Overview

Dataset statistics

Number of variables20
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.2 KiB
Average record size in memory176.3 B

Variable types

Numeric12
Categorical8

Alerts

도로종류 has constant value ""Constant
측정일 has constant value ""Constant
측정시간 has constant value ""Constant
주소 is highly overall correlated with 기본키 and 6 other fieldsHigh correlation
지점 is highly overall correlated with 기본키 and 6 other fieldsHigh correlation
기본키 is highly overall correlated with 지점 and 2 other fieldsHigh correlation
장비이정(km) is highly overall correlated with 지점 and 2 other fieldsHigh correlation
차량통과수(대) is highly overall correlated with CO(g/km) and 4 other fieldsHigh correlation
평균 속도(km) is highly overall correlated with CO(g/km) and 3 other fieldsHigh correlation
위도(°) is highly overall correlated with 지점 and 2 other fieldsHigh correlation
경도(°) is highly overall correlated with 지점 and 2 other fieldsHigh correlation
기울기(°) is highly overall correlated with 지점 and 2 other fieldsHigh correlation
CO(g/km) is highly overall correlated with 차량통과수(대) and 6 other fieldsHigh correlation
NOX(g/km) is highly overall correlated with 차량통과수(대) and 6 other fieldsHigh correlation
HC(g/km) is highly overall correlated with 차량통과수(대) and 6 other fieldsHigh correlation
PM(g/km) is highly overall correlated with 차량통과수(대) and 6 other fieldsHigh correlation
CO2(g/km) is highly overall correlated with 차량통과수(대) and 4 other fieldsHigh correlation
방향 is highly overall correlated with 측정구간High correlation
차선 is highly overall correlated with CO(g/km) and 3 other fieldsHigh correlation
측정구간 is highly overall correlated with 기본키 and 7 other fieldsHigh correlation
기본키 has unique valuesUnique
PM(g/km) has 30 (30.0%) zerosZeros

Reproduction

Analysis started2023-12-10 10:43:32.415189
Analysis finished2023-12-10 10:43:58.856005
Duration26.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기본키
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.5
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:43:58.976604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.95
Q125.75
median50.5
Q375.25
95-th percentile95.05
Maximum100
Range99
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation29.011492
Coefficient of variation (CV)0.57448499
Kurtosis-1.2
Mean50.5
Median Absolute Deviation (MAD)25
Skewness0
Sum5050
Variance841.66667
MonotonicityStrictly increasing
2023-12-10T19:43:59.243294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
65 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%

도로종류
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
도로공사
100 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
도로공사 100
100.0%

Length

2023-12-10T19:43:59.488086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:43:59.641148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도로공사 100
100.0%

지점
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
A-0010-1612E-8
A-0010-1688E-8
A-0010-1441E-8
A-0010-0728S-6
 
6
A-0120-1726E-6
 
6
Other values (16)
64 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA-0550-1107S-4
2nd rowA-0550-1107S-4
3rd rowA-0550-1107S-4
4th rowA-0550-1107S-4
5th rowA-0120-0957E-4

Common Values

ValueCountFrequency (%)
A-0010-1612E-8 8
 
8.0%
A-0010-1688E-8 8
 
8.0%
A-0010-1441E-8 8
 
8.0%
A-0010-0728S-6 6
 
6.0%
A-0120-1726E-6 6
 
6.0%
A-0200-0364S-6 6
 
6.0%
A-0010-1185E-8 5
 
5.0%
A-0550-1107S-4 4
 
4.0%
A-0200-0116S-4 4
 
4.0%
A-0120-1129E-4 4
 
4.0%
Other values (11) 41
41.0%

Length

2023-12-10T19:43:59.800473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
a-0010-1612e-8 8
 
8.0%
a-0010-1441e-8 8
 
8.0%
a-0010-1688e-8 8
 
8.0%
a-0010-0728s-6 6
 
6.0%
a-0120-1726e-6 6
 
6.0%
a-0200-0364s-6 6
 
6.0%
a-0010-1185e-8 5
 
5.0%
a-0300-1450s-4 4
 
4.0%
a-0300-1002s-4 4
 
4.0%
a-0300-1910e-4 4
 
4.0%
Other values (11) 41
41.0%

방향
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
S
51 
E
49 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS
2nd rowS
3rd rowE
4th rowE
5th rowS

Common Values

ValueCountFrequency (%)
S 51
51.0%
E 49
49.0%

Length

2023-12-10T19:44:00.003373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:44:00.165238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
s 51
51.0%
e 49
49.0%

차선
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
40 
2
39 
3
14 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 40
40.0%
2 39
39.0%
3 14
 
14.0%
4 7
 
7.0%

Length

2023-12-10T19:44:00.323086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:44:00.479291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 40
40.0%
2 39
39.0%
3 14
 
14.0%
4 7
 
7.0%

측정구간
Categorical

HIGH CORRELATION 

Distinct40
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
금호JC-칠곡물류IC
 
4
왜관IC-남구미IC
 
4
남구미IC-왜관IC
 
4
남구미IC-구미IC
 
4
구미IC-남구미IC
 
4
Other values (35)
80 

Length

Max length12
Median length11.5
Mean length10.02
Min length9

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row칠곡IC-금호JC
2nd row칠곡IC-금호JC
3rd row금호JC-칠곡IC
4th row금호JC-칠곡IC
5th row함양JC-함양IC

Common Values

ValueCountFrequency (%)
금호JC-칠곡물류IC 4
 
4.0%
왜관IC-남구미IC 4
 
4.0%
남구미IC-왜관IC 4
 
4.0%
남구미IC-구미IC 4
 
4.0%
구미IC-남구미IC 4
 
4.0%
칠곡물류IC-금호JC 4
 
4.0%
동대구JC-경산IC 4
 
4.0%
옥포JC-고령JC 3
 
3.0%
경주IC-건천IC 3
 
3.0%
동고령IC-고령JC 3
 
3.0%
Other values (30) 63
63.0%

Length

2023-12-10T19:44:00.687529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
금호jc-칠곡물류ic 4
 
4.0%
남구미ic-왜관ic 4
 
4.0%
남구미ic-구미ic 4
 
4.0%
구미ic-남구미ic 4
 
4.0%
칠곡물류ic-금호jc 4
 
4.0%
동대구jc-경산ic 4
 
4.0%
왜관ic-남구미ic 4
 
4.0%
건천ic-경주ic 3
 
3.0%
북영천ic-임고hi 3
 
3.0%
고령jc-옥포jc 3
 
3.0%
Other values (30) 63
63.0%

장비이정(km)
Real number (ℝ)

HIGH CORRELATION 

Distinct21
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.4323
Minimum11.6
Maximum191
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:44:00.880416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.6
5-th percentile36.47
Q195.71
median132.58
Q3162.3325
95-th percentile172.63
Maximum191
Range179.4
Interquartile range (IQR)66.6225

Descriptive statistics

Standard deviation46.298893
Coefficient of variation (CV)0.37509544
Kurtosis-0.17467907
Mean123.4323
Median Absolute Deviation (MAD)33.09
Skewness-0.74672492
Sum12343.23
Variance2143.5875
MonotonicityNot monotonic
2023-12-10T19:44:01.070244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
161.22 8
 
8.0%
144.11 8
 
8.0%
168.89 8
 
8.0%
36.47 6
 
6.0%
72.8 6
 
6.0%
172.63 6
 
6.0%
118.5 5
 
5.0%
100.2 4
 
4.0%
191.0 4
 
4.0%
172.3 4
 
4.0%
Other values (11) 41
41.0%
ValueCountFrequency (%)
11.6 4
4.0%
36.47 6
6.0%
70.35 4
4.0%
72.8 6
6.0%
91.4 2
 
2.0%
95.71 4
4.0%
100.2 4
4.0%
110.7 4
4.0%
112.98 4
4.0%
118.5 5
5.0%
ValueCountFrequency (%)
191.0 4
4.0%
172.63 6
6.0%
172.3 4
4.0%
168.89 8
8.0%
165.67 3
 
3.0%
161.22 8
8.0%
145.0 4
4.0%
144.11 8
8.0%
133.22 4
4.0%
132.58 4
4.0%

측정일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
20200301
100 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20200301
2nd row20200301
3rd row20200301
4th row20200301
5th row20200301

Common Values

ValueCountFrequency (%)
20200301 100
100.0%

Length

2023-12-10T19:44:01.275118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:44:01.430793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20200301 100
100.0%

측정시간
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T19:44:01.596028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:44:01.742392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

차량통과수(대)
Real number (ℝ)

HIGH CORRELATION 

Distinct60
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.4
Minimum0
Maximum128
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:44:01.913530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q112.75
median25
Q352.5
95-th percentile94.3
Maximum128
Range128
Interquartile range (IQR)39.75

Descriptive statistics

Standard deviation30.07667
Coefficient of variation (CV)0.84962344
Kurtosis0.81229434
Mean35.4
Median Absolute Deviation (MAD)17
Skewness1.1915111
Sum3540
Variance904.60606
MonotonicityNot monotonic
2023-12-10T19:44:02.166645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 5
 
5.0%
20 4
 
4.0%
12 4
 
4.0%
13 4
 
4.0%
42 3
 
3.0%
11 3
 
3.0%
4 3
 
3.0%
56 3
 
3.0%
8 3
 
3.0%
14 3
 
3.0%
Other values (50) 65
65.0%
ValueCountFrequency (%)
0 1
 
1.0%
2 2
 
2.0%
3 1
 
1.0%
4 3
3.0%
5 1
 
1.0%
6 5
5.0%
8 3
3.0%
9 1
 
1.0%
10 1
 
1.0%
11 3
3.0%
ValueCountFrequency (%)
128 1
1.0%
119 1
1.0%
115 1
1.0%
112 1
1.0%
100 1
1.0%
94 2
2.0%
90 1
1.0%
89 1
1.0%
88 1
1.0%
84 1
1.0%

평균 속도(km)
Real number (ℝ)

HIGH CORRELATION 

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.3629
Minimum0
Maximum171.94
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:44:02.431703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile68.7085
Q189.4125
median100.245
Q3116.78
95-th percentile133.3765
Maximum171.94
Range171.94
Interquartile range (IQR)27.3675

Descriptive statistics

Standard deviation22.962499
Coefficient of variation (CV)0.22432443
Kurtosis4.7288357
Mean102.3629
Median Absolute Deviation (MAD)13.035
Skewness-0.9834657
Sum10236.29
Variance527.27637
MonotonicityNot monotonic
2023-12-10T19:44:02.668203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
120.5 2
 
2.0%
114.5 1
 
1.0%
130.6 1
 
1.0%
98.17 1
 
1.0%
129.5 1
 
1.0%
89.44 1
 
1.0%
79.06 1
 
1.0%
113.6 1
 
1.0%
99.33 1
 
1.0%
119.46 1
 
1.0%
Other values (89) 89
89.0%
ValueCountFrequency (%)
0.0 1
1.0%
20.0 1
1.0%
62.77 1
1.0%
63.62 1
1.0%
64.12 1
1.0%
68.95 1
1.0%
79.06 1
1.0%
79.86 1
1.0%
82.74 1
1.0%
82.75 1
1.0%
ValueCountFrequency (%)
171.94 1
1.0%
139.2 1
1.0%
138.5 1
1.0%
137.25 1
1.0%
133.5 1
1.0%
133.37 1
1.0%
131.8 1
1.0%
130.6 1
1.0%
130.5 1
1.0%
129.88 1
1.0%

위도(°)
Real number (ℝ)

HIGH CORRELATION 

Distinct21
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.0483
Minimum35.532156
Maximum36.928333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:44:02.859826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.532156
5-th percentile35.621053
Q135.818274
median36.0365
Q336.381222
95-th percentile36.466241
Maximum36.928333
Range1.3961773
Interquartile range (IQR)0.56294797

Descriptive statistics

Standard deviation0.31624066
Coefficient of variation (CV)0.0087726926
Kurtosis0.54285163
Mean36.0483
Median Absolute Deviation (MAD)0.218226
Skewness0.82084076
Sum3604.83
Variance0.10000815
MonotonicityNot monotonic
2023-12-10T19:44:03.006902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
36.0365 8
 
8.0%
35.913806 8
 
8.0%
36.07555556 8
 
8.0%
36.05805556 6
 
6.0%
35.818274 6
 
6.0%
35.78527778 6
 
6.0%
35.90473241 5
 
5.0%
36.409391 4
 
4.0%
36.38122197 4
 
4.0%
36.466241 4
 
4.0%
Other values (11) 41
41.0%
ValueCountFrequency (%)
35.532156 4
4.0%
35.621053 4
4.0%
35.707368 4
4.0%
35.75616248 3
 
3.0%
35.78527778 6
6.0%
35.818274 6
6.0%
35.82583333 4
4.0%
35.90473241 5
5.0%
35.913806 8
8.0%
35.95416667 4
4.0%
ValueCountFrequency (%)
36.92833333 4
4.0%
36.466241 4
4.0%
36.43761 4
4.0%
36.423098 4
4.0%
36.409391 4
4.0%
36.38549848 2
 
2.0%
36.38122197 4
4.0%
36.08611111 4
4.0%
36.07555556 8
8.0%
36.05805556 6
6.0%

경도(°)
Real number (ℝ)

HIGH CORRELATION 

Distinct21
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.56312
Minimum127.75714
Maximum129.36221
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:44:03.141984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.75714
5-th percentile127.89019
Q1128.3625
median128.48863
Q3128.76778
95-th percentile129.20123
Maximum129.36221
Range1.6050703
Interquartile range (IQR)0.4052778

Descriptive statistics

Standard deviation0.38412084
Coefficient of variation (CV)0.0029877995
Kurtosis-0.091494216
Mean128.56312
Median Absolute Deviation (MAD)0.1263847
Skewness0.16555005
Sum12856.312
Variance0.14754882
MonotonicityNot monotonic
2023-12-10T19:44:03.400939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
128.4138333 8
 
8.0%
128.488629 8
 
8.0%
128.3625 8
 
8.0%
129.0011111 6
 
6.0%
129.140095 6
 
6.0%
128.4580556 6
 
6.0%
128.5614716 5
 
5.0%
128.454677 4
 
4.0%
129.3622143 4
 
4.0%
129.201228 4
 
4.0%
Other values (11) 41
41.0%
ValueCountFrequency (%)
127.757144 4
4.0%
127.89019 4
4.0%
128.044625 4
4.0%
128.3469444 4
4.0%
128.3619886 2
 
2.0%
128.3625 8
8.0%
128.36667590000002 3
 
3.0%
128.4138333 8
8.0%
128.454677 4
4.0%
128.4580556 6
6.0%
ValueCountFrequency (%)
129.3622143 4
4.0%
129.201228 4
4.0%
129.140095 6
6.0%
129.0011111 6
6.0%
128.925734 4
4.0%
128.7677778 4
4.0%
128.673649 4
4.0%
128.5614716 5
5.0%
128.535 4
4.0%
128.5322222 4
4.0%

기울기(°)
Real number (ℝ)

HIGH CORRELATION 

Distinct39
Distinct (%)39.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0813
Minimum-3.43
Maximum4.74
Zeros0
Zeros (%)0.0%
Negative52
Negative (%)52.0%
Memory size1.0 KiB
2023-12-10T19:44:03.610816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3.43
5-th percentile-2.89
Q1-0.9975
median-0.13
Q31.59
95-th percentile3.02
Maximum4.74
Range8.17
Interquartile range (IQR)2.5875

Descriptive statistics

Standard deviation1.8755151
Coefficient of variation (CV)23.069066
Kurtosis-0.44269566
Mean0.0813
Median Absolute Deviation (MAD)1.25
Skewness0.1658115
Sum8.13
Variance3.5175569
MonotonicityNot monotonic
2023-12-10T19:44:04.114378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0.54 5
 
5.0%
-1.38 4
 
4.0%
-0.13 4
 
4.0%
-0.87 4
 
4.0%
0.9 4
 
4.0%
1.59 4
 
4.0%
-0.49 4
 
4.0%
0.55 4
 
4.0%
-0.66 3
 
3.0%
0.62 3
 
3.0%
Other values (29) 61
61.0%
ValueCountFrequency (%)
-3.43 2
2.0%
-3.3 2
2.0%
-2.89 2
2.0%
-2.64 3
3.0%
-2.54 2
2.0%
-2.39 2
2.0%
-2.34 2
2.0%
-1.9 2
2.0%
-1.79 2
2.0%
-1.78 2
2.0%
ValueCountFrequency (%)
4.74 2
2.0%
3.43 2
2.0%
3.02 2
2.0%
2.93 2
2.0%
2.63 2
2.0%
2.54 2
2.0%
2.41 2
2.0%
2.27 3
3.0%
1.79 2
2.0%
1.77 2
2.0%

CO(g/km)
Real number (ℝ)

HIGH CORRELATION 

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.4094
Minimum0
Maximum63.8
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:44:04.372504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.8035
Q13.3
median10.895
Q321.6925
95-th percentile48.969
Maximum63.8
Range63.8
Interquartile range (IQR)18.3925

Descriptive statistics

Standard deviation15.545992
Coefficient of variation (CV)1.0088642
Kurtosis1.0806035
Mean15.4094
Median Absolute Deviation (MAD)8.12
Skewness1.3116298
Sum1540.94
Variance241.67787
MonotonicityNot monotonic
2023-12-10T19:44:04.677626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.06 2
 
2.0%
0.49 2
 
2.0%
12.13 1
 
1.0%
1.28 1
 
1.0%
21.64 1
 
1.0%
2.04 1
 
1.0%
28.56 1
 
1.0%
6.01 1
 
1.0%
6.7 1
 
1.0%
0.43 1
 
1.0%
Other values (88) 88
88.0%
ValueCountFrequency (%)
0.0 1
1.0%
0.16 1
1.0%
0.43 1
1.0%
0.49 2
2.0%
0.82 1
1.0%
0.93 1
1.0%
0.98 1
1.0%
1.11 1
1.0%
1.28 1
1.0%
1.3 1
1.0%
ValueCountFrequency (%)
63.8 1
1.0%
58.23 1
1.0%
57.49 1
1.0%
55.31 1
1.0%
49.71 1
1.0%
48.93 1
1.0%
48.54 1
1.0%
48.47 1
1.0%
44.91 1
1.0%
41.22 1
1.0%

NOX(g/km)
Real number (ℝ)

HIGH CORRELATION 

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.0726
Minimum0
Maximum201.24
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:44:04.945397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6095
Q12.6575
median12.56
Q328.5525
95-th percentile125.2225
Maximum201.24
Range201.24
Interquartile range (IQR)25.895

Descriptive statistics

Standard deviation37.600346
Coefficient of variation (CV)1.4996588
Kurtosis7.2106593
Mean25.0726
Median Absolute Deviation (MAD)10.775
Skewness2.6173004
Sum2507.26
Variance1413.786
MonotonicityNot monotonic
2023-12-10T19:44:05.208658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.41 2
 
2.0%
11.36 1
 
1.0%
0.81 1
 
1.0%
21.63 1
 
1.0%
1.93 1
 
1.0%
31.93 1
 
1.0%
6.94 1
 
1.0%
19.21 1
 
1.0%
0.3 1
 
1.0%
3.87 1
 
1.0%
Other values (89) 89
89.0%
ValueCountFrequency (%)
0.0 1
1.0%
0.17 1
1.0%
0.3 1
1.0%
0.41 2
2.0%
0.62 1
1.0%
0.74 1
1.0%
0.8 1
1.0%
0.81 1
1.0%
0.92 1
1.0%
1.1 1
1.0%
ValueCountFrequency (%)
201.24 1
1.0%
161.84 1
1.0%
139.73 1
1.0%
132.21 1
1.0%
129.45 1
1.0%
125.0 1
1.0%
95.96 1
1.0%
95.84 1
1.0%
81.46 1
1.0%
77.46 1
1.0%

HC(g/km)
Real number (ℝ)

HIGH CORRELATION 

Distinct86
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7243
Minimum0
Maximum17.64
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:44:05.455758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.049
Q10.22
median1.165
Q33.3325
95-th percentile12.932
Maximum17.64
Range17.64
Interquartile range (IQR)3.1125

Descriptive statistics

Standard deviation3.9848088
Coefficient of variation (CV)1.4626909
Kurtosis4.9599648
Mean2.7243
Median Absolute Deviation (MAD)1.05
Skewness2.2877038
Sum272.43
Variance15.878702
MonotonicityNot monotonic
2023-12-10T19:44:05.712807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.22 3
 
3.0%
0.12 3
 
3.0%
0.03 3
 
3.0%
1.08 2
 
2.0%
0.1 2
 
2.0%
0.69 2
 
2.0%
0.17 2
 
2.0%
0.18 2
 
2.0%
1.29 2
 
2.0%
2.61 2
 
2.0%
Other values (76) 77
77.0%
ValueCountFrequency (%)
0.0 1
 
1.0%
0.01 1
 
1.0%
0.03 3
3.0%
0.05 1
 
1.0%
0.06 2
2.0%
0.09 1
 
1.0%
0.1 2
2.0%
0.11 1
 
1.0%
0.12 3
3.0%
0.13 1
 
1.0%
ValueCountFrequency (%)
17.64 1
1.0%
17.22 1
1.0%
16.65 1
1.0%
14.41 1
1.0%
13.92 1
1.0%
12.88 1
1.0%
10.37 1
1.0%
10.26 1
1.0%
9.6 1
1.0%
8.42 1
1.0%

PM(g/km)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct61
Distinct (%)61.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4181
Minimum0
Maximum12.06
Zeros30
Zeros (%)30.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:44:05.965636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.435
Q31.55
95-th percentile7.9615
Maximum12.06
Range12.06
Interquartile range (IQR)1.55

Descriptive statistics

Standard deviation2.3833288
Coefficient of variation (CV)1.6806493
Kurtosis6.6687917
Mean1.4181
Median Absolute Deviation (MAD)0.435
Skewness2.5917622
Sum141.81
Variance5.6802559
MonotonicityNot monotonic
2023-12-10T19:44:06.216554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 30
30.0%
0.12 4
 
4.0%
0.38 3
 
3.0%
1.14 2
 
2.0%
1.19 2
 
2.0%
1.55 2
 
2.0%
0.1 2
 
2.0%
0.32 2
 
2.0%
1.22 1
 
1.0%
0.17 1
 
1.0%
Other values (51) 51
51.0%
ValueCountFrequency (%)
0.0 30
30.0%
0.1 2
 
2.0%
0.12 4
 
4.0%
0.13 1
 
1.0%
0.17 1
 
1.0%
0.21 1
 
1.0%
0.22 1
 
1.0%
0.32 2
 
2.0%
0.33 1
 
1.0%
0.37 1
 
1.0%
ValueCountFrequency (%)
12.06 1
1.0%
10.26 1
1.0%
8.65 1
1.0%
8.24 1
1.0%
7.99 1
1.0%
7.96 1
1.0%
6.37 1
1.0%
6.36 1
1.0%
5.39 1
1.0%
5.02 1
1.0%

CO2(g/km)
Real number (ℝ)

HIGH CORRELATION 

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4915.6795
Minimum0
Maximum18661.92
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:44:06.450597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile286.8615
Q11411.5175
median3050.05
Q37136.7325
95-th percentile14456.038
Maximum18661.92
Range18661.92
Interquartile range (IQR)5725.215

Descriptive statistics

Standard deviation4553.1254
Coefficient of variation (CV)0.92624537
Kurtosis0.56145551
Mean4915.6795
Median Absolute Deviation (MAD)2323.575
Skewness1.1612948
Sum491567.95
Variance20730951
MonotonicityNot monotonic
2023-12-10T19:44:06.697461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
273.97 2
 
2.0%
5332.47 1
 
1.0%
287.54 1
 
1.0%
7327.94 1
 
1.0%
1071.69 1
 
1.0%
8413.48 1
 
1.0%
2373.28 1
 
1.0%
2870.46 1
 
1.0%
180.98 1
 
1.0%
1720.41 1
 
1.0%
Other values (89) 89
89.0%
ValueCountFrequency (%)
0.0 1
1.0%
135.31 1
1.0%
180.98 1
1.0%
273.97 2
2.0%
287.54 1
1.0%
393.63 1
1.0%
441.48 1
1.0%
472.36 1
1.0%
612.09 1
1.0%
616.43 1
1.0%
ValueCountFrequency (%)
18661.92 1
1.0%
17235.11 1
1.0%
16942.3 1
1.0%
15331.62 1
1.0%
14670.33 1
1.0%
14444.76 1
1.0%
14261.2 1
1.0%
12331.24 1
1.0%
12298.45 1
1.0%
12048.21 1
1.0%

주소
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
경북 칠곡군 석적읍 포남리
경북 구미시 임오동
경북 칠곡군 지천면
경북 경주시 건천읍 모량리
 
6
경북 달성군 옥포면 강림리
 
6
Other values (16)
64 

Length

Max length15
Median length14.5
Mean length11.86
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구 북구 금호동
2nd row대구 북구 금호동
3rd row대구 북구 금호동
4th row대구 북구 금호동
5th row경남 함양군 함양읍 신관리

Common Values

ValueCountFrequency (%)
경북 칠곡군 석적읍 포남리 8
 
8.0%
경북 구미시 임오동 8
 
8.0%
경북 칠곡군 지천면 8
 
8.0%
경북 경주시 건천읍 모량리 6
 
6.0%
경북 달성군 옥포면 강림리 6
 
6.0%
경북 영천시 임고면 삼매2리 6
 
6.0%
대구 동구 안심3동 5
 
5.0%
대구 북구 금호동 4
 
4.0%
경북 경산시 와촌면 강학리 4
 
4.0%
경남 거창군 남상면 오계리 4
 
4.0%
Other values (11) 41
41.0%

Length

2023-12-10T19:44:06.935089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경북 79
22.8%
칠곡군 20
 
5.8%
경남 12
 
3.5%
의성군 10
 
2.9%
대구 9
 
2.6%
포남리 8
 
2.3%
영덕군 8
 
2.3%
구미시 8
 
2.3%
석적읍 8
 
2.3%
거창군 8
 
2.3%
Other values (38) 176
50.9%

Interactions

2023-12-10T19:43:56.036079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:43:34.146921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:43:36.062514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:43:37.879325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:43:39.981205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:43:42.002940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/