Overview

Dataset statistics

Number of variables91
Number of observations46
Missing cells1889
Missing cells (%)45.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory36.8 KiB
Average record size in memory818.9 B

Variable types

Categorical25
Numeric66

Dataset

Description강북구 관내 동별 자동차 등록현황(구청명, 동명, 연료별 등)
Author서울특별시 강북구
URLhttps://www.data.go.kr/data/15037987/fileData.do

Alerts

기준일자 has constant value ""Constant
200912특수비사업용 is highly imbalanced (77.4%)Imbalance
200912특수사업용 is highly imbalanced (77.4%)Imbalance
201012특수비사업용 is highly imbalanced (74.2%)Imbalance
201012특수사업용 is highly imbalanced (77.4%)Imbalance
201112특수비사업용 is highly imbalanced (74.3%)Imbalance
201112특수사업용 is highly imbalanced (72.2%)Imbalance
201212특수비사업용 is highly imbalanced (77.4%)Imbalance
201212특수사업용 is highly imbalanced (74.2%)Imbalance
201312특수비사업용 is highly imbalanced (74.2%)Imbalance
201312특수사업용 is highly imbalanced (74.2%)Imbalance
201412특수비사업용 is highly imbalanced (74.2%)Imbalance
201412특수사업용 is highly imbalanced (74.2%)Imbalance
201512특수비사업용 is highly imbalanced (67.0%)Imbalance
201512특수사업용 is highly imbalanced (72.2%)Imbalance
201612특수비사업용 is highly imbalanced (74.2%)Imbalance
201612특수사업용 is highly imbalanced (74.2%)Imbalance
201712특수비사업용 is highly imbalanced (72.2%)Imbalance
201712특수사업용 is highly imbalanced (74.2%)Imbalance
201812특수비사업용 is highly imbalanced (69.6%)Imbalance
201812특수사업용 is highly imbalanced (74.2%)Imbalance
201912특수비사업용 is highly imbalanced (65.9%)Imbalance
201912특수사업용 is highly imbalanced (74.2%)Imbalance
200912승용비사업용 has 18 (39.1%) missing valuesMissing
200912승용사업용 has 39 (84.8%) missing valuesMissing
200912승합비사업용 has 28 (60.9%) missing valuesMissing
200912승합사업용 has 36 (78.3%) missing valuesMissing
200912화물비사업용 has 25 (54.3%) missing valuesMissing
200912화물사업용 has 38 (82.6%) missing valuesMissing
201012승용비사업용 has 16 (34.8%) missing valuesMissing
201012승용사업용 has 36 (78.3%) missing valuesMissing
201012승합비사업용 has 27 (58.7%) missing valuesMissing
201012승합사업용 has 37 (80.4%) missing valuesMissing
201012화물비사업용 has 25 (54.3%) missing valuesMissing
201012화물사업용 has 38 (82.6%) missing valuesMissing
201112승용비사업용 has 14 (30.4%) missing valuesMissing
201112승용사업용 has 33 (71.7%) missing valuesMissing
201112승합비사업용 has 28 (60.9%) missing valuesMissing
201112승합사업용 has 38 (82.6%) missing valuesMissing
201112화물비사업용 has 25 (54.3%) missing valuesMissing
201112화물사업용 has 37 (80.4%) missing valuesMissing
201212승용비사업용 has 14 (30.4%) missing valuesMissing
201212승용사업용 has 33 (71.7%) missing valuesMissing
201212승합비사업용 has 28 (60.9%) missing valuesMissing
201212승합사업용 has 38 (82.6%) missing valuesMissing
201212화물비사업용 has 26 (56.5%) missing valuesMissing
201212화물사업용 has 37 (80.4%) missing valuesMissing
201312승용비사업용 has 16 (34.8%) missing valuesMissing
201312승용사업용 has 31 (67.4%) missing valuesMissing
201312승합비사업용 has 26 (56.5%) missing valuesMissing
201312승합사업용 has 38 (82.6%) missing valuesMissing
201312화물비사업용 has 25 (54.3%) missing valuesMissing
201312화물사업용 has 36 (78.3%) missing valuesMissing
201412승용비사업용 has 16 (34.8%) missing valuesMissing
201412승용사업용 has 31 (67.4%) missing valuesMissing
201412승합비사업용 has 26 (56.5%) missing valuesMissing
201412승합사업용 has 39 (84.8%) missing valuesMissing
201412화물비사업용 has 26 (56.5%) missing valuesMissing
201412화물사업용 has 36 (78.3%) missing valuesMissing
201512승용비사업용 has 14 (30.4%) missing valuesMissing
201512승용사업용 has 28 (60.9%) missing valuesMissing
201512승합비사업용 has 26 (56.5%) missing valuesMissing
201512승합사업용 has 39 (84.8%) missing valuesMissing
201512화물비사업용 has 26 (56.5%) missing valuesMissing
201512화물사업용 has 37 (80.4%) missing valuesMissing
201612승용비사업용 has 10 (21.7%) missing valuesMissing
201612승용사업용 has 27 (58.7%) missing valuesMissing
201612승합비사업용 has 26 (56.5%) missing valuesMissing
201612승합사업용 has 39 (84.8%) missing valuesMissing
201612화물비사업용 has 25 (54.3%) missing valuesMissing
201612화물사업용 has 37 (80.4%) missing valuesMissing
201712승용비사업용 has 8 (17.4%) missing valuesMissing
201712승용사업용 has 30 (65.2%) missing valuesMissing
201712승합비사업용 has 28 (60.9%) missing valuesMissing
201712승합사업용 has 38 (82.6%) missing valuesMissing
201712화물비사업용 has 25 (54.3%) missing valuesMissing
201712화물사업용 has 37 (80.4%) missing valuesMissing
201812승용비사업용 has 8 (17.4%) missing valuesMissing
201812승용사업용 has 30 (65.2%) missing valuesMissing
201812승합비사업용 has 27 (58.7%) missing valuesMissing
201812승합사업용 has 39 (84.8%) missing valuesMissing
201812화물비사업용 has 26 (56.5%) missing valuesMissing
201812화물사업용 has 36 (78.3%) missing valuesMissing
201912승용비사업용 has 8 (17.4%) missing valuesMissing
201912승용사업용 has 30 (65.2%) missing valuesMissing
201912승합비사업용 has 26 (56.5%) missing valuesMissing
201912승합사업용 has 38 (82.6%) missing valuesMissing
201912화물비사업용 has 26 (56.5%) missing valuesMissing
201912화물사업용 has 35 (76.1%) missing valuesMissing

Reproduction

Analysis started2023-12-12 08:46:43.592487
Analysis finished2023-12-12 08:46:44.547723
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
서울특별시 강북구 미아동
13 
서울특별시 강북구 수유동
12 
서울특별시 강북구 우이동
11 
서울특별시 강북구 번동
10 

Length

Max length13
Median length13
Mean length12.782609
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시 강북구 미아동
2nd row서울특별시 강북구 미아동
3rd row서울특별시 강북구 미아동
4th row서울특별시 강북구 미아동
5th row서울특별시 강북구 미아동

Common Values

ValueCountFrequency (%)
서울특별시 강북구 미아동 13
28.3%
서울특별시 강북구 수유동 12
26.1%
서울특별시 강북구 우이동 11
23.9%
서울특별시 강북구 번동 10
21.7%

Length

2023-12-12T17:46:44.630208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:46:44.753505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 46
33.3%
강북구 46
33.3%
미아동 13
 
9.4%
수유동 12
 
8.7%
우이동 11
 
8.0%
번동 10
 
7.2%

연료
Categorical

Distinct13
Distinct (%)28.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
CNG
경유
기타연료
엘피지
전기
Other values (8)
26 

Length

Max length13
Median length9.5
Mean length5.8695652
Min length2

Unique

Unique1 ?
Unique (%)2.2%

Sample

1st rowCNG
2nd row경유
3rd row기타연료
4th row수소
5th row등유

Common Values

ValueCountFrequency (%)
CNG 4
8.7%
경유 4
8.7%
기타연료 4
8.7%
엘피지 4
8.7%
전기 4
8.7%
하이브리드(LPG+전기) 4
8.7%
하이브리드(휘발유+전기) 4
8.7%
휘발유 4
8.7%
휘발유(무연) 4
8.7%
휘발유(유연) 4
8.7%
Other values (3) 6
13.0%

Length

2023-12-12T17:46:44.902967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
cng 4
8.7%
경유 4
8.7%
기타연료 4
8.7%
엘피지 4
8.7%
전기 4
8.7%
하이브리드(lpg+전기 4
8.7%
하이브리드(휘발유+전기 4
8.7%
휘발유 4
8.7%
휘발유(무연 4
8.7%
휘발유(유연 4
8.7%
Other values (3) 6
13.0%

200912승용비사업용
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)82.1%
Missing18
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean1886.5
Minimum1
Maximum10255
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:45.042578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14.5
median508.5
Q33031.5
95-th percentile7159.25
Maximum10255
Range10254
Interquartile range (IQR)3027

Descriptive statistics

Standard deviation2669.0193
Coefficient of variation (CV)1.4147995
Kurtosis3.0200168
Mean1886.5
Median Absolute Deviation (MAD)507.5
Skewness1.7694968
Sum52822
Variance7123664.2
MonotonicityNot monotonic
2023-12-12T17:46:45.193629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 5
 
10.9%
7 2
 
4.3%
2866 1
 
2.2%
1138 1
 
2.2%
512 1
 
2.2%
294 1
 
2.2%
505 1
 
2.2%
8316 1
 
2.2%
3619 1
 
2.2%
2 1
 
2.2%
Other values (13) 13
28.3%
(Missing) 18
39.1%
ValueCountFrequency (%)
1 5
10.9%
2 1
 
2.2%
3 1
 
2.2%
5 1
 
2.2%
6 1
 
2.2%
7 2
 
4.3%
11 1
 
2.2%
294 1
 
2.2%
505 1
 
2.2%
512 1
 
2.2%
ValueCountFrequency (%)
10255 1
2.2%
8316 1
2.2%
5011 1
2.2%
4848 1
2.2%
4321 1
2.2%
3619 1
2.2%
3528 1
2.2%
2866 1
2.2%
2304 1
2.2%
1951 1
2.2%

200912승용사업용
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)85.7%
Missing39
Missing (%)84.8%
Infinite0
Infinite (%)0.0%
Mean372.71429
Minimum1
Maximum1106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:45.332324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median150
Q3672
95-th percentile998.3
Maximum1106
Range1105
Interquartile range (IQR)668

Descriptive statistics

Standard deviation444.93322
Coefficient of variation (CV)1.1937649
Kurtosis-0.99633719
Mean372.71429
Median Absolute Deviation (MAD)149
Skewness0.78234468
Sum2609
Variance197965.57
MonotonicityNot monotonic
2023-12-12T17:46:45.465609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 2
 
4.3%
747 1
 
2.2%
7 1
 
2.2%
597 1
 
2.2%
1106 1
 
2.2%
150 1
 
2.2%
(Missing) 39
84.8%
ValueCountFrequency (%)
1 2
4.3%
7 1
2.2%
150 1
2.2%
597 1
2.2%
747 1
2.2%
1106 1
2.2%
ValueCountFrequency (%)
1106 1
2.2%
747 1
2.2%
597 1
2.2%
150 1
2.2%
7 1
2.2%
1 2
4.3%

200912승합비사업용
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)83.3%
Missing28
Missing (%)60.9%
Infinite0
Infinite (%)0.0%
Mean301.44444
Minimum1
Maximum1171
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:45.616043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.85
Q13
median17.5
Q3524.5
95-th percentile1052
Maximum1171
Range1170
Interquartile range (IQR)521.5

Descriptive statistics

Standard deviation426.48843
Coefficient of variation (CV)1.414816
Kurtosis-0.37703706
Mean301.44444
Median Absolute Deviation (MAD)16
Skewness1.119496
Sum5426
Variance181892.38
MonotonicityNot monotonic
2023-12-12T17:46:45.763048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
3 3
 
6.5%
2 2
 
4.3%
1171 1
 
2.2%
1018 1
 
2.2%
14 1
 
2.2%
535 1
 
2.2%
493 1
 
2.2%
6 1
 
2.2%
1 1
 
2.2%
1031 1
 
2.2%
Other values (5) 5
 
10.9%
(Missing) 28
60.9%
ValueCountFrequency (%)
1 1
 
2.2%
2 2
4.3%
3 3
6.5%
4 1
 
2.2%
6 1
 
2.2%
14 1
 
2.2%
21 1
 
2.2%
127 1
 
2.2%
165 1
 
2.2%
493 1
 
2.2%
ValueCountFrequency (%)
1171 1
2.2%
1031 1
2.2%
1018 1
2.2%
827 1
2.2%
535 1
2.2%
493 1
2.2%
165 1
2.2%
127 1
2.2%
21 1
2.2%
14 1
2.2%

200912승합사업용
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing36
Missing (%)78.3%
Infinite0
Infinite (%)0.0%
Mean72.6
Minimum1
Maximum266
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:45.883403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.45
Q16.75
median35
Q3101.5
95-th percentile233.6
Maximum266
Range265
Interquartile range (IQR)94.75

Descriptive statistics

Standard deviation91.439355
Coefficient of variation (CV)1.2594952
Kurtosis0.99470018
Mean72.6
Median Absolute Deviation (MAD)32
Skewness1.4091336
Sum726
Variance8361.1556
MonotonicityNot monotonic
2023-12-12T17:46:46.015431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2 1
 
2.2%
15 1
 
2.2%
194 1
 
2.2%
58 1
 
2.2%
266 1
 
2.2%
40 1
 
2.2%
4 1
 
2.2%
1 1
 
2.2%
116 1
 
2.2%
30 1
 
2.2%
(Missing) 36
78.3%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
4 1
2.2%
15 1
2.2%
30 1
2.2%
40 1
2.2%
58 1
2.2%
116 1
2.2%
194 1
2.2%
266 1
2.2%
ValueCountFrequency (%)
266 1
2.2%
194 1
2.2%
116 1
2.2%
58 1
2.2%
40 1
2.2%
30 1
2.2%
15 1
2.2%
4 1
2.2%
2 1
2.2%
1 1
2.2%

200912특수비사업용
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
43 
8
 
1
9
 
1
7
 
1

Length

Max length4
Median length4
Mean length3.8043478
Min length1

Unique

Unique3 ?
Unique (%)6.5%

Sample

1st row<NA>
2nd row8
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 43
93.5%
8 1
 
2.2%
9 1
 
2.2%
7 1
 
2.2%

Length

2023-12-12T17:46:46.155982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:46:46.281861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
93.5%
8 1
 
2.2%
9 1
 
2.2%
7 1
 
2.2%

200912특수사업용
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
43 
4
 
1
2
 
1
5
 
1

Length

Max length4
Median length4
Mean length3.8043478
Min length1

Unique

Unique3 ?
Unique (%)6.5%

Sample

1st row<NA>
2nd row4
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 43
93.5%
4 1
 
2.2%
2 1
 
2.2%
5 1
 
2.2%

Length

2023-12-12T17:46:46.440986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:46:46.549218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
93.5%
4 1
 
2.2%
2 1
 
2.2%
5 1
 
2.2%

200912화물비사업용
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)71.4%
Missing25
Missing (%)54.3%
Infinite0
Infinite (%)0.0%
Mean423.19048
Minimum1
Maximum2724
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:46.656421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median7
Q3408
95-th percentile2522
Maximum2724
Range2723
Interquartile range (IQR)405

Descriptive statistics

Standard deviation812.21762
Coefficient of variation (CV)1.919272
Kurtosis4.0434365
Mean423.19048
Median Absolute Deviation (MAD)5
Skewness2.2001462
Sum8887
Variance659697.46
MonotonicityNot monotonic
2023-12-12T17:46:46.784912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
2 4
 
8.7%
3 2
 
4.3%
5 2
 
4.3%
7 2
 
4.3%
2724 1
 
2.2%
777 1
 
2.2%
14 1
 
2.2%
10 1
 
2.2%
1369 1
 
2.2%
408 1
 
2.2%
Other values (5) 5
 
10.9%
(Missing) 25
54.3%
ValueCountFrequency (%)
1 1
 
2.2%
2 4
8.7%
3 2
4.3%
5 2
4.3%
7 2
4.3%
10 1
 
2.2%
14 1
 
2.2%
73 1
 
2.2%
286 1
 
2.2%
408 1
 
2.2%
ValueCountFrequency (%)
2724 1
2.2%
2522 1
2.2%
1369 1
2.2%
777 1
2.2%
665 1
2.2%
408 1
2.2%
286 1
2.2%
73 1
2.2%
14 1
2.2%
10 1
2.2%

200912화물사업용
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing38
Missing (%)82.6%
Infinite0
Infinite (%)0.0%
Mean179.625
Minimum15
Maximum477
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:46.927275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile20.95
Q158.25
median136.5
Q3273.25
95-th percentile419.6
Maximum477
Range462
Interquartile range (IQR)215

Descriptive statistics

Standard deviation159.83021
Coefficient of variation (CV)0.88979937
Kurtosis0.12549024
Mean179.625
Median Absolute Deviation (MAD)113
Skewness0.9242916
Sum1437
Variance25545.696
MonotonicityNot monotonic
2023-12-12T17:46:47.086526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
477 1
 
2.2%
260 1
 
2.2%
157 1
 
2.2%
67 1
 
2.2%
313 1
 
2.2%
116 1
 
2.2%
32 1
 
2.2%
15 1
 
2.2%
(Missing) 38
82.6%
ValueCountFrequency (%)
15 1
2.2%
32 1
2.2%
67 1
2.2%
116 1
2.2%
157 1
2.2%
260 1
2.2%
313 1
2.2%
477 1
2.2%
ValueCountFrequency (%)
477 1
2.2%
313 1
2.2%
260 1
2.2%
157 1
2.2%
116 1
2.2%
67 1
2.2%
32 1
2.2%
15 1
2.2%

201012승용비사업용
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)80.0%
Missing16
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean1834.3333
Minimum1
Maximum10614
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:47.211746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13.5
median393
Q32851.5
95-th percentile7039.5
Maximum10614
Range10613
Interquartile range (IQR)2848

Descriptive statistics

Standard deviation2703.4101
Coefficient of variation (CV)1.4737835
Kurtosis3.022376
Mean1834.3333
Median Absolute Deviation (MAD)392
Skewness1.7822438
Sum55030
Variance7308426.3
MonotonicityNot monotonic
2023-12-12T17:46:47.352422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 7
15.2%
3570 1
 
2.2%
1052 1
 
2.2%
549 1
 
2.2%
2 1
 
2.2%
279 1
 
2.2%
507 1
 
2.2%
7962 1
 
2.2%
4007 1
 
2.2%
10 1
 
2.2%
Other values (14) 14
30.4%
(Missing) 16
34.8%
ValueCountFrequency (%)
1 7
15.2%
2 1
 
2.2%
8 1
 
2.2%
10 1
 
2.2%
12 1
 
2.2%
13 1
 
2.2%
15 1
 
2.2%
17 1
 
2.2%
279 1
 
2.2%
507 1
 
2.2%
ValueCountFrequency (%)
10614 1
2.2%
7962 1
2.2%
5912 1
2.2%
5308 1
2.2%
4218 1
2.2%
4007 1
2.2%
3570 1
2.2%
3025 1
2.2%
2331 1
2.2%
2137 1
2.2%

201012승용사업용
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing36
Missing (%)78.3%
Infinite0
Infinite (%)0.0%
Mean258.5
Minimum1
Maximum1092
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:47.543988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.45
Q14.25
median11.5
Q3445
95-th percentile970.5
Maximum1092
Range1091
Interquartile range (IQR)440.75

Descriptive statistics

Standard deviation412.51808
Coefficient of variation (CV)1.5958146
Kurtosis0.32647552
Mean258.5
Median Absolute Deviation (MAD)10
Skewness1.3543963
Sum2585
Variance170171.17
MonotonicityNot monotonic
2023-12-12T17:46:47.695924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
5 1
 
2.2%
822 1
 
2.2%
8 1
 
2.2%
15 1
 
2.2%
4 1
 
2.2%
572 1
 
2.2%
1 1
 
2.2%
1092 1
 
2.2%
2 1
 
2.2%
64 1
 
2.2%
(Missing) 36
78.3%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
4 1
2.2%
5 1
2.2%
8 1
2.2%
15 1
2.2%
64 1
2.2%
572 1
2.2%
822 1
2.2%
1092 1
2.2%
ValueCountFrequency (%)
1092 1
2.2%
822 1
2.2%
572 1
2.2%
64 1
2.2%
15 1
2.2%
8 1
2.2%
5 1
2.2%
4 1
2.2%
2 1
2.2%
1 1
2.2%

201012승합비사업용
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)78.9%
Missing27
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean275.78947
Minimum1
Maximum1174
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:47.815958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.5
median14
Q3474.5
95-th percentile1021
Maximum1174
Range1173
Interquartile range (IQR)472

Descriptive statistics

Standard deviation410.34275
Coefficient of variation (CV)1.487884
Kurtosis0.028263528
Mean275.78947
Median Absolute Deviation (MAD)13
Skewness1.2542546
Sum5240
Variance168381.18
MonotonicityNot monotonic
2023-12-12T17:46:47.936774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 4
 
8.7%
3 2
 
4.3%
1174 1
 
2.2%
980 1
 
2.2%
14 1
 
2.2%
516 1
 
2.2%
433 1
 
2.2%
5 1
 
2.2%
1004 1
 
2.2%
797 1
 
2.2%
Other values (5) 5
 
10.9%
(Missing) 27
58.7%
ValueCountFrequency (%)
1 4
8.7%
2 1
 
2.2%
3 2
4.3%
4 1
 
2.2%
5 1
 
2.2%
14 1
 
2.2%
22 1
 
2.2%
121 1
 
2.2%
158 1
 
2.2%
433 1
 
2.2%
ValueCountFrequency (%)
1174 1
2.2%
1004 1
2.2%
980 1
2.2%
797 1
2.2%
516 1
2.2%
433 1
2.2%
158 1
2.2%
121 1
2.2%
22 1
2.2%
14 1
2.2%

201012승합사업용
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)88.9%
Missing37
Missing (%)80.4%
Infinite0
Infinite (%)0.0%
Mean80.888889
Minimum2
Maximum284
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:48.064631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.8
Q116
median23
Q3123
95-th percentile260.8
Maximum284
Range282
Interquartile range (IQR)107

Descriptive statistics

Standard deviation106.08775
Coefficient of variation (CV)1.3115244
Kurtosis0.23047298
Mean80.888889
Median Absolute Deviation (MAD)19
Skewness1.3118889
Sum728
Variance11254.611
MonotonicityNot monotonic
2023-12-12T17:46:48.236042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
23 2
 
4.3%
2 1
 
2.2%
16 1
 
2.2%
226 1
 
2.2%
27 1
 
2.2%
284 1
 
2.2%
4 1
 
2.2%
123 1
 
2.2%
(Missing) 37
80.4%
ValueCountFrequency (%)
2 1
2.2%
4 1
2.2%
16 1
2.2%
23 2
4.3%
27 1
2.2%
123 1
2.2%
226 1
2.2%
284 1
2.2%
ValueCountFrequency (%)
284 1
2.2%
226 1
2.2%
123 1
2.2%
27 1
2.2%
23 2
4.3%
16 1
2.2%
4 1
2.2%
2 1
2.2%

201012특수비사업용
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
9
 
1
1
 
1
10
 
1
6
 
1

Length

Max length4
Median length4
Mean length3.7608696
Min length1

Unique

Unique4 ?
Unique (%)8.7%

Sample

1st row<NA>
2nd row9
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 42
91.3%
9 1
 
2.2%
1 1
 
2.2%
10 1
 
2.2%
6 1
 
2.2%

Length

2023-12-12T17:46:48.384781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:46:48.501265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
9 1
 
2.2%
1 1
 
2.2%
10 1
 
2.2%
6 1
 
2.2%

201012특수사업용
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
43 
8
 
1
3
 
1
6
 
1

Length

Max length4
Median length4
Mean length3.8043478
Min length1

Unique

Unique3 ?
Unique (%)6.5%

Sample

1st row<NA>
2nd row8
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 43
93.5%
8 1
 
2.2%
3 1
 
2.2%
6 1
 
2.2%

Length

2023-12-12T17:46:48.615095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:46:48.722612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
93.5%
8 1
 
2.2%
3 1
 
2.2%
6 1
 
2.2%

201012화물비사업용
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)76.2%
Missing25
Missing (%)54.3%
Infinite0
Infinite (%)0.0%
Mean417
Minimum1
Maximum2702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:48.847077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median7
Q3389
95-th percentile2487
Maximum2702
Range2701
Interquartile range (IQR)387

Descriptive statistics

Standard deviation803.47626
Coefficient of variation (CV)1.9268016
Kurtosis4.0733888
Mean417
Median Absolute Deviation (MAD)6
Skewness2.206043
Sum8757
Variance645574.1
MonotonicityNot monotonic
2023-12-12T17:46:48.981524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2 3
 
6.5%
1 3
 
6.5%
7 2
 
4.3%
2487 1
 
2.2%
68 1
 
2.2%
279 1
 
2.2%
4 1
 
2.2%
5 1
 
2.2%
658 1
 
2.2%
2702 1
 
2.2%
Other values (6) 6
 
13.0%
(Missing) 25
54.3%
ValueCountFrequency (%)
1 3
6.5%
2 3
6.5%
3 1
 
2.2%
4 1
 
2.2%
5 1
 
2.2%
6 1
 
2.2%
7 2
4.3%
15 1
 
2.2%
68 1
 
2.2%
279 1
 
2.2%
ValueCountFrequency (%)
2702 1
2.2%
2487 1
2.2%
1348 1
2.2%
770 1
2.2%
658 1
2.2%
389 1
2.2%
279 1
2.2%
68 1
2.2%
15 1
2.2%
7 2
4.3%

201012화물사업용
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing38
Missing (%)82.6%
Infinite0
Infinite (%)0.0%
Mean177.75
Minimum11
Maximum469
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:49.137036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile19.05
Q159.5
median139
Q3265
95-th percentile414.4
Maximum469
Range458
Interquartile range (IQR)205.5

Descriptive statistics

Standard deviation156.98658
Coefficient of variation (CV)0.8831875
Kurtosis0.13149635
Mean177.75
Median Absolute Deviation (MAD)107.5
Skewness0.90603602
Sum1422
Variance24644.786
MonotonicityNot monotonic
2023-12-12T17:46:49.271729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
469 1
 
2.2%
249 1
 
2.2%
159 1
 
2.2%
68 1
 
2.2%
313 1
 
2.2%
119 1
 
2.2%
34 1
 
2.2%
11 1
 
2.2%
(Missing) 38
82.6%
ValueCountFrequency (%)
11 1
2.2%
34 1
2.2%
68 1
2.2%
119 1
2.2%
159 1
2.2%
249 1
2.2%
313 1
2.2%
469 1
2.2%
ValueCountFrequency (%)
469 1
2.2%
313 1
2.2%
249 1
2.2%
159 1
2.2%
119 1
2.2%
68 1
2.2%
34 1
2.2%
11 1
2.2%

201112승용비사업용
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)81.2%
Missing14
Missing (%)30.4%
Infinite0
Infinite (%)0.0%
Mean1749.3438
Minimum1
Maximum10636
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:49.675056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median158
Q32498.5
95-th percentile6950.3
Maximum10636
Range10635
Interquartile range (IQR)2495.5

Descriptive statistics

Standard deviation2680.5908
Coefficient of variation (CV)1.5323408
Kurtosis3.1047554
Mean1749.3438
Median Absolute Deviation (MAD)157
Skewness1.8228473
Sum55979
Variance7185567.1
MonotonicityNot monotonic
2023-12-12T17:46:49.819865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 5
 
10.9%
2 2
 
4.3%
3 2
 
4.3%
14 1
 
2.2%
2323 1
 
2.2%
1082 1
 
2.2%
562 1
 
2.2%
4 1
 
2.2%
278 1
 
2.2%
505 1
 
2.2%
Other values (16) 16
34.8%
(Missing) 14
30.4%
ValueCountFrequency (%)
1 5
10.9%
2 2
 
4.3%
3 2
 
4.3%
4 1
 
2.2%
10 1
 
2.2%
13 1
 
2.2%
14 1
 
2.2%
17 1
 
2.2%
37 1
 
2.2%
38 1
 
2.2%
ValueCountFrequency (%)
10636 1
2.2%
7805 1
2.2%
6251 1
2.2%
5663 1
2.2%
4159 1
2.2%
4068 1
2.2%
3745 1
2.2%
3025 1
2.2%
2323 1
2.2%
2192 1
2.2%

201112승용사업용
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)53.8%
Missing33
Missing (%)71.7%
Infinite0
Infinite (%)0.0%
Mean186.38462
Minimum1
Maximum910
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:49.935160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q362
95-th percentile814.6
Maximum910
Range909
Interquartile range (IQR)61

Descriptive statistics

Standard deviation343.55095
Coefficient of variation (CV)1.8432366
Kurtosis0.5205558
Mean186.38462
Median Absolute Deviation (MAD)1
Skewness1.5192266
Sum2423
Variance118027.26
MonotonicityNot monotonic
2023-12-12T17:46:50.046493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 6
 
13.0%
2 2
 
4.3%
751 1
 
2.2%
687 1
 
2.2%
3 1
 
2.2%
910 1
 
2.2%
62 1
 
2.2%
(Missing) 33
71.7%
ValueCountFrequency (%)
1 6
13.0%
2 2
 
4.3%
3 1
 
2.2%
62 1
 
2.2%
687 1
 
2.2%
751 1
 
2.2%
910 1
 
2.2%
ValueCountFrequency (%)
910 1
 
2.2%
751 1
 
2.2%
687 1
 
2.2%
62 1
 
2.2%
3 1
 
2.2%
2 2
 
4.3%
1 6
13.0%

201112승합비사업용
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)83.3%
Missing28
Missing (%)60.9%
Infinite0
Infinite (%)0.0%
Mean273
Minimum1
Maximum1153
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:50.209673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.25
median15
Q3460.5
95-th percentile1017.85
Maximum1153
Range1152
Interquartile range (IQR)458.25

Descriptive statistics

Standard deviation396.95251
Coefficient of variation (CV)1.4540385
Kurtosis0.077839832
Mean273
Median Absolute Deviation (MAD)14
Skewness1.2415598
Sum4914
Variance157571.29
MonotonicityNot monotonic
2023-12-12T17:46:50.328324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 3
 
6.5%
2 2
 
4.3%
1153 1
 
2.2%
863 1
 
2.2%
13 1
 
2.2%
490 1
 
2.2%
372 1
 
2.2%
3 1
 
2.2%
5 1
 
2.2%
994 1
 
2.2%
Other values (5) 5
 
10.9%
(Missing) 28
60.9%
ValueCountFrequency (%)
1 3
6.5%
2 2
4.3%
3 1
 
2.2%
4 1
 
2.2%
5 1
 
2.2%
13 1
 
2.2%
17 1
 
2.2%
97 1
 
2.2%
158 1
 
2.2%
372 1
 
2.2%
ValueCountFrequency (%)
1153 1
2.2%
994 1
2.2%
863 1
2.2%
738 1
2.2%
490 1
2.2%
372 1
2.2%
158 1
2.2%
97 1
2.2%
17 1
2.2%
13 1
2.2%

201112승합사업용
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)87.5%
Missing38
Missing (%)82.6%
Infinite0
Infinite (%)0.0%
Mean93
Minimum7
Maximum290
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:50.476750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile7.7
Q119.5
median33
Q3148.75
95-th percentile267.6
Maximum290
Range283
Interquartile range (IQR)129.25

Descriptive statistics

Standard deviation109.64228
Coefficient of variation (CV)1.1789492
Kurtosis-0.20581052
Mean93
Median Absolute Deviation (MAD)25
Skewness1.1539715
Sum744
Variance12021.429
MonotonicityNot monotonic
2023-12-12T17:46:50.627480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
23 2
 
4.3%
7 1
 
2.2%
9 1
 
2.2%
226 1
 
2.2%
290 1
 
2.2%
43 1
 
2.2%
123 1
 
2.2%
(Missing) 38
82.6%
ValueCountFrequency (%)
7 1
2.2%
9 1
2.2%
23 2
4.3%
43 1
2.2%
123 1
2.2%
226 1
2.2%
290 1
2.2%
ValueCountFrequency (%)
290 1
2.2%
226 1
2.2%
123 1
2.2%
43 1
2.2%
23 2
4.3%
9 1
2.2%
7 1
2.2%

201112특수비사업용
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
43 
10
 
2
7
 
1

Length

Max length4
Median length4
Mean length3.8478261
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

1st row<NA>
2nd row10
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 43
93.5%
10 2
 
4.3%
7 1
 
2.2%

Length

2023-12-12T17:46:50.803727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:46:50.931352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
93.5%
10 2
 
4.3%
7 1
 
2.2%

201112특수사업용
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
12
 
2
2
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.7826087
Min length1

Unique

Unique2 ?
Unique (%)4.3%

Sample

1st row<NA>
2nd row12
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 42
91.3%
12 2
 
4.3%
2 1
 
2.2%
1 1
 
2.2%

Length

2023-12-12T17:46:51.098005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:46:51.217527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
12 2
 
4.3%
2 1
 
2.2%
1 1
 
2.2%

201112화물비사업용
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)76.2%
Missing25
Missing (%)54.3%
Infinite0
Infinite (%)0.0%
Mean409.28571
Minimum1
Maximum2689
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:51.331268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median7
Q3338
95-th percentile2579
Maximum2689
Range2688
Interquartile range (IQR)335

Descriptive statistics

Standard deviation809.69298
Coefficient of variation (CV)1.9783074
Kurtosis4.3830806
Mean409.28571
Median Absolute Deviation (MAD)6
Skewness2.2830172
Sum8595
Variance655602.71
MonotonicityNot monotonic
2023-12-12T17:46:51.455842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1 4
 
8.7%
4 2
 
4.3%
3 2
 
4.3%
63 1
 
2.2%
277 1
 
2.2%
575 1
 
2.2%
2579 1
 
2.2%
9 1
 
2.2%
2689 1
 
2.2%
2 1
 
2.2%
Other values (6) 6
 
13.0%
(Missing) 25
54.3%
ValueCountFrequency (%)
1 4
8.7%
2 1
 
2.2%
3 2
4.3%
4 2
4.3%
6 1
 
2.2%
7 1
 
2.2%
9 1
 
2.2%
16 1
 
2.2%
63 1
 
2.2%
277 1
 
2.2%
ValueCountFrequency (%)
2689 1
2.2%
2579 1
2.2%
1316 1
2.2%
700 1
2.2%
575 1
2.2%
338 1
2.2%
277 1
2.2%
63 1
2.2%
16 1
2.2%
9 1
2.2%

201112화물사업용
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing37
Missing (%)80.4%
Infinite0
Infinite (%)0.0%
Mean158.44444
Minimum1
Maximum488
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:51.591073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.2
Q132
median114
Q3251
95-th percentile414.8
Maximum488
Range487
Interquartile range (IQR)219

Descriptive statistics

Standard deviation162.68844
Coefficient of variation (CV)1.0267854
Kurtosis0.69255762
Mean158.44444
Median Absolute Deviation (MAD)105
Skewness1.1072885
Sum1426
Variance26467.528
MonotonicityNot monotonic
2023-12-12T17:46:51.699154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
488 1
 
2.2%
1 1
 
2.2%
251 1
 
2.2%
157 1
 
2.2%
69 1
 
2.2%
305 1
 
2.2%
114 1
 
2.2%
32 1
 
2.2%
9 1
 
2.2%
(Missing) 37
80.4%
ValueCountFrequency (%)
1 1
2.2%
9 1
2.2%
32 1
2.2%
69 1
2.2%
114 1
2.2%
157 1
2.2%
251 1
2.2%
305 1
2.2%
488 1
2.2%
ValueCountFrequency (%)
488 1
2.2%
305 1
2.2%
251 1
2.2%
157 1
2.2%
114 1
2.2%
69 1
2.2%
32 1
2.2%
9 1
2.2%
1 1
2.2%

201212승용비사업용
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)84.4%
Missing14
Missing (%)30.4%
Infinite0
Infinite (%)0.0%
Mean1776.4062
Minimum1
Maximum10530
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:51.813019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13.75
median193
Q32439.75
95-th percentile7011.5
Maximum10530
Range10529
Interquartile range (IQR)2436

Descriptive statistics

Standard deviation2694.9804
Coefficient of variation (CV)1.5170969
Kurtosis2.7520441
Mean1776.4062
Median Absolute Deviation (MAD)192
Skewness1.7632844
Sum56845
Variance7262919.2
MonotonicityNot monotonic
2023-12-12T17:46:51.969692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1 4
 
8.7%
3 2
 
4.3%
2 2
 
4.3%
13 1
 
2.2%
107 1
 
2.2%
1070 1
 
2.2%
572 1
 
2.2%
7 1
 
2.2%
279 1
 
2.2%
519 1
 
2.2%
Other values (17) 17
37.0%
(Missing) 14
30.4%
ValueCountFrequency (%)
1 4
8.7%
2 2
4.3%
3 2
4.3%
4 1
 
2.2%
7 1
 
2.2%
12 1
 
2.2%
13 1
 
2.2%
18 1
 
2.2%
29 1
 
2.2%
71 1
 
2.2%
ValueCountFrequency (%)
10530 1
2.2%
7732 1
2.2%
6422 1
2.2%
6031 1
2.2%
4125 1
2.2%
4078 1
2.2%
4006 1
2.2%
3018 1
2.2%
2247 1
2.2%
2246 1
2.2%

201212승용사업용
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)69.2%
Missing33
Missing (%)71.7%
Infinite0
Infinite (%)0.0%
Mean194.30769
Minimum1
Maximum893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:52.092335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q358
95-th percentile844.4
Maximum893
Range892
Interquartile range (IQR)56

Descriptive statistics

Standard deviation347.96106
Coefficient of variation (CV)1.7907735
Kurtosis0.37820029
Mean194.30769
Median Absolute Deviation (MAD)4
Skewness1.4954421
Sum2526
Variance121076.9
MonotonicityNot monotonic
2023-12-12T17:46:52.202827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2 4
 
8.7%
1 2
 
4.3%
5 1
 
2.2%
812 1
 
2.2%
12 1
 
2.2%
42 1
 
2.2%
694 1
 
2.2%
893 1
 
2.2%
58 1
 
2.2%
(Missing) 33
71.7%
ValueCountFrequency (%)
1 2
4.3%
2 4
8.7%
5 1
 
2.2%
12 1
 
2.2%
42 1
 
2.2%
58 1
 
2.2%
694 1
 
2.2%
812 1
 
2.2%
893 1
 
2.2%
ValueCountFrequency (%)
893 1
 
2.2%
812 1
 
2.2%
694 1
 
2.2%
58 1
 
2.2%
42 1
 
2.2%
12 1
 
2.2%
5 1
 
2.2%
2 4
8.7%
1 2
4.3%

201212승합비사업용
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)77.8%
Missing28
Missing (%)60.9%
Infinite0
Infinite (%)0.0%
Mean260.94444
Minimum1
Maximum1164
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:52.315922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.25
median13
Q3453.25
95-th percentile1029.7
Maximum1164
Range1163
Interquartile range (IQR)451

Descriptive statistics

Standard deviation384.8189
Coefficient of variation (CV)1.4747158
Kurtosis0.59369197
Mean260.94444
Median Absolute Deviation (MAD)12
Skewness1.3506761
Sum4697
Variance148085.58
MonotonicityNot monotonic
2023-12-12T17:46:52.449301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 4
 
8.7%
4 2
 
4.3%
1164 1
 
2.2%
748 1
 
2.2%
2 1
 
2.2%
12 1
 
2.2%
495 1
 
2.2%
328 1
 
2.2%
1006 1
 
2.2%
652 1
 
2.2%
Other values (4) 4
 
8.7%
(Missing) 28
60.9%
ValueCountFrequency (%)
1 4
8.7%
2 1
 
2.2%
3 1
 
2.2%
4 2
4.3%
12 1
 
2.2%
14 1
 
2.2%
83 1
 
2.2%
178 1
 
2.2%
328 1
 
2.2%
495 1
 
2.2%
ValueCountFrequency (%)
1164 1
2.2%
1006 1
2.2%
748 1
2.2%
652 1
2.2%
495 1
2.2%
328 1
2.2%
178 1
2.2%
83 1
2.2%
14 1
2.2%
12 1
2.2%

201212승합사업용
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing38
Missing (%)82.6%
Infinite0
Infinite (%)0.0%
Mean94
Minimum8
Maximum290
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:52.569922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10.8
Q119
median33
Q3149.5
95-th percentile268.65
Maximum290
Range282
Interquartile range (IQR)130.5

Descriptive statistics

Standard deviation109.59666
Coefficient of variation (CV)1.1659219
Kurtosis-0.236206
Mean94
Median Absolute Deviation (MAD)21
Skewness1.1586911
Sum752
Variance12011.429
MonotonicityNot monotonic
2023-12-12T17:46:52.676853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
8 1
 
2.2%
16 1
 
2.2%
229 1
 
2.2%
20 1
 
2.2%
290 1
 
2.2%
43 1
 
2.2%
123 1
 
2.2%
23 1
 
2.2%
(Missing) 38
82.6%
ValueCountFrequency (%)
8 1
2.2%
16 1
2.2%
20 1
2.2%
23 1
2.2%
43 1
2.2%
123 1
2.2%
229 1
2.2%
290 1
2.2%
ValueCountFrequency (%)
290 1
2.2%
229 1
2.2%
123 1
2.2%
43 1
2.2%
23 1
2.2%
20 1
2.2%
16 1
2.2%
8 1
2.2%

201212특수비사업용
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
43 
6
 
1
16
 
1
10
 
1

Length

Max length4
Median length4
Mean length3.8478261
Min length1

Unique

Unique3 ?
Unique (%)6.5%

Sample

1st row<NA>
2nd row6
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 43
93.5%
6 1
 
2.2%
16 1
 
2.2%
10 1
 
2.2%

Length

2023-12-12T17:46:52.845087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:46:52.953058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
93.5%
6 1
 
2.2%
16 1
 
2.2%
10 1
 
2.2%

201212특수사업용
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
17
 
1
2
 
1
16
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.7826087
Min length1

Unique

Unique4 ?
Unique (%)8.7%

Sample

1st row<NA>
2nd row17
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 42
91.3%
17 1
 
2.2%
2 1
 
2.2%
16 1
 
2.2%
1 1
 
2.2%

Length

2023-12-12T17:46:53.066083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:46:53.214498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
17 1
 
2.2%
2 1
 
2.2%
16 1
 
2.2%
1 1
 
2.2%

201212화물비사업용
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)70.0%
Missing26
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean419.8
Minimum1
Maximum2682
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:53.337629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13.5
median7
Q3351.5
95-th percentile2556.6
Maximum2682
Range2681
Interquartile range (IQR)348

Descriptive statistics

Standard deviation820.11081
Coefficient of variation (CV)1.9535751
Kurtosis4.1048784
Mean419.8
Median Absolute Deviation (MAD)5.5
Skewness2.2386008
Sum8396
Variance672581.75
MonotonicityNot monotonic
2023-12-12T17:46:53.468217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
4 3
 
6.5%
2 3
 
6.5%
7 2
 
4.3%
1 2
 
4.3%
2682 1
 
2.2%
5 1
 
2.2%
618 1
 
2.2%
12 1
 
2.2%
1338 1
 
2.2%
298 1
 
2.2%
Other values (4) 4
 
8.7%
(Missing) 26
56.5%
ValueCountFrequency (%)
1 2
4.3%
2 3
6.5%
4 3
6.5%
5 1
 
2.2%
7 2
4.3%
12 1
 
2.2%
63 1
 
2.2%
284 1
 
2.2%
298 1
 
2.2%
512 1
 
2.2%
ValueCountFrequency (%)
2682 1
2.2%
2550 1
2.2%
1338 1
2.2%
618 1
2.2%
512 1
2.2%
298 1
2.2%
284 1
2.2%
63 1
2.2%
12 1
2.2%
7 2
4.3%

201212화물사업용
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing37
Missing (%)80.4%
Infinite0
Infinite (%)0.0%
Mean159.77778
Minimum1
Maximum501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:53.602032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.8
Q131
median126
Q3243
95-th percentile421
Maximum501
Range500
Interquartile range (IQR)212

Descriptive statistics

Standard deviation165.17474
Coefficient of variation (CV)1.0337779
Kurtosis1.0155254
Mean159.77778
Median Absolute Deviation (MAD)117
Skewness1.1625396
Sum1438
Variance27282.694
MonotonicityNot monotonic
2023-12-12T17:46:53.737261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
501 1
 
2.2%
1 1
 
2.2%
243 1
 
2.2%
162 1
 
2.2%
65 1
 
2.2%
301 1
 
2.2%
126 1
 
2.2%
31 1
 
2.2%
8 1
 
2.2%
(Missing) 37
80.4%
ValueCountFrequency (%)
1 1
2.2%
8 1
2.2%
31 1
2.2%
65 1
2.2%
126 1
2.2%
162 1
2.2%
243 1
2.2%
301 1
2.2%
501 1
2.2%
ValueCountFrequency (%)
501 1
2.2%
301 1
2.2%
243 1
2.2%
162 1
2.2%
126 1
2.2%
65 1
2.2%
31 1
2.2%
8 1
2.2%
1 1
2.2%

201312승용비사업용
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)90.0%
Missing16
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean1891.1
Minimum1
Maximum10187
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:53.871095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q110.5
median409.5
Q32739.5
95-th percentile7046
Maximum10187
Range10186
Interquartile range (IQR)2729

Descriptive statistics

Standard deviation2717.4723
Coefficient of variation (CV)1.4369797
Kurtosis1.9988806
Mean1891.1
Median Absolute Deviation (MAD)408.5
Skewness1.6037876
Sum56733
Variance7384655.7
MonotonicityNot monotonic
2023-12-12T17:46:54.017819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1 3
 
6.5%
3 2
 
4.3%
5 1
 
2.2%
1044 1
 
2.2%
543 1
 
2.2%
10 1
 
2.2%
276 1
 
2.2%
560 1
 
2.2%
7559 1
 
2.2%
4171 1
 
2.2%
Other values (17) 17
37.0%
(Missing) 16
34.8%
ValueCountFrequency (%)
1 3
6.5%
3 2
4.3%
4 1
 
2.2%
5 1
 
2.2%
10 1
 
2.2%
12 1
 
2.2%
15 1
 
2.2%
18 1
 
2.2%
46 1
 
2.2%
93 1
 
2.2%
ValueCountFrequency (%)
10187 1
2.2%
7559 1
2.2%
6419 1
2.2%
6384 1
2.2%
4291 1
2.2%
4171 1
2.2%
3956 1
2.2%
2872 1
2.2%
2342 1
2.2%
2202 1
2.2%

201312승용사업용
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)66.7%
Missing31
Missing (%)67.4%
Infinite0
Infinite (%)0.0%
Mean174.33333
Minimum1
Maximum921
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:54.153301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.5
median6
Q362
95-th percentile828.6
Maximum921
Range920
Interquartile range (IQR)60.5

Descriptive statistics

Standard deviation335.56002
Coefficient of variation (CV)1.9248184
Kurtosis1.151115
Mean174.33333
Median Absolute Deviation (MAD)5
Skewness1.7030834
Sum2615
Variance112600.52
MonotonicityNot monotonic
2023-12-12T17:46:54.290005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 4
 
8.7%
2 3
 
6.5%
8 1
 
2.2%
744 1
 
2.2%
13 1
 
2.2%
65 1
 
2.2%
6 1
 
2.2%
789 1
 
2.2%
921 1
 
2.2%
59 1
 
2.2%
(Missing) 31
67.4%
ValueCountFrequency (%)
1 4
8.7%
2 3
6.5%
6 1
 
2.2%
8 1
 
2.2%
13 1
 
2.2%
59 1
 
2.2%
65 1
 
2.2%
744 1
 
2.2%
789 1
 
2.2%
921 1
 
2.2%
ValueCountFrequency (%)
921 1
 
2.2%
789 1
 
2.2%
744 1
 
2.2%
65 1
 
2.2%
59 1
 
2.2%
13 1
 
2.2%
8 1
 
2.2%
6 1
 
2.2%
2 3
6.5%
1 4
8.7%

201312승합비사업용
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)70.0%
Missing26
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean222.55
Minimum1
Maximum1211
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:54.425614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median8
Q3345.5
95-th percentile1030.5
Maximum1211
Range1210
Interquartile range (IQR)344.5

Descriptive statistics

Standard deviation366.1838
Coefficient of variation (CV)1.6454001
Kurtosis2.1921522
Mean222.55
Median Absolute Deviation (MAD)7
Skewness1.7317561
Sum4451
Variance134090.58
MonotonicityNot monotonic
2023-12-12T17:46:54.631801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 6
 
13.0%
3 2
 
4.3%
1211 1
 
2.2%
601 1
 
2.2%
2 1
 
2.2%
11 1
 
2.2%
512 1
 
2.2%
290 1
 
2.2%
5 1
 
2.2%
1021 1
 
2.2%
Other values (4) 4
 
8.7%
(Missing) 26
56.5%
ValueCountFrequency (%)
1 6
13.0%
2 1
 
2.2%
3 2
 
4.3%
5 1
 
2.2%
11 1
 
2.2%
13 1
 
2.2%
63 1
 
2.2%
174 1
 
2.2%
290 1
 
2.2%
512 1
 
2.2%
ValueCountFrequency (%)
1211 1
2.2%
1021 1
2.2%
601 1
2.2%
536 1
2.2%
512 1
2.2%
290 1
2.2%
174 1
2.2%
63 1
2.2%
13 1
2.2%
11 1
2.2%

201312승합사업용
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing38
Missing (%)82.6%
Infinite0
Infinite (%)0.0%
Mean93.875
Minimum8
Maximum295
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:54.753058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile9.75
Q115.25
median27.5
Q3157.5
95-th percentile272.6
Maximum295
Range287
Interquartile range (IQR)142.25

Descriptive statistics

Standard deviation113.23608
Coefficient of variation (CV)1.2062432
Kurtosis-0.3753416
Mean93.875
Median Absolute Deviation (MAD)17
Skewness1.1175326
Sum751
Variance12822.411
MonotonicityNot monotonic
2023-12-12T17:46:54.885729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
8 1
 
2.2%
16 1
 
2.2%
231 1
 
2.2%
18 1
 
2.2%
295 1
 
2.2%
37 1
 
2.2%
133 1
 
2.2%
13 1
 
2.2%
(Missing) 38
82.6%
ValueCountFrequency (%)
8 1
2.2%
13 1
2.2%
16 1
2.2%
18 1
2.2%
37 1
2.2%
133 1
2.2%
231 1
2.2%
295 1
2.2%
ValueCountFrequency (%)
295 1
2.2%
231 1
2.2%
133 1
2.2%
37 1
2.2%
18 1
2.2%
16 1
2.2%
13 1
2.2%
8 1
2.2%

201312특수비사업용
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
9
 
1
1
 
1
15
 
1
19
 
1

Length

Max length4
Median length4
Mean length3.7826087
Min length1

Unique

Unique4 ?
Unique (%)8.7%

Sample

1st row<NA>
2nd row9
3rd row1
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 42
91.3%
9 1
 
2.2%
1 1
 
2.2%
15 1
 
2.2%
19 1
 
2.2%

Length

2023-12-12T17:46:55.045936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:46:55.166695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
9 1
 
2.2%
1 1
 
2.2%
15 1
 
2.2%
19 1
 
2.2%

201312특수사업용
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
29
 
1
6
 
1
15
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.7826087
Min length1

Unique

Unique4 ?
Unique (%)8.7%

Sample

1st row<NA>
2nd row29
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 42
91.3%
29 1
 
2.2%
6 1
 
2.2%
15 1
 
2.2%
1 1
 
2.2%

Length

2023-12-12T17:46:55.298856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:46:55.405190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
29 1
 
2.2%
6 1
 
2.2%
15 1
 
2.2%
1 1
 
2.2%

201312화물비사업용
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)71.4%
Missing25
Missing (%)54.3%
Infinite0
Infinite (%)0.0%
Mean391.71429
Minimum1
Maximum2702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:55.534446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median7
Q3282
95-th percentile2576
Maximum2702
Range2701
Interquartile range (IQR)279

Descriptive statistics

Standard deviation807.49174
Coefficient of variation (CV)2.0614304
Kurtosis4.7865023
Mean391.71429
Median Absolute Deviation (MAD)6
Skewness2.3812714
Sum8226
Variance652042.91
MonotonicityNot monotonic
2023-12-12T17:46:55.676940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 4
 
8.7%
7 3
 
6.5%
5 2
 
4.3%
2702 1
 
2.2%
536 1
 
2.2%
11 1
 
2.2%
3 1
 
2.2%
1292 1
 
2.2%
282 1
 
2.2%
2 1
 
2.2%
Other values (5) 5
 
10.9%
(Missing) 25
54.3%
ValueCountFrequency (%)
1 4
8.7%
2 1
 
2.2%
3 1
 
2.2%
4 1
 
2.2%
5 2
4.3%
7 3
6.5%
11 1
 
2.2%
56 1
 
2.2%
257 1
 
2.2%
282 1
 
2.2%
ValueCountFrequency (%)
2702 1
 
2.2%
2576 1
 
2.2%
1292 1
 
2.2%
536 1
 
2.2%
470 1
 
2.2%
282 1
 
2.2%
257 1
 
2.2%
56 1
 
2.2%
11 1
 
2.2%
7 3
6.5%

201312화물사업용
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)90.0%
Missing36
Missing (%)78.3%
Infinite0
Infinite (%)0.0%
Mean152.6
Minimum1
Maximum550
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:55.820659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q115
median89
Q3238.75
95-th percentile446.95
Maximum550
Range549
Interquartile range (IQR)223.75

Descriptive statistics

Standard deviation179.08483
Coefficient of variation (CV)1.1735572
Kurtosis1.5242635
Mean152.6
Median Absolute Deviation (MAD)85.5
Skewness1.3644285
Sum1526
Variance32071.378
MonotonicityNot monotonic
2023-12-12T17:46:55.963077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 2
 
4.3%
550 1
 
2.2%
261 1
 
2.2%
172 1
 
2.2%
64 1
 
2.2%
321 1
 
2.2%
114 1
 
2.2%
33 1
 
2.2%
9 1
 
2.2%
(Missing) 36
78.3%
ValueCountFrequency (%)
1 2
4.3%
9 1
2.2%
33 1
2.2%
64 1
2.2%
114 1
2.2%
172 1
2.2%
261 1
2.2%
321 1
2.2%
550 1
2.2%
ValueCountFrequency (%)
550 1
2.2%
321 1
2.2%
261 1
2.2%
172 1
2.2%
114 1
2.2%
64 1
2.2%
33 1
2.2%
9 1
2.2%
1 2
4.3%

201412승용비사업용
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)93.3%
Missing16
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean1909.4333
Minimum1
Maximum10003
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:56.147267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.45
Q112.75
median399
Q32637.5
95-th percentile7182.95
Maximum10003
Range10002
Interquartile range (IQR)2624.75

Descriptive statistics

Standard deviation2729.7697
Coefficient of variation (CV)1.4296229
Kurtosis1.6463117
Mean1909.4333
Median Absolute Deviation (MAD)397.5
Skewness1.5447632
Sum57283
Variance7451642.7
MonotonicityNot monotonic
2023-12-12T17:46:56.331517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1 2
 
4.3%
2 2
 
4.3%
7 1
 
2.2%
984 1
 
2.2%
552 1
 
2.2%
15 1
 
2.2%
246 1
 
2.2%
600 1
 
2.2%
7421 1
 
2.2%
4275 1
 
2.2%
Other values (18) 18
39.1%
(Missing) 16
34.8%
ValueCountFrequency (%)
1 2
4.3%
2 2
4.3%
3 1
2.2%
5 1
2.2%
7 1
2.2%
12 1
2.2%
15 1
2.2%
17 1
2.2%
18 1
2.2%
62 1
2.2%
ValueCountFrequency (%)
10003 1
2.2%
7421 1
2.2%
6892 1
2.2%
6355 1
2.2%
4758 1
2.2%
4275 1
2.2%
3881 1
2.2%
2670 1
2.2%
2540 1
2.2%
2173 1
2.2%

201412승용사업용
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)73.3%
Missing31
Missing (%)67.4%
Infinite0
Infinite (%)0.0%
Mean178.6
Minimum1
Maximum920
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:56.479206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q332.5
95-th percentile858.4
Maximum920
Range919
Interquartile range (IQR)30.5

Descriptive statistics

Standard deviation353.27383
Coefficient of variation (CV)1.978017
Kurtosis0.9690808
Mean178.6
Median Absolute Deviation (MAD)4
Skewness1.680072
Sum2679
Variance124802.4
MonotonicityNot monotonic
2023-12-12T17:46:56.620448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2 4
 
8.7%
1 2
 
4.3%
3 1
 
2.2%
832 1
 
2.2%
9 1
 
2.2%
12 1
 
2.2%
827 1
 
2.2%
5 1
 
2.2%
920 1
 
2.2%
8 1
 
2.2%
(Missing) 31
67.4%
ValueCountFrequency (%)
1 2
4.3%
2 4
8.7%
3 1
 
2.2%
5 1
 
2.2%
8 1
 
2.2%
9 1
 
2.2%
12 1
 
2.2%
53 1
 
2.2%
827 1
 
2.2%
832 1
 
2.2%
ValueCountFrequency (%)
920 1
 
2.2%
832 1
 
2.2%
827 1
 
2.2%
53 1
 
2.2%
12 1
 
2.2%
9 1
 
2.2%
8 1
 
2.2%
5 1
 
2.2%
3 1
 
2.2%
2 4
8.7%

201412승합비사업용
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)65.0%
Missing26
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean210.3
Minimum1
Maximum1168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:56.733757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median6.5
Q3298.75
95-th percentile1012.2
Maximum1168
Range1167
Interquartile range (IQR)297

Descriptive statistics

Standard deviation351.33581
Coefficient of variation (CV)1.670641
Kurtosis2.5497389
Mean210.3
Median Absolute Deviation (MAD)5.5
Skewness1.8168368
Sum4206
Variance123436.85
MonotonicityNot monotonic
2023-12-12T17:46:56.901025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 5
 
10.9%
4 3
 
6.5%
9 2
 
4.3%
1168 1
 
2.2%
521 1
 
2.2%
532 1
 
2.2%
246 1
 
2.2%
1004 1
 
2.2%
2 1
 
2.2%
457 1
 
2.2%
Other values (3) 3
 
6.5%
(Missing) 26
56.5%
ValueCountFrequency (%)
1 5
10.9%
2 1
 
2.2%
3 1
 
2.2%
4 3
6.5%
9 2
 
4.3%
68 1
 
2.2%
170 1
 
2.2%
246 1
 
2.2%
457 1
 
2.2%
521 1
 
2.2%
ValueCountFrequency (%)
1168 1
 
2.2%
1004 1
 
2.2%
532 1
 
2.2%
521 1
 
2.2%
457 1
 
2.2%
246 1
 
2.2%
170 1
 
2.2%
68 1
 
2.2%
9 2
4.3%
4 3
6.5%

201412승합사업용
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing39
Missing (%)84.8%
Infinite0
Infinite (%)0.0%
Mean109.28571
Minimum8
Maximum295
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:57.049363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile9.8
Q121.5
median33
Q3193
95-th percentile278.5
Maximum295
Range287
Interquartile range (IQR)171.5

Descriptive statistics

Standard deviation118.69248
Coefficient of variation (CV)1.086075
Kurtosis-1.2936459
Mean109.28571
Median Absolute Deviation (MAD)25
Skewness0.81248688
Sum765
Variance14087.905
MonotonicityNot monotonic
2023-12-12T17:46:57.188760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
8 1
 
2.2%
14 1
 
2.2%
240 1
 
2.2%
29 1
 
2.2%
295 1
 
2.2%
33 1
 
2.2%
146 1
 
2.2%
(Missing) 39
84.8%
ValueCountFrequency (%)
8 1
2.2%
14 1
2.2%
29 1
2.2%
33 1
2.2%
146 1
2.2%
240 1
2.2%
295 1
2.2%
ValueCountFrequency (%)
295 1
2.2%
240 1
2.2%
146 1
2.2%
33 1
2.2%
29 1
2.2%
14 1
2.2%
8 1
2.2%

201412특수비사업용
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
12
 
1
1
 
1
16
 
1
21
 
1

Length

Max length4
Median length4
Mean length3.8043478
Min length1

Unique

Unique4 ?
Unique (%)8.7%

Sample

1st row<NA>
2nd row12
3rd row1
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 42
91.3%
12 1
 
2.2%
1 1
 
2.2%
16 1
 
2.2%
21 1
 
2.2%

Length

2023-12-12T17:46:57.339207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:46:57.476684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
12 1
 
2.2%
1 1
 
2.2%
16 1
 
2.2%
21 1
 
2.2%

201412특수사업용
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
33
 
1
9
 
1
28
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.7826087
Min length1

Unique

Unique4 ?
Unique (%)8.7%

Sample

1st row<NA>
2nd row33
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 42
91.3%
33 1
 
2.2%
9 1
 
2.2%
28 1
 
2.2%
3 1
 
2.2%

Length

2023-12-12T17:46:57.625259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:46:57.769058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
33 1
 
2.2%
9 1
 
2.2%
28 1
 
2.2%
3 1
 
2.2%

201412화물비사업용
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)80.0%
Missing26
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean412.7
Minimum1
Maximum2718
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:57.922589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13.75
median9
Q3310
95-th percentile2631.55
Maximum2718
Range2717
Interquartile range (IQR)306.25

Descriptive statistics

Standard deviation836.65808
Coefficient of variation (CV)2.0272791
Kurtosis4.3417911
Mean412.7
Median Absolute Deviation (MAD)7.5
Skewness2.3069584
Sum8254
Variance699996.75
MonotonicityNot monotonic
2023-12-12T17:46:58.084689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
7 3
 
6.5%
1 2
 
4.3%
2 2
 
4.3%
2627 1
 
2.2%
45 1
 
2.2%
268 1
 
2.2%
4 1
 
2.2%
5 1
 
2.2%
436 1
 
2.2%
2718 1
 
2.2%
Other values (6) 6
 
13.0%
(Missing) 26
56.5%
ValueCountFrequency (%)
1 2
4.3%
2 2
4.3%
3 1
 
2.2%
4 1
 
2.2%
5 1
 
2.2%
7 3
6.5%
11 1
 
2.2%
12 1
 
2.2%
45 1
 
2.2%
263 1
 
2.2%
ValueCountFrequency (%)
2718 1
2.2%
2627 1
2.2%
1365 1
2.2%
470 1
2.2%
436 1
2.2%
268 1
2.2%
263 1
2.2%
45 1
2.2%
12 1
2.2%
11 1
2.2%

201412화물사업용
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)90.0%
Missing36
Missing (%)78.3%
Infinite0
Infinite (%)0.0%
Mean124.4
Minimum1
Maximum371
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:58.219216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q112.25
median78
Q3171.25
95-th percentile362.9
Maximum371
Range370
Interquartile range (IQR)159

Descriptive statistics

Standard deviation139.37575
Coefficient of variation (CV)1.1203839
Kurtosis-0.17692705
Mean124.4
Median Absolute Deviation (MAD)75
Skewness1.0558733
Sum1244
Variance19425.6
MonotonicityNot monotonic
2023-12-12T17:46:58.355656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 2
 
4.3%
371 1
 
2.2%
142 1
 
2.2%
181 1
 
2.2%
55 1
 
2.2%
353 1
 
2.2%
101 1
 
2.2%
34 1
 
2.2%
5 1
 
2.2%
(Missing) 36
78.3%
ValueCountFrequency (%)
1 2
4.3%
5 1
2.2%
34 1
2.2%
55 1
2.2%
101 1
2.2%
142 1
2.2%
181 1
2.2%
353 1
2.2%
371 1
2.2%
ValueCountFrequency (%)
371 1
2.2%
353 1
2.2%
181 1
2.2%
142 1
2.2%
101 1
2.2%
55 1
2.2%
34 1
2.2%
5 1
2.2%
1 2
4.3%

201512승용비사업용
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)84.4%
Missing14
Missing (%)30.4%
Infinite0
Infinite (%)0.0%
Mean1833.0938
Minimum1
Maximum9945
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:58.899028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q17
median237.5
Q32617.75
95-th percentile7424.75
Maximum9945
Range9944
Interquartile range (IQR)2610.75

Descriptive statistics

Standard deviation2733.112
Coefficient of variation (CV)1.4909832
Kurtosis1.6662954
Mean1833.0938
Median Absolute Deviation (MAD)236.5
Skewness1.5888333
Sum58659
Variance7469901.4
MonotonicityNot monotonic
2023-12-12T17:46:59.070338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1 5
 
10.9%
7 2
 
4.3%
3910 1
 
2.2%
951 1
 
2.2%
594 1
 
2.2%
19 1
 
2.2%
254 1
 
2.2%
663 1
 
2.2%
7346 1
 
2.2%
4371 1
 
2.2%
Other values (17) 17
37.0%
(Missing) 14
30.4%
ValueCountFrequency (%)
1 5
10.9%
2 1
 
2.2%
5 1
 
2.2%
7 2
 
4.3%
11 1
 
2.2%
13 1
 
2.2%
19 1
 
2.2%
25 1
 
2.2%
70 1
 
2.2%
132 1
 
2.2%
ValueCountFrequency (%)
9945 1
2.2%
7521 1
2.2%
7346 1
2.2%
6340 1
2.2%
5289 1
2.2%
4371 1
2.2%
3910 1
2.2%
2740 1
2.2%
2577 1
2.2%
2250 1
2.2%

201512승용사업용
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)61.1%
Missing28
Missing (%)60.9%
Infinite0
Infinite (%)0.0%
Mean152.55556
Minimum1
Maximum1014
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:59.211895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3.5
Q329.75
95-th percentile915.4
Maximum1014
Range1013
Interquartile range (IQR)28.75

Descriptive statistics

Standard deviation334.05041
Coefficient of variation (CV)2.1896968
Kurtosis2.7796773
Mean152.55556
Median Absolute Deviation (MAD)2.5
Skewness2.065366
Sum2746
Variance111589.67
MonotonicityNot monotonic
2023-12-12T17:46:59.374574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 7
 
15.2%
2 2
 
4.3%
9 1
 
2.2%
1014 1
 
2.2%
14 1
 
2.2%
35 1
 
2.2%
690 1
 
2.2%
5 1
 
2.2%
898 1
 
2.2%
10 1
 
2.2%
(Missing) 28
60.9%
ValueCountFrequency (%)
1 7
15.2%
2 2
 
4.3%
5 1
 
2.2%
9 1
 
2.2%
10 1
 
2.2%
14 1
 
2.2%
35 1
 
2.2%
60 1
 
2.2%
690 1
 
2.2%
898 1
 
2.2%
ValueCountFrequency (%)
1014 1
2.2%
898 1
2.2%
690 1
2.2%
60 1
2.2%
35 1
2.2%
14 1
2.2%
10 1
2.2%
9 1
2.2%
5 1
2.2%
2 2
4.3%

201512승합비사업용
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)65.0%
Missing26
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean198.5
Minimum1
Maximum1167
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:59.522632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.5
median4.5
Q3257
95-th percentile983.65
Maximum1167
Range1166
Interquartile range (IQR)254.5

Descriptive statistics

Standard deviation341.19982
Coefficient of variation (CV)1.7188908
Kurtosis3.256661
Mean198.5
Median Absolute Deviation (MAD)3.5
Skewness1.9675511
Sum3970
Variance116417.32
MonotonicityNot monotonic
2023-12-12T17:46:59.687685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 5
 
10.9%
4 3
 
6.5%
3 2
 
4.3%
1167 1
 
2.2%
439 1
 
2.2%
9 1
 
2.2%
525 1
 
2.2%
219 1
 
2.2%
974 1
 
2.2%
371 1
 
2.2%
Other values (3) 3
 
6.5%
(Missing) 26
56.5%
ValueCountFrequency (%)
1 5
10.9%
3 2
 
4.3%
4 3
6.5%
5 1
 
2.2%
9 1
 
2.2%
60 1
 
2.2%
178 1
 
2.2%
219 1
 
2.2%
371 1
 
2.2%
439 1
 
2.2%
ValueCountFrequency (%)
1167 1
2.2%
974 1
2.2%
525 1
2.2%
439 1
2.2%
371 1
2.2%
219 1
2.2%
178 1
2.2%
60 1
2.2%
9 1
2.2%
5 1
2.2%

201512승합사업용
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing39
Missing (%)84.8%
Infinite0
Infinite (%)0.0%
Mean110.57143
Minimum8
Maximum296
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:46:59.838853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile11.3
Q124.5
median35
Q3193
95-th percentile279.2
Maximum296
Range288
Interquartile range (IQR)168.5

Descriptive statistics

Standard deviation117.96872
Coefficient of variation (CV)1.0669006
Kurtosis-1.255057
Mean110.57143
Median Absolute Deviation (MAD)27
Skewness0.82244757
Sum774
Variance13916.619
MonotonicityNot monotonic
2023-12-12T17:47:00.026773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
8 1
 
2.2%
30 1
 
2.2%
240 1
 
2.2%
19 1
 
2.2%
296 1
 
2.2%
35 1
 
2.2%
146 1
 
2.2%
(Missing) 39
84.8%
ValueCountFrequency (%)
8 1
2.2%
19 1
2.2%
30 1
2.2%
35 1
2.2%
146 1
2.2%
240 1
2.2%
296 1
2.2%
ValueCountFrequency (%)
296 1
2.2%
240 1
2.2%
146 1
2.2%
35 1
2.2%
30 1
2.2%
19 1
2.2%
8 1
2.2%

201512특수비사업용
Categorical

IMBALANCE 

Distinct6
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
40 
1
 
2
15
 
1
19
 
1
13
 
1

Length

Max length4
Median length4
Mean length3.673913
Min length1

Unique

Unique4 ?
Unique (%)8.7%

Sample

1st row<NA>
2nd row15
3rd row1
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 40
87.0%
1 2
 
4.3%
15 1
 
2.2%
19 1
 
2.2%
13 1
 
2.2%
2 1
 
2.2%

Length

2023-12-12T17:47:00.258591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:47:00.432231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
87.0%
1 2
 
4.3%
15 1
 
2.2%
19 1
 
2.2%
13 1
 
2.2%
2 1
 
2.2%

201512특수사업용
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
30
 
2
9
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.7826087
Min length1

Unique

Unique2 ?
Unique (%)4.3%

Sample

1st row<NA>
2nd row30
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 42
91.3%
30 2
 
4.3%
9 1
 
2.2%
4 1
 
2.2%

Length

2023-12-12T17:47:00.618757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:47:00.805241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
30 2
 
4.3%
9 1
 
2.2%
4 1
 
2.2%

201512화물비사업용
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)85.0%
Missing26
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean411.9
Minimum1
Maximum2770
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:47:00.942813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.95
Q13.75
median10
Q3306.5
95-th percentile2630.35
Maximum2770
Range2769
Interquartile range (IQR)302.75

Descriptive statistics

Standard deviation846.26261
Coefficient of variation (CV)2.0545341
Kurtosis4.3705351
Mean411.9
Median Absolute Deviation (MAD)8.5
Skewness2.3207965
Sum8238
Variance716160.41
MonotonicityNot monotonic
2023-12-12T17:47:01.082587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2 3
 
6.5%
7 2
 
4.3%
9 1
 
2.2%
1 1
 
2.2%
37 1
 
2.2%
283 1
 
2.2%
4 1
 
2.2%
5 1
 
2.2%
377 1
 
2.2%
2770 1
 
2.2%
Other values (7) 7
 
15.2%
(Missing) 26
56.5%
ValueCountFrequency (%)
1 1
 
2.2%
2 3
6.5%
3 1
 
2.2%
4 1
 
2.2%
5 1
 
2.2%
7 2
4.3%
9 1
 
2.2%
11 1
 
2.2%
20 1
 
2.2%
37 1
 
2.2%
ValueCountFrequency (%)
2770 1
2.2%
2623 1
2.2%
1409 1
2.2%
422 1
2.2%
377 1
2.2%
283 1
2.2%
244 1
2.2%
37 1
2.2%
20 1
2.2%
11 1
2.2%

201512화물사업용
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing37
Missing (%)80.4%
Infinite0
Infinite (%)0.0%
Mean138.77778
Minimum1
Maximum369
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:47:01.245879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q137
median108
Q3189
95-th percentile361.8
Maximum369
Range368
Interquartile range (IQR)152

Descriptive statistics

Standard deviation139.57684
Coefficient of variation (CV)1.0057579
Kurtosis-0.56451147
Mean138.77778
Median Absolute Deviation (MAD)81
Skewness0.89933329
Sum1249
Variance19481.694
MonotonicityNot monotonic
2023-12-12T17:47:01.399906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 1
 
2.2%
369 1
 
2.2%
135 1
 
2.2%
189 1
 
2.2%
53 1
 
2.2%
351 1
 
2.2%
108 1
 
2.2%
37 1
 
2.2%
6 1
 
2.2%
(Missing) 37
80.4%
ValueCountFrequency (%)
1 1
2.2%
6 1
2.2%
37 1
2.2%
53 1
2.2%
108 1
2.2%
135 1
2.2%
189 1
2.2%
351 1
2.2%
369 1
2.2%
ValueCountFrequency (%)
369 1
2.2%
351 1
2.2%
189 1
2.2%
135 1
2.2%
108 1
2.2%
53 1
2.2%
37 1
2.2%
6 1
2.2%
1 1
2.2%

201612승용비사업용
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)80.6%
Missing10
Missing (%)21.7%
Infinite0
Infinite (%)0.0%
Mean1666.5556
Minimum1
Maximum9848
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:47:01.547802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median142.5
Q32333.5
95-th percentile7496.25
Maximum9848
Range9847
Interquartile range (IQR)2328.5

Descriptive statistics

Standard deviation2692.8768
Coefficient of variation (CV)1.6158338
Kurtosis2.0577356
Mean1666.5556
Median Absolute Deviation (MAD)141.5
Skewness1.7310145
Sum59996
Variance7251585.7
MonotonicityNot monotonic
2023-12-12T17:47:01.770418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 6
 
13.0%
5 2
 
4.3%
10 2
 
4.3%
959 1
 
2.2%
612 1
 
2.2%
31 1
 
2.2%
240 1
 
2.2%
706 1
 
2.2%
7286 1
 
2.2%
4535 1
 
2.2%
Other values (19) 19
41.3%
(Missing) 10
21.7%
ValueCountFrequency (%)
1 6
13.0%
2 1
 
2.2%
3 1
 
2.2%
5 2
 
4.3%
9 1
 
2.2%
10 2
 
4.3%
13 1
 
2.2%
16 1
 
2.2%
24 1
 
2.2%
31 1
 
2.2%
ValueCountFrequency (%)
9848 1
2.2%
8127 1
2.2%
7286 1
2.2%
6435 1
2.2%
5785 1
2.2%
4535 1
2.2%
3860 1
2.2%
2961 1
2.2%
2407 1
2.2%
2309 1
2.2%

201612승용사업용
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)63.2%
Missing27
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean148.94737
Minimum1
Maximum985
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:47:01.965449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q339.5
95-th percentile897.7
Maximum985
Range984
Interquartile range (IQR)38.5

Descriptive statistics

Standard deviation322.98856
Coefficient of variation (CV)2.1684744
Kurtosis2.8626953
Mean148.94737
Median Absolute Deviation (MAD)2
Skewness2.091675
Sum2830
Variance104321.61
MonotonicityNot monotonic
2023-12-12T17:47:02.133329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 6
 
13.0%
2 3
 
6.5%
15 1
 
2.2%
985 1
 
2.2%
14 1
 
2.2%
108 1
 
2.2%
3 1
 
2.2%
724 1
 
2.2%
6 1
 
2.2%
888 1
 
2.2%
Other values (2) 2
 
4.3%
(Missing) 27
58.7%
ValueCountFrequency (%)
1 6
13.0%
2 3
6.5%
3 1
 
2.2%
6 1
 
2.2%
11 1
 
2.2%
14 1
 
2.2%
15 1
 
2.2%
64 1
 
2.2%
108 1
 
2.2%
724 1
 
2.2%
ValueCountFrequency (%)
985 1
2.2%
888 1
2.2%
724 1
2.2%
108 1
2.2%
64 1
2.2%
15 1
2.2%
14 1
2.2%
11 1
2.2%
6 1
2.2%
3 1
2.2%

201612승합비사업용
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)70.0%
Missing26
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean185.65
Minimum1
Maximum1134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:47:02.293704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median5.5
Q3213
95-th percentile974.4
Maximum1134
Range1133
Interquartile range (IQR)211.25

Descriptive statistics

Standard deviation330.2564
Coefficient of variation (CV)1.7789195
Kurtosis3.7741129
Mean185.65
Median Absolute Deviation (MAD)4.5
Skewness2.0961166
Sum3713
Variance109069.29
MonotonicityNot monotonic
2023-12-12T17:47:02.473721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 5
 
10.9%
4 3
 
6.5%
1134 1
 
2.2%
363 1
 
2.2%
8 1
 
2.2%
500 1
 
2.2%
181 1
 
2.2%
5 1
 
2.2%
966 1
 
2.2%
2 1
 
2.2%
Other values (4) 4
 
8.7%
(Missing) 26
56.5%
ValueCountFrequency (%)
1 5
10.9%
2 1
 
2.2%
4 3
6.5%
5 1
 
2.2%
6 1
 
2.2%
8 1
 
2.2%
49 1
 
2.2%
173 1
 
2.2%
181 1
 
2.2%
309 1
 
2.2%
ValueCountFrequency (%)
1134 1
2.2%
966 1
2.2%
500 1
2.2%
363 1
2.2%
309 1
2.2%
181 1
2.2%
173 1
2.2%
49 1
2.2%
8 1
2.2%
6 1
2.2%

201612승합사업용
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing39
Missing (%)84.8%
Infinite0
Infinite (%)0.0%
Mean107.57143
Minimum8
Maximum291
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:47:02.606448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10.7
Q118
median32
Q3193
95-th percentile275.7
Maximum291
Range283
Interquartile range (IQR)175

Descriptive statistics

Standard deviation118.5564
Coefficient of variation (CV)1.1021179
Kurtosis-1.3807085
Mean107.57143
Median Absolute Deviation (MAD)24
Skewness0.79732913
Sum753
Variance14055.619
MonotonicityNot monotonic
2023-12-12T17:47:02.769018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
8 1
 
2.2%
32 1
 
2.2%
240 1
 
2.2%
19 1
 
2.2%
291 1
 
2.2%
17 1
 
2.2%
146 1
 
2.2%
(Missing) 39
84.8%
ValueCountFrequency (%)
8 1
2.2%
17 1
2.2%
19 1
2.2%
32 1
2.2%
146 1
2.2%
240 1
2.2%
291 1
2.2%
ValueCountFrequency (%)
291 1
2.2%
240 1
2.2%
146 1
2.2%
32 1
2.2%
19 1
2.2%
17 1
2.2%
8 1
2.2%

201612특수비사업용
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
13
 
1
19
 
1
15
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.8043478
Min length1

Unique

Unique4 ?
Unique (%)8.7%

Sample

1st row<NA>
2nd row13
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 42
91.3%
13 1
 
2.2%
19 1
 
2.2%
15 1
 
2.2%
3 1
 
2.2%

Length

2023-12-12T17:47:02.944607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:47:03.110452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
13 1
 
2.2%
19 1
 
2.2%
15 1
 
2.2%
3 1
 
2.2%

201612특수사업용
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
23
 
1
16
 
1
35
 
1
7
 
1

Length

Max length4
Median length4
Mean length3.8043478
Min length1

Unique

Unique4 ?
Unique (%)8.7%

Sample

1st row<NA>
2nd row23
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 42
91.3%
23 1
 
2.2%
16 1
 
2.2%
35 1
 
2.2%
7 1
 
2.2%

Length

2023-12-12T17:47:03.292174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:47:03.435930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
23 1
 
2.2%
16 1
 
2.2%
35 1
 
2.2%
7 1
 
2.2%

201612화물비사업용
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)81.0%
Missing25
Missing (%)54.3%
Infinite0
Infinite (%)0.0%
Mean391.38095
Minimum1
Maximum2754
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:47:03.559226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median11
Q3267
95-th percentile2734
Maximum2754
Range2753
Interquartile range (IQR)263

Descriptive statistics

Standard deviation844.26622
Coefficient of variation (CV)2.1571469
Kurtosis4.8314708
Mean391.38095
Median Absolute Deviation (MAD)9
Skewness2.4205952
Sum8219
Variance712785.45
MonotonicityNot monotonic
2023-12-12T17:47:03.693122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
4 3
 
6.5%
7 2
 
4.3%
1 2
 
4.3%
12 1
 
2.2%
377 1
 
2.2%
1428 1
 
2.2%
218 1
 
2.2%
2 1
 
2.2%
18 1
 
2.2%
2754 1
 
2.2%
Other values (7) 7
 
15.2%
(Missing) 25
54.3%
ValueCountFrequency (%)
1 2
4.3%
2 1
 
2.2%
3 1
 
2.2%
4 3
6.5%
6 1
 
2.2%
7 2
4.3%
11 1
 
2.2%
12 1
 
2.2%
18 1
 
2.2%
27 1
 
2.2%
ValueCountFrequency (%)
2754 1
2.2%
2734 1
2.2%
1428 1
2.2%
377 1
2.2%
334 1
2.2%
267 1
2.2%
218 1
2.2%
27 1
2.2%
18 1
2.2%
12 1
2.2%

201612화물사업용
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing37
Missing (%)80.4%
Infinite0
Infinite (%)0.0%
Mean133.55556
Minimum1
Maximum357
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:47:03.822009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.6
Q138
median104
Q3186
95-th percentile351.4
Maximum357
Range356
Interquartile range (IQR)148

Descriptive statistics

Standard deviation135.66513
Coefficient of variation (CV)1.0157955
Kurtosis-0.51584674
Mean133.55556
Median Absolute Deviation (MAD)82
Skewness0.94246212
Sum1202
Variance18405.028
MonotonicityNot monotonic
2023-12-12T17:47:03.934101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 1
 
2.2%
357 1
 
2.2%
113 1
 
2.2%
186 1
 
2.2%
55 1
 
2.2%
343 1
 
2.2%
104 1
 
2.2%
38 1
 
2.2%
5 1
 
2.2%
(Missing) 37
80.4%
ValueCountFrequency (%)
1 1
2.2%
5 1
2.2%
38 1
2.2%
55 1
2.2%
104 1
2.2%
113 1
2.2%
186 1
2.2%
343 1
2.2%
357 1
2.2%
ValueCountFrequency (%)
357 1
2.2%
343 1
2.2%
186 1
2.2%
113 1
2.2%
104 1
2.2%
55 1
2.2%
38 1
2.2%
5 1
2.2%
1 1
2.2%

201712승용비사업용
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)76.3%
Missing8
Missing (%)17.4%
Infinite0
Infinite (%)0.0%
Mean1612.0789
Minimum1
Maximum10129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:47:04.099934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14.25
median78.5
Q32202
95-th percentile7596.05
Maximum10129
Range10128
Interquartile range (IQR)2197.75

Descriptive statistics

Standard deviation2719.3403
Coefficient of variation (CV)1.686853
Kurtosis2.4984687
Mean1612.0789
Median Absolute Deviation (MAD)77.5
Skewness1.8460976
Sum61259
Variance7394811.4
MonotonicityNot monotonic
2023-12-12T17:47:04.244349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 7
 
15.2%
15 2
 
4.3%
5 2
 
4.3%
3 2
 
4.3%
20 1
 
2.2%
1908 1
 
2.2%
921 1
 
2.2%
614 1
 
2.2%
47 1
 
2.2%
236 1
 
2.2%
Other values (19) 19
41.3%
(Missing) 8
17.4%
ValueCountFrequency (%)
1 7
15.2%
3 2
 
4.3%
4 1
 
2.2%
5 2
 
4.3%
8 1
 
2.2%
9 1
 
2.2%
13 1
 
2.2%
15 2
 
4.3%
20 1
 
2.2%
47 1
 
2.2%
ValueCountFrequency (%)
10129 1
2.2%
8520 1
2.2%
7433 1
2.2%
6470 1
2.2%
6098 1
2.2%
4675 1
2.2%
3786 1
2.2%
2989 1
2.2%
2308 1
2.2%
2300 1
2.2%

201712승용사업용
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)75.0%
Missing30
Missing (%)65.2%
Infinite0
Infinite (%)0.0%
Mean170.5
Minimum1
Maximum943
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:47:04.365386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4.5
Q371.25
95-th percentile904
Maximum943
Range942
Interquartile range (IQR)69.25

Descriptive statistics

Standard deviation338.07948
Coefficient of variation (CV)1.9828708
Kurtosis1.7060451
Mean170.5
Median Absolute Deviation (MAD)3.5
Skewness1.8267866
Sum2728
Variance114297.73
MonotonicityNot monotonic
2023-12-12T17:47:04.467370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 3
 
6.5%
1 3
 
6.5%
8 1
 
2.2%
943 1
 
2.2%
5 1
 
2.2%
96 1
 
2.2%
3 1
 
2.2%
695 1
 
2.2%
4 1
 
2.2%
891 1
 
2.2%
Other values (2) 2
 
4.3%
(Missing) 30
65.2%
ValueCountFrequency (%)
1 3
6.5%
2 3
6.5%
3 1
 
2.2%
4 1
 
2.2%
5 1
 
2.2%
8 1
 
2.2%
11 1
 
2.2%
63 1
 
2.2%
96 1
 
2.2%
695 1
 
2.2%
ValueCountFrequency (%)
943 1
2.2%
891 1
2.2%
695 1
2.2%
96 1
2.2%
63 1
2.2%
11 1
2.2%
8 1
2.2%
5 1
2.2%
4 1
2.2%
3 1
2.2%

201712승합비사업용
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)66.7%
Missing28
Missing (%)60.9%
Infinite0
Infinite (%)0.0%
Mean196
Minimum1
Maximum1127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:47:04.582942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5.5
Q3249
95-th percentile981.65
Maximum1127
Range1126
Interquartile range (IQR)245

Descriptive statistics

Standard deviation337.10847
Coefficient of variation (CV)1.7199412
Kurtosis3.5585618
Mean196
Median Absolute Deviation (MAD)4.5
Skewness2.0590549
Sum3528
Variance113642.12
MonotonicityNot monotonic
2023-12-12T17:47:04.715835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4 4
 
8.7%
1 4
 
8.7%
1127 1
 
2.2%
300 1
 
2.2%
6 1
 
2.2%
467 1
 
2.2%
151 1
 
2.2%
5 1
 
2.2%
956 1
 
2.2%
272 1
 
2.2%
Other values (2) 2
 
4.3%
(Missing) 28
60.9%
ValueCountFrequency (%)
1 4
8.7%
4 4
8.7%
5 1
 
2.2%
6 1
 
2.2%
44 1
 
2.2%
151 1
 
2.2%
180 1
 
2.2%
272 1
 
2.2%
300 1
 
2.2%
467 1
 
2.2%
ValueCountFrequency (%)
1127 1
2.2%
956 1
2.2%
467 1
2.2%
300 1
2.2%
272 1
2.2%
180 1
2.2%
151 1
2.2%
44 1
2.2%
6 1
2.2%
5 1
2.2%

201712승합사업용
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing38
Missing (%)82.6%
Infinite0
Infinite (%)0.0%
Mean92.5
Minimum1
Maximum288
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:47:04.832619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.45
Q114.75
median21.5
Q3168.75
95-th percentile270.15
Maximum288
Range287
Interquartile range (IQR)154

Descriptive statistics

Standard deviation115.4383
Coefficient of variation (CV)1.2479816
Kurtosis-0.8260411
Mean92.5
Median Absolute Deviation (MAD)17
Skewness1.0056125
Sum740
Variance13326
MonotonicityNot monotonic
2023-12-12T17:47:04.968396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
8 1
 
2.2%
25 1
 
2.2%
237 1
 
2.2%
18 1
 
2.2%
288 1
 
2.2%
17 1
 
2.2%
1 1
 
2.2%
146 1
 
2.2%
(Missing) 38
82.6%
ValueCountFrequency (%)
1 1
2.2%
8 1
2.2%
17 1
2.2%
18 1
2.2%
25 1
2.2%
146 1
2.2%
237 1
2.2%
288 1
2.2%
ValueCountFrequency (%)
288 1
2.2%
237 1
2.2%
146 1
2.2%
25 1
2.2%
18 1
2.2%
17 1
2.2%
8 1
2.2%
1 1
2.2%

201712특수비사업용
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
15
 
2
21
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.8043478
Min length1

Unique

Unique2 ?
Unique (%)4.3%

Sample

1st row<NA>
2nd row15
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 42
91.3%
15 2
 
4.3%
21 1
 
2.2%
4 1
 
2.2%

Length

2023-12-12T17:47:05.185201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:47:05.303610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
15 2
 
4.3%
21 1
 
2.2%
4 1
 
2.2%

201712특수사업용
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
32
 
1
18
 
1
37
 
1
7
 
1

Length

Max length4
Median length4
Mean length3.8043478
Min length1

Unique

Unique4 ?
Unique (%)8.7%

Sample

1st row<NA>
2nd row32
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 42
91.3%
32 1
 
2.2%
18 1
 
2.2%
37 1
 
2.2%
7 1
 
2.2%

Length

2023-12-12T17:47:05.448729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:47:05.599377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
32 1
 
2.2%
18 1
 
2.2%
37 1
 
2.2%
7 1
 
2.2%

201712화물비사업용
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)76.2%
Missing25
Missing (%)54.3%
Infinite0
Infinite (%)0.0%
Mean391.95238
Minimum1
Maximum2806
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:47:05.734849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median11
Q3278
95-th percentile2770
Maximum2806
Range2805
Interquartile range (IQR)275

Descriptive statistics

Standard deviation855.48808
Coefficient of variation (CV)2.1826327
Kurtosis4.9788829
Mean391.95238
Median Absolute Deviation (MAD)10
Skewness2.4497601
Sum8231
Variance731859.85
MonotonicityNot monotonic
2023-12-12T17:47:05.883969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3 3
 
6.5%
6 2
 
4.3%
2 2
 
4.3%
1 2
 
4.3%
2806 1
 
2.2%
24 1
 
2.2%
278 1
 
2.2%
320 1
 
2.2%
12 1
 
2.2%
2770 1
 
2.2%
Other values (6) 6
 
13.0%
(Missing) 25
54.3%
ValueCountFrequency (%)
1 2
4.3%
2 2
4.3%
3 3
6.5%
6 2
4.3%
7 1
 
2.2%
11 1
 
2.2%
12 1
 
2.2%
24 1
 
2.2%
26 1
 
2.2%
199 1
 
2.2%
ValueCountFrequency (%)
2806 1
2.2%
2770 1
2.2%
1406 1
2.2%
345 1
2.2%
320 1
2.2%
278 1
2.2%
199 1
2.2%
26 1
2.2%
24 1
2.2%
12 1
2.2%

201712화물사업용
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)100.0%
Missing37
Missing (%)80.4%
Infinite0
Infinite (%)0.0%
Mean131.66667
Minimum1
Maximum351
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:47:06.034532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.6
Q138
median97
Q3195
95-th percentile348.6
Maximum351
Range350
Interquartile range (IQR)157

Descriptive statistics

Standard deviation136.37907
Coefficient of variation (CV)1.0357904
Kurtosis-0.63351919
Mean131.66667
Median Absolute Deviation (MAD)92
Skewness0.93288143
Sum1185
Variance18599.25
MonotonicityNot monotonic
2023-12-12T17:47:06.168212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 1
 
2.2%
351 1
 
2.2%
108 1
 
2.2%
195 1
 
2.2%
45 1
 
2.2%
345 1
 
2.2%
97 1
 
2.2%
38 1
 
2.2%
5 1
 
2.2%
(Missing) 37
80.4%
ValueCountFrequency (%)
1 1
2.2%
5 1
2.2%
38 1
2.2%
45 1
2.2%
97 1
2.2%
108 1
2.2%
195 1
2.2%
345 1
2.2%
351 1
2.2%
ValueCountFrequency (%)
351 1
2.2%
345 1
2.2%
195 1
2.2%
108 1
2.2%
97 1
2.2%
45 1
2.2%
38 1
2.2%
5 1
2.2%
1 1
2.2%

201812승용비사업용
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)84.2%
Missing8
Missing (%)17.4%
Infinite0
Infinite (%)0.0%
Mean1610.2105
Minimum1
Maximum9869
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:47:06.323992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q17.25
median105
Q32093.5
95-th percentile7656.1
Maximum9869
Range9868
Interquartile range (IQR)2086.25

Descriptive statistics

Standard deviation2700.7517
Coefficient of variation (CV)1.6772662
Kurtosis2.3288133
Mean1610.2105
Median Absolute Deviation (MAD)104
Skewness1.8236289
Sum61188
Variance7294060
MonotonicityNot monotonic
2023-12-12T17:47:06.496279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 6
 
13.0%
8 2
 
4.3%
7510 1
 
2.2%
1828 1
 
2.2%
28 1
 
2.2%
18 1
 
2.2%
367 1
 
2.2%
4696 1
 
2.2%
761 1
 
2.2%
7 1
 
2.2%
Other values (22) 22
47.8%
(Missing) 8
 
17.4%
ValueCountFrequency (%)
1 6
13.0%
2 1
 
2.2%
4 1
 
2.2%
5 1
 
2.2%
7 1
 
2.2%
8 2
 
4.3%
9 1
 
2.2%
16 1
 
2.2%
18 1
 
2.2%
19 1
 
2.2%
ValueCountFrequency (%)
9869 1
2.2%
8484 1
2.2%
7510 1
2.2%
6377 1
2.2%
6305 1
2.2%
4696 1
2.2%
3753 1
2.2%
3059 1
2.2%
2268 1
2.2%
2182 1
2.2%

201812승용사업용
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)68.8%
Missing30
Missing (%)65.2%
Infinite0
Infinite (%)0.0%
Mean164.875
Minimum1
Maximum902
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:47:06.632904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5.5
Q359.5
95-th percentile871.25
Maximum902
Range901
Interquartile range (IQR)57.5

Descriptive statistics

Standard deviation329.10583
Coefficient of variation (CV)1.996093
Kurtosis1.5799481
Mean164.875
Median Absolute Deviation (MAD)4.5
Skewness1.811866
Sum2638
Variance108310.65
MonotonicityNot monotonic
2023-12-12T17:47:06.768029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 3
 
6.5%
3 3
 
6.5%
2 2
 
4.3%
15 1
 
2.2%
902 1
 
2.2%
61 1
 
2.2%
8 1
 
2.2%
705 1
 
2.2%
861 1
 
2.2%
11 1
 
2.2%
(Missing) 30
65.2%
ValueCountFrequency (%)
1 3
6.5%
2 2
4.3%
3 3
6.5%
8 1
 
2.2%
11 1
 
2.2%
15 1
 
2.2%
59 1
 
2.2%
61 1
 
2.2%
705 1
 
2.2%
861 1
 
2.2%
ValueCountFrequency (%)
902 1
 
2.2%
861 1
 
2.2%
705 1
 
2.2%
61 1
 
2.2%
59 1
 
2.2%
15 1
 
2.2%
11 1
 
2.2%
8 1
 
2.2%
3 3
6.5%
2 2
4.3%

201812승합비사업용
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)73.7%
Missing27
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean173.68421
Minimum1
Maximum1065
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:47:06.896693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13.5
median6
Q3205.5
95-th percentile951.6
Maximum1065
Range1064
Interquartile range (IQR)202

Descriptive statistics

Standard deviation316.60685
Coefficient of variation (CV)1.8228879
Kurtosis4.0629073
Mean173.68421
Median Absolute Deviation (MAD)5
Skewness2.1871417
Sum3300
Variance100239.89
MonotonicityNot monotonic
2023-12-12T17:47:07.035556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 3
 
6.5%
4 3
 
6.5%
3 2
 
4.3%
1065 1
 
2.2%
7 1
 
2.2%
269 1
 
2.2%
6 1
 
2.2%
435 1
 
2.2%
112 1
 
2.2%
5 1
 
2.2%
Other values (4) 4
 
8.7%
(Missing) 27
58.7%
ValueCountFrequency (%)
1 3
6.5%
3 2
4.3%
4 3
6.5%
5 1
 
2.2%
6 1
 
2.2%
7 1
 
2.2%
30 1
 
2.2%
112 1
 
2.2%
175 1
 
2.2%
236 1
 
2.2%
ValueCountFrequency (%)
1065 1
2.2%
939 1
2.2%
435 1
2.2%
269 1
2.2%
236 1
2.2%
175 1
2.2%
112 1
2.2%
30 1
2.2%
7 1
2.2%
6 1
2.2%

201812승합사업용
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing39
Missing (%)84.8%
Infinite0
Infinite (%)0.0%
Mean105.57143
Minimum8
Maximum286
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:47:07.136617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile11
Q118.5
median25
Q3191.5
95-th percentile271.3
Maximum286
Range278
Interquartile range (IQR)173

Descriptive statistics

Standard deviation117.35822
Coefficient of variation (CV)1.1116476
Kurtosis-1.4426998
Mean105.57143
Median Absolute Deviation (MAD)17
Skewness0.78497174
Sum739
Variance13772.952
MonotonicityNot monotonic
2023-12-12T17:47:07.227249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
8 1
 
2.2%
25 1
 
2.2%
237 1
 
2.2%
18 1
 
2.2%
286 1
 
2.2%
19 1
 
2.2%
146 1
 
2.2%
(Missing) 39
84.8%
ValueCountFrequency (%)
8 1
2.2%
18 1
2.2%
19 1
2.2%
25 1
2.2%
146 1
2.2%
237 1
2.2%
286 1
2.2%
ValueCountFrequency (%)
286 1
2.2%
237 1
2.2%
146 1
2.2%
25 1
2.2%
19 1
2.2%
18 1
2.2%
8 1
2.2%

201812특수비사업용
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
41 
1
 
2
12
 
1
21
 
1
19
 
1

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique3 ?
Unique (%)6.5%

Sample

1st row<NA>
2nd row12
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 41
89.1%
1 2
 
4.3%
12 1
 
2.2%
21 1
 
2.2%
19 1
 
2.2%

Length

2023-12-12T17:47:07.358298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:47:07.462633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 41
89.1%
1 2
 
4.3%
12 1
 
2.2%
21 1
 
2.2%
19 1
 
2.2%

201812특수사업용
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
35
 
1
19
 
1
42
 
1
6
 
1

Length

Max length4
Median length4
Mean length3.8043478
Min length1

Unique

Unique4 ?
Unique (%)8.7%

Sample

1st row<NA>
2nd row35
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 42
91.3%
35 1
 
2.2%
19 1
 
2.2%
42 1
 
2.2%
6 1
 
2.2%

Length

2023-12-12T17:47:07.589590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:47:07.727033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
35 1
 
2.2%
19 1
 
2.2%
42 1
 
2.2%
6 1
 
2.2%

201812화물비사업용
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)80.0%
Missing26
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean404.2
Minimum1
Maximum2781
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:47:07.824043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14.5
median12.5
Q3281.5
95-th percentile2732.55
Maximum2781
Range2780
Interquartile range (IQR)277

Descriptive statistics

Standard deviation863.38578
Coefficient of variation (CV)2.1360361
Kurtosis4.582175
Mean404.2
Median Absolute Deviation (MAD)11.5
Skewness2.3780064
Sum8084
Variance745435.01
MonotonicityNot monotonic
2023-12-12T17:47:07.957894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
10 2
 
4.3%
3 2
 
4.3%
1 2
 
4.3%
5 2
 
4.3%
15 1
 
2.2%
25 1
 
2.2%
279 1
 
2.2%
7 1
 
2.2%
289 1
 
2.2%
2730 1
 
2.2%
Other values (6) 6
 
13.0%
(Missing) 26
56.5%
ValueCountFrequency (%)
1 2
4.3%
2 1
2.2%
3 2
4.3%
5 2
4.3%
7 1
2.2%
10 2
4.3%
15 1
2.2%
25 1
2.2%
28 1
2.2%
195 1
2.2%
ValueCountFrequency (%)
2781 1
2.2%
2730 1
2.2%
1398 1
2.2%
297 1
2.2%
289 1
2.2%
279 1
2.2%
195 1
2.2%
28 1
2.2%
25 1
2.2%
15 1
2.2%

201812화물사업용
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)90.0%
Missing36
Missing (%)78.3%
Infinite0
Infinite (%)0.0%
Mean126
Minimum1
Maximum389
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:47:08.100035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q115.5
median67
Q3180.75
95-th percentile387.65
Maximum389
Range388
Interquartile range (IQR)165.25

Descriptive statistics

Standard deviation151.3069
Coefficient of variation (CV)1.2008484
Kurtosis-0.092537387
Mean126
Median Absolute Deviation (MAD)62.5
Skewness1.1812599
Sum1260
Variance22893.778
MonotonicityNot monotonic
2023-12-12T17:47:08.242395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 2
 
4.3%
386 1
 
2.2%
92 1
 
2.2%
210 1
 
2.2%
38 1
 
2.2%
389 1
 
2.2%
93 1
 
2.2%
42 1
 
2.2%
8 1
 
2.2%
(Missing) 36
78.3%
ValueCountFrequency (%)
1 2
4.3%
8 1
2.2%
38 1
2.2%
42 1
2.2%
92 1
2.2%
93 1
2.2%
210 1
2.2%
386 1
2.2%
389 1
2.2%
ValueCountFrequency (%)
389 1
2.2%
386 1
2.2%
210 1
2.2%
93 1
2.2%
92 1
2.2%
42 1
2.2%
38 1
2.2%
8 1
2.2%
1 2
4.3%

201912승용비사업용
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)89.5%
Missing8
Missing (%)17.4%
Infinite0
Infinite (%)0.0%
Mean1601.5526
Minimum1
Maximum10186
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:47:08.763190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q17.5
median125
Q32008.5
95-th percentile7807.7
Maximum10186
Range10185
Interquartile range (IQR)2001

Descriptive statistics

Standard deviation2705.6009
Coefficient of variation (CV)1.6893612
Kurtosis2.6600412
Mean1601.5526
Median Absolute Deviation (MAD)124
Skewness1.8858866
Sum60859
Variance7320276.1
MonotonicityNot monotonic
2023-12-12T17:47:08.954448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1 4
 
8.7%
3 2
 
4.3%
45 1
 
2.2%
22 1
 
2.2%
2 1
 
2.2%
437 1
 
2.2%
4557 1
 
2.2%
7718 1
 
2.2%
9 1
 
2.2%
6049 1
 
2.2%
Other values (24) 24
52.2%
(Missing) 8
 
17.4%
ValueCountFrequency (%)
1 4
8.7%
2 1
 
2.2%
3 2
4.3%
5 1
 
2.2%
6 1
 
2.2%
7 1
 
2.2%
9 1
 
2.2%
11 1
 
2.2%
12 1
 
2.2%
15 1
 
2.2%
ValueCountFrequency (%)
10186 1
2.2%
8316 1
2.2%
7718 1
2.2%
6297 1
2.2%
6049 1
2.2%
4557 1
2.2%
3861 1
2.2%
2906 1
2.2%
2161 1
2.2%
2104 1
2.2%

201912승용사업용
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)75.0%
Missing30
Missing (%)65.2%
Infinite0
Infinite (%)0.0%
Mean155.1875
Minimum1
Maximum815
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:47:09.083067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median10
Q347.75
95-th percentile807.5
Maximum815
Range814
Interquartile range (IQR)45.75

Descriptive statistics

Standard deviation306.19084
Coefficient of variation (CV)1.973038
Kurtosis1.4381803
Mean155.1875
Median Absolute Deviation (MAD)8
Skewness1.7900271
Sum2483
Variance93752.829
MonotonicityNot monotonic
2023-12-12T17:47:09.260945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 3
 
6.5%
10 2
 
4.3%
1 2
 
4.3%
16 1
 
2.2%
805 1
 
2.2%
45 1
 
2.2%
18 1
 
2.2%
688 1
 
2.2%
7 1
 
2.2%
5 1
 
2.2%
Other values (2) 2
 
4.3%
(Missing) 30
65.2%
ValueCountFrequency (%)
1 2
4.3%
2 3
6.5%
5 1
 
2.2%
7 1
 
2.2%
10 2
4.3%
16 1
 
2.2%
18 1
 
2.2%
45 1
 
2.2%
56 1
 
2.2%
688 1
 
2.2%
ValueCountFrequency (%)
815 1
2.2%
805 1
2.2%
688 1
2.2%
56 1
2.2%
45 1
2.2%
18 1
2.2%
16 1
2.2%
10 2
4.3%
7 1
2.2%
5 1
2.2%

201912승합비사업용
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)75.0%
Missing26
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean152.3
Minimum1
Maximum998
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:47:09.440715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6.5
Q3176.25
95-th percentile886.85
Maximum998
Range997
Interquartile range (IQR)173.25

Descriptive statistics

Standard deviation289.96535
Coefficient of variation (CV)1.9039091
Kurtosis4.6676383
Mean152.3
Median Absolute Deviation (MAD)5.5
Skewness2.3159549
Sum3046
Variance84079.905
MonotonicityNot monotonic
2023-12-12T17:47:09.567048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
3 3
 
6.5%
1 3
 
6.5%
5 2
 
4.3%
998 1
 
2.2%
8 1
 
2.2%
228 1
 
2.2%
6 1
 
2.2%
396 1
 
2.2%
95 1
 
2.2%
4 1
 
2.2%
Other values (5) 5
 
10.9%
(Missing) 26
56.5%
ValueCountFrequency (%)
1 3
6.5%
3 3
6.5%
4 1
 
2.2%
5 2
4.3%
6 1
 
2.2%
7 1
 
2.2%
8 1
 
2.2%
28 1
 
2.2%
95 1
 
2.2%
166 1
 
2.2%
ValueCountFrequency (%)
998 1
2.2%
881 1
2.2%
396 1
2.2%
228 1
2.2%
207 1
2.2%
166 1
2.2%
95 1
2.2%
28 1
2.2%
8 1
2.2%
7 1
2.2%

201912승합사업용
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing38
Missing (%)82.6%
Infinite0
Infinite (%)0.0%
Mean90.25
Minimum3
Maximum285
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:47:09.699615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4.75
Q19.5
median16.5
Q3168.75
95-th percentile268.2
Maximum285
Range282
Interquartile range (IQR)159.25

Descriptive statistics

Standard deviation116.04894
Coefficient of variation (CV)1.2858609
Kurtosis-0.89911942
Mean90.25
Median Absolute Deviation (MAD)11
Skewness0.99685991
Sum722
Variance13467.357
MonotonicityNot monotonic
2023-12-12T17:47:09.828942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
8 1
 
2.2%
10 1
 
2.2%
237 1
 
2.2%
18 1
 
2.2%
3 1
 
2.2%
285 1
 
2.2%
15 1
 
2.2%
146 1
 
2.2%
(Missing) 38
82.6%
ValueCountFrequency (%)
3 1
2.2%
8 1
2.2%
10 1
2.2%
15 1
2.2%
18 1
2.2%
146 1
2.2%
237 1
2.2%
285 1
2.2%
ValueCountFrequency (%)
285 1
2.2%
237 1
2.2%
146 1
2.2%
18 1
2.2%
15 1
2.2%
10 1
2.2%
8 1
2.2%
3 1
2.2%

201912특수비사업용
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
40 
1
 
3
16
 
1
18
 
1
19
 
1

Length

Max length4
Median length4
Mean length3.673913
Min length1

Unique

Unique3 ?
Unique (%)6.5%

Sample

1st row<NA>
2nd row16
3rd row1
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 40
87.0%
1 3
 
6.5%
16 1
 
2.2%
18 1
 
2.2%
19 1
 
2.2%

Length

2023-12-12T17:47:10.001616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:47:10.141400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
87.0%
1 3
 
6.5%
16 1
 
2.2%
18 1
 
2.2%
19 1
 
2.2%

201912특수사업용
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
30
 
1
24
 
1
43
 
1
7
 
1

Length

Max length4
Median length4
Mean length3.8043478
Min length1

Unique

Unique4 ?
Unique (%)8.7%

Sample

1st row<NA>
2nd row30
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 42
91.3%
30 1
 
2.2%
24 1
 
2.2%
43 1
 
2.2%
7 1
 
2.2%

Length

2023-12-12T17:47:10.282912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:47:10.405549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
30 1
 
2.2%
24 1
 
2.2%
43 1
 
2.2%
7 1
 
2.2%

201912화물비사업용
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)85.0%
Missing26
Missing (%)56.5%
Infinite0
Infinite (%)0.0%
Mean391.45
Minimum1
Maximum2724
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:47:10.519420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median15
Q3256
95-th percentile2676.5
Maximum2724
Range2723
Interquartile range (IQR)252

Descriptive statistics

Standard deviation844.11501
Coefficient of variation (CV)2.1563802
Kurtosis4.6892087
Mean391.45
Median Absolute Deviation (MAD)13.5
Skewness2.4006298
Sum7829
Variance712530.16
MonotonicityNot monotonic
2023-12-12T17:47:10.681591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
4 2
 
4.3%
1 2
 
4.3%
256 2
 
4.3%
14 1
 
2.2%
3 1
 
2.2%
1338 1
 
2.2%
13 1
 
2.2%
177 1
 
2.2%
34 1
 
2.2%
2 1
 
2.2%
Other values (7) 7
 
15.2%
(Missing) 26
56.5%
ValueCountFrequency (%)
1 2
4.3%
2 1
2.2%
3 1
2.2%
4 2
4.3%
5 1
2.2%
8 1
2.2%
13 1
2.2%
14 1
2.2%
16 1
2.2%
21 1
2.2%
ValueCountFrequency (%)
2724 1
2.2%
2674 1
2.2%
1338 1
2.2%
278 1
2.2%
256 2
4.3%
177 1
2.2%
34 1
2.2%
21 1
2.2%
16 1
2.2%
14 1
2.2%

201912화물사업용
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)81.8%
Missing35
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean115
Minimum1
Maximum402
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T17:47:10.836452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14.5
median41
Q3146.5
95-th percentile400.5
Maximum402
Range401
Interquartile range (IQR)142

Descriptive statistics

Standard deviation153.30753
Coefficient of variation (CV)1.333109
Kurtosis0.50094105
Mean115
Median Absolute Deviation (MAD)40
Skewness1.3790236
Sum1265
Variance23503.2
MonotonicityNot monotonic
2023-12-12T17:47:10.981240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 3
 
6.5%
402 1
 
2.2%
88 1
 
2.2%
205 1
 
2.2%
36 1
 
2.2%
399 1
 
2.2%
83 1
 
2.2%
41 1
 
2.2%
8 1
 
2.2%
(Missing) 35
76.1%
ValueCountFrequency (%)
1 3
6.5%
8 1
 
2.2%
36 1
 
2.2%
41 1
 
2.2%
83 1
 
2.2%
88 1
 
2.2%
205 1
 
2.2%
399 1
 
2.2%
402 1
 
2.2%
ValueCountFrequency (%)
402 1
 
2.2%
399 1
 
2.2%
205 1
 
2.2%
88 1
 
2.2%
83 1
 
2.2%
41 1
 
2.2%
36 1
 
2.2%
8 1
 
2.2%
1 3
6.5%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
2020-09-10
46 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-09-10
2nd row2020-09-10
3rd row2020-09-10
4th row2020-09-10
5th row2020-09-10

Common Values

ValueCountFrequency (%)
2020-09-10 46
100.0%

Length

2023-12-12T17:47:11.122499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:47:11.228214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-09-10 46
100.0%

Sample

사용본거지법정동명연료200912승용비사업용200912승용사업용200912승합비사업용200912승합사업용200912특수비사업용200912특수사업용200912화물비사업용200912화물사업용201012승용비사업용201012승용사업용201012승합비사업용201012승합사업용201012특수비사업용201012특수사업용201012화물비사업용201012화물사업용201112승용비사업용201112승용사업용201112승합비사업용201112승합사업용201112특수비사업용201112특수사업용201112화물비사업용201112화물사업용201212승용비사업용201212승용사업용201212승합비사업용201212승합사업용201212특수비사업용201212특수사업용201212화물비사업용201212화물사업용201312승용비사업용201312승용사업용201312승합비사업용201312승합사업용201312특수비사업용201312특수사업용201312화물비사업용201312화물사업용201412승용비사업용201412승용사업용201412승합비사업용201412승합사업용201412특수비사업용201412특수사업용201412화물비사업용201412화물사업용201512승용비사업용201512승용사업용201512승합비사업용201512승합사업용201512특수비사업용201512특수사업용201512화물비사업용201512화물사업용201612승용비사업용201612승용사업용201612승합비사업용201612승합사업용201612특수비사업용201612특수사업용201612화물비사업용201612화물사업용201712승용비사업용201712승용사업용201712승합비사업용201712승합사업용201712특수비사업용201712특수사업용201712화물비사업용201712화물사업용201812승용비사업용201812승용사업용201812승합비사업용201812승합사업용201812특수비사업용201812특수사업용201812화물비사업용201812화물사업용201912승용비사업용201912승용사업용201912승합비사업용201912승합사업용201912특수비사업용201912특수사업용201912화물비사업용201912화물사업용기준일자
0서울특별시 강북구 미아동CNG1<NA><NA>2<NA><NA><NA><NA><NA><NA><NA>2<NA><NA><NA><NA>32<NA>7<NA><NA><NA><NA>22<NA>8<NA><NA><NA><NA>42<NA>8<NA><NA><NA>152<NA>8<NA><NA><NA>151<NA>8<NA><NA><NA>13<NA><NA>8<NA><NA><NA>13<NA><NA>8<NA><NA><NA>15<NA><NA>8<NA><NA><NA>15<NA><NA>8<NA><NA><NA>12020-09-10
1서울특별시 강북구 미아동경유4848<NA>11711584272447753085117416982702469566311153910122689488603151164166172682501641981211169292702550689231168141233271837175219116730153027703698127151134321323273435785208112725153227703518484151065251235273038683161699810163026744022020-09-10
2서울특별시 강북구 미아동기타연료<NA><NA><NA><NA><NA><NA>3<NA>1<NA><NA><NA><NA><NA>3<NA>1<NA>1<NA><NA><NA>311<NA>1<NA><NA><NA>511<NA>1<NA>1<NA>711<NA>4<NA>1<NA>1111<NA>4<NA>1<NA>20<NA>1<NA>4<NA><NA><NA>18<NA>1<NA>4<NA><NA><NA>26<NA>1<NA>7<NA><NA><NA>2811<NA>8<NA>1<NA>3412020-09-10
3서울특별시 강북구 미아동수소<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA>2020-09-10
4서울특별시 강북구 미아동등유1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020-09-10
5서울특별시 강북구 미아동엘피지28667471018<NA><NA><NA>7772603025822980<NA>1<NA>7702493025751863<NA><NA><NA>7002513018812748<NA><NA><NA>6182432872744601<NA><NA><NA>5362612670832521<NA><NA><NA>47014225771014439<NA><NA><NA>4221352407985363<NA><NA><NA>3771132300943300<NA><NA><NA>3451082182902269<NA><NA><NA>297922104805228<NA><NA><NA>256882020-09-10
6서울특별시 강북구 미아동전기<NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA><NA>71<NA><NA><NA><NA><NA><NA>92<NA><NA><NA><NA><NA><NA>152<NA><NA><NA><NA><NA><NA>391<NA><NA><NA><NA><NA><NA>5610<NA><NA><NA><NA><NA><NA>2020-09-10
7서울특별시 강북구 미아동하이브리드(LPG+전기)7<NA><NA><NA><NA><NA><NA><NA>17<NA><NA><NA><NA><NA><NA><NA>14<NA><NA><NA><NA><NA><NA><NA>13<NA><NA><NA><NA><NA><NA><NA>15<NA><NA><NA><NA><NA><NA><NA>18<NA><NA><NA><NA><NA><NA><NA>25<NA><NA><NA><NA><NA><NA><NA>24<NA><NA><NA><NA><NA><NA><NA>20<NA><NA><NA><NA><NA><NA><NA>19<NA><NA><NA><NA><NA><NA><NA>17<NA><NA><NA><NA><NA><NA><NA>2020-09-10
8서울특별시 강북구 미아동하이브리드(경유+전기)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020-09-10
9서울특별시 강북구 미아동하이브리드(휘발유+전기)11<NA><NA><NA><NA><NA><NA><NA>15<NA><NA><NA><NA><NA><NA><NA>38<NA><NA><NA><NA><NA><NA><NA>107<NA><NA><NA><NA><NA><NA><NA>1202<NA><NA><NA><NA><NA><NA>162<NA><NA><NA><NA><NA><NA><NA>221<NA><NA><NA><NA><NA><NA><NA>2962<NA><NA><NA><NA><NA><NA>4042<NA><NA><NA><NA><NA><NA>524<NA><NA><NA><NA><NA><NA><NA>683<NA><NA><NA><NA><NA><NA><NA>2020-09-10
사용본거지법정동명연료200912승용비사업용200912승용사업용200912승합비사업용200912승합사업용200912특수비사업용200912특수사업용200912화물비사업용200912화물사업용201012승용비사업용201012승용사업용201012승합비사업용201012승합사업용201012특수비사업용201012특수사업용201012화물비사업용201012화물사업용201112승용비사업용201112승용사업용201112승합비사업용201112승합사업용201112특수비사업용201112특수사업용201112화물비사업용201112화물사업용201212승용비사업용201212승용사업용201212승합비사업용201212승합사업용201212특수비사업용201212특수사업용201212화물비사업용201212화물사업용201312승용비사업용201312승용사업용201312승합비사업용201312승합사업용201312특수비사업용201312특수사업용201312화물비사업용201312화물사업용201412승용비사업용201412승용사업용201412승합비사업용201412승합사업용201412특수비사업용201412특수사업용201412화물비사업용201412화물사업용201512승용비사업용201512승용사업용201512승합비사업용201512승합사업용201512특수비사업용201512특수사업용201512화물비사업용201512화물사업용201612승용비사업용201612승용사업용201612승합비사업용201612승합사업용201612특수비사업용201612특수사업용201612화물비사업용201612화물사업용201712승용비사업용201712승용사업용201712승합비사업용201712승합사업용201712특수비사업용201712특수사업용201712화물비사업용201712화물사업용201812승용비사업용201812승용사업용201812승합비사업용201812승합사업용201812특수비사업용201812특수사업용201812화물비사업용201812화물사업용201912승용비사업용201912승용사업용201912승합비사업용201912승합사업용201912특수비사업용201912특수사업용201912화물비사업용201912화물사업용기준일자
36서울특별시 강북구 우이동경유505<NA>16530<NA><NA>28632507<NA>15823<NA><NA>27934505<NA>15823<NA>127732519<NA>17823<NA>128431560<NA>17413<NA>1257336001170<NA><NA>3268346631178<NA>2428337706<NA>173<NA>3726738738<NA>180<NA>4727838761<NA>175<NA>1627942687<NA>166<NA>17278412020-09-10
37서울특별시 강북구 우이동기타연료<NA><NA><NA><NA><NA><NA><NA><NA>1<NA>1<NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA><NA>3<NA><NA><NA><NA><NA><NA><NA>3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020-09-10
38서울특별시 강북구 우이동엘피지294150127<NA><NA><NA>731527964121<NA><NA><NA>68112786297<NA><NA><NA>6392795883<NA><NA><NA>6382765963<NA><NA><NA>5692465368<NA><NA><NA>4552546060<NA>1<NA>3762406449<NA><NA><NA>2752366344<NA><NA><NA>2452175930<NA><NA><NA>2582055628<NA><NA><NA>2182020-09-10
39서울특별시 강북구 우이동전기<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA>41<NA><NA><NA><NA><NA><NA>72<NA><NA><NA><NA><NA><NA>2020-09-10
40서울특별시 강북구 우이동하이브리드(LPG+전기)1<NA><NA><NA><NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA><NA>3<NA><NA><NA><NA><NA><NA><NA>3<NA><NA><NA><NA><NA><NA><NA>3<NA><NA><NA><NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA>3<NA><NA><NA><NA><NA><NA><NA>2020-09-10
41서울특별시 강북구 우이동하이브리드(경유+전기)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA>2020-09-10
42서울특별시 강북구 우이동하이브리드(휘발유+전기)1<NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA>4<NA><NA><NA><NA><NA><NA><NA>7<NA><NA><NA><NA><NA><NA><NA>10<NA><NA><NA><NA><NA><NA><NA>15<NA><NA><NA><NA><NA><NA><NA>191<NA><NA><NA><NA><NA><NA>311<NA><NA><NA><NA><NA><NA>47<NA><NA><NA><NA><NA><NA><NA>58<NA><NA><NA><NA><NA><NA><NA>60<NA><NA><NA><NA><NA><NA><NA>2020-09-10
43서울특별시 강북구 우이동휘발유512<NA>2<NA><NA><NA>2<NA>549<NA>2<NA><NA><NA>1<NA>562<NA>2<NA><NA><NA>1<NA>572<NA>1<NA><NA><NA>1<NA>543<NA>1<NA><NA><NA>1<NA>552<NA>1<NA><NA><NA>1<NA>594<NA>1<NA><NA><NA>1<NA>612<NA>1<NA><NA><NA>1<NA>614<NA>1<NA><NA><NA>1<NA>595<NA>1<NA><NA><NA>1<NA>573<NA>1<NA><NA><NA>1<NA>2020-09-10
44서울특별시 강북구 우이동휘발유(무연)1138<NA>3<NA><NA><NA>1<NA>1052<NA>1<NA><NA><NA>1<NA>1082<NA>1<NA><NA><NA>1<NA>1070<NA>1<NA><NA><NA><NA><NA>1044<NA>1<NA><NA><NA><NA><NA>984<NA>1<NA><NA><NA><NA><NA>951<NA>1<NA><NA><NA><NA><NA>959<NA>1<NA><NA><NA><NA><NA>921<NA><NA><NA><NA><NA><NA><NA>902<NA><NA><NA><NA><NA><NA><NA>89611<NA><NA><NA><NA><NA>2020-09-10
45서울특별시 강북구 우이동휘발유(유연)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2020-09-10