Overview

Dataset statistics

Number of variables42
Number of observations10000
Missing cells63735
Missing cells (%)15.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 MiB
Average record size in memory385.0 B

Variable types

Categorical4
Numeric38

Dataset

Description한국교통안전공단 운수안전컨설팅지원시스템에서 관리하고 있는 국가표준 링크에 대한 운행 통계 및 분석 정보* 파일 용량 제한으로 인해 일부 데이터만 추출
Author한국교통안전공단
URLhttps://www.data.go.kr/data/15066917/fileData.do

Alerts

기준년도 has constant value ""Constant
월평균장기과속카운트 is highly imbalanced (64.5%)Imbalance
사망자수 is highly imbalanced (52.5%)Imbalance
월평균운행속도 has 1358 (13.6%) missing valuesMissing
통행시간지수 has 1358 (13.6%) missing valuesMissing
계획통행시간지수 has 1358 (13.6%) missing valuesMissing
월평균20km이상과속카운트 has 672 (6.7%) missing valuesMissing
월평균40km이상과속카운트 has 672 (6.7%) missing valuesMissing
월평균60km이상과속카운트 has 672 (6.7%) missing valuesMissing
월평균급가속카운트 has 672 (6.7%) missing valuesMissing
월평균급출발카운트 has 672 (6.7%) missing valuesMissing
월평균급감속카운트 has 672 (6.7%) missing valuesMissing
월평균급정지카운트 has 672 (6.7%) missing valuesMissing
월평균급좌회전카운트 has 672 (6.7%) missing valuesMissing
월평균급우회전카운트 has 672 (6.7%) missing valuesMissing
월평균급유턴카운트 has 672 (6.7%) missing valuesMissing
월평균급앞지르기카운트 has 672 (6.7%) missing valuesMissing
월평균급진로변경카운트 has 672 (6.7%) missing valuesMissing
월평균공회전기준시간초과카운트 has 672 (6.7%) missing valuesMissing
중상자수 has 6920 (69.2%) missing valuesMissing
경상자수 has 6920 (69.2%) missing valuesMissing
부상자수 has 6920 (69.2%) missing valuesMissing
사고카운트 has 6920 (69.2%) missing valuesMissing
구간길이_대물피해환산 has 6843 (68.4%) missing valuesMissing
사고_대물피해환산 has 6843 (68.4%) missing valuesMissing
대물피해환산 has 6843 (68.4%) missing valuesMissing
월평균운행평균속도 has 1358 (13.6%) missing valuesMissing
월평균운행차량대수 has 1358 (13.6%) missing valuesMissing
계획통행시간지수 is highly skewed (γ1 = 89.63529323)Skewed
월평균40km이상과속카운트 is highly skewed (γ1 = 20.64307101)Skewed
월평균60km이상과속카운트 is highly skewed (γ1 = 29.63891896)Skewed
월평균급우회전카운트 is highly skewed (γ1 = 62.91772781)Skewed
링크 계정 has unique valuesUnique
월평균20km이상과속카운트 has 595 (5.9%) zerosZeros
월평균40km이상과속카운트 has 1753 (17.5%) zerosZeros
월평균60km이상과속카운트 has 3384 (33.8%) zerosZeros
월평균급출발카운트 has 462 (4.6%) zerosZeros
월평균급감속카운트 has 264 (2.6%) zerosZeros
월평균급정지카운트 has 381 (3.8%) zerosZeros
월평균급좌회전카운트 has 710 (7.1%) zerosZeros
월평균급우회전카운트 has 798 (8.0%) zerosZeros
월평균급유턴카운트 has 1362 (13.6%) zerosZeros
월평균급앞지르기카운트 has 564 (5.6%) zerosZeros
월평균급진로변경카운트 has 400 (4.0%) zerosZeros
월평균공회전기준시간초과카운트 has 516 (5.2%) zerosZeros
중상자수 has 1618 (16.2%) zerosZeros
경상자수 has 616 (6.2%) zerosZeros
부상자수 has 2466 (24.7%) zerosZeros

Reproduction

Analysis started2023-12-12 20:19:27.969081
Analysis finished2023-12-12 20:19:29.066380
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2018
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018
2nd row2018
3rd row2018
4th row2018
5th row2018

Common Values

ValueCountFrequency (%)
2018 10000
100.0%

Length

2023-12-13T05:19:29.151397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:19:29.264151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018 10000
100.0%

링크 계정
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3206216 × 109
Minimum1.0000003 × 109
Maximum1.6600556 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:29.411666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.0000003 × 109
5-th percentile1.0300077 × 109
Q11.1400463 × 109
median1.3200194 × 109
Q31.5200165 × 109
95-th percentile1.6401508 × 109
Maximum1.6600556 × 109
Range6.600553 × 108
Interquartile range (IQR)3.7997025 × 108

Descriptive statistics

Standard deviation2.0694482 × 108
Coefficient of variation (CV)0.15670259
Kurtosis-1.356111
Mean1.3206216 × 109
Median Absolute Deviation (MAD)1.8998075 × 108
Skewness0.1587495
Sum1.3206216 × 1013
Variance4.2826159 × 1016
MonotonicityNot monotonic
2023-12-13T05:19:29.626557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1570603500 1
 
< 0.1%
1640136800 1
 
< 0.1%
1220017102 1
 
< 0.1%
1640115900 1
 
< 0.1%
1380081500 1
 
< 0.1%
1570617100 1
 
< 0.1%
1100024400 1
 
< 0.1%
1450037000 1
 
< 0.1%
1000010103 1
 
< 0.1%
1450339200 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1000000303 1
< 0.1%
1000000603 1
< 0.1%
1000000801 1
< 0.1%
1000001002 1
< 0.1%
1000001302 1
< 0.1%
1000001502 1
< 0.1%
1000001505 1
< 0.1%
1000001602 1
< 0.1%
1000001700 1
< 0.1%
1000002001 1
< 0.1%
ValueCountFrequency (%)
1660055600 1
< 0.1%
1660055200 1
< 0.1%
1660054300 1
< 0.1%
1660053900 1
< 0.1%
1660052600 1
< 0.1%
1660052200 1
< 0.1%
1660052100 1
< 0.1%
1660052000 1
< 0.1%
1660051902 1
< 0.1%
1660051802 1
< 0.1%

도로등급
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.1148
Minimum101
Maximum108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:29.814281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile102
Q1104
median104
Q3107
95-th percentile107
Maximum108
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.749379
Coefficient of variation (CV)0.016642557
Kurtosis-1.2636311
Mean105.1148
Median Absolute Deviation (MAD)1
Skewness-0.12944239
Sum1051148
Variance3.060327
MonotonicityNot monotonic
2023-12-13T05:19:29.970322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
104 4340
43.4%
107 4308
43.1%
103 677
 
6.8%
102 381
 
3.8%
101 177
 
1.8%
105 78
 
0.8%
106 20
 
0.2%
108 19
 
0.2%
ValueCountFrequency (%)
101 177
 
1.8%
102 381
 
3.8%
103 677
 
6.8%
104 4340
43.4%
105 78
 
0.8%
106 20
 
0.2%
107 4308
43.1%
108 19
 
0.2%
ValueCountFrequency (%)
108 19
 
0.2%
107 4308
43.1%
106 20
 
0.2%
105 78
 
0.8%
104 4340
43.4%
103 677
 
6.8%
102 381
 
3.8%
101 177
 
1.8%

회귀상수
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-14.609693
Minimum-18.427879
Maximum-11.70294
Zeros0
Zeros (%)0.0%
Negative10000
Negative (%)100.0%
Memory size166.0 KiB
2023-12-13T05:19:30.115891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-18.427879
5-th percentile-14.908372
Q1-14.908372
median-14.455292
Q3-14.455292
95-th percentile-14.375932
Maximum-11.70294
Range6.724939
Interquartile range (IQR)0.45307928

Descriptive statistics

Standard deviation0.78722012
Coefficient of variation (CV)-0.053883414
Kurtosis11.859099
Mean-14.609693
Median Absolute Deviation (MAD)0.19879076
Skewness0.17339233
Sum-146096.93
Variance0.61971551
MonotonicityNot monotonic
2023-12-13T05:19:30.239685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
-14.90837156 4340
43.4%
-14.45529228 4308
43.1%
-14.37593175 677
 
6.8%
-11.70293956 381
 
3.8%
-18.08112345 177
 
1.8%
-14.25650152 78
 
0.8%
-13.36865526 20
 
0.2%
-18.42787859 19
 
0.2%
ValueCountFrequency (%)
-18.42787859 19
 
0.2%
-18.08112345 177
 
1.8%
-14.90837156 4340
43.4%
-14.45529228 4308
43.1%
-14.37593175 677
 
6.8%
-14.25650152 78
 
0.8%
-13.36865526 20
 
0.2%
-11.70293956 381
 
3.8%
ValueCountFrequency (%)
-11.70293956 381
 
3.8%
-13.36865526 20
 
0.2%
-14.25650152 78
 
0.8%
-14.37593175 677
 
6.8%
-14.45529228 4308
43.1%
-14.90837156 4340
43.4%
-18.08112345 177
 
1.8%
-18.42787859 19
 
0.2%

회귀계수교통량
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.31633189
Minimum0.1313138
Maximum0.84208066
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:30.425636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1313138
5-th percentile0.25954854
Q10.31996486
median0.31996486
Q30.32436078
95-th percentile0.32436078
Maximum0.84208066
Range0.71076686
Interquartile range (IQR)0.004395927

Descriptive statistics

Standard deviation0.059935885
Coefficient of variation (CV)0.18947152
Kurtosis21.63863
Mean0.31633189
Median Absolute Deviation (MAD)0.004395927
Skewness2.1335376
Sum3163.3189
Variance0.0035923103
MonotonicityNot monotonic
2023-12-13T05:19:30.600605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.324360784 4340
43.4%
0.319964857 4308
43.1%
0.259548544 677
 
6.8%
0.131313803 381
 
3.8%
0.607497171 177
 
1.8%
0.287657768 78
 
0.8%
0.273787892 20
 
0.2%
0.842080659 19
 
0.2%
ValueCountFrequency (%)
0.131313803 381
 
3.8%
0.259548544 677
 
6.8%
0.273787892 20
 
0.2%
0.287657768 78
 
0.8%
0.319964857 4308
43.1%
0.324360784 4340
43.4%
0.607497171 177
 
1.8%
0.842080659 19
 
0.2%
ValueCountFrequency (%)
0.842080659 19
 
0.2%
0.607497171 177
 
1.8%
0.324360784 4340
43.4%
0.319964857 4308
43.1%
0.287657768 78
 
0.8%
0.273787892 20
 
0.2%
0.259548544 677
 
6.8%
0.131313803 381
 
3.8%

회귀계수구간길이
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.62658903
Minimum0.22932321
Maximum0.69484719
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:30.767933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.22932321
5-th percentile0.49437801
Q10.64117435
median0.64117435
Q30.64637739
95-th percentile0.64637739
Maximum0.69484719
Range0.46552398
Interquartile range (IQR)0.00520304

Descriptive statistics

Standard deviation0.067922141
Coefficient of variation (CV)0.10839982
Kurtosis18.95223
Mean0.62658903
Median Absolute Deviation (MAD)0.00520304
Skewness-4.0795294
Sum6265.8903
Variance0.0046134172
MonotonicityNot monotonic
2023-12-13T05:19:30.904237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.641174349 4340
43.4%
0.646377389 4308
43.1%
0.494378014 677
 
6.8%
0.69484719 381
 
3.8%
0.229323214 177
 
1.8%
0.51885269 78
 
0.8%
0.49705128 20
 
0.2%
0.429862787 19
 
0.2%
ValueCountFrequency (%)
0.229323214 177
 
1.8%
0.429862787 19
 
0.2%
0.494378014 677
 
6.8%
0.49705128 20
 
0.2%
0.51885269 78
 
0.8%
0.641174349 4340
43.4%
0.646377389 4308
43.1%
0.69484719 381
 
3.8%
ValueCountFrequency (%)
0.69484719 381
 
3.8%
0.646377389 4308
43.1%
0.641174349 4340
43.4%
0.51885269 78
 
0.8%
0.49705128 20
 
0.2%
0.494378014 677
 
6.8%
0.429862787 19
 
0.2%
0.229323214 177
 
1.8%

회귀계수위험운전행동차량
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6436096
Minimum0.5202035
Maximum0.7611127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:31.049519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.5202035
5-th percentile0.62792035
Q10.62792035
median0.65240609
Q30.65240609
95-th percentile0.72473496
Maximum0.7611127
Range0.2409092
Interquartile range (IQR)0.024485741

Descriptive statistics

Standard deviation0.037633077
Coefficient of variation (CV)0.058471902
Kurtosis4.5701897
Mean0.6436096
Median Absolute Deviation (MAD)0.024485741
Skewness-0.15195531
Sum6436.096
Variance0.0014162485
MonotonicityNot monotonic
2023-12-13T05:19:31.193289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.652406091 4340
43.4%
0.62792035 4308
43.1%
0.724734956 677
 
6.8%
0.5202035 381
 
3.8%
0.761112696 177
 
1.8%
0.665487014 78
 
0.8%
0.615024383 20
 
0.2%
0.621270061 19
 
0.2%
ValueCountFrequency (%)
0.5202035 381
 
3.8%
0.615024383 20
 
0.2%
0.621270061 19
 
0.2%
0.62792035 4308
43.1%
0.652406091 4340
43.4%
0.665487014 78
 
0.8%
0.724734956 677
 
6.8%
0.761112696 177
 
1.8%
ValueCountFrequency (%)
0.761112696 177
 
1.8%
0.724734956 677
 
6.8%
0.665487014 78
 
0.8%
0.652406091 4340
43.4%
0.62792035 4308
43.1%
0.621270061 19
 
0.2%
0.615024383 20
 
0.2%
0.5202035 381
 
3.8%

회귀확산도
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.536398
Minimum1.8465716
Maximum4.1720782
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:31.332337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.8465716
5-th percentile1.8465716
Q11.8465716
median2.6964355
Q33.1953372
95-th percentile3.1953372
Maximum4.1720782
Range2.3255066
Interquartile range (IQR)1.3487657

Descriptive statistics

Standard deviation0.63987193
Coefficient of variation (CV)0.25227584
Kurtosis-1.8283331
Mean2.536398
Median Absolute Deviation (MAD)0.49890172
Skewness-0.028900265
Sum25363.98
Variance0.40943609
MonotonicityNot monotonic
2023-12-13T05:19:31.465819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1.846571558 4340
43.4%
3.195337249 4308
43.1%
2.696435525 677
 
6.8%
2.300385822 381
 
3.8%
2.872996687 177
 
1.8%
3.248447277 78
 
0.8%
4.172078202 20
 
0.2%
1.951162153 19
 
0.2%
ValueCountFrequency (%)
1.846571558 4340
43.4%
1.951162153 19
 
0.2%
2.300385822 381
 
3.8%
2.696435525 677
 
6.8%
2.872996687 177
 
1.8%
3.195337249 4308
43.1%
3.248447277 78
 
0.8%
4.172078202 20
 
0.2%
ValueCountFrequency (%)
4.172078202 20
 
0.2%
3.248447277 78
 
0.8%
3.195337249 4308
43.1%
2.872996687 177
 
1.8%
2.696435525 677
 
6.8%
2.300385822 381
 
3.8%
1.951162153 19
 
0.2%
1.846571558 4340
43.4%

도로위험수준
Real number (ℝ)

Distinct9989
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.11238049
Minimum-26.420339
Maximum32.422696
Zeros0
Zeros (%)0.0%
Negative7886
Negative (%)78.9%
Memory size166.0 KiB
2023-12-13T05:19:31.643993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-26.420339
5-th percentile-2.8879382
Q1-0.61607205
median-0.11556627
Q3-0.00043374675
95-th percentile4.7605964
Maximum32.422696
Range58.843035
Interquartile range (IQR)0.6156383

Descriptive statistics

Standard deviation2.83932
Coefficient of variation (CV)25.26524
Kurtosis18.021924
Mean0.11238049
Median Absolute Deviation (MAD)0.34478354
Skewness1.7544473
Sum1123.8049
Variance8.0617381
MonotonicityNot monotonic
2023-12-13T05:19:31.849885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.000396218 2
 
< 0.1%
-0.000453579 2
 
< 0.1%
-0.000489674 2
 
< 0.1%
-0.000278925 2
 
< 0.1%
-0.000322252 2
 
< 0.1%
-0.000329789 2
 
< 0.1%
-0.000439843 2
 
< 0.1%
-0.000444377 2
 
< 0.1%
-0.000413837 2
 
< 0.1%
-0.000338699 2
 
< 0.1%
Other values (9979) 9980
99.8%
ValueCountFrequency (%)
-26.42033904 1
< 0.1%
-21.30041135 1
< 0.1%
-19.97595916 1
< 0.1%
-17.71147528 1
< 0.1%
-17.48203369 1
< 0.1%
-17.23524762 1
< 0.1%
-17.20572927 1
< 0.1%
-16.69493843 1
< 0.1%
-16.68482051 1
< 0.1%
-16.46927366 1
< 0.1%
ValueCountFrequency (%)
32.42269563 1
< 0.1%
29.75873174 1
< 0.1%
27.83310016 1
< 0.1%
27.48609341 1
< 0.1%
25.1880029 1
< 0.1%
23.91158346 1
< 0.1%
23.72251701 1
< 0.1%
23.70080255 1
< 0.1%
23.5789281 1
< 0.1%
20.93473336 1
< 0.1%

도로위험순위
Real number (ℝ)

Distinct9638
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44668.645
Minimum7
Maximum167830
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:32.066037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile1028.95
Q19503.25
median27912
Q356595.25
95-th percentile161580.25
Maximum167830
Range167823
Interquartile range (IQR)47092

Descriptive statistics

Standard deviation48512.578
Coefficient of variation (CV)1.0860544
Kurtosis0.75720471
Mean44668.645
Median Absolute Deviation (MAD)19977.5
Skewness1.3873839
Sum4.4668645 × 108
Variance2.3534703 × 109
MonotonicityNot monotonic
2023-12-13T05:19:32.254603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8680 3
 
< 0.1%
2313 3
 
< 0.1%
523 3
 
< 0.1%
20039 2
 
< 0.1%
7695 2
 
< 0.1%
383 2
 
< 0.1%
451 2
 
< 0.1%
1814 2
 
< 0.1%
46449 2
 
< 0.1%
8745 2
 
< 0.1%
Other values (9628) 9977
99.8%
ValueCountFrequency (%)
7 1
< 0.1%
8 1
< 0.1%
9 2
< 0.1%
10 1
< 0.1%
14 1
< 0.1%
15 2
< 0.1%
17 1
< 0.1%
21 1
< 0.1%
22 1
< 0.1%
23 1
< 0.1%
ValueCountFrequency (%)
167830 1
< 0.1%
167817 1
< 0.1%
167813 1
< 0.1%
167811 1
< 0.1%
167790 1
< 0.1%
167775 1
< 0.1%
167759 1
< 0.1%
167758 1
< 0.1%
167756 1
< 0.1%
167755 1
< 0.1%

도로안전등급
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
A
7558 
B
1286 
D
 
677
C
 
479

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA
2nd rowA
3rd rowA
4th rowB
5th rowA

Common Values

ValueCountFrequency (%)
A 7558
75.6%
B 1286
 
12.9%
D 677
 
6.8%
C 479
 
4.8%

Length

2023-12-13T05:19:32.457391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:19:32.580278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a 7558
75.6%
b 1286
 
12.9%
d 677
 
6.8%
c 479
 
4.8%

도로참조집단위험수준
Real number (ℝ)

Distinct9989
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4833195
Minimum6.8517 × 10-5
Maximum52.17467
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:32.750508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.8517 × 10-5
5-th percentile0.00049651675
Q10.080409426
median0.4150374
Q31.5689071
95-th percentile6.5386284
Maximum52.17467
Range52.174602
Interquartile range (IQR)1.4884977

Descriptive statistics

Standard deviation2.9500756
Coefficient of variation (CV)1.9888335
Kurtosis42.247387
Mean1.4833195
Median Absolute Deviation (MAD)0.39678696
Skewness5.0904106
Sum14833.195
Variance8.7029459
MonotonicityNot monotonic
2023-12-13T05:19:32.971386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.000396218 2
 
< 0.1%
0.000453579 2
 
< 0.1%
0.000489674 2
 
< 0.1%
0.000278925 2
 
< 0.1%
0.000322252 2
 
< 0.1%
0.000329789 2
 
< 0.1%
0.000439843 2
 
< 0.1%
0.000444377 2
 
< 0.1%
0.000413837 2
 
< 0.1%
0.000338699 2
 
< 0.1%
Other values (9979) 9980
99.8%
ValueCountFrequency (%)
6.8517e-05 1
< 0.1%
7.9009e-05 1
< 0.1%
9.9012e-05 1
< 0.1%
9.9899e-05 1
< 0.1%
0.000101322 1
< 0.1%
0.000110059 1
< 0.1%
0.000120902 1
< 0.1%
0.000123166 1
< 0.1%
0.000135568 1
< 0.1%
0.000141649 1
< 0.1%
ValueCountFrequency (%)
52.17467033 1
< 0.1%
43.0675365 1
< 0.1%
42.01577209 1
< 0.1%
39.81068855 1
< 0.1%
37.88834909 1
< 0.1%
36.27545669 1
< 0.1%
35.30041135 1
< 0.1%
34.97873553 1
< 0.1%
30.86839494 1
< 0.1%
30.7864965 1
< 0.1%

지수(psi)
Real number (ℝ)

Distinct966
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.383447
Minimum-50.87
Maximum1
Zeros14
Zeros (%)0.1%
Negative3163
Negative (%)31.6%
Memory size166.0 KiB
2023-12-13T05:19:33.191591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-50.87
5-th percentile-5.251
Q1-0.45
median0.71
Q30.99
95-th percentile1
Maximum1
Range51.87
Interquartile range (IQR)1.44

Descriptive statistics

Standard deviation2.8944089
Coefficient of variation (CV)-7.5483937
Kurtosis44.173369
Mean-0.383447
Median Absolute Deviation (MAD)0.29
Skewness-5.2085041
Sum-3834.47
Variance8.377603
MonotonicityNot monotonic
2023-12-13T05:19:33.424440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 1896
 
19.0%
0.99 620
 
6.2%
0.98 324
 
3.2%
0.97 232
 
2.3%
0.95 185
 
1.8%
0.96 184
 
1.8%
0.94 143
 
1.4%
0.92 123
 
1.2%
0.93 102
 
1.0%
0.91 95
 
0.9%
Other values (956) 6096
61.0%
ValueCountFrequency (%)
-50.87 1
< 0.1%
-41.83 1
< 0.1%
-40.56 1
< 0.1%
-38.45 1
< 0.1%
-36.62 1
< 0.1%
-34.89 1
< 0.1%
-33.81 1
< 0.1%
-33.58 1
< 0.1%
-29.67 1
< 0.1%
-29.43 1
< 0.1%
ValueCountFrequency (%)
1.0 1896
19.0%
0.99 620
 
6.2%
0.98 324
 
3.2%
0.97 232
 
2.3%
0.96 184
 
1.8%
0.95 185
 
1.8%
0.94 143
 
1.4%
0.93 102
 
1.0%
0.92 123
 
1.2%
0.91 95
 
0.9%

권역도로위험순위
Real number (ℝ)

Distinct1253
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean310.7267
Minimum1
Maximum1478
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:33.616613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11
Q169
median222
Q3457
95-th percentile925.05
Maximum1478
Range1477
Interquartile range (IQR)388

Descriptive statistics

Standard deviation300.09775
Coefficient of variation (CV)0.96579325
Kurtosis1.3713068
Mean310.7267
Median Absolute Deviation (MAD)173
Skewness1.3087663
Sum3107267
Variance90058.66
MonotonicityNot monotonic
2023-12-13T05:19:33.836190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 59
 
0.6%
4 56
 
0.6%
6 56
 
0.6%
3 54
 
0.5%
7 54
 
0.5%
19 52
 
0.5%
10 51
 
0.5%
17 51
 
0.5%
8 50
 
0.5%
2 50
 
0.5%
Other values (1243) 9467
94.7%
ValueCountFrequency (%)
1 44
0.4%
2 50
0.5%
3 54
0.5%
4 56
0.6%
5 39
0.4%
6 56
0.6%
7 54
0.5%
8 50
0.5%
9 44
0.4%
10 51
0.5%
ValueCountFrequency (%)
1478 1
< 0.1%
1477 1
< 0.1%
1471 1
< 0.1%
1464 1
< 0.1%
1461 1
< 0.1%
1457 1
< 0.1%
1455 1
< 0.1%
1451 1
< 0.1%
1450 1
< 0.1%
1447 1
< 0.1%

권역지수(psi)순위
Real number (ℝ)

Distinct1587
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean484.4486
Minimum1
Maximum2253
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:34.047748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q1129
median388
Q3724
95-th percentile1362.05
Maximum2253
Range2252
Interquartile range (IQR)595

Descriptive statistics

Standard deviation449.11772
Coefficient of variation (CV)0.92706991
Kurtosis1.1187743
Mean484.4486
Median Absolute Deviation (MAD)290
Skewness1.1313681
Sum4844486
Variance201706.73
MonotonicityNot monotonic
2023-12-13T05:19:34.205549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1896
 
19.0%
953 57
 
0.6%
138 52
 
0.5%
576 41
 
0.4%
374 39
 
0.4%
441 39
 
0.4%
162 34
 
0.3%
303 32
 
0.3%
129 32
 
0.3%
577 31
 
0.3%
Other values (1577) 7747
77.5%
ValueCountFrequency (%)
1 1896
19.0%
6 1
 
< 0.1%
7 1
 
< 0.1%
10 1
 
< 0.1%
14 1
 
< 0.1%
15 1
 
< 0.1%
16 2
 
< 0.1%
18 1
 
< 0.1%
19 3
 
< 0.1%
20 6
 
0.1%
ValueCountFrequency (%)
2253 1
< 0.1%
2251 1
< 0.1%
2249 1
< 0.1%
2242 1
< 0.1%
2236 1
< 0.1%
2235 1
< 0.1%
2229 1
< 0.1%
2220 1
< 0.1%
2215 1
< 0.1%
2212 1
< 0.1%

월평균운행속도
Real number (ℝ)

MISSING 

Distinct8642
Distinct (%)100.0%
Missing1358
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean27.290502
Minimum3.8300436
Maximum99.034248
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:34.381816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.8300436
5-th percentile13.430616
Q118.534432
median23.330299
Q331.7794
95-th percentile55.942042
Maximum99.034248
Range95.204204
Interquartile range (IQR)13.244968

Descriptive statistics

Standard deviation13.473678
Coefficient of variation (CV)0.49371308
Kurtosis3.7851562
Mean27.290502
Median Absolute Deviation (MAD)5.8695401
Skewness1.7779784
Sum235844.52
Variance181.54
MonotonicityNot monotonic
2023-12-13T05:19:34.538193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23.83526084 1
 
< 0.1%
28.44410054 1
 
< 0.1%
62.78336081 1
 
< 0.1%
25.11627993 1
 
< 0.1%
50.46936927 1
 
< 0.1%
20.38781079 1
 
< 0.1%
15.21092699 1
 
< 0.1%
67.8559684 1
 
< 0.1%
35.23428355 1
 
< 0.1%
20.24798248 1
 
< 0.1%
Other values (8632) 8632
86.3%
(Missing) 1358
 
13.6%
ValueCountFrequency (%)
3.830043611 1
< 0.1%
4.654949982 1
< 0.1%
4.673529994 1
< 0.1%
5.223863174 1
< 0.1%
5.423179784 1
< 0.1%
5.844547527 1
< 0.1%
5.877851242 1
< 0.1%
5.985280709 1
< 0.1%
6.743226313 1
< 0.1%
6.756450555 1
< 0.1%
ValueCountFrequency (%)
99.03424755 1
< 0.1%
95.95815017 1
< 0.1%
95.17682827 1
< 0.1%
94.51346038 1
< 0.1%
94.30277588 1
< 0.1%
91.65636392 1
< 0.1%
91.57225771 1
< 0.1%
91.49893786 1
< 0.1%
91.28113787 1
< 0.1%
90.8639866 1
< 0.1%

통행시간지수
Real number (ℝ)

MISSING 

Distinct8642
Distinct (%)100.0%
Missing1358
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean2.4648107
Minimum0
Maximum88.998706
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:34.690617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.96149641
Q11.525126
median2.1163606
Q32.9439235
95-th percentile4.5672859
Maximum88.998706
Range88.998706
Interquartile range (IQR)1.4187975

Descriptive statistics

Standard deviation2.4567578
Coefficient of variation (CV)0.99673283
Kurtosis479.03032
Mean2.4648107
Median Absolute Deviation (MAD)0.67538618
Skewness17.858073
Sum21300.894
Variance6.0356588
MonotonicityNot monotonic
2023-12-13T05:19:35.147782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.53372005 1
 
< 0.1%
1.28852988 1
 
< 0.1%
1.116672136 1
 
< 0.1%
1.205358658 1
 
< 0.1%
1.139032418 1
 
< 0.1%
1.422504907 1
 
< 0.1%
2.004757028 1
 
< 0.1%
1.078410384 1
 
< 0.1%
1.675531745 1
 
< 0.1%
3.57270585 1
 
< 0.1%
Other values (8632) 8632
86.3%
(Missing) 1358
 
13.6%
ValueCountFrequency (%)
0.0 1
< 0.1%
0.298777949 1
< 0.1%
0.359098304 1
< 0.1%
0.370020542 1
< 0.1%
0.404395854 1
< 0.1%
0.43769517 1
< 0.1%
0.441691922 1
< 0.1%
0.454873714 1
< 0.1%
0.458378819 1
< 0.1%
0.469283821 1
< 0.1%
ValueCountFrequency (%)
88.99870564 1
< 0.1%
80.8737722 1
< 0.1%
65.68696596 1
< 0.1%
61.62694007 1
< 0.1%
57.75354577 1
< 0.1%
56.98674778 1
< 0.1%
47.23536913 1
< 0.1%
42.85823603 1
< 0.1%
36.42586095 1
< 0.1%
34.22679903 1
< 0.1%

계획통행시간지수
Real number (ℝ)

MISSING  SKEWED 

Distinct8642
Distinct (%)100.0%
Missing1358
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean27.132444
Minimum0
Maximum66536.226
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:35.302099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.3379643
Q16.257809
median10.83175
Q318.653203
95-th percentile45.467691
Maximum66536.226
Range66536.226
Interquartile range (IQR)12.395394

Descriptive statistics

Standard deviation725.04248
Coefficient of variation (CV)26.722343
Kurtosis8200.6118
Mean27.132444
Median Absolute Deviation (MAD)5.4953952
Skewness89.635293
Sum234478.58
Variance525686.6
MonotonicityNot monotonic
2023-12-13T05:19:35.447777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.80665607 1
 
< 0.1%
11.51342096 1
 
< 0.1%
2.073997516 1
 
< 0.1%
6.632996542 1
 
< 0.1%
3.834822827 1
 
< 0.1%
11.53110507 1
 
< 0.1%
6.962402926 1
 
< 0.1%
3.257873986 1
 
< 0.1%
3.876603308 1
 
< 0.1%
11.83032786 1
 
< 0.1%
Other values (8632) 8632
86.3%
(Missing) 1358
 
13.6%
ValueCountFrequency (%)
0.0 1
< 0.1%
0.493507208 1
< 0.1%
0.582011833 1
< 0.1%
0.615166136 1
< 0.1%
0.720236627 1
< 0.1%
0.789555499 1
< 0.1%
0.827319806 1
< 0.1%
0.841524629 1
< 0.1%
0.865022182 1
< 0.1%
0.867643889 1
< 0.1%
ValueCountFrequency (%)
66536.22597 1
< 0.1%
9721.282294 1
< 0.1%
2489.896166 1
< 0.1%
1775.672174 1
< 0.1%
1630.390244 1
< 0.1%
1369.765014 1
< 0.1%
1135.546935 1
< 0.1%
917.6101024 1
< 0.1%
877.6975208 1
< 0.1%
836.7625379 1
< 0.1%

월평균20km이상과속카운트
Real number (ℝ)

MISSING  ZEROS 

Distinct3095
Distinct (%)33.2%
Missing672
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean272.30239
Minimum0
Maximum50536.3
Zeros595
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:35.601623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.8
median17.8
Q3127.325
95-th percentile1189.995
Maximum50536.3
Range50536.3
Interquartile range (IQR)125.525

Descriptive statistics

Standard deviation1182.9658
Coefficient of variation (CV)4.3443092
Kurtosis513.47852
Mean272.30239
Median Absolute Deviation (MAD)17.6
Skewness17.175986
Sum2540036.7
Variance1399408
MonotonicityNot monotonic
2023-12-13T05:19:35.744826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 595
 
5.9%
0.3 255
 
2.5%
0.1 221
 
2.2%
0.2 151
 
1.5%
0.8 142
 
1.4%
0.6 100
 
1.0%
0.5 97
 
1.0%
1.3 95
 
0.9%
0.4 92
 
0.9%
1.0 82
 
0.8%
Other values (3085) 7498
75.0%
(Missing) 672
 
6.7%
ValueCountFrequency (%)
0.0 595
5.9%
0.1 221
 
2.2%
0.2 151
 
1.5%
0.3 255
2.5%
0.4 92
 
0.9%
0.5 97
 
1.0%
0.6 100
 
1.0%
0.7 78
 
0.8%
0.8 142
 
1.4%
0.9 73
 
0.7%
ValueCountFrequency (%)
50536.3 1
< 0.1%
36317.0 1
< 0.1%
26246.7 1
< 0.1%
21129.9 1
< 0.1%
17013.8 1
< 0.1%
16566.0 1
< 0.1%
15774.5 1
< 0.1%
15149.5 1
< 0.1%
15005.9 1
< 0.1%
13748.8 1
< 0.1%

월평균40km이상과속카운트
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct1212
Distinct (%)13.0%
Missing672
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean41.962007
Minimum0
Maximum10810.2
Zeros1753
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:35.890576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1
median1.2
Q38.9
95-th percentile126.495
Maximum10810.2
Range10810.2
Interquartile range (IQR)8.8

Descriptive statistics

Standard deviation317.5993
Coefficient of variation (CV)7.5687349
Kurtosis539.05737
Mean41.962007
Median Absolute Deviation (MAD)1.2
Skewness20.643071
Sum391421.6
Variance100869.32
MonotonicityNot monotonic
2023-12-13T05:19:36.019383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1753
 
17.5%
0.1 643
 
6.4%
0.3 583
 
5.8%
0.2 444
 
4.4%
0.8 233
 
2.3%
0.4 229
 
2.3%
0.7 158
 
1.6%
1.3 157
 
1.6%
0.5 154
 
1.5%
0.6 150
 
1.5%
Other values (1202) 4824
48.2%
(Missing) 672
 
6.7%
ValueCountFrequency (%)
0.0 1753
17.5%
0.1 643
 
6.4%
0.2 444
 
4.4%
0.3 583
 
5.8%
0.4 229
 
2.3%
0.5 154
 
1.5%
0.6 150
 
1.5%
0.7 158
 
1.6%
0.8 233
 
2.3%
0.9 106
 
1.1%
ValueCountFrequency (%)
10810.2 1
< 0.1%
10279.8 1
< 0.1%
10167.4 1
< 0.1%
8122.0 1
< 0.1%
7329.6 1
< 0.1%
6490.4 1
< 0.1%
6138.8 1
< 0.1%
6001.4 1
< 0.1%
5846.3 1
< 0.1%
5799.0 1
< 0.1%

월평균60km이상과속카운트
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct555
Distinct (%)5.9%
Missing672
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean8.3333834
Minimum0
Maximum3776.8
Zeros3384
Zeros (%)33.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:36.171531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.2
Q31.3
95-th percentile19.865
Maximum3776.8
Range3776.8
Interquartile range (IQR)1.3

Descriptive statistics

Standard deviation91.481231
Coefficient of variation (CV)10.977682
Kurtosis1042.9125
Mean8.3333834
Median Absolute Deviation (MAD)0.2
Skewness29.638919
Sum77733.8
Variance8368.8157
MonotonicityNot monotonic
2023-12-13T05:19:36.326548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 3384
33.8%
0.1 987
 
9.9%
0.3 674
 
6.7%
0.2 587
 
5.9%
0.8 237
 
2.4%
0.4 223
 
2.2%
0.5 178
 
1.8%
0.6 167
 
1.7%
0.7 155
 
1.6%
1.3 134
 
1.3%
Other values (545) 2602
26.0%
(Missing) 672
 
6.7%
ValueCountFrequency (%)
0.0 3384
33.8%
0.1 987
 
9.9%
0.2 587
 
5.9%
0.3 674
 
6.7%
0.4 223
 
2.2%
0.5 178
 
1.8%
0.6 167
 
1.7%
0.7 155
 
1.6%
0.8 237
 
2.4%
0.9 113
 
1.1%
ValueCountFrequency (%)
3776.8 1
< 0.1%
3615.9 1
< 0.1%
3401.7 1
< 0.1%
3271.5 1
< 0.1%
2380.1 1
< 0.1%
1996.0 1
< 0.1%
1711.1 1
< 0.1%
1300.1 1
< 0.1%
1219.7 1
< 0.1%
927.4 1
< 0.1%

월평균장기과속카운트
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9328 
<NA>
 
672

Length

Max length4
Median length1
Mean length1.2016
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 9328
93.3%
<NA> 672
 
6.7%

Length

2023-12-13T05:19:36.496333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:19:36.619419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9328
93.3%
na 672
 
6.7%

월평균급가속카운트
Real number (ℝ)

MISSING 

Distinct5249
Distinct (%)56.3%
Missing672
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean787.99417
Minimum0
Maximum38891.3
Zeros75
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:36.745011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.2
Q122.6
median144.7
Q3699.25
95-th percentile3694.44
Maximum38891.3
Range38891.3
Interquartile range (IQR)676.65

Descriptive statistics

Standard deviation1851.5171
Coefficient of variation (CV)2.3496583
Kurtosis60.832484
Mean787.99417
Median Absolute Deviation (MAD)140.1
Skewness5.9994314
Sum7350409.6
Variance3428115.4
MonotonicityNot monotonic
2023-12-13T05:19:36.924515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 75
 
0.8%
1.0 55
 
0.5%
0.8 49
 
0.5%
0.3 47
 
0.5%
0.5 41
 
0.4%
0.4 39
 
0.4%
0.7 36
 
0.4%
1.2 35
 
0.4%
1.3 34
 
0.3%
0.9 30
 
0.3%
Other values (5239) 8887
88.9%
(Missing) 672
 
6.7%
ValueCountFrequency (%)
0.0 75
0.8%
0.1 14
 
0.1%
0.2 17
 
0.2%
0.3 47
0.5%
0.4 39
0.4%
0.5 41
0.4%
0.6 26
 
0.3%
0.7 36
0.4%
0.8 49
0.5%
0.9 30
 
0.3%
ValueCountFrequency (%)
38891.3 1
< 0.1%
31852.2 1
< 0.1%
31035.5 1
< 0.1%
26820.3 1
< 0.1%
22502.6 1
< 0.1%
19990.2 1
< 0.1%
19861.8 1
< 0.1%
18441.2 1
< 0.1%
18358.8 1
< 0.1%
17849.0 1
< 0.1%

월평균급출발카운트
Real number (ℝ)

MISSING  ZEROS 

Distinct2276
Distinct (%)24.4%
Missing672
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean72.934659
Minimum0
Maximum3029
Zeros462
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:37.102027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1
Q11.7
median10.4
Q362.425
95-th percentile362.765
Maximum3029
Range3029
Interquartile range (IQR)60.725

Descriptive statistics

Standard deviation169.37073
Coefficient of variation (CV)2.3222256
Kurtosis41.364053
Mean72.934659
Median Absolute Deviation (MAD)10.1
Skewness5.2214128
Sum680334.5
Variance28686.444
MonotonicityNot monotonic
2023-12-13T05:19:37.297739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 462
 
4.6%
0.3 262
 
2.6%
0.1 216
 
2.2%
0.2 195
 
1.9%
0.8 154
 
1.5%
0.4 128
 
1.3%
0.5 126
 
1.3%
1.3 112
 
1.1%
0.9 101
 
1.0%
1.8 94
 
0.9%
Other values (2266) 7478
74.8%
(Missing) 672
 
6.7%
ValueCountFrequency (%)
0.0 462
4.6%
0.1 216
2.2%
0.2 195
1.9%
0.3 262
2.6%
0.4 128
 
1.3%
0.5 126
 
1.3%
0.6 76
 
0.8%
0.7 84
 
0.8%
0.8 154
 
1.5%
0.9 101
 
1.0%
ValueCountFrequency (%)
3029.0 1
< 0.1%
2182.2 1
< 0.1%
2095.5 1
< 0.1%
1954.9 1
< 0.1%
1920.3 1
< 0.1%
1852.7 1
< 0.1%
1850.9 1
< 0.1%
1820.8 1
< 0.1%
1808.1 1
< 0.1%
1806.7 1
< 0.1%

월평균급감속카운트
Real number (ℝ)

MISSING  ZEROS 

Distinct3530
Distinct (%)37.8%
Missing672
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean258.5874
Minimum0
Maximum16739.8
Zeros264
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:37.461449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q13.9
median35
Q3194.025
95-th percentile1289.42
Maximum16739.8
Range16739.8
Interquartile range (IQR)190.125

Descriptive statistics

Standard deviation683.99149
Coefficient of variation (CV)2.6451075
Kurtosis76.315078
Mean258.5874
Median Absolute Deviation (MAD)34.4
Skewness6.6715323
Sum2412103.3
Variance467844.35
MonotonicityNot monotonic
2023-12-13T05:19:37.621938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 264
 
2.6%
0.3 180
 
1.8%
0.8 132
 
1.3%
0.1 131
 
1.3%
0.2 115
 
1.1%
1.3 86
 
0.9%
0.4 81
 
0.8%
0.6 78
 
0.8%
0.5 78
 
0.8%
1.8 77
 
0.8%
Other values (3520) 8106
81.1%
(Missing) 672
 
6.7%
ValueCountFrequency (%)
0.0 264
2.6%
0.1 131
1.3%
0.2 115
1.1%
0.3 180
1.8%
0.4 81
 
0.8%
0.5 78
 
0.8%
0.6 78
 
0.8%
0.7 65
 
0.7%
0.8 132
1.3%
0.9 60
 
0.6%
ValueCountFrequency (%)
16739.8 1
< 0.1%
11601.0 1
< 0.1%
9134.3 1
< 0.1%
9053.1 1
< 0.1%
8259.7 1
< 0.1%
7723.9 1
< 0.1%
7478.8 1
< 0.1%
7246.9 1
< 0.1%
7178.4 1
< 0.1%
7150.4 1
< 0.1%

월평균급정지카운트
Real number (ℝ)

MISSING  ZEROS 

Distinct2193
Distinct (%)23.5%
Missing672
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean78.611546
Minimum0
Maximum3632.8
Zeros381
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:37.765690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1
Q11.8
median10.2
Q356.5
95-th percentile399.29
Maximum3632.8
Range3632.8
Interquartile range (IQR)54.7

Descriptive statistics

Standard deviation209.39337
Coefficient of variation (CV)2.6636465
Kurtosis56.223619
Mean78.611546
Median Absolute Deviation (MAD)9.8
Skewness6.2096157
Sum733288.5
Variance43845.583
MonotonicityNot monotonic
2023-12-13T05:19:37.927410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 381
 
3.8%
0.3 240
 
2.4%
0.1 181
 
1.8%
0.8 173
 
1.7%
0.2 171
 
1.7%
0.4 139
 
1.4%
1.3 132
 
1.3%
0.5 125
 
1.2%
0.6 111
 
1.1%
1.8 102
 
1.0%
Other values (2183) 7573
75.7%
(Missing) 672
 
6.7%
ValueCountFrequency (%)
0.0 381
3.8%
0.1 181
1.8%
0.2 171
1.7%
0.3 240
2.4%
0.4 139
 
1.4%
0.5 125
 
1.2%
0.6 111
 
1.1%
0.7 96
 
1.0%
0.8 173
1.7%
0.9 79
 
0.8%
ValueCountFrequency (%)
3632.8 1
< 0.1%
3031.6 1
< 0.1%
2902.0 1
< 0.1%
2887.2 1
< 0.1%
2876.1 1
< 0.1%
2682.4 1
< 0.1%
2671.4 1
< 0.1%
2577.0 1
< 0.1%
2567.2 1
< 0.1%
2467.4 1
< 0.1%

월평균급좌회전카운트
Real number (ℝ)

MISSING  ZEROS 

Distinct1701
Distinct (%)18.2%
Missing672
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean55.622631
Minimum0
Maximum10305.8
Zeros710
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:38.081573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.7
median4.7
Q326.3
95-th percentile227.8
Maximum10305.8
Range10305.8
Interquartile range (IQR)25.6

Descriptive statistics

Standard deviation243.94536
Coefficient of variation (CV)4.3857214
Kurtosis445.83904
Mean55.622631
Median Absolute Deviation (MAD)4.6
Skewness16.083217
Sum518847.9
Variance59509.34
MonotonicityNot monotonic
2023-12-13T05:19:38.225523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 710
 
7.1%
0.3 409
 
4.1%
0.1 377
 
3.8%
0.2 269
 
2.7%
0.8 204
 
2.0%
0.4 176
 
1.8%
0.5 160
 
1.6%
1.3 136
 
1.4%
0.7 128
 
1.3%
0.6 126
 
1.3%
Other values (1691) 6633
66.3%
(Missing) 672
 
6.7%
ValueCountFrequency (%)
0.0 710
7.1%
0.1 377
3.8%
0.2 269
 
2.7%
0.3 409
4.1%
0.4 176
 
1.8%
0.5 160
 
1.6%
0.6 126
 
1.3%
0.7 128
 
1.3%
0.8 204
 
2.0%
0.9 102
 
1.0%
ValueCountFrequency (%)
10305.8 1
< 0.1%
5078.3 1
< 0.1%
5071.4 1
< 0.1%
4399.3 1
< 0.1%
4362.9 1
< 0.1%
4180.0 1
< 0.1%
3825.7 1
< 0.1%
3462.3 1
< 0.1%
3393.6 1
< 0.1%
3208.3 1
< 0.1%

월평균급우회전카운트
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct1320
Distinct (%)14.2%
Missing672
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean34.749764
Minimum0
Maximum26891.7
Zeros798
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:38.390075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.6
median3.3
Q318
95-th percentile127.565
Maximum26891.7
Range26891.7
Interquartile range (IQR)17.4

Descriptive statistics

Standard deviation329.10723
Coefficient of variation (CV)9.4707758
Kurtosis4859.2639
Mean34.749764
Median Absolute Deviation (MAD)3.2
Skewness62.917728
Sum324145.8
Variance108311.57
MonotonicityNot monotonic
2023-12-13T05:19:38.524627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 798
 
8.0%
0.3 441
 
4.4%
0.1 424
 
4.2%
0.2 289
 
2.9%
0.8 246
 
2.5%
0.4 197
 
2.0%
1.3 167
 
1.7%
0.5 158
 
1.6%
0.6 139
 
1.4%
1.8 131
 
1.3%
Other values (1310) 6338
63.4%
(Missing) 672
 
6.7%
ValueCountFrequency (%)
0.0 798
8.0%
0.1 424
4.2%
0.2 289
 
2.9%
0.3 441
4.4%
0.4 197
 
2.0%
0.5 158
 
1.6%
0.6 139
 
1.4%
0.7 122
 
1.2%
0.8 246
 
2.5%
0.9 105
 
1.1%
ValueCountFrequency (%)
26891.7 1
< 0.1%
8349.0 1
< 0.1%
8318.3 1
< 0.1%
6416.8 1
< 0.1%
2966.8 1
< 0.1%
2875.3 1
< 0.1%
2020.1 1
< 0.1%
1979.7 1
< 0.1%
1912.4 1
< 0.1%
1742.6 1
< 0.1%

월평균급유턴카운트
Real number (ℝ)

MISSING  ZEROS 

Distinct1050
Distinct (%)11.3%
Missing672
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean22.392324
Minimum0
Maximum3880.2
Zeros1362
Zeros (%)13.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:38.674405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.2
median1.3
Q37.3
95-th percentile82.93
Maximum3880.2
Range3880.2
Interquartile range (IQR)7.1

Descriptive statistics

Standard deviation114.08523
Coefficient of variation (CV)5.0948366
Kurtosis296.28491
Mean22.392324
Median Absolute Deviation (MAD)1.3
Skewness14.200085
Sum208875.6
Variance13015.44
MonotonicityNot monotonic
2023-12-13T05:19:38.828971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1362
 
13.6%
0.3 649
 
6.5%
0.1 645
 
6.5%
0.2 467
 
4.7%
0.8 275
 
2.8%
0.4 247
 
2.5%
0.5 197
 
2.0%
0.6 177
 
1.8%
1.3 169
 
1.7%
0.7 169
 
1.7%
Other values (1040) 4971
49.7%
(Missing) 672
 
6.7%
ValueCountFrequency (%)
0.0 1362
13.6%
0.1 645
6.5%
0.2 467
 
4.7%
0.3 649
6.5%
0.4 247
 
2.5%
0.5 197
 
2.0%
0.6 177
 
1.8%
0.7 169
 
1.7%
0.8 275
 
2.8%
0.9 124
 
1.2%
ValueCountFrequency (%)
3880.2 1
< 0.1%
2646.3 1
< 0.1%
2505.6 1
< 0.1%
2495.4 1
< 0.1%
2246.9 1
< 0.1%
2197.1 1
< 0.1%
1751.3 1
< 0.1%
1647.7 1
< 0.1%
1615.6 1
< 0.1%
1595.4 1
< 0.1%

월평균급앞지르기카운트
Real number (ℝ)

MISSING  ZEROS 

Distinct2020
Distinct (%)21.7%
Missing672
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean61.883608
Minimum0
Maximum3256.8
Zeros564
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:39.377904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.4
median10.2
Q347.7
95-th percentile285.73
Maximum3256.8
Range3256.8
Interquartile range (IQR)46.3

Descriptive statistics

Standard deviation174.73815
Coefficient of variation (CV)2.823658
Kurtosis93.570327
Mean61.883608
Median Absolute Deviation (MAD)10
Skewness8.0435974
Sum577250.3
Variance30533.42
MonotonicityNot monotonic
2023-12-13T05:19:39.559565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 564
 
5.6%
0.3 262
 
2.6%
0.1 259
 
2.6%
0.2 207
 
2.1%
0.8 154
 
1.5%
1.3 126
 
1.3%
0.5 117
 
1.2%
0.4 106
 
1.1%
0.6 103
 
1.0%
0.7 95
 
0.9%
Other values (2010) 7335
73.4%
(Missing) 672
 
6.7%
ValueCountFrequency (%)
0.0 564
5.6%
0.1 259
2.6%
0.2 207
 
2.1%
0.3 262
2.6%
0.4 106
 
1.1%
0.5 117
 
1.2%
0.6 103
 
1.0%
0.7 95
 
0.9%
0.8 154
 
1.5%
0.9 93
 
0.9%
ValueCountFrequency (%)
3256.8 1
< 0.1%
3131.7 1
< 0.1%
2982.9 1
< 0.1%
2936.4 1
< 0.1%
2543.2 1
< 0.1%
2513.6 1
< 0.1%
2497.8 1
< 0.1%
2456.1 1
< 0.1%
2448.8 1
< 0.1%
2388.8 1
< 0.1%

월평균급진로변경카운트
Real number (ℝ)

MISSING  ZEROS 

Distinct2981
Distinct (%)32.0%
Missing672
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean154.86819
Minimum0
Maximum14497.8
Zeros400
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:39.761248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1
Q12.7
median23.6
Q3121.325
95-th percentile731.625
Maximum14497.8
Range14497.8
Interquartile range (IQR)118.625

Descriptive statistics

Standard deviation421.1638
Coefficient of variation (CV)2.7194984
Kurtosis188.79697
Mean154.86819
Median Absolute Deviation (MAD)23.2
Skewness9.3692877
Sum1444610.5
Variance177378.94
MonotonicityNot monotonic
2023-12-13T05:19:39.934772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 400
 
4.0%
0.3 226
 
2.3%
0.1 169
 
1.7%
0.2 168
 
1.7%
0.8 117
 
1.2%
0.4 115
 
1.1%
0.5 101
 
1.0%
1.3 101
 
1.0%
0.6 85
 
0.9%
1.8 73
 
0.7%
Other values (2971) 7773
77.7%
(Missing) 672
 
6.7%
ValueCountFrequency (%)
0.0 400
4.0%
0.1 169
1.7%
0.2 168
1.7%
0.3 226
2.3%
0.4 115
 
1.1%
0.5 101
 
1.0%
0.6 85
 
0.9%
0.7 70
 
0.7%
0.8 117
 
1.2%
0.9 55
 
0.5%
ValueCountFrequency (%)
14497.8 1
< 0.1%
7640.9 1
< 0.1%
6035.5 1
< 0.1%
5769.5 1
< 0.1%
5122.6 1
< 0.1%
5037.6 1
< 0.1%
4988.8 1
< 0.1%
4761.8 1
< 0.1%
4566.7 1
< 0.1%
4361.8 1
< 0.1%

월평균공회전기준시간초과카운트
Real number (ℝ)

MISSING  ZEROS 

Distinct1143
Distinct (%)12.3%
Missing672
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean27.656572
Minimum0
Maximum6417.5
Zeros516
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:40.110864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.8
median4
Q314.8
95-th percentile91.265
Maximum6417.5
Range6417.5
Interquartile range (IQR)14

Descriptive statistics

Standard deviation141.59996
Coefficient of variation (CV)5.1199389
Kurtosis624.75263
Mean27.656572
Median Absolute Deviation (MAD)3.7
Skewness19.97577
Sum257980.5
Variance20050.548
MonotonicityNot monotonic
2023-12-13T05:19:40.277006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 516
 
5.2%
0.3 421
 
4.2%
0.1 343
 
3.4%
0.2 281
 
2.8%
0.8 226
 
2.3%
0.4 185
 
1.8%
0.5 180
 
1.8%
1.3 150
 
1.5%
0.7 147
 
1.5%
0.6 146
 
1.5%
Other values (1133) 6733
67.3%
(Missing) 672
 
6.7%
ValueCountFrequency (%)
0.0 516
5.2%
0.1 343
3.4%
0.2 281
2.8%
0.3 421
4.2%
0.4 185
 
1.8%
0.5 180
 
1.8%
0.6 146
 
1.5%
0.7 147
 
1.5%
0.8 226
2.3%
0.9 105
 
1.1%
ValueCountFrequency (%)
6417.5 1
< 0.1%
3936.3 1
< 0.1%
3194.8 1
< 0.1%
2922.7 1
< 0.1%
2716.5 1
< 0.1%
2633.8 1
< 0.1%
2417.3 1
< 0.1%
2300.2 1
< 0.1%
2059.3 1
< 0.1%
1970.4 1
< 0.1%

사망자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6920 
0
2996 
1
 
79
2
 
5

Length

Max length4
Median length4
Mean length3.076
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 6920
69.2%
0 2996
30.0%
1 79
 
0.8%
2 5
 
0.1%

Length

2023-12-13T05:19:40.435209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:19:40.596319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6920
69.2%
0 2996
30.0%
1 79
 
0.8%
2 5
 
< 0.1%

중상자수
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)0.4%
Missing6920
Missing (%)69.2%
Infinite0
Infinite (%)0.0%
Mean0.73798701
Minimum0
Maximum10
Zeros1618
Zeros (%)16.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:40.758105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum10
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0482909
Coefficient of variation (CV)1.4204733
Kurtosis11.240082
Mean0.73798701
Median Absolute Deviation (MAD)0
Skewness2.4950319
Sum2273
Variance1.0989138
MonotonicityNot monotonic
2023-12-13T05:19:40.917166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 1618
 
16.2%
1 963
 
9.6%
2 311
 
3.1%
3 130
 
1.3%
4 30
 
0.3%
5 12
 
0.1%
6 7
 
0.1%
8 3
 
< 0.1%
9 2
 
< 0.1%
10 2
 
< 0.1%
(Missing) 6920
69.2%
ValueCountFrequency (%)
0 1618
16.2%
1 963
9.6%
2 311
 
3.1%
3 130
 
1.3%
4 30
 
0.3%
5 12
 
0.1%
6 7
 
0.1%
7 2
 
< 0.1%
8 3
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
10 2
 
< 0.1%
9 2
 
< 0.1%
8 3
 
< 0.1%
7 2
 
< 0.1%
6 7
 
0.1%
5 12
 
0.1%
4 30
 
0.3%
3 130
 
1.3%
2 311
 
3.1%
1 963
9.6%

경상자수
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)0.7%
Missing6920
Missing (%)69.2%
Infinite0
Infinite (%)0.0%
Mean2.0538961
Minimum0
Maximum29
Zeros616
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:41.056326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q33
95-th percentile7
Maximum29
Range29
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.3421975
Coefficient of variation (CV)1.1403681
Kurtosis15.687286
Mean2.0538961
Median Absolute Deviation (MAD)1
Skewness2.906389
Sum6326
Variance5.4858893
MonotonicityNot monotonic
2023-12-13T05:19:41.204861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1087
 
10.9%
0 616
 
6.2%
2 529
 
5.3%
3 314
 
3.1%
4 174
 
1.7%
5 130
 
1.3%
6 73
 
0.7%
7 53
 
0.5%
8 38
 
0.4%
9 19
 
0.2%
Other values (12) 47
 
0.5%
(Missing) 6920
69.2%
ValueCountFrequency (%)
0 616
6.2%
1 1087
10.9%
2 529
5.3%
3 314
 
3.1%
4 174
 
1.7%
5 130
 
1.3%
6 73
 
0.7%
7 53
 
0.5%
8 38
 
0.4%
9 19
 
0.2%
ValueCountFrequency (%)
29 1
 
< 0.1%
24 1
 
< 0.1%
22 1
 
< 0.1%
20 1
 
< 0.1%
19 1
 
< 0.1%
17 1
 
< 0.1%
15 2
 
< 0.1%
14 5
0.1%
13 6
0.1%
12 5
0.1%

부상자수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)0.2%
Missing6920
Missing (%)69.2%
Infinite0
Infinite (%)0.0%
Mean0.25974026
Minimum0
Maximum7
Zeros2466
Zeros (%)24.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:41.349140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.60746888
Coefficient of variation (CV)2.3387552
Kurtosis15.587717
Mean0.25974026
Median Absolute Deviation (MAD)0
Skewness3.2687637
Sum800
Variance0.36901845
MonotonicityNot monotonic
2023-12-13T05:19:41.486958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 2466
 
24.7%
1 486
 
4.9%
2 89
 
0.9%
3 26
 
0.3%
4 9
 
0.1%
5 3
 
< 0.1%
7 1
 
< 0.1%
(Missing) 6920
69.2%
ValueCountFrequency (%)
0 2466
24.7%
1 486
 
4.9%
2 89
 
0.9%
3 26
 
0.3%
4 9
 
0.1%
5 3
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
7 1
 
< 0.1%
5 3
 
< 0.1%
4 9
 
0.1%
3 26
 
0.3%
2 89
 
0.9%
1 486
 
4.9%
0 2466
24.7%

사고카운트
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)0.5%
Missing6920
Missing (%)69.2%
Infinite0
Infinite (%)0.0%
Mean2.1519481
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:41.616807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile6
Maximum19
Range18
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.7729966
Coefficient of variation (CV)0.82390305
Kurtosis11.235892
Mean2.1519481
Median Absolute Deviation (MAD)0
Skewness2.6970553
Sum6628
Variance3.1435168
MonotonicityNot monotonic
2023-12-13T05:19:41.754029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1 1546
 
15.5%
2 706
 
7.1%
3 355
 
3.5%
4 192
 
1.9%
5 116
 
1.2%
6 71
 
0.7%
7 34
 
0.3%
8 22
 
0.2%
9 12
 
0.1%
11 9
 
0.1%
Other values (6) 17
 
0.2%
(Missing) 6920
69.2%
ValueCountFrequency (%)
1 1546
15.5%
2 706
7.1%
3 355
 
3.5%
4 192
 
1.9%
5 116
 
1.2%
6 71
 
0.7%
7 34
 
0.3%
8 22
 
0.2%
9 12
 
0.1%
10 7
 
0.1%
ValueCountFrequency (%)
19 1
 
< 0.1%
18 1
 
< 0.1%
14 1
 
< 0.1%
13 5
 
0.1%
12 2
 
< 0.1%
11 9
 
0.1%
10 7
 
0.1%
9 12
 
0.1%
8 22
0.2%
7 34
0.3%

구간길이_대물피해환산
Real number (ℝ)

MISSING 

Distinct3154
Distinct (%)99.9%
Missing6843
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean28.826854
Minimum0.36086674
Maximum675.98745
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:41.921897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.36086674
5-th percentile4.5992951
Q110.619788
median19.675865
Q335.714111
95-th percentile84.717913
Maximum675.98745
Range675.62658
Interquartile range (IQR)25.094323

Descriptive statistics

Standard deviation31.403829
Coefficient of variation (CV)1.089395
Kurtosis71.85387
Mean28.826854
Median Absolute Deviation (MAD)10.82819
Skewness5.4331383
Sum91006.377
Variance986.20046
MonotonicityNot monotonic
2023-12-13T05:19:42.098359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.82196852 2
 
< 0.1%
15.24566503 2
 
< 0.1%
11.56745492 2
 
< 0.1%
84.71575454 1
 
< 0.1%
30.52108757 1
 
< 0.1%
9.057322882 1
 
< 0.1%
44.5913368 1
 
< 0.1%
7.377174319 1
 
< 0.1%
7.01022125 1
 
< 0.1%
12.40830661 1
 
< 0.1%
Other values (3144) 3144
31.4%
(Missing) 6843
68.4%
ValueCountFrequency (%)
0.360866736 1
< 0.1%
0.388211785 1
< 0.1%
0.416022268 1
< 0.1%
0.667859539 1
< 0.1%
0.863801389 1
< 0.1%
0.991364383 1
< 0.1%
1.054492592 1
< 0.1%
1.094235343 1
< 0.1%
1.128836568 1
< 0.1%
1.138554767 1
< 0.1%
ValueCountFrequency (%)
675.9874499 1
< 0.1%
400.9373996 1
< 0.1%
303.8780944 1
< 0.1%
292.2915941 1
< 0.1%
268.2131796 1
< 0.1%
267.2019897 1
< 0.1%
244.9329497 1
< 0.1%
220.279212 1
< 0.1%
219.0733077 1
< 0.1%
192.1521391 1
< 0.1%

사고_대물피해환산
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)1.7%
Missing6843
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean8.7047513
Minimum3
Maximum85.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:42.298483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median6
Q312
95-th percentile24
Maximum85.5
Range82.5
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.5461125
Coefficient of variation (CV)0.86689582
Kurtosis8.3796103
Mean8.7047513
Median Absolute Deviation (MAD)3
Skewness2.2567903
Sum27480.9
Variance56.943815
MonotonicityNot monotonic
2023-12-13T05:19:42.474963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.0 1212
 
12.1%
6.0 630
 
6.3%
9.0 389
 
3.9%
12.0 252
 
2.5%
15.0 183
 
1.8%
18.0 123
 
1.2%
21.0 77
 
0.8%
24.0 50
 
0.5%
27.0 38
 
0.4%
13.5 24
 
0.2%
Other values (43) 179
 
1.8%
(Missing) 6843
68.4%
ValueCountFrequency (%)
3.0 1212
12.1%
4.5 13
 
0.1%
6.0 630
6.3%
7.5 15
 
0.1%
9.0 389
 
3.9%
10.0 3
 
< 0.1%
10.5 11
 
0.1%
11.25 1
 
< 0.1%
12.0 252
 
2.5%
13.5 24
 
0.2%
ValueCountFrequency (%)
85.5 1
 
< 0.1%
57.0 1
 
< 0.1%
55.5 1
 
< 0.1%
52.5 2
< 0.1%
51.0 1
 
< 0.1%
50.5 1
 
< 0.1%
49.5 2
< 0.1%
48.0 1
 
< 0.1%
46.0 1
 
< 0.1%
45.0 4
< 0.1%

대물피해환산
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)0.9%
Missing6843
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean9.7003484
Minimum3
Maximum123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:42.632182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median6
Q312
95-th percentile27
Maximum123
Range120
Interquartile range (IQR)9

Descriptive statistics

Standard deviation9.7607717
Coefficient of variation (CV)1.006229
Kurtosis18.639941
Mean9.7003484
Median Absolute Deviation (MAD)3
Skewness3.2498422
Sum30624
Variance95.272665
MonotonicityNot monotonic
2023-12-13T05:19:42.793631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
3 1171
 
11.7%
6 631
 
6.3%
9 388
 
3.9%
12 271
 
2.7%
15 185
 
1.8%
18 127
 
1.3%
21 111
 
1.1%
24 83
 
0.8%
27 52
 
0.5%
30 34
 
0.3%
Other values (18) 104
 
1.0%
(Missing) 6843
68.4%
ValueCountFrequency (%)
3 1171
11.7%
6 631
6.3%
9 388
 
3.9%
12 271
 
2.7%
15 185
 
1.8%
18 127
 
1.3%
21 111
 
1.1%
24 83
 
0.8%
27 52
 
0.5%
30 34
 
0.3%
ValueCountFrequency (%)
123 1
 
< 0.1%
105 1
 
< 0.1%
96 2
< 0.1%
78 2
< 0.1%
75 1
 
< 0.1%
69 1
 
< 0.1%
66 3
< 0.1%
63 2
< 0.1%
60 2
< 0.1%
57 4
< 0.1%

월평균운행평균속도
Real number (ℝ)

MISSING 

Distinct719
Distinct (%)8.3%
Missing1358
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean27.290893
Minimum4.2
Maximum96.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:42.953830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.2
5-th percentile14.2
Q118.9
median23.4
Q331.2
95-th percentile55.8
Maximum96.1
Range91.9
Interquartile range (IQR)12.3

Descriptive statistics

Standard deviation13.122425
Coefficient of variation (CV)0.48083529
Kurtosis4.2003928
Mean27.290893
Median Absolute Deviation (MAD)5.4
Skewness1.8756295
Sum235847.9
Variance172.19803
MonotonicityNot monotonic
2023-12-13T05:19:43.133103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22.1 65
 
0.7%
20.5 64
 
0.6%
17.2 62
 
0.6%
21.5 61
 
0.6%
21.0 61
 
0.6%
19.1 59
 
0.6%
18.9 57
 
0.6%
19.2 56
 
0.6%
19.6 54
 
0.5%
19.0 54
 
0.5%
Other values (709) 8049
80.5%
(Missing) 1358
 
13.6%
ValueCountFrequency (%)
4.2 1
< 0.1%
5.0 2
< 0.1%
5.2 1
< 0.1%
5.4 1
< 0.1%
5.9 1
< 0.1%
6.1 1
< 0.1%
6.3 2
< 0.1%
6.4 1
< 0.1%
6.7 2
< 0.1%
6.8 2
< 0.1%
ValueCountFrequency (%)
96.1 1
< 0.1%
93.2 2
< 0.1%
92.1 1
< 0.1%
92.0 2
< 0.1%
91.5 1
< 0.1%
90.9 2
< 0.1%
90.6 1
< 0.1%
90.5 2
< 0.1%
89.6 2
< 0.1%
89.4 2
< 0.1%

월평균운행차량대수
Real number (ℝ)

MISSING 

Distinct7334
Distinct (%)84.9%
Missing1358
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean13365.221
Minimum2
Maximum136956
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:19:43.271757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile489.05
Q13326.75
median8617.5
Q318136.75
95-th percentile43031.05
Maximum136956
Range136954
Interquartile range (IQR)14810

Descriptive statistics

Standard deviation14730.12
Coefficient of variation (CV)1.1021232
Kurtosis8.4554166
Mean13365.221
Median Absolute Deviation (MAD)6371
Skewness2.3843967
Sum1.1550224 × 108
Variance2.1697643 × 108
MonotonicityNot monotonic
2023-12-13T05:19:43.435244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3243 5
 
0.1%
2359 5
 
0.1%
119 5
 
0.1%
923 4
 
< 0.1%
787 4
 
< 0.1%
200 4
 
< 0.1%
1304 4
 
< 0.1%
11007 4
 
< 0.1%
555 4
 
< 0.1%
791 4
 
< 0.1%
Other values (7324) 8599
86.0%
(Missing) 1358
 
13.6%
ValueCountFrequency (%)
2 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
9 1
< 0.1%
12 1
< 0.1%
15 1
< 0.1%
17 2
< 0.1%
19 1
< 0.1%
20 1
< 0.1%
21 1
< 0.1%
ValueCountFrequency (%)
136956 1
< 0.1%
134418 1
< 0.1%
129537 1
< 0.1%
128936 1
< 0.1%
117988 1
< 0.1%
112867 1
< 0.1%
112774 1
< 0.1%
112440 1
< 0.1%
111677 1
< 0.1%
106105 1
< 0.1%

Sample

기준년도링크 계정도로등급회귀상수회귀계수교통량회귀계수구간길이회귀계수위험운전행동차량회귀확산도도로위험수준도로위험순위도로안전등급도로참조집단위험수준지수(psi)권역도로위험순위권역지수(psi)순위월평균운행속도통행시간지수계획통행시간지수월평균20km이상과속카운트월평균40km이상과속카운트월평균60km이상과속카운트월평균장기과속카운트월평균급가속카운트월평균급출발카운트월평균급감속카운트월평균급정지카운트월평균급좌회전카운트월평균급우회전카운트월평균급유턴카운트월평균급앞지르기카운트월평균급진로변경카운트월평균공회전기준시간초과카운트사망자수중상자수경상자수부상자수사고카운트구간길이_대물피해환산사고_대물피해환산대물피해환산월평균운행평균속도월평균운행차량대수
3588920181570603500107-14.4552920.3199650.6463770.627923.195337-0.002914123073A0.0029141.0251<NA><NA><NA>0.00.00.000.70.00.00.00.00.00.00.00.00.7<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4074020181650047800104-14.9083720.3243610.6411740.6524061.846572-1.0171056046A1.0171050.3448193818.9845811.6055537.672122.10.10.001526.4238.8248.292.8286.51.41.310.311.17.9<NA><NA><NA><NA><NA><NA><NA><NA>19.311766
162620181020011803107-14.4552920.3199650.6463770.627923.195337-0.84392117617A0.8439210.3819641313.9233694.38196122.2567261.10.10.00380.039.181.342.86.05.61.816.921.3833.5<NA><NA><NA><NA><NA><NA><NA><NA>15.56619
493620181070007801104-14.9083720.3243610.6411740.6524061.8465722.74777638717B2.252224-1.0113976730.2631521.9371747.85373696.224.518.30827.8126.6223.826.3138.3125.447.0213.1576.42.00020236.3935876.0630.654937
3746620181610152300104-14.9083720.3243610.6411740.6524061.846572-0.07443820573A0.0744380.99948768<NA><NA><NA>0.90.30.201.85.81.20.81.02.90.00.10.10.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1476420181180047400107-14.4552920.3199650.6463770.627923.195337-0.1523256485A0.152320.9539940531.9847821.9975288.8922391.44.00.2012.90.715.81.40.40.51.13.65.91.9<NA><NA><NA><NA><NA><NA><NA><NA>31.72779
1916520181230016203107-14.4552920.3199650.6463770.627923.1953370.716361155883B3.283639-2.17657113017.5736454.09005317.955892151.38.91.301189.2229.9220.497.1589.352.5123.847.7161.865.70022246.00122612.01223.311060
2883520181440046800104-14.9083720.3243610.6411740.6524061.846572-0.14376317250A0.1437630.973558723.5316972.31841821.9771899.81.30.1021.20.84.91.95.25.21.56.29.31.2<NA><NA><NA><NA><NA><NA><NA><NA>24.97165
2451720181390023900104-14.9083720.3243610.6411740.6524061.846572-1.653593774A1.65359-0.2513840532.0901971.9136196.510146126.83.30.301086.036.3350.970.613.723.46.4121.2313.54.60211262.96796312.01232.844471
2968120181450337500105-14.2565020.2876580.5188530.6654873.248447-0.2746072625A0.2746070.874890377.3807821.0501251.50828262.64.30.2049.41.238.83.70.20.80.11.38.72.8000114.78633.0377.04558
기준년도링크 계정도로등급회귀상수회귀계수교통량회귀계수구간길이회귀계수위험운전행동차량회귀확산도도로위험수준도로위험순위도로안전등급도로참조집단위험수준지수(psi)권역도로위험순위권역지수(psi)순위월평균운행속도통행시간지수계획통행시간지수월평균20km이상과속카운트월평균40km이상과속카운트월평균60km이상과속카운트월평균장기과속카운트월평균급가속카운트월평균급출발카운트월평균급감속카운트월평균급정지카운트월평균급좌회전카운트월평균급우회전카운트월평균급유턴카운트월평균급앞지르기카운트월평균급진로변경카운트월평균공회전기준시간초과카운트사망자수중상자수경상자수부상자수사고카운트구간길이_대물피해환산사고_대물피해환산대물피해환산월평균운행평균속도월평균운행차량대수
282320181030050000104-14.9083720.3243610.6411740.6524061.846572-0.00034133124A0.0003411.090120.9684821.70056715.476113<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19.72285
1779420181220023002107-14.4552920.3199650.6463770.627923.1953373.75788164692B1.24212-0.1976492326.2954622.46384613.84190616.40.70.10722.9111.567.815.3110.2128.580.1124.3425.916.60110234.8503246.0624.222419
1979220181230068000104-14.9083720.3243610.6411740.6524061.8465722.85102938814D0.148971-0.613293340.4354620.7790561.8979181.80.10.0072.81.120.72.20.81.30.30.52.01.20010115.4894983.0336.21796
1034320181140019306107-14.4552920.3199650.6463770.627923.195337-0.53132326566B2.531323-1.4755379613.8467084.3685719.40504231.21.80.401741.2174.9271.3110.337.638.24.5151.1269.612.5<NA><NA><NA><NA><NA><NA><NA><NA>14.521226
929420181130011003107-14.4552920.3199650.6463770.627923.195337-0.000895128408A0.0008951.0539114.6179164.6810419.103561<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>15.214267
632120181090006304107-14.4552920.3199650.6463770.627923.1953370.93576157673D0.064240.1647539014.3449794.41355710.1696340.00.00.0028.72.62.71.36.53.41.31.30.30.8<NA><NA><NA><NA><NA><NA><NA><NA>13.35742
4021220181640249700103-14.3759320.2595490.4943780.7247352.696436-3.1454591082A3.145459-1.81121292<NA><NA><NA>675.2130.812.60782.688.8359.0191.419.425.07.120.5392.71.2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3707320181610113200104-14.9083720.3243610.6411740.6524061.846572-0.5329749608A0.5329740.742841376<NA><NA><NA>448.328.20.50367.66.2221.9203.92.64.80.619.0161.21.10120116.7851289.09<NA><NA>
4033120181650012300104-14.9083720.3243610.6411740.6524061.846572-1.7313353572A1.731335-0.32308117225.4061082.55070218.7987882.70.40.10223.715.692.565.22.83.00.550.872.85.3<NA><NA><NA><NA><NA><NA><NA><NA>26.66689
2849920181440012400104-14.9083720.3243610.6411740.6524061.8465722.0988438093B2.90116-1.642141932.2635731.9400737.536504136.55.41.801428.8134.4313.393.39.418.12.8102.6286.122.0002027.4848983.0632.610523