Overview

Dataset statistics

Number of variables98
Number of observations6493
Missing cells129175
Missing cells (%)20.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 MiB
Average record size in memory875.0 B

Variable types

Numeric73
Categorical20
Text5

Dataset

Description수송_관자가용 부문의 에너지소비 행태 및 에너지원단위를 추정하여 국가 에너지, 온실가스 정책수립에 필요한 기초자료를 제공
Author한국에너지공단
URLhttps://www.data.go.kr/data/15105884/fileData.do

Alerts

현재 거주지 주변 충전 인프라 여부(기타) has constant value ""Constant
등록형태 is highly imbalanced (70.2%)Imbalance
차량 구매 상태 is highly imbalanced (62.4%)Imbalance
출퇴근용사용여부 is highly imbalanced (57.8%)Imbalance
고유가 대응 방법(기타) is highly imbalanced (98.8%)Imbalance
추가1 사용연료-하이브리드 is highly imbalanced (97.7%)Imbalance
추가2 차종(퍼센트)(기타) is highly imbalanced (95.9%)Imbalance
추가2 사용연료-하이브리드 is highly imbalanced (99.5%)Imbalance
주차장 확보여부 is highly imbalanced (51.4%)Imbalance
배기량 has 2897 (44.6%) missing valuesMissing
승차정원 has 5407 (83.3%) missing valuesMissing
최대 적재량 has 5001 (77.0%) missing valuesMissing
차량 중고 구매(양도) 년 has 5561 (85.6%) missing valuesMissing
차량 중고 구매(양도) 월 has 5560 (85.6%) missing valuesMissing
중고차 구매당시의 차량 총 주행거리 has 5561 (85.6%) missing valuesMissing
1회평균구입비용 has 1461 (22.5%) missing valuesMissing
주중 평균 주행거리 has 177 (2.7%) missing valuesMissing
주말 평균 주행거리 has 333 (5.1%) missing valuesMissing
차교체시고려기준1순위 has 3257 (50.2%) missing valuesMissing
차교체시고려기준2순위 has 3438 (52.9%) missing valuesMissing
차교체시고려기준(기타) has 6489 (99.9%) missing valuesMissing
향후 희망하는 차량형태 has 3257 (50.2%) missing valuesMissing
향후 희망하는 사용연료 has 3257 (50.2%) missing valuesMissing
친환경 차량 선택 이유(퍼센트)1순위 has 5194 (80.0%) missing valuesMissing
친환경 차량 선택 이유(퍼센트)2순위 has 5261 (81.0%) missing valuesMissing
친환경 차량 선택 이유(퍼센트)3순위 has 5550 (85.5%) missing valuesMissing
친환경 차량 선택 이유(퍼센트)(기타) has 6489 (99.9%) missing valuesMissing
친환경 차량 선택하지 않은 이유 has 4556 (70.2%) missing valuesMissing
현재 거주지 주변 충전 인프라 여부 has 5888 (90.7%) missing valuesMissing
현재 거주지 주변 충전 인프라 여부(기타) has 6492 (> 99.9%) missing valuesMissing
추가1 차종(퍼센트)(기타) has 5587 (86.0%) missing valuesMissing
추가1 사용연료 has 3696 (56.9%) missing valuesMissing
추가2 차종 has 6211 (95.7%) missing valuesMissing
추가2 사용연료 has 6212 (95.7%) missing valuesMissing
추가1 사용비중(퍼센트) has 3694 (56.9%) missing valuesMissing
추가2 사용비중(퍼센트) has 6211 (95.7%) missing valuesMissing
주차장 확보여부(기타) has 6478 (99.8%) missing valuesMissing
번호 has unique valuesUnique
응답주행연비 has 2485 (38.3%) zerosZeros
최종주행연비 has 2485 (38.3%) zerosZeros
출퇴근편도주행거리 has 3894 (60.0%) zerosZeros
출퇴근용(퍼센트) has 3898 (60.0%) zerosZeros
사업용(퍼센트) has 5227 (80.5%) zerosZeros
레저 및 장거리 여행용(퍼센트) has 4290 (66.1%) zerosZeros
가정일상 생활용(퍼센트) has 3677 (56.6%) zerosZeros
기타(퍼센트)(퍼센트) has 6108 (94.1%) zerosZeros
주중 평균 주행거리 has 3150 (48.5%) zerosZeros
주중 06시 - 09시(퍼센트) has 4212 (64.9%) zerosZeros
주중 09시 - 12시(퍼센트) has 5131 (79.0%) zerosZeros
주중 12시 - 15시(퍼센트) has 5283 (81.4%) zerosZeros
주중 15시 - 18시(퍼센트) has 4890 (75.3%) zerosZeros
주중 18시 - 21시(퍼센트) has 3870 (59.6%) zerosZeros
주중 21시 - 24시(퍼센트) has 5539 (85.3%) zerosZeros
주중 24시 - 06시(퍼센트) has 6297 (97.0%) zerosZeros
주말 평균 주행거리 has 3150 (48.5%) zerosZeros
주말 06시 - 09시(퍼센트) has 5645 (86.9%) zerosZeros
주말 09시 - 12시(퍼센트) has 4427 (68.2%) zerosZeros
주말 12시 - 15시(퍼센트) has 4505 (69.4%) zerosZeros
주말 15시 - 18시(퍼센트) has 4549 (70.1%) zerosZeros
주말 18시 - 21시(퍼센트) has 4398 (67.7%) zerosZeros
주말 21시 - 24시(퍼센트) has 5404 (83.2%) zerosZeros
주말 24시 - 06시(퍼센트) has 6288 (96.8%) zerosZeros
고유가대응1순위 has 3310 (51.0%) zerosZeros
고유가대응2순위 has 3806 (58.6%) zerosZeros
고유가대응3순위 has 4579 (70.5%) zerosZeros
추가1 사용비중(퍼센트) has 74 (1.1%) zerosZeros
대중교통 이용 비중(퍼센트) has 3193 (49.2%) zerosZeros

Reproduction

Analysis started2023-12-12 18:25:57.217165
Analysis finished2023-12-12 18:25:58.941549
Duration1.72 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct6493
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27597905
Minimum7000079
Maximum80000004
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:25:59.019480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7000079
5-th percentile8027238.8
Q121837534
median21943514
Q322233209
95-th percentile70641289
Maximum80000004
Range72999925
Interquartile range (IQR)395675

Descriptive statistics

Standard deviation17268939
Coefficient of variation (CV)0.62573367
Kurtosis2.2732599
Mean27597905
Median Absolute Deviation (MAD)204720
Skewness1.9398981
Sum1.791932 × 1011
Variance2.9821625 × 1014
MonotonicityStrictly increasing
2023-12-13T03:25:59.208086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7000079 1
 
< 0.1%
22168399 1
 
< 0.1%
22168678 1
 
< 0.1%
22168665 1
 
< 0.1%
22168623 1
 
< 0.1%
22168600 1
 
< 0.1%
22168559 1
 
< 0.1%
22168505 1
 
< 0.1%
22168492 1
 
< 0.1%
22168452 1
 
< 0.1%
Other values (6483) 6483
99.8%
ValueCountFrequency (%)
7000079 1
< 0.1%
7000640 1
< 0.1%
7001188 1
< 0.1%
7001612 1
< 0.1%
7002292 1
< 0.1%
7004261 1
< 0.1%
7004431 1
< 0.1%
7004927 1
< 0.1%
7005040 1
< 0.1%
7005095 1
< 0.1%
ValueCountFrequency (%)
80000004 1
< 0.1%
80000003 1
< 0.1%
80000002 1
< 0.1%
80000001 1
< 0.1%
71003987 1
< 0.1%
71003451 1
< 0.1%
71001745 1
< 0.1%
71001520 1
< 0.1%
70993430 1
< 0.1%
70992363 1
< 0.1%
Distinct17
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.3006314
Minimum1
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:25:59.344280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median8
Q312
95-th percentile16
Maximum17
Range16
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.8441383
Coefficient of variation (CV)0.58358672
Kurtosis-1.1863047
Mean8.3006314
Median Absolute Deviation (MAD)4
Skewness0.082941166
Sum53896
Variance23.465676
MonotonicityNot monotonic
2023-12-13T03:25:59.520454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2 564
 
8.7%
1 553
 
8.5%
8 510
 
7.9%
7 429
 
6.6%
6 398
 
6.1%
13 393
 
6.1%
4 386
 
5.9%
15 381
 
5.9%
10 379
 
5.8%
11 368
 
5.7%
Other values (7) 2132
32.8%
ValueCountFrequency (%)
1 553
8.5%
2 564
8.7%
3 322
5.0%
4 386
5.9%
5 286
4.4%
6 398
6.1%
7 429
6.6%
8 510
7.9%
9 342
5.3%
10 379
5.8%
ValueCountFrequency (%)
17 200
 
3.1%
16 291
4.5%
15 381
5.9%
14 358
5.5%
13 393
6.1%
12 333
5.1%
11 368
5.7%
10 379
5.8%
9 342
5.3%
8 510
7.9%

차종
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size50.9 KiB
1
2175 
4
1492 
2
1168 
3
1086 
5
572 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 2175
33.5%
4 1492
23.0%
2 1168
18.0%
3 1086
16.7%
5 572
 
8.8%

Length

2023-12-13T03:25:59.695267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:25:59.807924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 2175
33.5%
4 1492
23.0%
2 1168
18.0%
3 1086
16.7%
5 572
 
8.8%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size50.9 KiB
<NA>
5001 
1
917 
2
 
298
3
 
277

Length

Max length4
Median length4
Mean length3.3106422
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5001
77.0%
1 917
 
14.1%
2 298
 
4.6%
3 277
 
4.3%

Length

2023-12-13T03:25:59.958308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:26:00.112422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5001
77.0%
1 917
 
14.1%
2 298
 
4.6%
3 277
 
4.3%

출고연도
Real number (ℝ)

Distinct29
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2013.5213
Minimum1983
Maximum2018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:00.228535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1983
5-th percentile2005
Q12011
median2015
Q32017
95-th percentile2018
Maximum2018
Range35
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.3564652
Coefficient of variation (CV)0.0021636052
Kurtosis2.0897142
Mean2013.5213
Median Absolute Deviation (MAD)3
Skewness-1.352658
Sum13073794
Variance18.978789
MonotonicityNot monotonic
2023-12-13T03:26:00.389897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2018 1138
17.5%
2017 829
12.8%
2015 779
12.0%
2016 696
10.7%
2014 517
8.0%
2013 419
 
6.5%
2012 400
 
6.2%
2010 364
 
5.6%
2011 291
 
4.5%
2009 254
 
3.9%
Other values (19) 806
12.4%
ValueCountFrequency (%)
1983 1
 
< 0.1%
1990 2
 
< 0.1%
1992 1
 
< 0.1%
1993 1
 
< 0.1%
1994 5
 
0.1%
1995 3
 
< 0.1%
1996 4
 
0.1%
1997 8
 
0.1%
1998 11
0.2%
1999 21
0.3%
ValueCountFrequency (%)
2018 1138
17.5%
2017 829
12.8%
2016 696
10.7%
2015 779
12.0%
2014 517
8.0%
2013 419
 
6.5%
2012 400
 
6.2%
2011 291
 
4.5%
2010 364
 
5.6%
2009 254
 
3.9%

출고월
Real number (ℝ)

Distinct12
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.257046
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:00.543020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.2806681
Coefficient of variation (CV)0.52431581
Kurtosis-1.1024181
Mean6.257046
Median Absolute Deviation (MAD)3
Skewness0.21945628
Sum40627
Variance10.762783
MonotonicityNot monotonic
2023-12-13T03:26:00.701396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
5 967
14.9%
3 736
11.3%
10 594
9.1%
4 578
8.9%
6 576
8.9%
2 492
7.6%
12 480
7.4%
7 459
7.1%
9 454
7.0%
11 410
6.3%
Other values (2) 747
11.5%
ValueCountFrequency (%)
1 379
 
5.8%
2 492
7.6%
3 736
11.3%
4 578
8.9%
5 967
14.9%
6 576
8.9%
7 459
7.1%
8 368
 
5.7%
9 454
7.0%
10 594
9.1%
ValueCountFrequency (%)
12 480
7.4%
11 410
6.3%
10 594
9.1%
9 454
7.0%
8 368
 
5.7%
7 459
7.1%
6 576
8.9%
5 967
14.9%
4 578
8.9%
3 736
11.3%

배기량
Real number (ℝ)

MISSING 

Distinct247
Distinct (%)6.9%
Missing2897
Missing (%)44.6%
Infinite0
Infinite (%)0.0%
Mean1668.7127
Minimum45
Maximum6000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:00.944580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45
5-th percentile90
Q11336.5
median1991
Q32151
95-th percentile3000
Maximum6000
Range5955
Interquartile range (IQR)814.5

Descriptive statistics

Standard deviation846.88456
Coefficient of variation (CV)0.5075077
Kurtosis0.12307581
Mean1668.7127
Median Absolute Deviation (MAD)492
Skewness-0.2772765
Sum6000691
Variance717213.46
MonotonicityNot monotonic
2023-12-13T03:26:01.106334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1998 328
 
5.1%
1999 203
 
3.1%
2000 183
 
2.8%
1600 136
 
2.1%
1491 126
 
1.9%
1995 119
 
1.8%
49 106
 
1.6%
125 103
 
1.6%
2200 103
 
1.6%
1499 101
 
1.6%
Other values (237) 2088
32.2%
(Missing) 2897
44.6%
ValueCountFrequency (%)
45 10
 
0.2%
49 106
1.6%
50 29
 
0.4%
55 1
 
< 0.1%
70 3
 
< 0.1%
72 4
 
0.1%
80 25
 
0.4%
90 5
 
0.1%
96 1
 
< 0.1%
98 4
 
0.1%
ValueCountFrequency (%)
6000 1
 
< 0.1%
5038 3
 
< 0.1%
4500 1
 
< 0.1%
4000 1
 
< 0.1%
3800 5
0.1%
3778 8
0.1%
3764 1
 
< 0.1%
3700 2
 
< 0.1%
3696 1
 
< 0.1%
3598 1
 
< 0.1%

승차정원
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)3.1%
Missing5407
Missing (%)83.3%
Infinite0
Infinite (%)0.0%
Mean21.617864
Minimum11
Maximum67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:01.279781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile11
Q112
median16
Q333.75
95-th percentile45
Maximum67
Range56
Interquartile range (IQR)21.75

Descriptive statistics

Standard deviation12.012605
Coefficient of variation (CV)0.55567957
Kurtosis-0.74719684
Mean21.617864
Median Absolute Deviation (MAD)5
Skewness0.79510813
Sum23477
Variance144.30269
MonotonicityNot monotonic
2023-12-13T03:26:01.459712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
12 287
 
4.4%
11 237
 
3.7%
25 138
 
2.1%
35 73
 
1.1%
45 69
 
1.1%
16 63
 
1.0%
34 24
 
0.4%
40 24
 
0.4%
39 21
 
0.3%
20 21
 
0.3%
Other values (24) 129
 
2.0%
(Missing) 5407
83.3%
ValueCountFrequency (%)
11 237
3.7%
12 287
4.4%
14 5
 
0.1%
16 63
 
1.0%
17 2
 
< 0.1%
18 4
 
0.1%
19 3
 
< 0.1%
20 21
 
0.3%
21 7
 
0.1%
22 1
 
< 0.1%
ValueCountFrequency (%)
67 1
 
< 0.1%
47 11
 
0.2%
46 8
 
0.1%
45 69
1.1%
44 2
 
< 0.1%
43 5
 
0.1%
42 12
 
0.2%
41 3
 
< 0.1%
40 24
 
0.4%
39 21
 
0.3%

최대 적재량
Real number (ℝ)

MISSING 

Distinct44
Distinct (%)2.9%
Missing5001
Missing (%)77.0%
Infinite0
Infinite (%)0.0%
Mean3.5860255
Minimum0.4
Maximum25.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:01.630246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.4
5-th percentile1
Q11
median1.2
Q34.5
95-th percentile14.45
Maximum25.5
Range25.1
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation4.4619842
Coefficient of variation (CV)1.2442701
Kurtosis8.4431325
Mean3.5860255
Median Absolute Deviation (MAD)0.4
Skewness2.72754
Sum5350.35
Variance19.909303
MonotonicityNot monotonic
2023-12-13T03:26:02.159002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
1.0 694
 
10.7%
2.5 178
 
2.7%
4.5 111
 
1.7%
5.0 102
 
1.6%
3.5 82
 
1.3%
15.0 38
 
0.6%
1.2 32
 
0.5%
8.5 27
 
0.4%
11.0 23
 
0.4%
8.0 20
 
0.3%
Other values (34) 185
 
2.8%
(Missing) 5001
77.0%
ValueCountFrequency (%)
0.4 7
 
0.1%
0.5 5
 
0.1%
0.55 1
 
< 0.1%
0.7 2
 
< 0.1%
0.8 4
 
0.1%
0.9 2
 
< 0.1%
1.0 694
10.7%
1.2 32
 
0.5%
1.3 2
 
< 0.1%
1.4 13
 
0.2%
ValueCountFrequency (%)
25.5 7
 
0.1%
25.0 13
 
0.2%
24.0 5
 
0.1%
22.5 1
 
< 0.1%
19.0 2
 
< 0.1%
18.0 6
 
0.1%
16.0 3
 
< 0.1%
15.0 38
0.6%
14.0 8
 
0.1%
12.5 1
 
< 0.1%

변속장치
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size50.9 KiB
1
4839 
2
1395 
3
 
145
4
 
114

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 4839
74.5%
2 1395
 
21.5%
3 145
 
2.2%
4 114
 
1.8%

Length

2023-12-13T03:26:02.307163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:26:02.463905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4839
74.5%
2 1395
 
21.5%
3 145
 
2.2%
4 114
 
1.8%

사용연료
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8225782
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:02.602125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.88106756
Coefficient of variation (CV)0.48341826
Kurtosis7.6442936
Mean1.8225782
Median Absolute Deviation (MAD)0
Skewness2.1304241
Sum11834
Variance0.77628004
MonotonicityNot monotonic
2023-12-13T03:26:02.758164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 3543
54.6%
1 2332
35.9%
4 293
 
4.5%
3 239
 
3.7%
6 49
 
0.8%
7 24
 
0.4%
5 13
 
0.2%
ValueCountFrequency (%)
1 2332
35.9%
2 3543
54.6%
3 239
 
3.7%
4 293
 
4.5%
5 13
 
0.2%
6 49
 
0.8%
7 24
 
0.4%
ValueCountFrequency (%)
7 24
 
0.4%
6 49
 
0.8%
5 13
 
0.2%
4 293
 
4.5%
3 239
 
3.7%
2 3543
54.6%
1 2332
35.9%

등록형태
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.9 KiB
1
5899 
4
 
556
2
 
38

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 5899
90.9%
4 556
 
8.6%
2 38
 
0.6%

Length

2023-12-13T03:26:02.926792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:26:03.064412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5899
90.9%
4 556
 
8.6%
2 38
 
0.6%

주용도
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.9 KiB
2
3022 
1
2802 
3
669 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row3
4th row1
5th row1

Common Values

ValueCountFrequency (%)
2 3022
46.5%
1 2802
43.2%
3 669
 
10.3%

Length

2023-12-13T03:26:03.181321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:26:03.291321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 3022
46.5%
1 2802
43.2%
3 669
 
10.3%

차량 구매 상태
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.9 KiB
2
5560 
1
932 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.000462
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
2 5560
85.6%
1 932
 
14.4%
<NA> 1
 
< 0.1%

Length

2023-12-13T03:26:03.422330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:26:03.536217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 5560
85.6%
1 932
 
14.4%
na 1
 
< 0.1%

차량 중고 구매(양도) 년
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)2.1%
Missing5561
Missing (%)85.6%
Infinite0
Infinite (%)0.0%
Mean2015.4281
Minimum1994
Maximum2018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:03.661522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1994
5-th percentile2010
Q12015
median2016
Q32018
95-th percentile2018
Maximum2018
Range24
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.1660429
Coefficient of variation (CV)0.0015709034
Kurtosis6.7173934
Mean2015.4281
Median Absolute Deviation (MAD)2
Skewness-2.1833075
Sum1878379
Variance10.023828
MonotonicityNot monotonic
2023-12-13T03:26:03.801075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
2018 285
 
4.4%
2017 154
 
2.4%
2016 137
 
2.1%
2015 130
 
2.0%
2014 68
 
1.0%
2010 38
 
0.6%
2012 29
 
0.4%
2013 24
 
0.4%
2011 22
 
0.3%
2008 10
 
0.2%
Other values (10) 35
 
0.5%
(Missing) 5561
85.6%
ValueCountFrequency (%)
1994 1
 
< 0.1%
1997 1
 
< 0.1%
2000 3
 
< 0.1%
2002 3
 
< 0.1%
2003 3
 
< 0.1%
2004 1
 
< 0.1%
2005 5
0.1%
2006 4
 
0.1%
2007 5
0.1%
2008 10
0.2%
ValueCountFrequency (%)
2018 285
4.4%
2017 154
2.4%
2016 137
2.1%
2015 130
2.0%
2014 68
 
1.0%
2013 24
 
0.4%
2012 29
 
0.4%
2011 22
 
0.3%
2010 38
 
0.6%
2009 9
 
0.1%

차량 중고 구매(양도) 월
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)1.3%
Missing5560
Missing (%)85.6%
Infinite0
Infinite (%)0.0%
Mean6.0728832
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:03.918764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.2022397
Coefficient of variation (CV)0.52730138
Kurtosis-0.99405926
Mean6.0728832
Median Absolute Deviation (MAD)2
Skewness0.25875654
Sum5666
Variance10.254339
MonotonicityNot monotonic
2023-12-13T03:26:04.038229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
5 167
 
2.6%
3 89
 
1.4%
4 88
 
1.4%
6 83
 
1.3%
10 77
 
1.2%
2 73
 
1.1%
9 68
 
1.0%
8 66
 
1.0%
1 64
 
1.0%
12 56
 
0.9%
Other values (2) 102
 
1.6%
(Missing) 5560
85.6%
ValueCountFrequency (%)
1 64
 
1.0%
2 73
1.1%
3 89
1.4%
4 88
1.4%
5 167
2.6%
6 83
1.3%
7 50
 
0.8%
8 66
 
1.0%
9 68
1.0%
10 77
1.2%
ValueCountFrequency (%)
12 56
 
0.9%
11 52
 
0.8%
10 77
1.2%
9 68
1.0%
8 66
 
1.0%
7 50
 
0.8%
6 83
1.3%
5 167
2.6%
4 88
1.4%
3 89
1.4%
Distinct463
Distinct (%)49.7%
Missing5561
Missing (%)85.6%
Infinite0
Infinite (%)0.0%
Mean87928.744
Minimum1
Maximum1500000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:04.199052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8000
Q131362.5
median70000
Q3110000
95-th percentile217250
Maximum1500000
Range1499999
Interquartile range (IQR)78637.5

Descriptive statistics

Standard deviation97673.378
Coefficient of variation (CV)1.1108242
Kurtosis63.315689
Mean87928.744
Median Absolute Deviation (MAD)40000
Skewness5.9061923
Sum81949589
Variance9.5400887 × 109
MonotonicityNot monotonic
2023-12-13T03:26:04.399335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100000 29
 
0.4%
120000 23
 
0.4%
20000 22
 
0.3%
30000 19
 
0.3%
50000 19
 
0.3%
110000 16
 
0.2%
60000 16
 
0.2%
90000 16
 
0.2%
150000 15
 
0.2%
10000 14
 
0.2%
Other values (453) 743
 
11.4%
(Missing) 5561
85.6%
ValueCountFrequency (%)
1 2
 
< 0.1%
223 1
 
< 0.1%
430 1
 
< 0.1%
564 1
 
< 0.1%
651 1
 
< 0.1%
1000 3
< 0.1%
1560 2
 
< 0.1%
2000 5
0.1%
2300 1
 
< 0.1%
2560 1
 
< 0.1%
ValueCountFrequency (%)
1500000 1
< 0.1%
1025875 1
< 0.1%
900625 1
< 0.1%
695130 1
< 0.1%
600000 1
< 0.1%
500000 1
< 0.1%
480000 1
< 0.1%
450000 1
< 0.1%
420000 1
< 0.1%
400000 1
< 0.1%

출고후주행거리
Real number (ℝ)

Distinct2564
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109773.93
Minimum1000
Maximum3600000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:04.594862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile14400
Q141317
median80000
Q3141733
95-th percentile288450
Maximum3600000
Range3599000
Interquartile range (IQR)100416

Descriptive statistics

Standard deviation123580.54
Coefficient of variation (CV)1.1257732
Kurtosis167.26919
Mean109773.93
Median Absolute Deviation (MAD)45000
Skewness8.5632604
Sum7.1276211 × 108
Variance1.5272151 × 1010
MonotonicityNot monotonic
2023-12-13T03:26:04.782380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000.0 128
 
2.0%
100000.0 124
 
1.9%
60000.0 121
 
1.9%
150000.0 115
 
1.8%
120000.0 113
 
1.7%
30000.0 113
 
1.7%
40000.0 90
 
1.4%
80000.0 82
 
1.3%
70000.0 74
 
1.1%
110000.0 74
 
1.1%
Other values (2554) 5459
84.1%
ValueCountFrequency (%)
1000.0 2
< 0.1%
1045.0 1
 
< 0.1%
1500.0 1
 
< 0.1%
1550.0 1
 
< 0.1%
1849.0 1
 
< 0.1%
1900.0 1
 
< 0.1%
2000.0 2
< 0.1%
2002.0 1
 
< 0.1%
2500.0 3
< 0.1%
2828.0 1
 
< 0.1%
ValueCountFrequency (%)
3600000.0 1
< 0.1%
2745000.0 1
< 0.1%
2327600.0 1
< 0.1%
2200000.0 1
< 0.1%
1350000.0 1
< 0.1%
1236000.0 1
< 0.1%
1200500.0 1
< 0.1%
1200000.0 1
< 0.1%
1152789.0 1
< 0.1%
1000000.0 2
< 0.1%

응답연간주행거리
Real number (ℝ)

Distinct2214
Distinct (%)34.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16386.374
Minimum288
Maximum116640
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:04.942073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum288
5-th percentile3500
Q19072
median14058
Q320160
95-th percentile37360.32
Maximum116640
Range116352
Interquartile range (IQR)11088

Descriptive statistics

Standard deviation11468.29
Coefficient of variation (CV)0.69986746
Kurtosis7.4989882
Mean16386.374
Median Absolute Deviation (MAD)5742
Skewness2.0842293
Sum1.0639673 × 108
Variance1.3152168 × 108
MonotonicityNot monotonic
2023-12-13T03:26:05.085644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12000.0 219
 
3.4%
10000.0 177
 
2.7%
15000.0 170
 
2.6%
20000.0 165
 
2.5%
18000.0 96
 
1.5%
10080.0 74
 
1.1%
25000.0 66
 
1.0%
8000.0 62
 
1.0%
30000.0 61
 
0.9%
11000.0 57
 
0.9%
Other values (2204) 5346
82.3%
ValueCountFrequency (%)
288.0 1
< 0.1%
360.0 1
< 0.1%
428.4 1
< 0.1%
480.0 1
< 0.1%
504.0 1
< 0.1%
576.0 2
< 0.1%
612.0 1
< 0.1%
624.0 2
< 0.1%
648.0 1
< 0.1%
672.0 1
< 0.1%
ValueCountFrequency (%)
116640.0 1
< 0.1%
106204.8 1
< 0.1%
100800.0 1
< 0.1%
96000.0 1
< 0.1%
93800.0 1
< 0.1%
87200.0 1
< 0.1%
86480.0 1
< 0.1%
86200.0 1
< 0.1%
85200.0 1
< 0.1%
84000.0 2
< 0.1%

최종연간주행거리
Real number (ℝ)

Distinct2214
Distinct (%)34.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16386.374
Minimum288
Maximum116640
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:05.258794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum288
5-th percentile3500
Q19072
median14058
Q320160
95-th percentile37360.32
Maximum116640
Range116352
Interquartile range (IQR)11088

Descriptive statistics

Standard deviation11468.29
Coefficient of variation (CV)0.69986746
Kurtosis7.4989882
Mean16386.374
Median Absolute Deviation (MAD)5742
Skewness2.0842293
Sum1.0639673 × 108
Variance1.3152168 × 108
MonotonicityNot monotonic
2023-12-13T03:26:05.405470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12000.0 219
 
3.4%
10000.0 177
 
2.7%
15000.0 170
 
2.6%
20000.0 165
 
2.5%
18000.0 96
 
1.5%
10080.0 74
 
1.1%
25000.0 66
 
1.0%
8000.0 62
 
1.0%
30000.0 61
 
0.9%
11000.0 57
 
0.9%
Other values (2204) 5346
82.3%
ValueCountFrequency (%)
288.0 1
< 0.1%
360.0 1
< 0.1%
428.4 1
< 0.1%
480.0 1
< 0.1%
504.0 1
< 0.1%
576.0 2
< 0.1%
612.0 1
< 0.1%
624.0 2
< 0.1%
648.0 1
< 0.1%
672.0 1
< 0.1%
ValueCountFrequency (%)
116640.0 1
< 0.1%
106204.8 1
< 0.1%
100800.0 1
< 0.1%
96000.0 1
< 0.1%
93800.0 1
< 0.1%
87200.0 1
< 0.1%
86480.0 1
< 0.1%
86200.0 1
< 0.1%
85200.0 1
< 0.1%
84000.0 2
< 0.1%

공인연비
Real number (ℝ)

Distinct234
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.717588
Minimum0
Maximum99.9
Zeros13
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:05.547039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q18
median10
Q313
95-th percentile20
Maximum99.9
Range99.9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation9.1129881
Coefficient of variation (CV)0.77771875
Kurtosis41.558622
Mean11.717588
Median Absolute Deviation (MAD)2
Skewness5.543974
Sum76082.3
Variance83.046551
MonotonicityNot monotonic
2023-12-13T03:26:05.688186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0 567
 
8.7%
9.0 516
 
7.9%
12.0 422
 
6.5%
8.0 367
 
5.7%
11.0 337
 
5.2%
13.0 276
 
4.3%
7.0 222
 
3.4%
15.0 190
 
2.9%
5.0 164
 
2.5%
14.0 162
 
2.5%
Other values (224) 3270
50.4%
ValueCountFrequency (%)
0.0 13
 
0.2%
2.0 8
 
0.1%
2.5 3
 
< 0.1%
2.7 2
 
< 0.1%
2.8 3
 
< 0.1%
3.0 35
0.5%
3.1 2
 
< 0.1%
3.2 3
 
< 0.1%
3.4 1
 
< 0.1%
3.5 30
0.5%
ValueCountFrequency (%)
99.9 6
 
0.1%
99.0 19
0.3%
95.0 1
 
< 0.1%
90.0 1
 
< 0.1%
80.0 1
 
< 0.1%
78.5 1
 
< 0.1%
75.8 3
 
< 0.1%
75.0 2
 
< 0.1%
72.0 1
 
< 0.1%
69.0 2
 
< 0.1%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.9 KiB
2
3650 
3
2485 
1
 
358

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row2
4th row3
5th row2

Common Values

ValueCountFrequency (%)
2 3650
56.2%
3 2485
38.3%
1 358
 
5.5%

Length

2023-12-13T03:26:05.833607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:26:05.937005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 3650
56.2%
3 2485
38.3%
1 358
 
5.5%

응답주행연비
Real number (ℝ)

ZEROS 

Distinct151
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5168135
Minimum0
Maximum245
Zeros2485
Zeros (%)38.3%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:06.065273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q310
95-th percentile16
Maximum245
Range245
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.1153223
Coefficient of variation (CV)1.2452899
Kurtosis139.99008
Mean6.5168135
Median Absolute Deviation (MAD)5.8
Skewness6.7711173
Sum42313.67
Variance65.858456
MonotonicityNot monotonic
2023-12-13T03:26:06.197958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2485
38.3%
8.0 538
 
8.3%
10.0 450
 
6.9%
9.0 392
 
6.0%
11.0 289
 
4.5%
7.0 285
 
4.4%
6.0 264
 
4.1%
12.0 257
 
4.0%
5.0 199
 
3.1%
13.0 160
 
2.5%
Other values (141) 1174
18.1%
ValueCountFrequency (%)
0.0 2485
38.3%
1.0 4
 
0.1%
2.0 16
 
0.2%
2.24 1
 
< 0.1%
2.34 1
 
< 0.1%
2.5 5
 
0.1%
2.8 1
 
< 0.1%
2.9 1
 
< 0.1%
3.0 67
 
1.0%
3.2 4
 
0.1%
ValueCountFrequency (%)
245.0 1
 
< 0.1%
140.0 1
 
< 0.1%
125.0 1
 
< 0.1%
80.0 1
 
< 0.1%
78.0 1
 
< 0.1%
65.0 2
< 0.1%
63.0 1
 
< 0.1%
60.0 3
< 0.1%
58.0 1
 
< 0.1%
55.0 3
< 0.1%

최종주행연비
Real number (ℝ)

ZEROS 

Distinct151
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5168135
Minimum0
Maximum245
Zeros2485
Zeros (%)38.3%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:06.329262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q310
95-th percentile16
Maximum245
Range245
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.1153223
Coefficient of variation (CV)1.2452899
Kurtosis139.99008
Mean6.5168135
Median Absolute Deviation (MAD)5.8
Skewness6.7711173
Sum42313.67
Variance65.858456
MonotonicityNot monotonic
2023-12-13T03:26:06.468359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2485
38.3%
8.0 538
 
8.3%
10.0 450
 
6.9%
9.0 392
 
6.0%
11.0 289
 
4.5%
7.0 285
 
4.4%
6.0 264
 
4.1%
12.0 257
 
4.0%
5.0 199
 
3.1%
13.0 160
 
2.5%
Other values (141) 1174
18.1%
ValueCountFrequency (%)
0.0 2485
38.3%
1.0 4
 
0.1%
2.0 16
 
0.2%
2.24 1
 
< 0.1%
2.34 1
 
< 0.1%
2.5 5
 
0.1%
2.8 1
 
< 0.1%
2.9 1
 
< 0.1%
3.0 67
 
1.0%
3.2 4
 
0.1%
ValueCountFrequency (%)
245.0 1
 
< 0.1%
140.0 1
 
< 0.1%
125.0 1
 
< 0.1%
80.0 1
 
< 0.1%
78.0 1
 
< 0.1%
65.0 2
< 0.1%
63.0 1
 
< 0.1%
60.0 3
< 0.1%
58.0 1
 
< 0.1%
55.0 3
< 0.1%

일평균주행거리
Real number (ℝ)

Distinct166
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.138611
Minimum2
Maximum700
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:06.597408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile12
Q130
median45
Q370
95-th percentile150
Maximum700
Range698
Interquartile range (IQR)40

Descriptive statistics

Standard deviation49.182631
Coefficient of variation (CV)0.8459547
Kurtosis19.133827
Mean58.138611
Median Absolute Deviation (MAD)15
Skewness3.330856
Sum377494
Variance2418.9312
MonotonicityNot monotonic
2023-12-13T03:26:06.731713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 828
 
12.8%
50 757
 
11.7%
30 646
 
9.9%
60 421
 
6.5%
20 420
 
6.5%
80 323
 
5.0%
100 295
 
4.5%
10 174
 
2.7%
25 165
 
2.5%
70 160
 
2.5%
Other values (156) 2304
35.5%
ValueCountFrequency (%)
2 11
 
0.2%
3 8
 
0.1%
4 11
 
0.2%
5 28
 
0.4%
6 15
 
0.2%
7 15
 
0.2%
8 26
 
0.4%
9 13
 
0.2%
10 174
2.7%
11 9
 
0.1%
ValueCountFrequency (%)
700 1
 
< 0.1%
600 1
 
< 0.1%
500 2
 
< 0.1%
450 2
 
< 0.1%
430 1
 
< 0.1%
416 2
 
< 0.1%
400 8
0.1%
380 1
 
< 0.1%
350 9
0.1%
330 2
 
< 0.1%

주평균운행일수
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2596643
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:06.850852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1723219
Coefficient of variation (CV)0.22288911
Kurtosis1.4797546
Mean5.2596643
Median Absolute Deviation (MAD)1
Skewness-0.85746037
Sum34151
Variance1.3743386
MonotonicityNot monotonic
2023-12-13T03:26:06.948906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 3094
47.7%
6 1550
23.9%
7 938
 
14.4%
4 365
 
5.6%
3 310
 
4.8%
2 189
 
2.9%
1 47
 
0.7%
ValueCountFrequency (%)
1 47
 
0.7%
2 189
 
2.9%
3 310
 
4.8%
4 365
 
5.6%
5 3094
47.7%
6 1550
23.9%
7 938
 
14.4%
ValueCountFrequency (%)
7 938
 
14.4%
6 1550
23.9%
5 3094
47.7%
4 365
 
5.6%
3 310
 
4.8%
2 189
 
2.9%
1 47
 
0.7%

월평균주유횟수
Real number (ℝ)

Distinct26
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6619436
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:07.064749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile10
Maximum30
Range29
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.4023878
Coefficient of variation (CV)0.72982173
Kurtosis12.009878
Mean4.6619436
Median Absolute Deviation (MAD)1
Skewness2.8907497
Sum30270
Variance11.576242
MonotonicityNot monotonic
2023-12-13T03:26:07.175259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
4 1670
25.7%
2 1350
20.8%
3 1086
16.7%
5 676
10.4%
6 470
 
7.2%
8 351
 
5.4%
10 239
 
3.7%
1 185
 
2.8%
7 154
 
2.4%
12 84
 
1.3%
Other values (16) 228
 
3.5%
ValueCountFrequency (%)
1 185
 
2.8%
2 1350
20.8%
3 1086
16.7%
4 1670
25.7%
5 676
10.4%
6 470
 
7.2%
7 154
 
2.4%
8 351
 
5.4%
9 18
 
0.3%
10 239
 
3.7%
ValueCountFrequency (%)
30 8
 
0.1%
28 1
 
< 0.1%
26 2
 
< 0.1%
25 17
 
0.3%
24 6
 
0.1%
23 1
 
< 0.1%
22 2
 
< 0.1%
20 55
0.8%
18 4
 
0.1%
17 2
 
< 0.1%

1회평균구입량
Real number (ℝ)

Distinct422
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.199539
Minimum1
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:07.310714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q120
median37
Q350
95-th percentile90
Maximum300
Range299
Interquartile range (IQR)30

Descriptive statistics

Standard deviation28.440473
Coefficient of variation (CV)0.70748255
Kurtosis8.4048315
Mean40.199539
Median Absolute Deviation (MAD)15
Skewness2.1447519
Sum261015.61
Variance808.86049
MonotonicityNot monotonic
2023-12-13T03:26:07.781626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.0 730
 
11.2%
20.0 546
 
8.4%
34.0 369
 
5.7%
30.0 343
 
5.3%
45.0 303
 
4.7%
60.0 276
 
4.3%
40.0 271
 
4.2%
50.0 239
 
3.7%
52.0 186
 
2.9%
75.0 122
 
1.9%
Other values (412) 3108
47.9%
ValueCountFrequency (%)
1.0 4
 
0.1%
1.3 1
 
< 0.1%
1.8 1
 
< 0.1%
1.9 1
 
< 0.1%
2.1 1
 
< 0.1%
2.3 5
 
0.1%
2.5 1
 
< 0.1%
3.0 25
0.4%
3.1 2
 
< 0.1%
3.2 3
 
< 0.1%
ValueCountFrequency (%)
300.0 1
 
< 0.1%
260.0 3
< 0.1%
230.0 1
 
< 0.1%
228.8 2
< 0.1%
224.0 2
< 0.1%
222.0 1
 
< 0.1%
220.0 1
 
< 0.1%
205.0 1
 
< 0.1%
200.0 4
0.1%
198.8 1
 
< 0.1%

1회평균구입비용
Real number (ℝ)

MISSING 

Distinct176
Distinct (%)3.5%
Missing1461
Missing (%)22.5%
Infinite0
Infinite (%)0.0%
Mean54.070946
Minimum1
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:07.930338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q129
median50
Q367
95-th percentile118
Maximum1000
Range999
Interquartile range (IQR)38

Descriptive statistics

Standard deviation46.459949
Coefficient of variation (CV)0.85924054
Kurtosis171.81938
Mean54.070946
Median Absolute Deviation (MAD)20
Skewness9.2738391
Sum272085
Variance2158.5268
MonotonicityNot monotonic
2023-12-13T03:26:08.125345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50.0 1140
17.6%
29.0 395
 
6.1%
40.0 348
 
5.4%
60.0 347
 
5.3%
70.0 191
 
2.9%
80.0 190
 
2.9%
101.0 120
 
1.8%
10.0 109
 
1.7%
20.0 104
 
1.6%
5.0 87
 
1.3%
Other values (166) 2001
30.8%
(Missing) 1461
22.5%
ValueCountFrequency (%)
1.0 3
 
< 0.1%
2.0 1
 
< 0.1%
3.0 8
 
0.1%
4.0 15
 
0.2%
5.0 87
1.3%
6.0 68
1.0%
7.0 53
0.8%
8.0 34
 
0.5%
9.0 11
 
0.2%
10.0 109
1.7%
ValueCountFrequency (%)
1000.0 5
0.1%
349.0 3
< 0.1%
300.0 3
< 0.1%
298.0 1
 
< 0.1%
275.0 1
 
< 0.1%
266.0 1
 
< 0.1%
250.0 1
 
< 0.1%
248.0 2
 
< 0.1%
235.0 1
 
< 0.1%
228.0 1
 
< 0.1%

출퇴근용사용여부
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.9 KiB
<NA>
5566 
1
812 
2
 
115

Length

Max length4
Median length4
Mean length3.5716926
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row2
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
<NA> 5566
85.7%
1 812
 
12.5%
2 115
 
1.8%

Length

2023-12-13T03:26:08.315472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:26:08.440775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5566
85.7%
1 812
 
12.5%
2 115
 
1.8%

출퇴근편도주행거리
Real number (ℝ)

ZEROS 

Distinct62
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3633913
Minimum0
Maximum180
Zeros3894
Zeros (%)60.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:08.584866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q312
95-th percentile30
Maximum180
Range180
Interquartile range (IQR)12

Descriptive statistics

Standard deviation12.085397
Coefficient of variation (CV)1.6412813
Kurtosis10.431011
Mean7.3633913
Median Absolute Deviation (MAD)0
Skewness2.3299376
Sum47810.5
Variance146.05681
MonotonicityNot monotonic
2023-12-13T03:26:08.823600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 3894
60.0%
10.0 401
 
6.2%
20.0 375
 
5.8%
15.0 290
 
4.5%
30.0 221
 
3.4%
5.0 181
 
2.8%
25.0 177
 
2.7%
8.0 93
 
1.4%
40.0 86
 
1.3%
12.0 75
 
1.2%
Other values (52) 700
 
10.8%
ValueCountFrequency (%)
0.0 3894
60.0%
1.0 12
 
0.2%
2.0 39
 
0.6%
3.0 53
 
0.8%
4.0 39
 
0.6%
5.0 181
 
2.8%
6.0 49
 
0.8%
7.0 58
 
0.9%
8.0 93
 
1.4%
9.0 17
 
0.3%
ValueCountFrequency (%)
180.0 1
 
< 0.1%
90.0 2
 
< 0.1%
80.0 4
 
0.1%
77.0 1
 
< 0.1%
70.0 4
 
0.1%
65.0 1
 
< 0.1%
60.0 12
0.2%
58.0 1
 
< 0.1%
57.0 1
 
< 0.1%
56.0 3
 
< 0.1%
Distinct317
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean331.31172
Minimum1
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:09.026501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile60
Q1220
median315
Q3420
95-th percentile600
Maximum1000
Range999
Interquartile range (IQR)200

Descriptive statistics

Standard deviation165.4897
Coefficient of variation (CV)0.49949846
Kurtosis0.49702826
Mean331.31172
Median Absolute Deviation (MAD)105
Skewness0.45710709
Sum2151207
Variance27386.839
MonotonicityNot monotonic
2023-12-13T03:26:09.231699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 676
 
10.4%
400 645
 
9.9%
500 444
 
6.8%
200 391
 
6.0%
350 371
 
5.7%
250 351
 
5.4%
450 293
 
4.5%
600 192
 
3.0%
100 169
 
2.6%
150 168
 
2.6%
Other values (307) 2793
43.0%
ValueCountFrequency (%)
1 4
 
0.1%
2 8
 
0.1%
3 2
 
< 0.1%
4 3
 
< 0.1%
5 17
0.3%
6 5
 
0.1%
7 5
 
0.1%
8 9
 
0.1%
9 11
0.2%
10 26
0.4%
ValueCountFrequency (%)
1000 2
 
< 0.1%
985 1
 
< 0.1%
980 2
 
< 0.1%
960 1
 
< 0.1%
930 2
 
< 0.1%
900 16
0.2%
870 1
 
< 0.1%
860 1
 
< 0.1%
850 7
0.1%
835 1
 
< 0.1%

출퇴근용(퍼센트)
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.525951
Minimum0
Maximum100
Zeros3898
Zeros (%)60.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:09.410305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q360
95-th percentile90
Maximum100
Range100
Interquartile range (IQR)60

Descriptive statistics

Standard deviation34.231707
Coefficient of variation (CV)1.3410551
Kurtosis-1.0173654
Mean25.525951
Median Absolute Deviation (MAD)0
Skewness0.80939043
Sum165740
Variance1171.8097
MonotonicityNot monotonic
2023-12-13T03:26:09.557517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 3898
60.0%
80 559
 
8.6%
50 399
 
6.1%
70 384
 
5.9%
60 350
 
5.4%
90 231
 
3.6%
40 140
 
2.2%
30 131
 
2.0%
100 125
 
1.9%
20 98
 
1.5%
Other values (20) 178
 
2.7%
ValueCountFrequency (%)
0 3898
60.0%
1 1
 
< 0.1%
2 1
 
< 0.1%
5 9
 
0.1%
10 52
 
0.8%
15 6
 
0.1%
20 98
 
1.5%
25 11
 
0.2%
30 131
 
2.0%
35 8
 
0.1%
ValueCountFrequency (%)
100 125
1.9%
99 2
 
< 0.1%
98 2
 
< 0.1%
95 19
 
0.3%
94 1
 
< 0.1%
93 1
 
< 0.1%
92 1
 
< 0.1%
91 2
 
< 0.1%
90 231
3.6%
85 27
 
0.4%

사업용(퍼센트)
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.192823
Minimum0
Maximum100
Zeros5227
Zeros (%)80.5%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:09.704958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile30
Maximum100
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.973887
Coefficient of variation (CV)2.8835734
Kurtosis16.659849
Mean5.192823
Median Absolute Deviation (MAD)0
Skewness3.902588
Sum33717
Variance224.21728
MonotonicityNot monotonic
2023-12-13T03:26:09.872737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 5227
80.5%
10 408
 
6.3%
20 243
 
3.7%
30 127
 
2.0%
5 123
 
1.9%
50 81
 
1.2%
40 68
 
1.0%
80 41
 
0.6%
70 36
 
0.6%
100 33
 
0.5%
Other values (15) 106
 
1.6%
ValueCountFrequency (%)
0 5227
80.5%
1 4
 
0.1%
2 12
 
0.2%
3 4
 
0.1%
5 123
 
1.9%
7 1
 
< 0.1%
8 1
 
< 0.1%
10 408
 
6.3%
11 1
 
< 0.1%
15 14
 
0.2%
ValueCountFrequency (%)
100 33
0.5%
98 2
 
< 0.1%
95 2
 
< 0.1%
90 12
 
0.2%
85 3
 
< 0.1%
80 41
0.6%
70 36
0.6%
60 33
0.5%
55 2
 
< 0.1%
50 81
1.2%
Distinct27
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.7092253
Minimum0
Maximum100
Zeros4290
Zeros (%)66.1%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:10.038662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310
95-th percentile30
Maximum100
Range100
Interquartile range (IQR)10

Descriptive statistics

Standard deviation12.693075
Coefficient of variation (CV)1.8918838
Kurtosis9.8612612
Mean6.7092253
Median Absolute Deviation (MAD)0
Skewness2.7568915
Sum43563
Variance161.11414
MonotonicityNot monotonic
2023-12-13T03:26:10.186876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 4290
66.1%
10 767
 
11.8%
20 621
 
9.6%
30 254
 
3.9%
5 194
 
3.0%
50 86
 
1.3%
40 76
 
1.2%
15 74
 
1.1%
25 26
 
0.4%
70 25
 
0.4%
Other values (17) 80
 
1.2%
ValueCountFrequency (%)
0 4290
66.1%
1 6
 
0.1%
2 2
 
< 0.1%
3 6
 
0.1%
4 1
 
< 0.1%
5 194
 
3.0%
7 2
 
< 0.1%
8 2
 
< 0.1%
9 1
 
< 0.1%
10 767
 
11.8%
ValueCountFrequency (%)
100 5
 
0.1%
90 4
 
0.1%
85 1
 
< 0.1%
80 16
 
0.2%
70 25
 
0.4%
60 22
 
0.3%
55 1
 
< 0.1%
50 86
1.3%
45 3
 
< 0.1%
40 76
1.2%

가정일상 생활용(퍼센트)
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.852302
Minimum0
Maximum100
Zeros3677
Zeros (%)56.6%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:10.355503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q315
95-th percentile50
Maximum100
Range100
Interquartile range (IQR)15

Descriptive statistics

Standard deviation19.100923
Coefficient of variation (CV)1.7600802
Kurtosis6.9000513
Mean10.852302
Median Absolute Deviation (MAD)0
Skewness2.5434658
Sum70464
Variance364.84525
MonotonicityNot monotonic
2023-12-13T03:26:10.513249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 3677
56.6%
10 906
 
14.0%
20 694
 
10.7%
30 275
 
4.2%
5 206
 
3.2%
50 143
 
2.2%
15 109
 
1.7%
40 108
 
1.7%
70 81
 
1.2%
80 67
 
1.0%
Other values (25) 227
 
3.5%
ValueCountFrequency (%)
0 3677
56.6%
1 4
 
0.1%
2 2
 
< 0.1%
3 3
 
< 0.1%
4 4
 
0.1%
5 206
 
3.2%
6 1
 
< 0.1%
7 1
 
< 0.1%
8 4
 
0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
100 59
0.9%
98 1
 
< 0.1%
95 2
 
< 0.1%
92 1
 
< 0.1%
90 29
 
0.4%
85 3
 
< 0.1%
80 67
1.0%
75 2
 
< 0.1%
70 81
1.2%
65 3
 
< 0.1%

기타(퍼센트)(퍼센트)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.74172185
Minimum0
Maximum100
Zeros6108
Zeros (%)94.1%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:10.656128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum100
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.9966072
Coefficient of variation (CV)5.388283
Kurtosis173.12582
Mean0.74172185
Median Absolute Deviation (MAD)0
Skewness10.459875
Sum4816
Variance15.972869
MonotonicityNot monotonic
2023-12-13T03:26:10.819400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 6108
94.1%
10 184
 
2.8%
5 92
 
1.4%
20 56
 
0.9%
30 11
 
0.2%
40 8
 
0.1%
15 5
 
0.1%
25 4
 
0.1%
1 4
 
0.1%
2 4
 
0.1%
Other values (11) 17
 
0.3%
ValueCountFrequency (%)
0 6108
94.1%
1 4
 
0.1%
2 4
 
0.1%
3 4
 
0.1%
4 1
 
< 0.1%
5 92
 
1.4%
6 1
 
< 0.1%
7 1
 
< 0.1%
9 1
 
< 0.1%
10 184
 
2.8%
ValueCountFrequency (%)
100 2
 
< 0.1%
70 1
 
< 0.1%
60 2
 
< 0.1%
50 2
 
< 0.1%
40 8
 
0.1%
30 11
 
0.2%
25 4
 
0.1%
20 56
0.9%
19 1
 
< 0.1%
15 5
 
0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.9 KiB
0
3310 
100
3183 

Length

Max length3
Median length1
Mean length1.9804405
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row100

Common Values

ValueCountFrequency (%)
0 3310
51.0%
100 3183
49.0%

Length

2023-12-13T03:26:10.971796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:26:11.105681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3310
51.0%
100 3183
49.0%

주중 평균 주행거리
Real number (ℝ)

MISSING  ZEROS 

Distinct146
Distinct (%)2.3%
Missing177
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean46.54924
Minimum0
Maximum999
Zeros3150
Zeros (%)48.5%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:11.260488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q350
95-th percentile250
Maximum999
Range999
Interquartile range (IQR)50

Descriptive statistics

Standard deviation92.399317
Coefficient of variation (CV)1.9849801
Kurtosis16.217889
Mean46.54924
Median Absolute Deviation (MAD)1
Skewness3.4271528
Sum294005
Variance8537.6338
MonotonicityNot monotonic
2023-12-13T03:26:11.458252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3150
48.5%
20 316
 
4.9%
30 310
 
4.8%
50 272
 
4.2%
40 226
 
3.5%
100 193
 
3.0%
10 168
 
2.6%
60 126
 
1.9%
150 121
 
1.9%
200 120
 
1.8%
Other values (136) 1314
20.2%
(Missing) 177
 
2.7%
ValueCountFrequency (%)
0 3150
48.5%
1 16
 
0.2%
2 17
 
0.3%
3 22
 
0.3%
4 6
 
0.1%
5 56
 
0.9%
6 16
 
0.2%
7 10
 
0.2%
8 14
 
0.2%
9 5
 
0.1%
ValueCountFrequency (%)
999 1
 
< 0.1%
990 1
 
< 0.1%
900 3
 
< 0.1%
800 1
 
< 0.1%
750 2
 
< 0.1%
700 2
 
< 0.1%
600 9
0.1%
580 2
 
< 0.1%
550 1
 
< 0.1%
545 1
 
< 0.1%

주중 06시 - 09시(퍼센트)
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.805175
Minimum0
Maximum100
Zeros4212
Zeros (%)64.9%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:11.602372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q340
95-th percentile50
Maximum100
Range100
Interquartile range (IQR)40

Descriptive statistics

Standard deviation22.209134
Coefficient of variation (CV)1.5000926
Kurtosis0.11757153
Mean14.805175
Median Absolute Deviation (MAD)0
Skewness1.140246
Sum96130
Variance493.24562
MonotonicityNot monotonic
2023-12-13T03:26:11.742039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 4212
64.9%
50 1203
 
18.5%
40 315
 
4.9%
30 222
 
3.4%
20 167
 
2.6%
10 150
 
2.3%
45 54
 
0.8%
100 37
 
0.6%
5 21
 
0.3%
35 19
 
0.3%
Other values (13) 93
 
1.4%
ValueCountFrequency (%)
0 4212
64.9%
1 2
 
< 0.1%
5 21
 
0.3%
10 150
 
2.3%
15 13
 
0.2%
20 167
 
2.6%
25 15
 
0.2%
30 222
 
3.4%
35 19
 
0.3%
40 315
 
4.9%
ValueCountFrequency (%)
100 37
 
0.6%
95 1
 
< 0.1%
90 4
 
0.1%
80 18
 
0.3%
70 18
 
0.3%
60 16
 
0.2%
55 1
 
< 0.1%
52 1
 
< 0.1%
50 1203
18.5%
48 2
 
< 0.1%

주중 09시 - 12시(퍼센트)
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.9970738
Minimum0
Maximum100
Zeros5131
Zeros (%)79.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:11.868842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile50
Maximum100
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.239258
Coefficient of variation (CV)2.3743676
Kurtosis7.6406121
Mean5.9970738
Median Absolute Deviation (MAD)0
Skewness2.7105811
Sum38939
Variance202.75646
MonotonicityNot monotonic
2023-12-13T03:26:12.008995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 5131
79.0%
20 314
 
4.8%
50 308
 
4.7%
10 286
 
4.4%
30 160
 
2.5%
40 111
 
1.7%
5 70
 
1.1%
25 32
 
0.5%
15 17
 
0.3%
60 12
 
0.2%
Other values (14) 52
 
0.8%
ValueCountFrequency (%)
0 5131
79.0%
1 2
 
< 0.1%
2 4
 
0.1%
3 1
 
< 0.1%
5 70
 
1.1%
10 286
 
4.4%
12 1
 
< 0.1%
15 17
 
0.3%
20 314
 
4.8%
25 32
 
0.5%
ValueCountFrequency (%)
100 11
 
0.2%
99 1
 
< 0.1%
90 2
 
< 0.1%
80 6
 
0.1%
70 7
 
0.1%
60 12
 
0.2%
55 1
 
< 0.1%
52 1
 
< 0.1%
50 308
4.7%
45 3
 
< 0.1%

주중 12시 - 15시(퍼센트)
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0446635
Minimum0
Maximum100
Zeros5283
Zeros (%)81.4%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:12.246047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile30
Maximum100
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.941331
Coefficient of variation (CV)2.7051277
Kurtosis19.921275
Mean4.0446635
Median Absolute Deviation (MAD)0
Skewness3.8903781
Sum26262
Variance119.71273
MonotonicityNot monotonic
2023-12-13T03:26:12.403484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 5283
81.4%
10 368
 
5.7%
20 344
 
5.3%
30 160
 
2.5%
5 101
 
1.6%
50 78
 
1.2%
40 57
 
0.9%
25 24
 
0.4%
15 22
 
0.3%
100 13
 
0.2%
Other values (17) 43
 
0.7%
ValueCountFrequency (%)
0 5283
81.4%
1 1
 
< 0.1%
2 1
 
< 0.1%
3 3
 
< 0.1%
4 1
 
< 0.1%
5 101
 
1.6%
6 2
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
10 368
 
5.7%
ValueCountFrequency (%)
100 13
 
0.2%
90 1
 
< 0.1%
80 4
 
0.1%
75 1
 
< 0.1%
70 10
 
0.2%
60 7
 
0.1%
50 78
1.2%
45 2
 
< 0.1%
44 1
 
< 0.1%
40 57
0.9%

주중 15시 - 18시(퍼센트)
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6049592
Minimum0
Maximum100
Zeros4890
Zeros (%)75.3%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:12.571659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile40
Maximum100
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.322456
Coefficient of variation (CV)2.1684397
Kurtosis7.1550228
Mean6.6049592
Median Absolute Deviation (MAD)0
Skewness2.545994
Sum42886
Variance205.13274
MonotonicityNot monotonic
2023-12-13T03:26:12.737424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 4890
75.3%
10 365
 
5.6%
20 353
 
5.4%
50 257
 
4.0%
30 244
 
3.8%
40 146
 
2.2%
5 92
 
1.4%
25 37
 
0.6%
15 23
 
0.4%
45 20
 
0.3%
Other values (18) 66
 
1.0%
ValueCountFrequency (%)
0 4890
75.3%
1 2
 
< 0.1%
2 1
 
< 0.1%
3 3
 
< 0.1%
4 1
 
< 0.1%
5 92
 
1.4%
6 3
 
< 0.1%
7 2
 
< 0.1%
10 365
 
5.6%
12 1
 
< 0.1%
ValueCountFrequency (%)
100 16
 
0.2%
80 6
 
0.1%
70 3
 
< 0.1%
60 10
 
0.2%
55 1
 
< 0.1%
50 257
4.0%
48 1
 
< 0.1%
45 20
 
0.3%
40 146
2.2%
35 11
 
0.2%

주중 18시 - 21시(퍼센트)
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.390112
Minimum0
Maximum100
Zeros3870
Zeros (%)59.6%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:12.886969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q330
95-th percentile50
Maximum100
Range100
Interquartile range (IQR)30

Descriptive statistics

Standard deviation20.588428
Coefficient of variation (CV)1.4307343
Kurtosis0.50568668
Mean14.390112
Median Absolute Deviation (MAD)0
Skewness1.1934333
Sum93435
Variance423.88337
MonotonicityNot monotonic
2023-12-13T03:26:13.035244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 3870
59.6%
50 953
 
14.7%
20 440
 
6.8%
30 342
 
5.3%
40 322
 
5.0%
10 308
 
4.7%
25 47
 
0.7%
100 33
 
0.5%
45 32
 
0.5%
15 31
 
0.5%
Other values (21) 115
 
1.8%
ValueCountFrequency (%)
0 3870
59.6%
1 1
 
< 0.1%
2 2
 
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
5 30
 
0.5%
7 2
 
< 0.1%
10 308
 
4.7%
11 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
100 33
 
0.5%
90 1
 
< 0.1%
80 10
 
0.2%
75 1
 
< 0.1%
70 7
 
0.1%
65 1
 
< 0.1%
60 23
 
0.4%
55 6
 
0.1%
50 953
14.7%
48 1
 
< 0.1%

주중 21시 - 24시(퍼센트)
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5735407
Minimum0
Maximum100
Zeros5539
Zeros (%)85.3%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:13.176342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile20
Maximum100
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.3334886
Coefficient of variation (CV)3.2381413
Kurtosis34.620869
Mean2.5735407
Median Absolute Deviation (MAD)0
Skewness5.0790374
Sum16710
Variance69.447032
MonotonicityNot monotonic
2023-12-13T03:26:13.329021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 5539
85.3%
10 435
 
6.7%
20 207
 
3.2%
5 97
 
1.5%
50 68
 
1.0%
15 34
 
0.5%
30 30
 
0.5%
40 28
 
0.4%
25 18
 
0.3%
3 8
 
0.1%
Other values (15) 29
 
0.4%
ValueCountFrequency (%)
0 5539
85.3%
1 3
 
< 0.1%
2 3
 
< 0.1%
3 8
 
0.1%
5 97
 
1.5%
6 1
 
< 0.1%
8 2
 
< 0.1%
9 1
 
< 0.1%
10 435
 
6.7%
12 2
 
< 0.1%
ValueCountFrequency (%)
100 6
 
0.1%
90 1
 
< 0.1%
80 1
 
< 0.1%
75 1
 
< 0.1%
70 2
 
< 0.1%
60 2
 
< 0.1%
50 68
1.0%
47 1
 
< 0.1%
45 1
 
< 0.1%
40 28
0.4%

주중 24시 - 06시(퍼센트)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.34467888
Minimum0
Maximum100
Zeros6297
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:13.476253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum100
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.9988858
Coefficient of variation (CV)8.7005208
Kurtosis380.75456
Mean0.34467888
Median Absolute Deviation (MAD)0
Skewness16.797674
Sum2238
Variance8.9933162
MonotonicityNot monotonic
2023-12-13T03:26:13.592534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 6297
97.0%
10 83
 
1.3%
5 69
 
1.1%
20 9
 
0.1%
50 8
 
0.1%
2 7
 
0.1%
1 5
 
0.1%
40 4
 
0.1%
3 3
 
< 0.1%
30 2
 
< 0.1%
Other values (6) 6
 
0.1%
ValueCountFrequency (%)
0 6297
97.0%
1 5
 
0.1%
2 7
 
0.1%
3 3
 
< 0.1%
5 69
 
1.1%
6 1
 
< 0.1%
10 83
 
1.3%
13 1
 
< 0.1%
15 1
 
< 0.1%
20 9
 
0.1%
ValueCountFrequency (%)
100 1
 
< 0.1%
80 1
 
< 0.1%
50 8
 
0.1%
40 4
 
0.1%
30 2
 
< 0.1%
21 1
 
< 0.1%
20 9
 
0.1%
15 1
 
< 0.1%
13 1
 
< 0.1%
10 83
1.3%

주말 평균 주행거리
Real number (ℝ)

MISSING  ZEROS 

Distinct90
Distinct (%)1.5%
Missing333
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean28.083929
Minimum0
Maximum900
Zeros3150
Zeros (%)48.5%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:13.749589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q340
95-th percentile100
Maximum900
Range900
Interquartile range (IQR)40

Descriptive statistics

Standard deviation52.265983
Coefficient of variation (CV)1.8610638
Kurtosis36.077934
Mean28.083929
Median Absolute Deviation (MAD)0
Skewness4.4066955
Sum172997
Variance2731.733
MonotonicityNot monotonic
2023-12-13T03:26:13.931916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3150
48.5%
50 423
 
6.5%
20 388
 
6.0%
100 345
 
5.3%
30 297
 
4.6%
10 281
 
4.3%
40 208
 
3.2%
60 179
 
2.8%
80 100
 
1.5%
200 82
 
1.3%
Other values (80) 707
 
10.9%
(Missing) 333
 
5.1%
ValueCountFrequency (%)
0 3150
48.5%
1 50
 
0.8%
2 12
 
0.2%
3 12
 
0.2%
4 10
 
0.2%
5 72
 
1.1%
6 5
 
0.1%
7 6
 
0.1%
8 19
 
0.3%
9 3
 
< 0.1%
ValueCountFrequency (%)
900 1
 
< 0.1%
760 1
 
< 0.1%
600 1
 
< 0.1%
550 1
 
< 0.1%
500 5
 
0.1%
400 10
0.2%
385 1
 
< 0.1%
350 4
 
0.1%
300 19
0.3%
255 1
 
< 0.1%

주말 06시 - 09시(퍼센트)
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2421069
Minimum0
Maximum100
Zeros5645
Zeros (%)86.9%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:14.085804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile20
Maximum100
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.461073
Coefficient of variation (CV)3.2266282
Kurtosis20.70887
Mean3.2421069
Median Absolute Deviation (MAD)0
Skewness4.1728843
Sum21051
Variance109.43406
MonotonicityNot monotonic
2023-12-13T03:26:14.586627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.0 5645
86.9%
10.0 247
 
3.8%
20.0 223
 
3.4%
50.0 130
 
2.0%
30.0 105
 
1.6%
5.0 45
 
0.7%
40.0 37
 
0.6%
25.0 11
 
0.2%
15.0 9
 
0.1%
60.0 8
 
0.1%
Other values (14) 33
 
0.5%
ValueCountFrequency (%)
0.0 5645
86.9%
1.0 3
 
< 0.1%
2.0 1
 
< 0.1%
5.0 45
 
0.7%
8.0 1
 
< 0.1%
10.0 247
 
3.8%
12.5 1
 
< 0.1%
15.0 9
 
0.1%
20.0 223
 
3.4%
22.0 1
 
< 0.1%
ValueCountFrequency (%)
100.0 7
 
0.1%
95.0 1
 
< 0.1%
90.0 2
 
< 0.1%
80.0 3
 
< 0.1%
70.0 4
 
0.1%
60.0 8
 
0.1%
50.0 130
2.0%
45.0 2
 
< 0.1%
40.0 37
 
0.6%
37.5 1
 
< 0.1%

주말 09시 - 12시(퍼센트)
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.940243
Minimum0
Maximum100
Zeros4427
Zeros (%)68.2%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:14.727316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q320
95-th percentile50
Maximum100
Range100
Interquartile range (IQR)20

Descriptive statistics

Standard deviation18.726761
Coefficient of variation (CV)1.7117317
Kurtosis2.6304418
Mean10.940243
Median Absolute Deviation (MAD)0
Skewness1.7267606
Sum71035
Variance350.69159
MonotonicityNot monotonic
2023-12-13T03:26:14.875781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 4427
68.2%
50.0 626
 
9.6%
20.0 513
 
7.9%
30.0 391
 
6.0%
10.0 169
 
2.6%
40.0 159
 
2.4%
25.0 56
 
0.9%
100.0 34
 
0.5%
60.0 27
 
0.4%
15.0 19
 
0.3%
Other values (13) 72
 
1.1%
ValueCountFrequency (%)
0.0 4427
68.2%
1.0 1
 
< 0.1%
4.0 1
 
< 0.1%
5.0 17
 
0.3%
10.0 169
 
2.6%
12.5 2
 
< 0.1%
15.0 19
 
0.3%
20.0 513
 
7.9%
25.0 56
 
0.9%
30.0 391
 
6.0%
ValueCountFrequency (%)
100.0 34
 
0.5%
95.0 1
 
< 0.1%
90.0 2
 
< 0.1%
80.0 9
 
0.1%
70.0 13
 
0.2%
60.0 27
 
0.4%
50.0 626
9.6%
45.0 6
 
0.1%
40.0 159
 
2.4%
37.5 2
 
< 0.1%

주말 12시 - 15시(퍼센트)
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.107269
Minimum0
Maximum100
Zeros4505
Zeros (%)69.4%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:15.017518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q320
95-th percentile50
Maximum100
Range100
Interquartile range (IQR)20

Descriptive statistics

Standard deviation19.361866
Coefficient of variation (CV)1.9156377
Kurtosis6.1862864
Mean10.107269
Median Absolute Deviation (MAD)0
Skewness2.3741521
Sum65626.5
Variance374.88186
MonotonicityNot monotonic
2023-12-13T03:26:15.165813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.0 4505
69.4%
20.0 543
 
8.4%
50.0 406
 
6.3%
30.0 361
 
5.6%
10.0 283
 
4.4%
40.0 114
 
1.8%
100.0 94
 
1.4%
25.0 47
 
0.7%
5.0 38
 
0.6%
70.0 27
 
0.4%
Other values (16) 75
 
1.2%
ValueCountFrequency (%)
0.0 4505
69.4%
1.0 1
 
< 0.1%
5.0 38
 
0.6%
6.0 1
 
< 0.1%
9.0 1
 
< 0.1%
10.0 283
 
4.4%
12.5 3
 
< 0.1%
15.0 16
 
0.2%
19.0 1
 
< 0.1%
20.0 543
 
8.4%
ValueCountFrequency (%)
100.0 94
 
1.4%
90.0 4
 
0.1%
80.0 14
 
0.2%
75.0 1
 
< 0.1%
70.0 27
 
0.4%
65.0 1
 
< 0.1%
60.0 20
 
0.3%
55.0 1
 
< 0.1%
50.0 406
6.3%
45.0 3
 
< 0.1%

주말 15시 - 18시(퍼센트)
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.9458648
Minimum0
Maximum100
Zeros4549
Zeros (%)70.1%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:15.299373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310
95-th percentile50
Maximum100
Range100
Interquartile range (IQR)10

Descriptive statistics

Standard deviation17.268965
Coefficient of variation (CV)1.9303852
Kurtosis7.2844134
Mean8.9458648
Median Absolute Deviation (MAD)0
Skewness2.4686011
Sum58085.5
Variance298.21715
MonotonicityNot monotonic
2023-12-13T03:26:15.442006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.0 4549
70.1%
20.0 539
 
8.3%
30.0 378
 
5.8%
10.0 330
 
5.1%
50.0 316
 
4.9%
40.0 145
 
2.2%
100.0 62
 
1.0%
25.0 57
 
0.9%
15.0 33
 
0.5%
5.0 33
 
0.5%
Other values (15) 51
 
0.8%
ValueCountFrequency (%)
0.0 4549
70.1%
1.0 1
 
< 0.1%
2.0 1
 
< 0.1%
5.0 33
 
0.5%
6.0 1
 
< 0.1%
10.0 330
 
5.1%
11.0 1
 
< 0.1%
12.5 3
 
< 0.1%
13.0 1
 
< 0.1%
15.0 33
 
0.5%
ValueCountFrequency (%)
100.0 62
 
1.0%
90.0 2
 
< 0.1%
80.0 7
 
0.1%
70.0 10
 
0.2%
67.0 1
 
< 0.1%
60.0 14
 
0.2%
55.0 2
 
< 0.1%
50.0 316
4.9%
45.0 1
 
< 0.1%
40.0 145
2.2%

주말 18시 - 21시(퍼센트)
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.3294317
Minimum0
Maximum100
Zeros4398
Zeros (%)67.7%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:15.593127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q320
95-th percentile50
Maximum100
Range100
Interquartile range (IQR)20

Descriptive statistics

Standard deviation16.555604
Coefficient of variation (CV)1.7745565
Kurtosis3.8939067
Mean9.3294317
Median Absolute Deviation (MAD)0
Skewness1.9632832
Sum60576
Variance274.08801
MonotonicityNot monotonic
2023-12-13T03:26:15.744583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.0 4398
67.7%
20.0 629
 
9.7%
50.0 474
 
7.3%
10.0 372
 
5.7%
30.0 302
 
4.7%
40.0 110
 
1.7%
25.0 63
 
1.0%
15.0 42
 
0.6%
5.0 29
 
0.4%
100.0 22
 
0.3%
Other values (16) 52
 
0.8%
ValueCountFrequency (%)
0.0 4398
67.7%
1.0 1
 
< 0.1%
2.0 2
 
< 0.1%
5.0 29
 
0.4%
7.0 1
 
< 0.1%
10.0 372
 
5.7%
12.5 2
 
< 0.1%
15.0 42
 
0.6%
17.0 1
 
< 0.1%
20.0 629
 
9.7%
ValueCountFrequency (%)
100.0 22
 
0.3%
90.0 2
 
< 0.1%
80.0 4
 
0.1%
70.0 4
 
0.1%
60.0 18
 
0.3%
55.0 3
 
< 0.1%
50.0 474
7.3%
45.0 2
 
< 0.1%
40.0 110
 
1.7%
37.5 2
 
< 0.1%

주말 21시 - 24시(퍼센트)
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4139843
Minimum0
Maximum100
Zeros5404
Zeros (%)83.2%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:15.911434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile20
Maximum100
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.8540115
Coefficient of variation (CV)2.886367
Kurtosis16.441046
Mean3.4139843
Median Absolute Deviation (MAD)0
Skewness3.7985773
Sum22167
Variance97.101542
MonotonicityNot monotonic
2023-12-13T03:26:16.078660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 5404
83.2%
10 419
 
6.5%
20 273
 
4.2%
50 153
 
2.4%
5 89
 
1.4%
30 57
 
0.9%
15 31
 
0.5%
40 27
 
0.4%
25 12
 
0.2%
3 7
 
0.1%
Other values (14) 21
 
0.3%
ValueCountFrequency (%)
0 5404
83.2%
1 2
 
< 0.1%
2 1
 
< 0.1%
3 7
 
0.1%
4 1
 
< 0.1%
5 89
 
1.4%
6 1
 
< 0.1%
7 1
 
< 0.1%
8 2
 
< 0.1%
10 419
 
6.5%
ValueCountFrequency (%)
100 2
 
< 0.1%
90 1
 
< 0.1%
80 3
 
< 0.1%
60 3
 
< 0.1%
50 153
2.4%
40 27
 
0.4%
35 1
 
< 0.1%
34 1
 
< 0.1%
30 57
 
0.9%
25 12
 
0.2%

주말 24시 - 06시(퍼센트)
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.37871554
Minimum0
Maximum100
Zeros6288
Zeros (%)96.8%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:16.256436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum100
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.1256728
Coefficient of variation (CV)8.2533523
Kurtosis327.22344
Mean0.37871554
Median Absolute Deviation (MAD)0
Skewness15.464752
Sum2459
Variance9.7698303
MonotonicityNot monotonic
2023-12-13T03:26:16.394293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 6288
96.8%
10 89
 
1.4%
5 65
 
1.0%
20 12
 
0.2%
2 8
 
0.1%
50 7
 
0.1%
40 6
 
0.1%
1 5
 
0.1%
15 3
 
< 0.1%
30 2
 
< 0.1%
Other values (7) 8
 
0.1%
ValueCountFrequency (%)
0 6288
96.8%
1 5
 
0.1%
2 8
 
0.1%
5 65
 
1.0%
6 2
 
< 0.1%
10 89
 
1.4%
11 1
 
< 0.1%
15 3
 
< 0.1%
19 1
 
< 0.1%
20 12
 
0.2%
ValueCountFrequency (%)
100 1
 
< 0.1%
80 1
 
< 0.1%
50 7
0.1%
45 1
 
< 0.1%
40 6
0.1%
30 2
 
< 0.1%
21 1
 
< 0.1%
20 12
0.2%
19 1
 
< 0.1%
15 3
 
< 0.1%

고유가대응1순위
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0309564
Minimum0
Maximum10
Zeros3310
Zeros (%)51.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:16.566214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile9
Maximum10
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.8163324
Coefficient of variation (CV)1.3867025
Kurtosis0.28131468
Mean2.0309564
Median Absolute Deviation (MAD)0
Skewness1.2543909
Sum13187
Variance7.9317279
MonotonicityNot monotonic
2023-12-13T03:26:16.726720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 3310
51.0%
3 818
 
12.6%
1 763
 
11.8%
6 554
 
8.5%
9 336
 
5.2%
2 247
 
3.8%
7 197
 
3.0%
8 119
 
1.8%
5 93
 
1.4%
4 38
 
0.6%
ValueCountFrequency (%)
0 3310
51.0%
1 763
 
11.8%
2 247
 
3.8%
3 818
 
12.6%
4 38
 
0.6%
5 93
 
1.4%
6 554
 
8.5%
7 197
 
3.0%
8 119
 
1.8%
9 336
 
5.2%
ValueCountFrequency (%)
10 18
 
0.3%
9 336
5.2%
8 119
 
1.8%
7 197
 
3.0%
6 554
8.5%
5 93
 
1.4%
4 38
 
0.6%
3 818
12.6%
2 247
 
3.8%
1 763
11.8%

고유가대응2순위
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0864007
Minimum0
Maximum10
Zeros3806
Zeros (%)58.6%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:16.866563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile9
Maximum10
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.9893663
Coefficient of variation (CV)1.4327862
Kurtosis-0.16333601
Mean2.0864007
Median Absolute Deviation (MAD)0
Skewness1.1399527
Sum13547
Variance8.9363107
MonotonicityNot monotonic
2023-12-13T03:26:17.004316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 3806
58.6%
6 601
 
9.3%
3 548
 
8.4%
9 408
 
6.3%
2 331
 
5.1%
7 251
 
3.9%
1 210
 
3.2%
8 128
 
2.0%
5 114
 
1.8%
4 93
 
1.4%
ValueCountFrequency (%)
0 3806
58.6%
1 210
 
3.2%
2 331
 
5.1%
3 548
 
8.4%
4 93
 
1.4%
5 114
 
1.8%
6 601
 
9.3%
7 251
 
3.9%
8 128
 
2.0%
9 408
 
6.3%
ValueCountFrequency (%)
10 3
 
< 0.1%
9 408
6.3%
8 128
 
2.0%
7 251
3.9%
6 601
9.3%
5 114
 
1.8%
4 93
 
1.4%
3 548
8.4%
2 331
5.1%
1 210
 
3.2%

고유가대응3순위
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.589712
Minimum0
Maximum10
Zeros4579
Zeros (%)70.5%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:17.171459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile9
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.8837882
Coefficient of variation (CV)1.8140318
Kurtosis1.0758695
Mean1.589712
Median Absolute Deviation (MAD)0
Skewness1.6117176
Sum10322
Variance8.3162343
MonotonicityNot monotonic
2023-12-13T03:26:17.322131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 4579
70.5%
9 431
 
6.6%
6 365
 
5.6%
2 261
 
4.0%
3 254
 
3.9%
1 160
 
2.5%
7 144
 
2.2%
8 126
 
1.9%
5 89
 
1.4%
4 82
 
1.3%
ValueCountFrequency (%)
0 4579
70.5%
1 160
 
2.5%
2 261
 
4.0%
3 254
 
3.9%
4 82
 
1.3%
5 89
 
1.4%
6 365
 
5.6%
7 144
 
2.2%
8 126
 
1.9%
9 431
 
6.6%
ValueCountFrequency (%)
10 2
 
< 0.1%
9 431
6.6%
8 126
 
1.9%
7 144
 
2.2%
6 365
5.6%
5 89
 
1.4%
4 82
 
1.3%
3 254
3.9%
2 261
4.0%
1 160
 
2.5%

고유가 대응 방법(기타)
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size50.9 KiB
0
6470 
없음
 
15
차량내 적재무게 감소
 
1
근거리 전동킥보드 이용
 
1
오토바이 이용
 
1
Other values (5)
 
5

Length

Max length15
Median length1
Mean length1.0112429
Min length1

Unique

Unique8 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 6470
99.6%
없음 15
 
0.2%
차량내 적재무게 감소 1
 
< 0.1%
근거리 전동킥보드 이용 1
 
< 0.1%
오토바이 이용 1
 
< 0.1%
보조차량인 경차이용 1
 
< 0.1%
. 1
 
< 0.1%
엔진오일 및 차량 정비 철저 1
 
< 0.1%
도보 1
 
< 0.1%
전동킥보드 이용 1
 
< 0.1%

Length

2023-12-13T03:26:17.534151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:26:17.706659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 6470
99.5%
없음 15
 
0.2%
이용 3
 
< 0.1%
전동킥보드 2
 
< 0.1%
1
 
< 0.1%
철저 1
 
< 0.1%
정비 1
 
< 0.1%
차량 1
 
< 0.1%
1
 
< 0.1%
엔진오일 1
 
< 0.1%
Other values (8) 8
 
0.1%
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size50.9 KiB
0
3310 
4
2668 
3
 
226
2
 
186
1
 
103

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row2
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
0 3310
51.0%
4 2668
41.1%
3 226
 
3.5%
2 186
 
2.9%
1 103
 
1.6%

Length

2023-12-13T03:26:17.892703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:26:18.029924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3310
51.0%
4 2668
41.1%
3 226
 
3.5%
2 186
 
2.9%
1 103
 
1.6%
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size50.9 KiB
0
3310 
4
2509 
3
 
261
1
 
215
2
 
198

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row3
3rd row1
4th row4
5th row1

Common Values

ValueCountFrequency (%)
0 3310
51.0%
4 2509
38.6%
3 261
 
4.0%
1 215
 
3.3%
2 198
 
3.0%

Length

2023-12-13T03:26:18.171044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:26:18.304533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3310
51.0%
4 2509
38.6%
3 261
 
4.0%
1 215
 
3.3%
2 198
 
3.0%

차교체시고려기준1순위
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)0.3%
Missing3257
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean3.5030902
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:18.414065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.5151761
Coefficient of variation (CV)0.71798782
Kurtosis-1.0439245
Mean3.5030902
Median Absolute Deviation (MAD)2
Skewness0.59424706
Sum11336
Variance6.326111
MonotonicityNot monotonic
2023-12-13T03:26:18.527248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 1141
 
17.6%
4 456
 
7.0%
8 400
 
6.2%
2 334
 
5.1%
3 324
 
5.0%
7 226
 
3.5%
5 187
 
2.9%
6 166
 
2.6%
9 2
 
< 0.1%
(Missing) 3257
50.2%
ValueCountFrequency (%)
1 1141
17.6%
2 334
 
5.1%
3 324
 
5.0%
4 456
 
7.0%
5 187
 
2.9%
6 166
 
2.6%
7 226
 
3.5%
8 400
 
6.2%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 400
 
6.2%
7 226
 
3.5%
6 166
 
2.6%
5 187
 
2.9%
4 456
 
7.0%
3 324
 
5.0%
2 334
 
5.1%
1 1141
17.6%

차교체시고려기준2순위
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)0.3%
Missing3438
Missing (%)52.9%
Infinite0
Infinite (%)0.0%
Mean4.3410802
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:18.669509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.2976451
Coefficient of variation (CV)0.52927958
Kurtosis-1.1069384
Mean4.3410802
Median Absolute Deviation (MAD)2
Skewness0.19463895
Sum13262
Variance5.279173
MonotonicityNot monotonic
2023-12-13T03:26:18.820516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
4 647
 
10.0%
8 453
 
7.0%
1 420
 
6.5%
3 369
 
5.7%
2 359
 
5.5%
5 295
 
4.5%
6 258
 
4.0%
7 252
 
3.9%
9 2
 
< 0.1%
(Missing) 3438
52.9%
ValueCountFrequency (%)
1 420
6.5%
2 359
5.5%
3 369
5.7%
4 647
10.0%
5 295
4.5%
6 258
 
4.0%
7 252
 
3.9%
8 453
7.0%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 453
7.0%
7 252
 
3.9%
6 258
 
4.0%
5 295
4.5%
4 647
10.0%
3 369
5.7%
2 359
5.5%
1 420
6.5%
Distinct4
Distinct (%)100.0%
Missing6489
Missing (%)99.9%
Memory size50.9 KiB
2023-12-13T03:26:18.996240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.25
Min length3

Characters and Unicode

Total characters17
Distinct characters16
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st row메이커
2nd row자율주행
3rd row자동차 연식
4th row적재공간
ValueCountFrequency (%)
메이커 1
20.0%
자율주행 1
20.0%
자동차 1
20.0%
연식 1
20.0%
적재공간 1
20.0%
2023-12-13T03:26:19.340475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2
 
11.8%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
Other values (6) 6
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16
94.1%
Space Separator 1
 
5.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2
 
12.5%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
Other values (5) 5
31.2%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16
94.1%
Common 1
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2
 
12.5%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
Other values (5) 5
31.2%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16
94.1%
ASCII 1
 
5.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2
 
12.5%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
Other values (5) 5
31.2%
ASCII
ValueCountFrequency (%)
1
100.0%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.9 KiB
<NA>
3257 
1
2877 
2
359 

Length

Max length4
Median length4
Mean length2.5048514
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3257
50.2%
1 2877
44.3%
2 359
 
5.5%

Length

2023-12-13T03:26:19.504752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:26:19.635567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3257
50.2%
1 2877
44.3%
2 359
 
5.5%

향후 희망하는 차량형태
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)0.2%
Missing3257
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean4.3782447
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:19.734765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q36
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.7395329
Coefficient of variation (CV)0.39731286
Kurtosis-1.0621135
Mean4.3782447
Median Absolute Deviation (MAD)1
Skewness0.10206586
Sum14168
Variance3.0259748
MonotonicityNot monotonic
2023-12-13T03:26:19.857246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 999
 
15.4%
6 653
 
10.1%
4 570
 
8.8%
7 457
 
7.0%
5 223
 
3.4%
2 171
 
2.6%
1 141
 
2.2%
8 22
 
0.3%
(Missing) 3257
50.2%
ValueCountFrequency (%)
1 141
 
2.2%
2 171
 
2.6%
3 999
15.4%
4 570
8.8%
5 223
 
3.4%
6 653
10.1%
7 457
7.0%
8 22
 
0.3%
ValueCountFrequency (%)
8 22
 
0.3%
7 457
7.0%
6 653
10.1%
5 223
 
3.4%
4 570
8.8%
3 999
15.4%
2 171
 
2.6%
1 141
 
2.2%

향후 희망하는 사용연료
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)0.2%
Missing3257
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean2.8955501
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:19.977037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.0076127
Coefficient of variation (CV)0.69334415
Kurtosis-0.97958232
Mean2.8955501
Median Absolute Deviation (MAD)1
Skewness0.63306808
Sum9370
Variance4.0305088
MonotonicityNot monotonic
2023-12-13T03:26:20.095101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 1295
 
19.9%
4 605
 
9.3%
2 478
 
7.4%
6 387
 
6.0%
7 175
 
2.7%
3 164
 
2.5%
5 132
 
2.0%
(Missing) 3257
50.2%
ValueCountFrequency (%)
1 1295
19.9%
2 478
 
7.4%
3 164
 
2.5%
4 605
9.3%
5 132
 
2.0%
6 387
 
6.0%
7 175
 
2.7%
ValueCountFrequency (%)
7 175
 
2.7%
6 387
 
6.0%
5 132
 
2.0%
4 605
9.3%
3 164
 
2.5%
2 478
 
7.4%
1 1295
19.9%
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size50.9 KiB
<NA>
3257 
1
2163 
2
998 
3
 
71
4
 
4

Length

Max length4
Median length4
Mean length2.5048514
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3257
50.2%
1 2163
33.3%
2 998
 
15.4%
3 71
 
1.1%
4 4
 
0.1%

Length

2023-12-13T03:26:20.227448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:26:20.342935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3257
50.2%
1 2163
33.3%
2 998
 
15.4%
3 71
 
1.1%
4 4
 
0.1%
Distinct8
Distinct (%)0.6%
Missing5194
Missing (%)80.0%
Infinite0
Infinite (%)0.0%
Mean4.3872209
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:20.451509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median4
Q37
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.8390611
Coefficient of variation (CV)0.64712062
Kurtosis-1.6965898
Mean4.3872209
Median Absolute Deviation (MAD)3
Skewness0.073776388
Sum5699
Variance8.060268
MonotonicityNot monotonic
2023-12-13T03:26:20.574394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 331
 
5.1%
8 295
 
4.5%
7 202
 
3.1%
2 182
 
2.8%
3 102
 
1.6%
4 78
 
1.2%
6 67
 
1.0%
5 42
 
0.6%
(Missing) 5194
80.0%
ValueCountFrequency (%)
1 331
5.1%
2 182
2.8%
3 102
 
1.6%
4 78
 
1.2%
5 42
 
0.6%
6 67
 
1.0%
7 202
3.1%
8 295
4.5%
ValueCountFrequency (%)
8 295
4.5%
7 202
3.1%
6 67
 
1.0%
5 42
 
0.6%
4 78
 
1.2%
3 102
 
1.6%
2 182
2.8%
1 331
5.1%
Distinct9
Distinct (%)0.7%
Missing5261
Missing (%)81.0%
Infinite0
Infinite (%)0.0%
Mean4.6574675
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:20.705593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q37
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.5138853
Coefficient of variation (CV)0.53975369
Kurtosis-1.5570742
Mean4.6574675
Median Absolute Deviation (MAD)2
Skewness0.021595837
Sum5738
Variance6.3196193
MonotonicityNot monotonic
2023-12-13T03:26:20.816594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2 255
 
3.9%
8 230
 
3.5%
7 221
 
3.4%
3 151
 
2.3%
1 118
 
1.8%
4 93
 
1.4%
5 89
 
1.4%
6 74
 
1.1%
9 1
 
< 0.1%
(Missing) 5261
81.0%
ValueCountFrequency (%)
1 118
1.8%
2 255
3.9%
3 151
2.3%
4 93
 
1.4%
5 89
 
1.4%
6 74
 
1.1%
7 221
3.4%
8 230
3.5%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 230
3.5%
7 221
3.4%
6 74
 
1.1%
5 89
 
1.4%
4 93
 
1.4%
3 151
2.3%
2 255
3.9%
1 118
1.8%
Distinct9
Distinct (%)1.0%
Missing5550
Missing (%)85.5%
Infinite0
Infinite (%)0.0%
Mean4.4835631
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:20.928587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q37
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.4554405
Coefficient of variation (CV)0.54765383
Kurtosis-1.4159549
Mean4.4835631
Median Absolute Deviation (MAD)2
Skewness0.10909599
Sum4228
Variance6.0291881
MonotonicityNot monotonic
2023-12-13T03:26:21.071295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
8 160
 
2.5%
2 156
 
2.4%
3 145
 
2.2%
1 116
 
1.8%
6 108
 
1.7%
7 105
 
1.6%
4 75
 
1.2%
5 75
 
1.2%
9 3
 
< 0.1%
(Missing) 5550
85.5%
ValueCountFrequency (%)
1 116
1.8%
2 156
2.4%
3 145
2.2%
4 75
1.2%
5 75
1.2%
6 108
1.7%
7 105
1.6%
8 160
2.5%
9 3
 
< 0.1%
ValueCountFrequency (%)
9 3
 
< 0.1%
8 160
2.5%
7 105
1.6%
6 108
1.7%
5 75
1.2%
4 75
1.2%
3 145
2.2%
2 156
2.4%
1 116
1.8%
Distinct4
Distinct (%)100.0%
Missing6489
Missing (%)99.9%
Memory size50.9 KiB
2023-12-13T03:26:21.246488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length5
Min length3

Characters and Unicode

Total characters20
Distinct characters17
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st row운행편의성
2nd row유행인 것 같아서
3rd row고성능
4th row호기심
ValueCountFrequency (%)
운행편의성 1
16.7%
유행인 1
16.7%
1
16.7%
같아서 1
16.7%
고성능 1
16.7%
호기심 1
16.7%
2023-12-13T03:26:21.530957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2
 
10.0%
2
 
10.0%
2
 
10.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
1
 
5.0%
Other values (7) 7
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18
90.0%
Space Separator 2
 
10.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2
 
11.1%
2
 
11.1%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
Other values (6) 6
33.3%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18
90.0%
Common 2
 
10.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2
 
11.1%
2
 
11.1%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
Other values (6) 6
33.3%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18
90.0%
ASCII 2
 
10.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2
 
11.1%
2
 
11.1%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
Other values (6) 6
33.3%
ASCII
ValueCountFrequency (%)
2
100.0%
Distinct6
Distinct (%)0.3%
Missing4556
Missing (%)70.2%
Infinite0
Infinite (%)0.0%
Mean2.8182757
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:21.664359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.5996566
Coefficient of variation (CV)0.56760119
Kurtosis-0.94842915
Mean2.8182757
Median Absolute Deviation (MAD)1
Skewness0.49067077
Sum5459
Variance2.5589014
MonotonicityNot monotonic
2023-12-13T03:26:21.770953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 534
 
8.2%
2 431
 
6.6%
3 341
 
5.3%
4 251
 
3.9%
5 244
 
3.8%
6 136
 
2.1%
(Missing) 4556
70.2%
ValueCountFrequency (%)
1 534
8.2%
2 431
6.6%
3 341
5.3%
4 251
3.9%
5 244
3.8%
6 136
 
2.1%
ValueCountFrequency (%)
6 136
 
2.1%
5 244
3.8%
4 251
3.9%
3 341
5.3%
2 431
6.6%
1 534
8.2%
Distinct6
Distinct (%)1.0%
Missing5888
Missing (%)90.7%
Infinite0
Infinite (%)0.0%
Mean2.1735537
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:21.883797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.072517
Coefficient of variation (CV)0.4934394
Kurtosis0.12633729
Mean2.1735537
Median Absolute Deviation (MAD)1
Skewness0.90224448
Sum1315
Variance1.1502928
MonotonicityNot monotonic
2023-12-13T03:26:22.002137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 278
 
4.3%
1 169
 
2.6%
4 81
 
1.2%
3 60
 
0.9%
5 16
 
0.2%
6 1
 
< 0.1%
(Missing) 5888
90.7%
ValueCountFrequency (%)
1 169
2.6%
2 278
4.3%
3 60
 
0.9%
4 81
 
1.2%
5 16
 
0.2%
6 1
 
< 0.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
5 16
 
0.2%
4 81
 
1.2%
3 60
 
0.9%
2 278
4.3%
1 169
2.6%
Distinct1
Distinct (%)100.0%
Missing6492
Missing (%)> 99.9%
Memory size50.9 KiB
2023-12-13T03:26:22.131454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row잘모름
ValueCountFrequency (%)
잘모름 1
100.0%
2023-12-13T03:26:22.366513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

추가차량보유대수
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4800554
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:22.467410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.60403592
Coefficient of variation (CV)0.40811709
Kurtosis4.5479613
Mean1.4800554
Median Absolute Deviation (MAD)0
Skewness1.2636357
Sum9610
Variance0.36485939
MonotonicityNot monotonic
2023-12-13T03:26:22.571458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 3694
56.9%
2 2517
38.8%
3 256
 
3.9%
4 20
 
0.3%
5 5
 
0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
1 3694
56.9%
2 2517
38.8%
3 256
 
3.9%
4 20
 
0.3%
5 5
 
0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
5 5
 
0.1%
4 20
 
0.3%
3 256
 
3.9%
2 2517
38.8%
1 3694
56.9%

추가1 차종
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0177114
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:22.671242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q37
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.5213495
Coefficient of variation (CV)0.50248994
Kurtosis-1.2660658
Mean5.0177114
Median Absolute Deviation (MAD)2
Skewness0.24090087
Sum32580
Variance6.3572032
MonotonicityNot monotonic
2023-12-13T03:26:23.044451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3 1739
26.8%
6 955
14.7%
9 909
14.0%
4 651
 
10.0%
8 635
 
9.8%
2 564
 
8.7%
7 428
 
6.6%
1 354
 
5.5%
5 258
 
4.0%
ValueCountFrequency (%)
1 354
 
5.5%
2 564
 
8.7%
3 1739
26.8%
4 651
 
10.0%
5 258
 
4.0%
6 955
14.7%
7 428
 
6.6%
8 635
 
9.8%
9 909
14.0%
ValueCountFrequency (%)
9 909
14.0%
8 635
 
9.8%
7 428
 
6.6%
6 955
14.7%
5 258
 
4.0%
4 651
 
10.0%
3 1739
26.8%
2 564
 
8.7%
1 354
 
5.5%
Distinct92
Distinct (%)10.2%
Missing5587
Missing (%)86.0%
Memory size50.9 KiB
2023-12-13T03:26:23.199365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length3.1015453
Min length1

Characters and Unicode

Total characters2810
Distinct characters78
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)6.5%

Sample

1st row화물
2nd row화물
3rd row화물차
4th row화물
5th row화물
ValueCountFrequency (%)
화물차 214
23.4%
화물 206
22.5%
트럭 109
11.9%
이륜차 89
9.7%
일반화물1톤 63
 
6.9%
이륜 48
 
5.2%
오토바이 19
 
2.1%
덤프 12
 
1.3%
일반화물4.5톤 11
 
1.2%
화물밴 10
 
1.1%
Other values (81) 134
14.6%
2023-12-13T03:26:23.475525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
556
19.8%
554
19.7%
320
11.4%
160
 
5.7%
141
 
5.0%
133
 
4.7%
130
 
4.6%
130
 
4.6%
1 105
 
3.7%
100
 
3.6%
Other values (68) 481
17.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2577
91.7%
Decimal Number 186
 
6.6%
Other Punctuation 37
 
1.3%
Space Separator 9
 
0.3%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
556
21.6%
554
21.5%
320
12.4%
160
 
6.2%
141
 
5.5%
133
 
5.2%
130
 
5.0%
130
 
5.0%
100
 
3.9%
100
 
3.9%
Other values (54) 253
9.8%
Decimal Number
ValueCountFrequency (%)
1 105
56.5%
5 30
 
16.1%
4 18
 
9.7%
2 15
 
8.1%
0 4
 
2.2%
6 4
 
2.2%
8 4
 
2.2%
7 3
 
1.6%
9 2
 
1.1%
3 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
. 35
94.6%
, 2
 
5.4%
Space Separator
ValueCountFrequency (%)
9
100.0%
Lowercase Letter
ValueCountFrequency (%)
t 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2577
91.7%
Common 232
 
8.3%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
556
21.6%
554
21.5%
320
12.4%
160
 
6.2%
141
 
5.5%
133
 
5.2%
130
 
5.0%
130
 
5.0%
100
 
3.9%
100
 
3.9%
Other values (54) 253
9.8%
Common
ValueCountFrequency (%)
1 105
45.3%
. 35
 
15.1%
5 30
 
12.9%
4 18
 
7.8%
2 15
 
6.5%
9
 
3.9%
0 4
 
1.7%
6 4
 
1.7%
8 4
 
1.7%
7 3
 
1.3%
Other values (3) 5
 
2.2%
Latin
ValueCountFrequency (%)
t 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2577
91.7%
ASCII 233
 
8.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
556
21.6%
554
21.5%
320
12.4%
160
 
6.2%
141
 
5.5%
133
 
5.2%
130
 
5.0%
130
 
5.0%
100
 
3.9%
100
 
3.9%
Other values (54) 253
9.8%
ASCII
ValueCountFrequency (%)
1 105
45.1%
. 35
 
15.0%
5 30
 
12.9%
4 18
 
7.7%
2 15
 
6.4%
9
 
3.9%
0 4
 
1.7%
6 4
 
1.7%
8 4
 
1.7%
7 3
 
1.3%
Other values (4) 6
 
2.6%

추가1 사용연료
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)0.3%
Missing3696
Missing (%)56.9%
Infinite0
Infinite (%)0.0%
Mean1.5820522
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:23.568584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.84373035
Coefficient of variation (CV)0.53331385
Kurtosis8.1484416
Mean1.5820522
Median Absolute Deviation (MAD)0
Skewness2.3709521
Sum4425
Variance0.71188091
MonotonicityNot monotonic
2023-12-13T03:26:23.663789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 1545
23.8%
2 1058
 
16.3%
3 79
 
1.2%
4 76
 
1.2%
6 24
 
0.4%
5 13
 
0.2%
7 2
 
< 0.1%
(Missing) 3696
56.9%
ValueCountFrequency (%)
1 1545
23.8%
2 1058
16.3%
3 79
 
1.2%
4 76
 
1.2%
5 13
 
0.2%
6 24
 
0.4%
7 2
 
< 0.1%
ValueCountFrequency (%)
7 2
 
< 0.1%
6 24
 
0.4%
5 13
 
0.2%
4 76
 
1.2%
3 79
 
1.2%
2 1058
16.3%
1 1545
23.8%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.9 KiB
<NA>
6469 
1
 
23
2
 
1

Length

Max length4
Median length4
Mean length3.9889111
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6469
99.6%
1 23
 
0.4%
2 1
 
< 0.1%

Length

2023-12-13T03:26:23.798006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:26:23.897497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6469
99.6%
1 23
 
0.4%
2 1
 
< 0.1%

추가2 차종
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)3.2%
Missing6211
Missing (%)95.7%
Infinite0
Infinite (%)0.0%
Mean5.9964539
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:23.983744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median8
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.0865317
Coefficient of variation (CV)0.51472616
Kurtosis-1.5703404
Mean5.9964539
Median Absolute Deviation (MAD)1
Skewness-0.38133938
Sum1691
Variance9.5266778
MonotonicityNot monotonic
2023-12-13T03:26:24.094408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
9 107
 
1.6%
3 40
 
0.6%
8 38
 
0.6%
2 32
 
0.5%
1 25
 
0.4%
4 12
 
0.2%
6 11
 
0.2%
5 9
 
0.1%
7 8
 
0.1%
(Missing) 6211
95.7%
ValueCountFrequency (%)
1 25
 
0.4%
2 32
 
0.5%
3 40
 
0.6%
4 12
 
0.2%
5 9
 
0.1%
6 11
 
0.2%
7 8
 
0.1%
8 38
 
0.6%
9 107
1.6%
ValueCountFrequency (%)
9 107
1.6%
8 38
 
0.6%
7 8
 
0.1%
6 11
 
0.2%
5 9
 
0.1%
4 12
 
0.2%
3 40
 
0.6%
2 32
 
0.5%
1 25
 
0.4%

추가2 차종(퍼센트)(기타)
Categorical

IMBALANCE 

Distinct17
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size50.9 KiB
<NA>
6386 
화물
 
33
화물차
 
28
이륜차
 
20
트럭
 
9
Other values (12)
 
17

Length

Max length7
Median length4
Mean length3.9802865
Min length2

Unique

Unique9 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6386
98.4%
화물 33
 
0.5%
화물차 28
 
0.4%
이륜차 20
 
0.3%
트럭 9
 
0.1%
이륜 3
 
< 0.1%
초소형전기차 3
 
< 0.1%
오토바이 2
 
< 0.1%
화물밴 1
 
< 0.1%
1톤봉고 1
 
< 0.1%
Other values (7) 7
 
0.1%

Length

2023-12-13T03:26:24.211360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 6386
98.3%
화물 33
 
0.5%
화물차 28
 
0.4%
이륜차 20
 
0.3%
트럭 10
 
0.2%
이륜 3
 
< 0.1%
초소형전기차 3
 
< 0.1%
오토바이 2
 
< 0.1%
1톤트럭 1
 
< 0.1%
5톤트럭 1
 
< 0.1%
Other values (8) 8
 
0.1%

추가2 사용연료
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)2.1%
Missing6212
Missing (%)95.7%
Infinite0
Infinite (%)0.0%
Mean1.7259786
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:24.308203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.91397944
Coefficient of variation (CV)0.52954273
Kurtosis7.1497673
Mean1.7259786
Median Absolute Deviation (MAD)1
Skewness2.2664002
Sum485
Variance0.83535841
MonotonicityNot monotonic
2023-12-13T03:26:24.408492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 134
 
2.1%
1 125
 
1.9%
4 8
 
0.1%
3 7
 
0.1%
6 4
 
0.1%
5 3
 
< 0.1%
(Missing) 6212
95.7%
ValueCountFrequency (%)
1 125
1.9%
2 134
2.1%
3 7
 
0.1%
4 8
 
0.1%
5 3
 
< 0.1%
6 4
 
0.1%
ValueCountFrequency (%)
6 4
 
0.1%
5 3
 
< 0.1%
4 8
 
0.1%
3 7
 
0.1%
2 134
2.1%
1 125
1.9%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.9 KiB
<NA>
6489 
1
 
3
3
 
1

Length

Max length4
Median length4
Mean length3.9981519
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6489
99.9%
1 3
 
< 0.1%
3 1
 
< 0.1%

Length

2023-12-13T03:26:24.524529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:26:24.619025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6489
99.9%
1 3
 
< 0.1%
3 1
 
< 0.1%
Distinct38
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.655013
Minimum34
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:24.711654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34
5-th percentile50
Q170
median100
Q3100
95-th percentile100
Maximum100
Range66
Interquartile range (IQR)30

Descriptive statistics

Standard deviation18.877353
Coefficient of variation (CV)0.22038819
Kurtosis-0.84875969
Mean85.655013
Median Absolute Deviation (MAD)0
Skewness-0.84104368
Sum556158
Variance356.35447
MonotonicityNot monotonic
2023-12-13T03:26:24.839104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
100 3767
58.0%
60 617
 
9.5%
70 604
 
9.3%
50 557
 
8.6%
80 470
 
7.2%
90 165
 
2.5%
40 67
 
1.0%
65 58
 
0.9%
55 52
 
0.8%
75 36
 
0.6%
Other values (28) 100
 
1.5%
ValueCountFrequency (%)
34 2
 
< 0.1%
35 4
 
0.1%
36 1
 
< 0.1%
40 67
 
1.0%
45 2
 
< 0.1%
50 557
8.6%
52 1
 
< 0.1%
55 52
 
0.8%
56 1
 
< 0.1%
57 2
 
< 0.1%
ValueCountFrequency (%)
100 3767
58.0%
99 4
 
0.1%
98 2
 
< 0.1%
97 1
 
< 0.1%
95 35
 
0.5%
92 1
 
< 0.1%
90 165
 
2.5%
89 1
 
< 0.1%
85 10
 
0.2%
82 1
 
< 0.1%

추가1 사용비중(퍼센트)
Real number (ℝ)

MISSING  ZEROS 

Distinct36
Distinct (%)1.3%
Missing3694
Missing (%)56.9%
Infinite0
Infinite (%)0.0%
Mean31.420865
Minimum0
Maximum50
Zeros74
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:24.968862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q120
median30
Q340
95-th percentile50
Maximum50
Range50
Interquartile range (IQR)20

Descriptive statistics

Standard deviation13.142511
Coefficient of variation (CV)0.41827337
Kurtosis-0.52322077
Mean31.420865
Median Absolute Deviation (MAD)10
Skewness-0.37489268
Sum87947
Variance172.7256
MonotonicityNot monotonic
2023-12-13T03:26:25.110279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
30 682
 
10.5%
40 611
 
9.4%
20 519
 
8.0%
50 459
 
7.1%
10 178
 
2.7%
0 74
 
1.1%
35 62
 
1.0%
45 59
 
0.9%
25 47
 
0.7%
5 41
 
0.6%
Other values (26) 67
 
1.0%
(Missing) 3694
56.9%
ValueCountFrequency (%)
0 74
1.1%
1 4
 
0.1%
2 3
 
< 0.1%
3 1
 
< 0.1%
5 41
 
0.6%
8 1
 
< 0.1%
10 178
2.7%
11 1
 
< 0.1%
15 12
 
0.2%
18 1
 
< 0.1%
ValueCountFrequency (%)
50 459
7.1%
49 1
 
< 0.1%
48 1
 
< 0.1%
45 59
 
0.9%
44 1
 
< 0.1%
43 3
 
< 0.1%
42 4
 
0.1%
40 611
9.4%
39 2
 
< 0.1%
38 1
 
< 0.1%

추가2 사용비중(퍼센트)
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)4.3%
Missing6211
Missing (%)95.7%
Infinite0
Infinite (%)0.0%
Mean18.421986
Minimum0
Maximum40
Zeros15
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:25.233932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.05
Q110
median20
Q330
95-th percentile30
Maximum40
Range40
Interquartile range (IQR)20

Descriptive statistics

Standard deviation9.9433956
Coefficient of variation (CV)0.53975699
Kurtosis-0.96957295
Mean18.421986
Median Absolute Deviation (MAD)10
Skewness-0.090683119
Sum5195
Variance98.871116
MonotonicityNot monotonic
2023-12-13T03:26:25.351806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
20 80
 
1.2%
30 74
 
1.1%
10 73
 
1.1%
5 15
 
0.2%
0 15
 
0.2%
25 10
 
0.2%
40 5
 
0.1%
1 4
 
0.1%
15 2
 
< 0.1%
33 2
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 6211
95.7%
ValueCountFrequency (%)
0 15
 
0.2%
1 4
 
0.1%
2 1
 
< 0.1%
5 15
 
0.2%
10 73
1.1%
15 2
 
< 0.1%
18 1
 
< 0.1%
20 80
1.2%
25 10
 
0.2%
30 74
1.1%
ValueCountFrequency (%)
40 5
 
0.1%
33 2
 
< 0.1%
30 74
1.1%
25 10
 
0.2%
20 80
1.2%
18 1
 
< 0.1%
15 2
 
< 0.1%
10 73
1.1%
5 15
 
0.2%
2 1
 
< 0.1%

주차장 확보여부
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size50.9 KiB
1
5050 
4
537 
2
518 
3
 
373
5
 
15

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 5050
77.8%
4 537
 
8.3%
2 518
 
8.0%
3 373
 
5.7%
5 15
 
0.2%

Length

2023-12-13T03:26:25.475429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:26:25.594402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5050
77.8%
4 537
 
8.3%
2 518
 
8.0%
3 373
 
5.7%
5 15
 
0.2%
Distinct11
Distinct (%)73.3%
Missing6478
Missing (%)99.8%
Memory size50.9 KiB
2023-12-13T03:26:25.812083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length6.2
Min length2

Characters and Unicode

Total characters93
Distinct characters30
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)60.0%

Sample

1st row사업장주차장
2nd row유료주차장
3rd row유료주차장
4th row유료주차장
5th row학교에주차
ValueCountFrequency (%)
유료주차장 3
 
13.0%
직장주변주차장 3
 
13.0%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
단독이라 1
 
4.3%
노상주차장 1
 
4.3%
직장근처 1
 
4.3%
직장내주차장 1
 
4.3%
Other values (9) 9
39.1%
2023-12-13T03:26:26.209672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17
18.3%
15
16.1%
12
12.9%
8
 
8.6%
5
 
5.4%
3
 
3.2%
3
 
3.2%
3
 
3.2%
3
 
3.2%
2
 
2.2%
Other values (20) 22
23.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 85
91.4%
Space Separator 8
 
8.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
17
20.0%
15
17.6%
12
14.1%
5
 
5.9%
3
 
3.5%
3
 
3.5%
3
 
3.5%
3
 
3.5%
2
 
2.4%
2
 
2.4%
Other values (19) 20
23.5%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 85
91.4%
Common 8
 
8.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
17
20.0%
15
17.6%
12
14.1%
5
 
5.9%
3
 
3.5%
3
 
3.5%
3
 
3.5%
3
 
3.5%
2
 
2.4%
2
 
2.4%
Other values (19) 20
23.5%
Common
ValueCountFrequency (%)
8
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 85
91.4%
ASCII 8
 
8.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
17
20.0%
15
17.6%
12
14.1%
5
 
5.9%
3
 
3.5%
3
 
3.5%
3
 
3.5%
3
 
3.5%
2
 
2.4%
2
 
2.4%
Other values (19) 20
23.5%
ASCII
ValueCountFrequency (%)
8
100.0%
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size50.9 KiB
2
3261 
1
1951 
3
995 
4
 
207
5
 
79

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row4
3rd row2
4th row1
5th row2

Common Values

ValueCountFrequency (%)
2 3261
50.2%
1 1951
30.0%
3 995
 
15.3%
4 207
 
3.2%
5 79
 
1.2%

Length

2023-12-13T03:26:26.342168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:26:26.444571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 3261
50.2%
1 1951
30.0%
3 995
 
15.3%
4 207
 
3.2%
5 79
 
1.2%
Distinct35
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.87217
Minimum0
Maximum100
Zeros26
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:26.576469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile50
Q180
median99
Q3100
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)20

Descriptive statistics

Standard deviation18.506464
Coefficient of variation (CV)0.20823688
Kurtosis6.4362682
Mean88.87217
Median Absolute Deviation (MAD)1
Skewness-2.4367072
Sum577047
Variance342.4892
MonotonicityNot monotonic
2023-12-13T03:26:26.716415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
100 3193
49.2%
90 877
 
13.5%
80 717
 
11.0%
95 521
 
8.0%
70 261
 
4.0%
50 199
 
3.1%
60 142
 
2.2%
99 99
 
1.5%
98 83
 
1.3%
20 59
 
0.9%
Other values (25) 342
 
5.3%
ValueCountFrequency (%)
0 26
0.4%
3 3
 
< 0.1%
5 10
 
0.2%
10 52
0.8%
15 1
 
< 0.1%
20 59
0.9%
28 1
 
< 0.1%
30 53
0.8%
35 1
 
< 0.1%
40 34
0.5%
ValueCountFrequency (%)
100 3193
49.2%
99 99
 
1.5%
98 83
 
1.3%
97 14
 
0.2%
96 2
 
< 0.1%
95 521
 
8.0%
94 1
 
< 0.1%
92 2
 
< 0.1%
90 877
 
13.5%
88 2
 
< 0.1%

대중교통 이용 비중(퍼센트)
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.12783
Minimum0
Maximum100
Zeros3193
Zeros (%)49.2%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:26.861987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q320
95-th percentile50
Maximum100
Range100
Interquartile range (IQR)20

Descriptive statistics

Standard deviation18.506464
Coefficient of variation (CV)1.6630793
Kurtosis6.4362682
Mean11.12783
Median Absolute Deviation (MAD)1
Skewness2.4367072
Sum72253
Variance342.4892
MonotonicityNot monotonic
2023-12-13T03:26:27.039912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 3193
49.2%
10 877
 
13.5%
20 717
 
11.0%
5 521
 
8.0%
30 261
 
4.0%
50 199
 
3.1%
40 142
 
2.2%
1 99
 
1.5%
2 83
 
1.3%
80 59
 
0.9%
Other values (25) 342
 
5.3%
ValueCountFrequency (%)
0 3193
49.2%
1 99
 
1.5%
2 83
 
1.3%
3 14
 
0.2%
4 2
 
< 0.1%
5 521
 
8.0%
6 1
 
< 0.1%
8 2
 
< 0.1%
10 877
 
13.5%
12 2
 
< 0.1%
ValueCountFrequency (%)
100 26
0.4%
97 3
 
< 0.1%
95 10
 
0.2%
90 52
0.8%
85 1
 
< 0.1%
80 59
0.9%
72 1
 
< 0.1%
70 53
0.8%
65 1
 
< 0.1%
60 34
0.5%

운전경력
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6961343
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:27.155719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.7560508
Coefficient of variation (CV)0.37393538
Kurtosis-0.85285198
Mean4.6961343
Median Absolute Deviation (MAD)1
Skewness-0.35098442
Sum30492
Variance3.0837143
MonotonicityNot monotonic
2023-12-13T03:26:27.290140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 1363
21.0%
7 1304
20.1%
6 1064
16.4%
4 1051
16.2%
3 831
12.8%
2 588
9.1%
1 292
 
4.5%
ValueCountFrequency (%)
1 292
 
4.5%
2 588
9.1%
3 831
12.8%
4 1051
16.2%
5 1363
21.0%
6 1064
16.4%
7 1304
20.1%
ValueCountFrequency (%)
7 1304
20.1%
6 1064
16.4%
5 1363
21.0%
4 1051
16.2%
3 831
12.8%
2 588
9.1%
1 292
 
4.5%

연령
Real number (ℝ)

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.10134
Minimum4
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:27.415307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6
Q19
median10
Q312
95-th percentile13
Maximum13
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.0340341
Coefficient of variation (CV)0.20136281
Kurtosis-0.74512505
Mean10.10134
Median Absolute Deviation (MAD)2
Skewness-0.37169586
Sum65588
Variance4.1372949
MonotonicityNot monotonic
2023-12-13T03:26:27.537355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
11 1130
17.4%
10 1101
17.0%
12 1062
16.4%
13 843
13.0%
9 796
12.3%
8 744
11.5%
7 479
7.4%
6 287
 
4.4%
5 50
 
0.8%
4 1
 
< 0.1%
ValueCountFrequency (%)
4 1
 
< 0.1%
5 50
 
0.8%
6 287
 
4.4%
7 479
7.4%
8 744
11.5%
9 796
12.3%
10 1101
17.0%
11 1130
17.4%
12 1062
16.4%
13 843
13.0%
ValueCountFrequency (%)
13 843
13.0%
12 1062
16.4%
11 1130
17.4%
10 1101
17.0%
9 796
12.3%
8 744
11.5%
7 479
7.4%
6 287
 
4.4%
5 50
 
0.8%
4 1
 
< 0.1%

성별
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size50.9 KiB
1
4815 
2
1678 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 4815
74.2%
2 1678
 
25.8%

Length

2023-12-13T03:26:27.664626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:26:27.802519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4815
74.2%
2 1678
 
25.8%

최종학력
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4665024
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:27.920394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.4154092
Coefficient of variation (CV)0.31689432
Kurtosis-1.6205137
Mean4.4665024
Median Absolute Deviation (MAD)1
Skewness-0.16487038
Sum29001
Variance2.0033833
MonotonicityNot monotonic
2023-12-13T03:26:28.049067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 2562
39.5%
6 2422
37.3%
5 1195
18.4%
2 185
 
2.8%
4 103
 
1.6%
1 26
 
0.4%
ValueCountFrequency (%)
1 26
 
0.4%
2 185
 
2.8%
3 2562
39.5%
4 103
 
1.6%
5 1195
18.4%
6 2422
37.3%
ValueCountFrequency (%)
6 2422
37.3%
5 1195
18.4%
4 103
 
1.6%
3 2562
39.5%
2 185
 
2.8%
1 26
 
0.4%

직업
Real number (ℝ)

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.730479
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:28.177082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q37
95-th percentile9
Maximum10
Range9
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.2563779
Coefficient of variation (CV)0.4769872
Kurtosis-0.36177759
Mean4.730479
Median Absolute Deviation (MAD)1
Skewness0.6373502
Sum30715
Variance5.0912413
MonotonicityNot monotonic
2023-12-13T03:26:28.314314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3 1757
27.1%
4 1301
20.0%
7 883
13.6%
5 858
13.2%
8 446
 
6.9%
2 321
 
4.9%
1 316
 
4.9%
10 302
 
4.7%
6 186
 
2.9%
9 123
 
1.9%
ValueCountFrequency (%)
1 316
 
4.9%
2 321
 
4.9%
3 1757
27.1%
4 1301
20.0%
5 858
13.2%
6 186
 
2.9%
7 883
13.6%
8 446
 
6.9%
9 123
 
1.9%
10 302
 
4.7%
ValueCountFrequency (%)
10 302
 
4.7%
9 123
 
1.9%
8 446
 
6.9%
7 883
13.6%
6 186
 
2.9%
5 858
13.2%
4 1301
20.0%
3 1757
27.1%
2 321
 
4.9%
1 316
 
4.9%
Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.1965193
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:28.471867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median5
Q36
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.6610151
Coefficient of variation (CV)0.31963994
Kurtosis-0.076518482
Mean5.1965193
Median Absolute Deviation (MAD)1
Skewness0.4810423
Sum33741
Variance2.7589712
MonotonicityNot monotonic
2023-12-13T03:26:28.596775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
5 1648
25.4%
4 1517
23.4%
6 1224
18.9%
3 712
11.0%
7 530
 
8.2%
9 358
 
5.5%
8 340
 
5.2%
2 137
 
2.1%
1 27
 
0.4%
ValueCountFrequency (%)
1 27
 
0.4%
2 137
 
2.1%
3 712
11.0%
4 1517
23.4%
5 1648
25.4%
6 1224
18.9%
7 530
 
8.2%
8 340
 
5.2%
9 358
 
5.5%
ValueCountFrequency (%)
9 358
 
5.5%
8 340
 
5.2%
7 530
 
8.2%
6 1224
18.9%
5 1648
25.4%
4 1517
23.4%
3 712
11.0%
2 137
 
2.1%
1 27
 
0.4%
Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0882489
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.2 KiB
2023-12-13T03:26:28.712203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.0159263
Coefficient of variation (CV)0.32896515
Kurtosis-0.13025611
Mean3.0882489
Median Absolute Deviation (MAD)1
Skewness-0.19300076
Sum20052
Variance1.0321062
MonotonicityNot monotonic
2023-12-13T03:26:28.835235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
4 2323
35.8%
3 2080
32.0%
2 1396
21.5%
1 447
 
6.9%
5 210
 
3.2%
6 31
 
0.5%
7 4
 
0.1%
9 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
1 447
 
6.9%
2 1396
21.5%
3 2080
32.0%
4 2323
35.8%
5 210
 
3.2%
6 31
 
0.5%
7 4
 
0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 1
 
< 0.1%
7 4
 
0.1%
6 31
 
0.5%
5 210
 
3.2%
4 2323
35.8%
3 2080
32.0%
2 1396
21.5%
1 447
 
6.9%

Sample

번호조사지역_시도 코드차종화물차량종류출고연도출고월배기량승차정원최대 적재량변속장치사용연료등록형태주용도차량 구매 상태차량 중고 구매(양도) 년차량 중고 구매(양도) 월중고차 구매당시의 차량 총 주행거리출고후주행거리응답연간주행거리최종연간주행거리공인연비주행연비인지응답주행연비최종주행연비일평균주행거리주평균운행일수월평균주유횟수1회평균구입량1회평균구입비용출퇴근용사용여부출퇴근편도주행거리1회 주유(충전) 후 평균 주행거리출퇴근용(퍼센트)사업용(퍼센트)레저 및 장거리 여행용(퍼센트)가정일상 생활용(퍼센트)기타(퍼센트)(퍼센트)용도계(100퍼센트)주중 평균 주행거리주중 06시 - 09시(퍼센트)주중 09시 - 12시(퍼센트)주중 12시 - 15시(퍼센트)주중 15시 - 18시(퍼센트)주중 18시 - 21시(퍼센트)주중 21시 - 24시(퍼센트)주중 24시 - 06시(퍼센트)주말 평균 주행거리주말 06시 - 09시(퍼센트)주말 09시 - 12시(퍼센트)주말 12시 - 15시(퍼센트)주말 15시 - 18시(퍼센트)주말 18시 - 21시(퍼센트)주말 21시 - 24시(퍼센트)주말 24시 - 06시(퍼센트)고유가대응1순위고유가대응2순위고유가대응3순위고유가 대응 방법(기타)승용차함께타기승용차요일제차교체시고려기준1순위차교체시고려기준2순위차교체시고려기준(기타)국산수입차선택향후 희망하는 차량형태향후 희망하는 사용연료향후 희망하는 차종친환경 차량 선택 이유(퍼센트)1순위친환경 차량 선택 이유(퍼센트)2순위친환경 차량 선택 이유(퍼센트)3순위친환경 차량 선택 이유(퍼센트)(기타)친환경 차량 선택하지 않은 이유현재 거주지 주변 충전 인프라 여부현재 거주지 주변 충전 인프라 여부(기타)추가차량보유대수추가1 차종추가1 차종(퍼센트)(기타)추가1 사용연료추가1 사용연료-하이브리드추가2 차종추가2 차종(퍼센트)(기타)추가2 사용연료추가2 사용연료-하이브리드주차량 사용비중(퍼센트)추가1 사용비중(퍼센트)추가2 사용비중(퍼센트)주차장 확보여부주차장 확보여부(기타)거주지 인근 대중교통 접근성자가용 이용 비중(퍼센트)대중교통 이용 비중(퍼센트)운전경력연령성별최종학력직업2019년도가구의 월평균 총소득2019년도가구의 가족 수
07000079132<NA>200912200<NA><NA>12112<NA><NA><NA>195400.015041.615041.614.130.00.0506437.050.0<NA>12.0750805555100255000251510024050.00.00.00.050.00012004428<NA>1411<NA><NA><NA><NA>3<NA><NA>26<NA>1<NA><NA><NA><NA><NA>8020<NA>1<NA>290104916364
1700064022<NA>201822000<NA><NA>12111201729900017659.014901.7614901.7613.830.00.0125440.054.0<NA>12.020700102001001005000050001010.010.020.00.00.06001000235<NA><NA>11514<NA><NA><NA><NA><NA><NA>21<NA>2<NA><NA><NA><NA><NA>9010<NA>1<NA>495551015351
2700118821<NA>2006101499<NA><NA>11132<NA><NA><NA>65000.05280.05280.011.0212.012.0405320.029.020.020000010001005000100000200.037.50.025.037.50012304117<NA>1141678<NA><NA>1<NA>24<NA>1<NA><NA><NA><NA><NA>9010<NA>1<NA>2307071216394
3700161262<NA>201572000<NA><NA>12112<NA><NA><NA>200000.012254.412254.413.830.00.0307237.050.0<NA>30.0300800101001001505000050005020.010.015.015.010.0201036904474<NA>1651786<NA><NA><NA><NA>22<NA>2<NA><NA><NA><NA><NA>1000<NA>1<NA>110002613994
4700229221<NA>200861998<NA><NA>11111201710100000330000.030000.030000.010.029.09.0806540.059.0130.0600602510501001004020004000500.060.00.00.040.00036904175<NA>1461781<NA><NA><NA><NA>23<NA>1<NA><NA><NA><NA><NA>8020<NA>1<NA>2703061116194
5700426131<NA>201131999<NA><NA>11112<NA><NA><NA>138000.09000.09000.012.829.09.0205230.0<NA>111.0400601010200100120605520550200.00.00.070.030.00015402252<NA>1311<NA><NA><NA><NA>3<NA><NA>13<NA><NA><NA><NA><NA><NA><NA>100<NA><NA>1<NA>190101716334
67004431111<NA>201721999<NA><NA>13112<NA><NA><NA>21070.012440.012440.09.514.04.0407520.0<NA>18.04002020202020100820202010101010610.010.020.020.020.0101035702253<NA>1331<NA><NA><NA><NA>3<NA><NA>13<NA><NA><NA><NA><NA><NA><NA>100<NA><NA>2<NA>2901031015324
7700492731<NA>2010101998<NA><NA>31112<NA><NA><NA>70000.09000.09000.012.529.09.0303230.0<NA>17.0270800020010084500005000100.050.00.00.00.050039604214<NA>1311<NA><NA><NA><NA>3<NA><NA>13<NA><NA><NA><NA><NA><NA><NA>100<NA><NA>4<NA>1802051016754
8700504081<NA>2015112999<NA><NA>11112<NA><NA><NA>90750.014400.014400.010.4210.510.5506250.0<NA>120.05506010201001004050000401006050.00.00.050.00.0003910차량내 적재무게 감소4414<NA>1471826<NA><NA><NA><NA>34<NA>1<NA>6<NA>2<NA>5020301<NA>1100061116195
9700509542<NA>201782000<NA><NA>12112<NA><NA><NA>90000.021840.021840.013.0214.014.0406270.094.0<NA>6.06004020201010100300304030000200.050.050.00.00.00063804421<NA>1712<NA><NA><NA><NA>2<NA><NA>16<NA><NA><NA><NA><NA><NA><NA>100<NA><NA>1<NA>190105914355
번호조사지역_시도 코드차종화물차량종류출고연도출고월배기량승차정원최대 적재량변속장치사용연료등록형태주용도차량 구매 상태차량 중고 구매(양도) 년차량 중고 구매(양도) 월중고차 구매당시의 차량 총 주행거리출고후주행거리응답연간주행거리최종연간주행거리공인연비주행연비인지응답주행연비최종주행연비일평균주행거리주평균운행일수월평균주유횟수1회평균구입량1회평균구입비용출퇴근용사용여부출퇴근편도주행거리1회 주유(충전) 후 평균 주행거리출퇴근용(퍼센트)사업용(퍼센트)레저 및 장거리 여행용(퍼센트)가정일상 생활용(퍼센트)기타(퍼센트)(퍼센트)용도계(100퍼센트)주중 평균 주행거리주중 06시 - 09시(퍼센트)주중 09시 - 12시(퍼센트)주중 12시 - 15시(퍼센트)주중 15시 - 18시(퍼센트)주중 18시 - 21시(퍼센트)주중 21시 - 24시(퍼센트)주중 24시 - 06시(퍼센트)주말 평균 주행거리주말 06시 - 09시(퍼센트)주말 09시 - 12시(퍼센트)주말 12시 - 15시(퍼센트)주말 15시 - 18시(퍼센트)주말 18시 - 21시(퍼센트)주말 21시 - 24시(퍼센트)주말 24시 - 06시(퍼센트)고유가대응1순위고유가대응2순위고유가대응3순위고유가 대응 방법(기타)승용차함께타기승용차요일제차교체시고려기준1순위차교체시고려기준2순위차교체시고려기준(기타)국산수입차선택향후 희망하는 차량형태향후 희망하는 사용연료향후 희망하는 차종친환경 차량 선택 이유(퍼센트)1순위친환경 차량 선택 이유(퍼센트)2순위친환경 차량 선택 이유(퍼센트)3순위친환경 차량 선택 이유(퍼센트)(기타)친환경 차량 선택하지 않은 이유현재 거주지 주변 충전 인프라 여부현재 거주지 주변 충전 인프라 여부(기타)추가차량보유대수추가1 차종추가1 차종(퍼센트)(기타)추가1 사용연료추가1 사용연료-하이브리드추가2 차종추가2 차종(퍼센트)(기타)추가2 사용연료추가2 사용연료-하이브리드주차량 사용비중(퍼센트)추가1 사용비중(퍼센트)추가2 사용비중(퍼센트)주차장 확보여부주차장 확보여부(기타)거주지 인근 대중교통 접근성자가용 이용 비중(퍼센트)대중교통 이용 비중(퍼센트)운전경력연령성별최종학력직업2019년도가구의 월평균 총소득2019년도가구의 가족 수
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