFrequency (%)
0 6733
67.3%
1 1096
 
11.0%
2 819
 
8.2%
3 437
 
4.4%
4 247
 
2.5%
5 159
 
1.6%
6 98
 
1.0%
7 62
 
0.6%
8 47
 
0.5%
9 16
 
0.2%
ValueCountFrequency (%)
47 1
 
< 0.1%
45 2
 
< 0.1%
44 1
 
< 0.1%
42 1
 
< 0.1%
40 1
 
< 0.1%
39 2
 
< 0.1%
38 2
 
< 0.1%
37 1
 
< 0.1%
36 3
< 0.1%
35 5
0.1%

12종
Real number (ℝ)

ZEROS 

Distinct244
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.3988
Minimum0
Maximum896
Zeros1118
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:01:46.862283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q311
95-th percentile43
Maximum896
Range896
Interquartile range (IQR)9

Descriptive statistics

Standard deviation49.54324
Coefficient of variation (CV)3.4407895
Kurtosis122.39308
Mean14.3988
Median Absolute Deviation (MAD)4
Skewness10.098742
Sum143988
Variance2454.5326
MonotonicityNot monotonic
2023-12-11T06:01:47.008709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1118
 
11.2%
2 1031
 
10.3%
3 902
 
9.0%
4 820
 
8.2%
1 819
 
8.2%
5 659
 
6.6%
6 564
 
5.6%
7 461
 
4.6%
8 447
 
4.5%
9 318
 
3.2%
Other values (234) 2861
28.6%
ValueCountFrequency (%)
0 1118
11.2%
1 819
8.2%
2 1031
10.3%
3 902
9.0%
4 820
8.2%
5 659
6.6%
6 564
5.6%
7 461
4.6%
8 447
 
4.5%
9 318
 
3.2%
ValueCountFrequency (%)
896 1
< 0.1%
891 1
< 0.1%
885 1
< 0.1%
854 1
< 0.1%
806 1
< 0.1%
794 1
< 0.1%
732 1
< 0.1%
710 1
< 0.1%
708 1
< 0.1%
668 1
< 0.1%

전차종합계
Real number (ℝ)

Distinct8399
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16537.633
Minimum1014
Maximum72408
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:01:47.172585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1014
5-th percentile3670.95
Q19349.75
median14657.5
Q321429
95-th percentile37103.5
Maximum72408
Range71394
Interquartile range (IQR)12079.25

Descriptive statistics

Standard deviation10482.851
Coefficient of variation (CV)0.63387857
Kurtosis2.9414815
Mean16537.633
Median Absolute Deviation (MAD)5708.5
Skewness1.4447426
Sum1.6537633 × 108
Variance1.0989017 × 108
MonotonicityNot monotonic
2023-12-11T06:01:47.367136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11686 5
 
0.1%
9210 5
 
0.1%
8416 5
 
0.1%
9327 5
 
0.1%
13651 4
 
< 0.1%
11365 4
 
< 0.1%
17050 4
 
< 0.1%
10312 4
 
< 0.1%
11548 4
 
< 0.1%
7663 4
 
< 0.1%
Other values (8389) 9956
99.6%
ValueCountFrequency (%)
1014 1
< 0.1%
1095 1
< 0.1%
1107 1
< 0.1%
1355 1
< 0.1%
1400 2
< 0.1%
1401 1
< 0.1%
1473 1
< 0.1%
1494 1
< 0.1%
1541 1
< 0.1%
1544 1
< 0.1%
ValueCountFrequency (%)
72408 1
< 0.1%
70738 1
< 0.1%
70358 1
< 0.1%
68638 1
< 0.1%
68365 1
< 0.1%
67921 1
< 0.1%
67454 1
< 0.1%
66918 1
< 0.1%
66334 1
< 0.1%
66314 1
< 0.1%

Sample

년도월일호선명호선코드지점번호상/하행상/하행 코드지역지역코드주변분기점1종2종3종4종5종6종7종8종9종10종11종12종전차종합계
18895202248일반국도 47호선474707-00하행2경기 남양주 진접읍3113012국지도86분기130354242683123450817820506172318160
72202211일반국도 6호선60605-00상행1경기 남양주 와부읍3113011일반국도45분기2180315895532061622020023309
12912202226일반국도 48호선484802-03상행1경기 김포 월곶면3123035국지도56분기14359149980144364622010115720
374552022911일반국도 43호선434307-00하행2경기 남양주 별내면3113031일반국도47분기1808418368519236306000019189
165612022326일반국도 1호선10134-00하행2경기 평택 진위면3107031지방도314분기164466261493525170921140100519382
222862022531일반국도 45호선454506-02하행2경기 용인 처인 이동면3119133시군도분기2193435646803620113292614782524084233172
374012022912일반국도 43호선434302-03하행2경기 화성 봉담읍3124012안녕IC분기185071421249271378229162020020796
300742022721일반국도 45호선454504-00상행1경기 평택 팽성읍3107011일반국도38분기14513156128291943413967160380717571
25692202267일반국도 47호선474707-00상행1경기 남양주 진접읍3113012국지도86분기1431450823811420636226274014393819616
354632022929일반국도 43호선434301-01하행2경기 화성 팔탄면3124038일반국도39분기724225098829947164101008848
년도월일호선명호선코드지점번호상/하행상/하행 코드지역지역코드주변분기점1종2종3종4종5종6종7종8종9종10종11종12종전차종합계
663020221111일반국도 3호선30335-01하행2경기 연천 청산면3135032지방도372분기918529012643901732932664250411660
25721202265일반국도 82호선828202-02하행2경기 화성 향남면3124041일반국도43분기570149465119527484010066488
344222022815일반국도 43호선434301-09상행1경기 평택 오성면3107034일반국도38분기37949233323219371996593356520120336046831
420520221020일반국도 45호선454509-00하행2경기 광주 남종면3125036국지도88분기6828951333133303642101008787
330512022826일반국도 48호선484802-03상행1경기 김포 월곶면3123035국지도56분기1425322320415561443961120280117655
354292022929일반국도 38호선383802-00상행1경기 평택 고덕면3107033시군도분기192565172553151686333415550324021425503
28805202275일반국도 37호선373721-00상행1경기 가평 설악면3137031지방도352분기1719445326332152000002407
19144202244일반국도 6호선60606-04하행2경기 양평 양서면3138033일반국도45분기161785263031138632226638136240821798
354920221011일반국도 17호선171728-02상행1경기 용인 처인 원삼면3119134지방도325분기1032034926022037116236660980722817076
84612022113일반국도 47호선474708-02하행2경기 포천 내촌면3127032일반국도87분기10660174134410353456006881190814262