Overview

Dataset statistics

Number of variables34
Number of observations31
Missing cells165
Missing cells (%)15.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.4 KiB
Average record size in memory310.3 B

Variable types

Numeric31
Categorical3

Dataset

Description국내 석유제품의 제품별 수입량(휘발유, 경유, 등유, 벙커C, 납사, 항공유, LPG, 아스팔트, 윤활유) 단위 : 물량(천Bbl), 금액(천$)
URLhttps://www.data.go.kr/data/15054609/fileData.do

Alerts

경질중유_물량 is highly imbalanced (65.0%)Imbalance
경질중유_금액 is highly imbalanced (65.0%)Imbalance
경질중유_단가 is highly imbalanced (65.0%)Imbalance
휘발유_물량 has 13 (41.9%) missing valuesMissing
휘발유_금액 has 13 (41.9%) missing valuesMissing
휘발유_단가 has 13 (41.9%) missing valuesMissing
항공유_물량 has 3 (9.7%) missing valuesMissing
항공유_금액 has 3 (9.7%) missing valuesMissing
항공유_단가 has 3 (9.7%) missing valuesMissing
아스팔트_물량 has 20 (64.5%) missing valuesMissing
아스팔트_금액 has 20 (64.5%) missing valuesMissing
아스팔트_단가 has 20 (64.5%) missing valuesMissing
윤활유_물량 has 19 (61.3%) missing valuesMissing
윤활유_금액 has 19 (61.3%) missing valuesMissing
윤활유_단가 has 19 (61.3%) missing valuesMissing
has unique valuesUnique
등유_물량 has unique valuesUnique
등유_금액 has unique valuesUnique
등유_단가 has unique valuesUnique
경유_물량 has unique valuesUnique
경유_금액 has unique valuesUnique
벙커C유_물량 has unique valuesUnique
벙커C유_금액 has unique valuesUnique
벙커C유_단가 has unique valuesUnique
납사_물량 has unique valuesUnique
납사_금액 has unique valuesUnique
납사_단가 has unique valuesUnique
LPG_물량 has unique valuesUnique
LPG_금액 has unique valuesUnique
LPG_단가 has unique valuesUnique
합계_물량 has unique valuesUnique
합계_금액 has unique valuesUnique
합계_단가 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:13:24.762405
Analysis finished2023-12-12 12:13:25.050063
Duration0.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables


Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2007
Minimum1992
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T21:13:25.115429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1992
5-th percentile1993.5
Q11999.5
median2007
Q32014.5
95-th percentile2020.5
Maximum2022
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.0921211
Coefficient of variation (CV)0.0045302048
Kurtosis-1.2
Mean2007
Median Absolute Deviation (MAD)8
Skewness0
Sum62217
Variance82.666667
MonotonicityStrictly increasing
2023-12-12T21:13:25.257931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1992 1
 
3.2%
1993 1
 
3.2%
2022 1
 
3.2%
2021 1
 
3.2%
2020 1
 
3.2%
2019 1
 
3.2%
2018 1
 
3.2%
2017 1
 
3.2%
2016 1
 
3.2%
2015 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1992 1
3.2%
1993 1
3.2%
1994 1
3.2%
1995 1
3.2%
1996 1
3.2%
1997 1
3.2%
1998 1
3.2%
1999 1
3.2%
2000 1
3.2%
2001 1
3.2%
ValueCountFrequency (%)
2022 1
3.2%
2021 1
3.2%
2020 1
3.2%
2019 1
3.2%
2018 1
3.2%
2017 1
3.2%
2016 1
3.2%
2015 1
3.2%
2014 1
3.2%
2013 1
3.2%

휘발유_물량
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing13
Missing (%)41.9%
Infinite0
Infinite (%)0.0%
Mean902.09833
Minimum0.14
Maximum4032
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T21:13:25.382500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.14
5-th percentile66.4655
Q1141
median388.5
Q31347.75
95-th percentile2396.6
Maximum4032
Range4031.86
Interquartile range (IQR)1206.75

Descriptive statistics

Standard deviation1056.9975
Coefficient of variation (CV)1.1717098
Kurtosis3.3409529
Mean902.09833
Median Absolute Deviation (MAD)330.915
Skewness1.7160993
Sum16237.77
Variance1117243.7
MonotonicityNot monotonic
2023-12-12T21:13:25.549485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
387.0 1
 
3.2%
85.51 1
 
3.2%
299.0 1
 
3.2%
0.14 1
 
3.2%
130.0 1
 
3.2%
174.0 1
 
3.2%
1127.0 1
 
3.2%
1391.0 1
 
3.2%
215.0 1
 
3.2%
390.0 1
 
3.2%
Other values (8) 8
25.8%
(Missing) 13
41.9%
ValueCountFrequency (%)
0.14 1
3.2%
78.17 1
3.2%
83.95 1
3.2%
85.51 1
3.2%
130.0 1
3.2%
174.0 1
3.2%
215.0 1
3.2%
299.0 1
3.2%
387.0 1
3.2%
390.0 1
3.2%
ValueCountFrequency (%)
4032.0 1
3.2%
2108.0 1
3.2%
2061.0 1
3.2%
1718.0 1
3.2%
1391.0 1
3.2%
1218.0 1
3.2%
1127.0 1
3.2%
740.0 1
3.2%
390.0 1
3.2%
387.0 1
3.2%

휘발유_금액
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing13
Missing (%)41.9%
Infinite0
Infinite (%)0.0%
Mean46928.911
Minimum72.4
Maximum214110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T21:13:25.712992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72.4
5-th percentile3423.61
Q110763
median25714
Q368357.75
95-th percentile136350.3
Maximum214110
Range214037.6
Interquartile range (IQR)57594.75

Descriptive statistics

Standard deviation54305.395
Coefficient of variation (CV)1.1571842
Kurtosis4.4606959
Mean46928.911
Median Absolute Deviation (MAD)21611.5
Skewness1.9537915
Sum844720.4
Variance2.9490759 × 109
MonotonicityNot monotonic
2023-12-12T21:13:25.847154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
33219.0 1
 
3.2%
12896.0 1
 
3.2%
25107.0 1
 
3.2%
72.4 1
 
3.2%
13031.0 1
 
3.2%
16098.0 1
 
3.2%
74832.0 1
 
3.2%
89259.0 1
 
3.2%
4190.0 1
 
3.2%
9193.0 1
 
3.2%
Other values (8) 8
25.8%
(Missing) 13
41.9%
ValueCountFrequency (%)
72.4 1
3.2%
4015.0 1
3.2%
4190.0 1
3.2%
9193.0 1
3.2%
10052.0 1
3.2%
12896.0 1
3.2%
13031.0 1
3.2%
16098.0 1
3.2%
25107.0 1
3.2%
26321.0 1
3.2%
ValueCountFrequency (%)
214110.0 1
3.2%
122628.0 1
3.2%
89259.0 1
3.2%
74832.0 1
3.2%
70160.0 1
3.2%
62951.0 1
3.2%
56586.0 1
3.2%
33219.0 1
3.2%
26321.0 1
3.2%
25107.0 1
3.2%

휘발유_단가
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing13
Missing (%)41.9%
Infinite0
Infinite (%)0.0%
Mean92.534444
Minimum19.46
Maximum506
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T21:13:25.975540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19.46
5-th percentile22.9705
Q134.4175
median65.27
Q398.105
95-th percentile204.25
Maximum506
Range486.54
Interquartile range (IQR)63.6875

Descriptive statistics

Standard deviation110.13604
Coefficient of variation (CV)1.1902167
Kurtosis13.108688
Mean92.534444
Median Absolute Deviation (MAD)32.98
Skewness3.4248946
Sum1665.62
Variance12129.948
MonotonicityNot monotonic
2023-12-12T21:13:26.096192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
85.91 1
 
3.2%
151.0 1
 
3.2%
84.02 1
 
3.2%
506.0 1
 
3.2%
100.0 1
 
3.2%
92.42 1
 
3.2%
66.39 1
 
3.2%
64.15 1
 
3.2%
19.46 1
 
3.2%
23.59 1
 
3.2%
Other values (8) 8
25.8%
(Missing) 13
41.9%
ValueCountFrequency (%)
19.46 1
3.2%
23.59 1
3.2%
29.87 1
3.2%
30.41 1
3.2%
34.04 1
3.2%
35.55 1
3.2%
46.45 1
3.2%
51.36 1
3.2%
64.15 1
3.2%
66.39 1
3.2%
ValueCountFrequency (%)
506.0 1
3.2%
151.0 1
3.2%
125.0 1
3.2%
120.0 1
3.2%
100.0 1
3.2%
92.42 1
3.2%
85.91 1
3.2%
84.02 1
3.2%
66.39 1
3.2%
64.15 1
3.2%

등유_물량
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4752.3684
Minimum0.71
Maximum27679
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T21:13:26.217154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.71
5-th percentile14.225
Q189.04
median379
Q36747
95-th percentile20224
Maximum27679
Range27678.29
Interquartile range (IQR)6657.96

Descriptive statistics

Standard deviation7514.2917
Coefficient of variation (CV)1.5811678
Kurtosis2.5322732
Mean4752.3684
Median Absolute Deviation (MAD)361.22
Skewness1.8033728
Sum147323.42
Variance56464579
MonotonicityNot monotonic
2023-12-12T21:13:26.324254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
8986.0 1
 
3.2%
16016.0 1
 
3.2%
37.72 1
 
3.2%
216.0 1
 
3.2%
80.25 1
 
3.2%
35.31 1
 
3.2%
0.71 1
 
3.2%
36.57 1
 
3.2%
17.78 1
 
3.2%
10.67 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
0.71 1
3.2%
10.67 1
3.2%
17.78 1
3.2%
35.31 1
3.2%
36.57 1
3.2%
37.72 1
3.2%
67.58 1
3.2%
80.25 1
3.2%
97.83 1
3.2%
133.0 1
3.2%
ValueCountFrequency (%)
27679.0 1
3.2%
23361.0 1
3.2%
17087.0 1
3.2%
16016.0 1
3.2%
15769.0 1
3.2%
8986.0 1
3.2%
6917.0 1
3.2%
6870.0 1
3.2%
6624.0 1
3.2%
5310.0 1
3.2%

등유_금액
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143894.59
Minimum44.23
Maximum880679
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T21:13:26.437624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44.23
5-th percentile1090.5
Q18604.5
median40275
Q3225081
95-th percentile526568.5
Maximum880679
Range880634.77
Interquartile range (IQR)216476.5

Descriptive statistics

Standard deviation211426.14
Coefficient of variation (CV)1.4693126
Kurtosis4.0321736
Mean143894.59
Median Absolute Deviation (MAD)37848
Skewness1.9879557
Sum4460732.2
Variance4.4701011 × 1010
MonotonicityNot monotonic
2023-12-12T21:13:26.563899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
243722.0 1
 
3.2%
427542.0 1
 
3.2%
3427.0 1
 
3.2%
16929.0 1
 
3.2%
3030.0 1
 
3.2%
2927.0 1
 
3.2%
44.23 1
 
3.2%
2297.0 1
 
3.2%
848.0 1
 
3.2%
1333.0 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
44.23 1
3.2%
848.0 1
3.2%
1333.0 1
3.2%
2297.0 1
3.2%
2927.0 1
3.2%
3030.0 1
3.2%
3427.0 1
3.2%
4817.0 1
3.2%
12392.0 1
3.2%
16699.0 1
3.2%
ValueCountFrequency (%)
880679.0 1
3.2%
584251.0 1
3.2%
468886.0 1
3.2%
427542.0 1
3.2%
416775.0 1
3.2%
255490.0 1
3.2%
248264.0 1
3.2%
243722.0 1
3.2%
206440.0 1
3.2%
166736.0 1
3.2%

등유_단가
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.359032
Minimum21.7
Maximum130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T21:13:26.710646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21.7
5-th percentile24.7
Q130.625
median62.5
Q386.865
95-th percentile127.5
Maximum130
Range108.3
Interquartile range (IQR)56.24

Descriptive statistics

Standard deviation37.131462
Coefficient of variation (CV)0.57694252
Kurtosis-1.0588254
Mean64.359032
Median Absolute Deviation (MAD)31.1
Skewness0.56996482
Sum1995.13
Variance1378.7455
MonotonicityNot monotonic
2023-12-12T21:13:26.854446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
27.12 1
 
3.2%
26.7 1
 
3.2%
90.85 1
 
3.2%
78.48 1
 
3.2%
37.76 1
 
3.2%
82.88 1
 
3.2%
62.5 1
 
3.2%
62.79 1
 
3.2%
47.67 1
 
3.2%
125.0 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
21.7 1
3.2%
24.39 1
3.2%
25.01 1
3.2%
25.23 1
3.2%
26.7 1
3.2%
27.12 1
3.2%
29.73 1
3.2%
29.85 1
3.2%
31.4 1
3.2%
31.82 1
3.2%
ValueCountFrequency (%)
130.0 1
3.2%
128.0 1
3.2%
127.0 1
3.2%
126.0 1
3.2%
125.0 1
3.2%
106.0 1
3.2%
103.0 1
3.2%
90.85 1
3.2%
82.88 1
3.2%
81.93 1
3.2%

경유_물량
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5093.1019
Minimum0.11
Maximum32190
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T21:13:27.063369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.11
5-th percentile78.525
Q1334.5
median2198
Q36231
95-th percentile17987.5
Maximum32190
Range32189.89
Interquartile range (IQR)5896.5

Descriptive statistics

Standard deviation7200.1604
Coefficient of variation (CV)1.4137083
Kurtosis5.8968124
Mean5093.1019
Median Absolute Deviation (MAD)2000
Skewness2.26014
Sum157886.16
Variance51842310
MonotonicityNot monotonic
2023-12-12T21:13:27.197190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
5781.0 1
 
3.2%
11226.0 1
 
3.2%
300.0 1
 
3.2%
0.11 1
 
3.2%
19.05 1
 
3.2%
138.0 1
 
3.2%
237.0 1
 
3.2%
236.0 1
 
3.2%
198.0 1
 
3.2%
267.0 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
0.11 1
3.2%
19.05 1
3.2%
138.0 1
3.2%
198.0 1
3.2%
236.0 1
3.2%
237.0 1
3.2%
267.0 1
3.2%
300.0 1
3.2%
369.0 1
3.2%
758.0 1
3.2%
ValueCountFrequency (%)
32190.0 1
3.2%
18540.0 1
3.2%
17435.0 1
3.2%
12928.0 1
3.2%
11226.0 1
3.2%
11141.0 1
3.2%
8597.0 1
3.2%
6681.0 1
3.2%
5781.0 1
3.2%
5152.0 1
3.2%

경유_금액
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean212754.37
Minimum11.57
Maximum1093990
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T21:13:27.345057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.57
5-th percentile5865.5
Q135303
median102578
Q3331846.5
95-th percentile688708.5
Maximum1093990
Range1093978.4
Interquartile range (IQR)296543.5

Descriptive statistics

Standard deviation265947.63
Coefficient of variation (CV)1.2500219
Kurtosis2.9684984
Mean212754.37
Median Absolute Deviation (MAD)86371
Skewness1.7656429
Sum6595385.6
Variance7.0728143 × 1010
MonotonicityNot monotonic
2023-12-12T21:13:27.503961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
147166.0 1
 
3.2%
285211.0 1
 
3.2%
34025.0 1
 
3.2%
11.57 1
 
3.2%
744.0 1
 
3.2%
11007.0 1
 
3.2%
20523.0 1
 
3.2%
16207.0 1
 
3.2%
10987.0 1
 
3.2%
20126.0 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
11.57 1
3.2%
744.0 1
3.2%
10987.0 1
3.2%
11007.0 1
3.2%
16207.0 1
3.2%
20126.0 1
3.2%
20523.0 1
3.2%
34025.0 1
3.2%
36581.0 1
3.2%
46447.0 1
3.2%
ValueCountFrequency (%)
1093990.0 1
3.2%
746144.0 1
3.2%
631273.0 1
3.2%
624334.0 1
3.2%
529453.0 1
3.2%
386100.0 1
3.2%
378676.0 1
3.2%
378482.0 1
3.2%
285211.0 1
3.2%
205038.0 1
3.2%

경유_단가
Real number (ℝ)

Distinct30
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.637097
Minimum16.65
Maximum130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T21:13:27.645726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.65
5-th percentile22.66
Q128.925
median61.77
Q390.045
95-th percentile127
Maximum130
Range113.35
Interquartile range (IQR)61.12

Descriptive statistics

Standard deviation38.307988
Coefficient of variation (CV)0.59266258
Kurtosis-1.2209586
Mean64.637097
Median Absolute Deviation (MAD)32.48
Skewness0.4475122
Sum2003.75
Variance1467.502
MonotonicityNot monotonic
2023-12-12T21:13:27.794893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
127.0 2
 
6.5%
25.46 1
 
3.2%
126.0 1
 
3.2%
113.0 1
 
3.2%
104.0 1
 
3.2%
39.03 1
 
3.2%
79.98 1
 
3.2%
86.61 1
 
3.2%
68.8 1
 
3.2%
55.39 1
 
3.2%
Other values (20) 20
64.5%
ValueCountFrequency (%)
16.65 1
3.2%
22.14 1
3.2%
23.18 1
3.2%
23.81 1
3.2%
25.41 1
3.2%
25.46 1
3.2%
26.06 1
3.2%
28.56 1
3.2%
29.29 1
3.2%
30.69 1
3.2%
ValueCountFrequency (%)
130.0 1
3.2%
127.0 2
6.5%
126.0 1
3.2%
123.0 1
3.2%
113.0 1
3.2%
104.0 1
3.2%
93.48 1
3.2%
86.61 1
3.2%
84.2 1
3.2%
79.98 1
3.2%

경질중유_물량
Categorical

IMBALANCE 

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
27 
28.05
 
1
69.98
 
1
3.14
 
1
30.05
 
1

Length

Max length5
Median length4
Mean length4.0967742
Min length4

Unique

Unique4 ?
Unique (%)12.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
87.1%
28.05 1
 
3.2%
69.98 1
 
3.2%
3.14 1
 
3.2%
30.05 1
 
3.2%

Length

2023-12-12T21:13:27.932346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:13:28.066209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
87.1%
28.05 1
 
3.2%
69.98 1
 
3.2%
3.14 1
 
3.2%
30.05 1
 
3.2%

경질중유_금액
Categorical

IMBALANCE 

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
27 
1038
 
1
2627
 
1
152
 
1
1622
 
1

Length

Max length4
Median length4
Mean length3.9677419
Min length3

Unique

Unique4 ?
Unique (%)12.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
87.1%
1038 1
 
3.2%
2627 1
 
3.2%
152 1
 
3.2%
1622 1
 
3.2%

Length

2023-12-12T21:13:28.201763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:13:28.307126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
87.1%
1038 1
 
3.2%
2627 1
 
3.2%
152 1
 
3.2%
1622 1
 
3.2%

경질중유_단가
Categorical

IMBALANCE 

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
<NA>
27 
37.03
 
1
37.54
 
1
48.19
 
1
53.97
 
1

Length

Max length5
Median length4
Mean length4.1290323
Min length4

Unique

Unique4 ?
Unique (%)12.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
87.1%
37.03 1
 
3.2%
37.54 1
 
3.2%
48.19 1
 
3.2%
53.97 1
 
3.2%

Length

2023-12-12T21:13:28.434475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:13:28.549792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
87.1%
37.03 1
 
3.2%
37.54 1
 
3.2%
48.19 1
 
3.2%
53.97 1
 
3.2%

벙커C유_물량
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25935.355
Minimum4021
Maximum52006
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T21:13:28.687569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4021
5-th percentile6551
Q115944.5
median25107
Q334878.5
95-th percentile46982.5
Maximum52006
Range47985
Interquartile range (IQR)18934

Descriptive statistics

Standard deviation13286.039
Coefficient of variation (CV)0.5122752
Kurtosis-0.83949935
Mean25935.355
Median Absolute Deviation (MAD)9715
Skewness0.16658482
Sum803996
Variance1.7651884 × 108
MonotonicityNot monotonic
2023-12-12T21:13:28.829606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
34271 1
 
3.2%
32624 1
 
3.2%
20800 1
 
3.2%
37239 1
 
3.2%
29626 1
 
3.2%
31585 1
 
3.2%
42915 1
 
3.2%
40091 1
 
3.2%
47228 1
 
3.2%
46737 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
4021 1
3.2%
5910 1
3.2%
7192 1
3.2%
8282 1
3.2%
8737 1
3.2%
12926 1
3.2%
13759 1
3.2%
15392 1
3.2%
16497 1
3.2%
17478 1
3.2%
ValueCountFrequency (%)
52006 1
3.2%
47228 1
3.2%
46737 1
3.2%
44281 1
3.2%
42915 1
3.2%
40091 1
3.2%
37239 1
3.2%
35486 1
3.2%
34271 1
3.2%
32624 1
3.2%

벙커C유_금액
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1333856.6
Minimum178302
Maximum4966995
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T21:13:28.951576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum178302
5-th percentile225502
Q1483644
median644250
Q32011506
95-th percentile3760500
Maximum4966995
Range4788693
Interquartile range (IQR)1527862

Descriptive statistics

Standard deviation1250514.2
Coefficient of variation (CV)0.93751769
Kurtosis1.7588391
Mean1333856.6
Median Absolute Deviation (MAD)406465
Skewness1.4560249
Sum41349555
Variance1.5637857 × 1012
MonotonicityNot monotonic
2023-12-12T21:13:29.123407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
532421 1
 
3.2%
496320 1
 
3.2%
1917214 1
 
3.2%
2591656 1
 
3.2%
1508187 1
 
3.2%
2105798 1
 
3.2%
3034134 1
 
3.2%
2189603 1
 
3.2%
1793155 1
 
3.2%
2242318 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
178302 1
3.2%
184925 1
3.2%
266079 1
3.2%
275308 1
3.2%
322948 1
3.2%
411053 1
3.2%
414759 1
3.2%
470968 1
3.2%
496320 1
3.2%
524995 1
3.2%
ValueCountFrequency (%)
4966995 1
3.2%
4486866 1
3.2%
3034134 1
3.2%
2975775 1
3.2%
2591656 1
3.2%
2242318 1
3.2%
2189603 1
3.2%
2105798 1
3.2%
1917214 1
3.2%
1793155 1
3.2%

벙커C유_단가
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.66
Minimum14.31
Maximum109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T21:13:29.573892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.31
5-th percentile15
Q121.91
median47.98
Q370.15
95-th percentile102
Maximum109
Range94.69
Interquartile range (IQR)48.24

Descriptive statistics

Standard deviation30.429205
Coefficient of variation (CV)0.6127508
Kurtosis-0.96366528
Mean49.66
Median Absolute Deviation (MAD)23.81
Skewness0.52627007
Sum1539.46
Variance925.93649
MonotonicityNot monotonic
2023-12-12T21:13:29.716857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
15.54 1
 
3.2%
15.21 1
 
3.2%
92.17 1
 
3.2%
69.6 1
 
3.2%
50.91 1
 
3.2%
66.67 1
 
3.2%
70.7 1
 
3.2%
54.62 1
 
3.2%
37.97 1
 
3.2%
47.98 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
14.31 1
3.2%
14.79 1
3.2%
15.21 1
3.2%
15.54 1
3.2%
16.13 1
3.2%
16.56 1
3.2%
19.0 1
3.2%
19.65 1
3.2%
24.17 1
3.2%
24.82 1
3.2%
ValueCountFrequency (%)
109.0 1
3.2%
103.0 1
3.2%
101.0 1
3.2%
95.51 1
3.2%
92.17 1
3.2%
89.57 1
3.2%
74.11 1
3.2%
70.7 1
3.2%
69.6 1
3.2%
66.67 1
3.2%

납사_물량
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152044.77
Minimum47948
Maximum253313
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T21:13:29.847654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47948
5-th percentile67125.5
Q1108191.5
median143766
Q3203975
95-th percentile231348
Maximum253313
Range205365
Interquartile range (IQR)95783.5

Descriptive statistics

Standard deviation58818.95
Coefficient of variation (CV)0.38685282
Kurtosis-1.2601511
Mean152044.77
Median Absolute Deviation (MAD)55866
Skewness-0.085939372
Sum4713388
Variance3.4596688 × 109
MonotonicityNot monotonic
2023-12-12T21:13:29.981016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
47948 1
 
3.2%
62414 1
 
3.2%
236608 1
 
3.2%
253313 1
 
3.2%
215878 1
 
3.2%
226088 1
 
3.2%
218814 1
 
3.2%
199632 1
 
3.2%
202224 1
 
3.2%
197617 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
47948 1
3.2%
62414 1
3.2%
71837 1
3.2%
72167 1
3.2%
79326 1
3.2%
80204 1
3.2%
101119 1
3.2%
105100 1
3.2%
111283 1
3.2%
119738 1
3.2%
ValueCountFrequency (%)
253313 1
3.2%
236608 1
3.2%
226088 1
3.2%
218814 1
3.2%
215878 1
3.2%
208297 1
3.2%
207444 1
3.2%
205726 1
3.2%
202224 1
3.2%
199632 1
3.2%

납사_금액
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9363162
Minimum1055184
Maximum21930379
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T21:13:30.131489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1055184
5-th percentile1201521.5
Q12534174
median8916953
Q315261136
95-th percentile21215846
Maximum21930379
Range20875195
Interquartile range (IQR)12726962

Descriptive statistics

Standard deviation7163741.8
Coefficient of variation (CV)0.76509857
Kurtosis-1.1752765
Mean9363162
Median Absolute Deviation (MAD)6438374
Skewness0.43898021
Sum2.9025802 × 108
Variance5.1319197 × 1013
MonotonicityNot monotonic
2023-12-12T21:13:30.260054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1055184 1
 
3.2%
1178950 1
 
3.2%
20986621 1
 
3.2%
18016852 1
 
3.2%
9782879 1
 
3.2%
13217098 1
 
3.2%
15445074 1
 
3.2%
10811939 1
 
3.2%
8916953 1
 
3.2%
11022933 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1055184 1
3.2%
1178950 1
3.2%
1224093 1
3.2%
1358205 1
3.2%
1749269 1
3.2%
1781860 1
3.2%
1885222 1
3.2%
1981365 1
3.2%
3086983 1
3.2%
3252152 1
3.2%
ValueCountFrequency (%)
21930379 1
3.2%
21445070 1
3.2%
20986621 1
3.2%
20939788 1
3.2%
19648644 1
3.2%
18016852 1
3.2%
15445074 1
3.2%
15355327 1
3.2%
15166944 1
3.2%
13217098 1
3.2%

납사_단가
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.195161
Minimum16.95
Maximum106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T21:13:30.386958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.95
5-th percentile17.925
Q124.545
median52.95
Q372.585
95-th percentile103.5
Maximum106
Range89.05
Interquartile range (IQR)48.04

Descriptive statistics

Standard deviation30.176754
Coefficient of variation (CV)0.56728382
Kurtosis-1.0964466
Mean53.195161
Median Absolute Deviation (MAD)27.47
Skewness0.44546949
Sum1649.05
Variance910.63649
MonotonicityNot monotonic
2023-12-12T21:13:30.508001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
22.01 1
 
3.2%
18.89 1
 
3.2%
88.7 1
 
3.2%
71.12 1
 
3.2%
45.32 1
 
3.2%
58.46 1
 
3.2%
70.59 1
 
3.2%
54.16 1
 
3.2%
44.09 1
 
3.2%
55.78 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
16.95 1
3.2%
16.96 1
3.2%
18.89 1
3.2%
18.91 1
3.2%
19.59 1
3.2%
21.81 1
3.2%
22.01 1
3.2%
23.77 1
3.2%
25.32 1
3.2%
27.16 1
3.2%
ValueCountFrequency (%)
106.0 1
3.2%
104.0 1
3.2%
103.0 1
3.2%
102.0 1
3.2%
100.11 1
3.2%
88.7 1
3.2%
80.42 1
3.2%
74.05 1
3.2%
71.12 1
3.2%
70.59 1
3.2%

항공유_물량
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing3
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean785.29821
Minimum1.07
Maximum4408
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T21:13:30.659776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.07
5-th percentile2.301
Q13.2575
median11.205
Q3556.75
95-th percentile3741.9
Maximum4408
Range4406.93
Interquartile range (IQR)553.4925

Descriptive statistics

Standard deviation1413.2314
Coefficient of variation (CV)1.7996111
Kurtosis1.1997541
Mean785.29821
Median Absolute Deviation (MAD)8.73
Skewness1.6492816
Sum21988.35
Variance1997222.9
MonotonicityNot monotonic
2023-12-12T21:13:30.784338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
5.59 1
 
3.2%
2.47 1
 
3.2%
5.39 1
 
3.2%
4.78 1
 
3.2%
3.32 1
 
3.2%
2.6 1
 
3.2%
3.07 1
 
3.2%
6.54 1
 
3.2%
4.14 1
 
3.2%
6.27 1
 
3.2%
Other values (18) 18
58.1%
(Missing) 3
 
9.7%
ValueCountFrequency (%)
1.07 1
3.2%
2.21 1
3.2%
2.47 1
3.2%
2.48 1
3.2%
2.6 1
3.2%
2.73 1
3.2%
3.07 1
3.2%
3.32 1
3.2%
4.14 1
3.2%
4.78 1
3.2%
ValueCountFrequency (%)
4408.0 1
3.2%
3828.0 1
3.2%
3582.0 1
3.2%
3459.0 1
3.2%
2781.0 1
3.2%
1696.0 1
3.2%
1210.0 1
3.2%
339.0 1
3.2%
251.0 1
3.2%
215.0 1
3.2%

항공유_금액
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing3
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean24114.25
Minimum143
Maximum132694
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T21:13:30.913146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum143
5-th percentile281.2
Q1546.5
median1647
Q320785.25
95-th percentile124357.7
Maximum132694
Range132551
Interquartile range (IQR)20238.75

Descriptive statistics

Standard deviation42097.976
Coefficient of variation (CV)1.7457717
Kurtosis1.8132204
Mean24114.25
Median Absolute Deviation (MAD)1358
Skewness1.7596829
Sum675199
Variance1.7722396 × 109
MonotonicityNot monotonic
2023-12-12T21:13:31.047172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
820 1
 
3.2%
549 1
 
3.2%
980 1
 
3.2%
721 1
 
3.2%
539 1
 
3.2%
454 1
 
3.2%
476 1
 
3.2%
971 1
 
3.2%
623 1
 
3.2%
1106 1
 
3.2%
Other values (18) 18
58.1%
(Missing) 3
 
9.7%
ValueCountFrequency (%)
143 1
3.2%
263 1
3.2%
315 1
3.2%
454 1
3.2%
469 1
3.2%
476 1
3.2%
539 1
3.2%
549 1
3.2%
623 1
3.2%
721 1
3.2%
ValueCountFrequency (%)
132694 1
3.2%
131644 1
3.2%
110826 1
3.2%
76478 1
3.2%
75809 1
3.2%
63539 1
3.2%
26558 1
3.2%
18861 1
3.2%
9600 1
3.2%
9238 1
3.2%

항공유_단가
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing3
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean109.49357
Minimum19.98
Maximum223
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T21:13:31.168318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19.98
5-th percentile23.8085
Q135.8375
median135.5
Q3156.75
95-th percentile183.95
Maximum223
Range203.02
Interquartile range (IQR)120.9125

Descriptive statistics

Standard deviation64.933116
Coefficient of variation (CV)0.59303131
Kurtosis-1.5291265
Mean109.49357
Median Absolute Deviation (MAD)43.5
Skewness-0.2002257
Sum3065.82
Variance4216.3095
MonotonicityNot monotonic
2023-12-12T21:13:31.298920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
147.0 1
 
3.2%
223.0 1
 
3.2%
182.0 1
 
3.2%
151.0 1
 
3.2%
162.0 1
 
3.2%
175.0 1
 
3.2%
155.0 1
 
3.2%
148.0 1
 
3.2%
150.0 1
 
3.2%
176.0 1
 
3.2%
Other values (18) 18
58.1%
(Missing) 3
 
9.7%
ValueCountFrequency (%)
19.98 1
3.2%
21.95 1
3.2%
27.26 1
3.2%
28.35 1
3.2%
30.1 1
3.2%
30.79 1
3.2%
30.94 1
3.2%
37.47 1
3.2%
38.05 1
3.2%
42.93 1
3.2%
ValueCountFrequency (%)
223.0 1
3.2%
185.0 1
3.2%
182.0 1
3.2%
176.0 1
3.2%
175.0 1
3.2%
172.0 1
3.2%
162.0 1
3.2%
155.0 1
3.2%
151.0 1
3.2%
150.0 1
3.2%

LPG_물량
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64409.742
Minimum39631
Maximum107072
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T21:13:31.419261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39631
5-th percentile46681.5
Q151951
median58172
Q371643.5
95-th percentile99031.5
Maximum107072
Range67441
Interquartile range (IQR)19692.5

Descriptive statistics

Standard deviation17245.911
Coefficient of variation (CV)0.26775314
Kurtosis0.41369334
Mean64409.742
Median Absolute Deviation (MAD)9028
Skewness1.0425019
Sum1996702
Variance2.9742143 × 108
MonotonicityNot monotonic
2023-12-12T21:13:31.537874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
39631 1
 
3.2%
45479 1
 
3.2%
107072 1
 
3.2%
96898 1
 
3.2%
101165 1
 
3.2%
94093 1
 
3.2%
79325 1
 
3.2%
73279 1
 
3.2%
83271 1
 
3.2%
62712 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
39631 1
3.2%
45479 1
3.2%
47884 1
3.2%
48062 1
3.2%
48595 1
3.2%
49144 1
3.2%
49689 1
3.2%
50801 1
3.2%
53101 1
3.2%
54003 1
3.2%
ValueCountFrequency (%)
107072 1
3.2%
101165 1
3.2%
96898 1
3.2%
94093 1
3.2%
83271 1
3.2%
79325 1
3.2%
73940 1
3.2%
73279 1
3.2%
70008 1
3.2%
69629 1
3.2%

LPG_금액
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2757173.7
Minimum593997
Maximum7083592
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T21:13:31.652139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum593997
5-th percentile600457
Q11232447.5
median2569062
Q34057230
95-th percentile5618372.5
Maximum7083592
Range6489595
Interquartile range (IQR)2824782.5

Descriptive statistics

Standard deviation1827755.9
Coefficient of variation (CV)0.66290921
Kurtosis-0.65112149
Mean2757173.7
Median Absolute Deviation (MAD)1348450
Skewness0.61204512
Sum85472385
Variance3.3406915 × 1012
MonotonicityNot monotonic
2023-12-12T21:13:31.774640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
593997 1
 
3.2%
601209 1
 
3.2%
7083592 1
 
3.2%
5242106 1
 
3.2%
3295985 1
 
3.2%
3527235 1
 
3.2%
3807479 1
 
3.2%
3009929 1
 
3.2%
2569062 1
 
3.2%
2629607 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
593997 1
3.2%
599705 1
3.2%
601209 1
3.2%
715587 1
3.2%
895500 1
3.2%
1017177 1
3.2%
1035835 1
3.2%
1220612 1
3.2%
1244283 1
3.2%
1252026 1
3.2%
ValueCountFrequency (%)
7083592 1
3.2%
5663249 1
3.2%
5573496 1
3.2%
5242106 1
3.2%
5097746 1
3.2%
4855640 1
3.2%
4725731 1
3.2%
4306981 1
3.2%
3807479 1
3.2%
3527235 1
3.2%

LPG_단가
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.182581
Minimum12.34
Maximum79.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T21:13:31.908263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12.34
5-th percentile13.89
Q122.005
median37.49
Q353.54
95-th percentile76.935
Maximum79.61
Range67.27
Interquartile range (IQR)31.535

Descriptive statistics

Standard deviation21.777663
Coefficient of variation (CV)0.54196775
Kurtosis-0.95555802
Mean40.182581
Median Absolute Deviation (MAD)15.61
Skewness0.52890532
Sum1245.66
Variance474.2666
MonotonicityNot monotonic
2023-12-12T21:13:32.028655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
14.99 1
 
3.2%
13.22 1
 
3.2%
66.16 1
 
3.2%
54.1 1
 
3.2%
32.58 1
 
3.2%
37.49 1
 
3.2%
48.0 1
 
3.2%
41.07 1
 
3.2%
30.85 1
 
3.2%
41.93 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
12.34 1
3.2%
13.22 1
3.2%
14.56 1
3.2%
14.99 1
3.2%
16.86 1
3.2%
17.96 1
3.2%
18.44 1
3.2%
21.88 1
3.2%
22.13 1
3.2%
25.4 1
3.2%
ValueCountFrequency (%)
79.61 1
3.2%
77.28 1
3.2%
76.59 1
3.2%
76.43 1
3.2%
74.96 1
3.2%
66.16 1
3.2%
61.86 1
3.2%
54.1 1
3.2%
52.98 1
3.2%
48.0 1
3.2%

아스팔트_물량
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing20
Missing (%)64.5%
Infinite0
Infinite (%)0.0%
Mean478.71
Minimum18.44
Maximum3353
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T21:13:32.165802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18.44
5-th percentile21.315
Q144.145
median140
Q3412.5
95-th percentile1952
Maximum3353
Range3334.56
Interquartile range (IQR)368.355

Descriptive statistics

Standard deviation971.376
Coefficient of variation (CV)2.0291534
Kurtosis9.9305843
Mean478.71
Median Absolute Deviation (MAD)115.81
Skewness3.101502
Sum5265.81
Variance943571.34
MonotonicityNot monotonic
2023-12-12T21:13:32.292011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
395.0 1
 
3.2%
18.44 1
 
3.2%
24.19 1
 
3.2%
201.0 1
 
3.2%
57.18 1
 
3.2%
140.0 1
 
3.2%
31.11 1
 
3.2%
64.89 1
 
3.2%
430.0 1
 
3.2%
3353.0 1
 
3.2%
(Missing) 20
64.5%
ValueCountFrequency (%)
18.44 1
3.2%
24.19 1
3.2%
31.11 1
3.2%
57.18 1
3.2%
64.89 1
3.2%
140.0 1
3.2%
201.0 1
3.2%
395.0 1
3.2%
430.0 1
3.2%
551.0 1
3.2%
ValueCountFrequency (%)
3353.0 1
3.2%
551.0 1
3.2%
430.0 1
3.2%
395.0 1
3.2%
201.0 1
3.2%
140.0 1
3.2%
64.89 1
3.2%
57.18 1
3.2%
31.11 1
3.2%
24.19 1
3.2%

아스팔트_금액
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing20
Missing (%)64.5%
Infinite0
Infinite (%)0.0%
Mean29538
Minimum388
Maximum234076
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T21:13:32.415482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum388
5-th percentile498
Q11649
median3957
Q313877
95-th percentile140227
Maximum234076
Range233688
Interquartile range (IQR)12228

Descriptive statistics

Standard deviation69159.832
Coefficient of variation (CV)2.3413851
Kurtosis9.8921957
Mean29538
Median Absolute Deviation (MAD)3349
Skewness3.1074957
Sum324918
Variance4.7830823 × 109
MonotonicityNot monotonic
2023-12-12T21:13:32.517469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
9300 1
 
3.2%
388 1
 
3.2%
608 1
 
3.2%
5040 1
 
3.2%
1576 1
 
3.2%
3957 1
 
3.2%
1722 1
 
3.2%
3419 1
 
3.2%
18454 1
 
3.2%
234076 1
 
3.2%
(Missing) 20
64.5%
ValueCountFrequency (%)
388 1
3.2%
608 1
3.2%
1576 1
3.2%
1722 1
3.2%
3419 1
3.2%
3957 1
3.2%
5040 1
3.2%
9300 1
3.2%
18454 1
3.2%
46378 1
3.2%
ValueCountFrequency (%)
234076 1
3.2%
46378 1
3.2%
18454 1
3.2%
9300 1
3.2%
5040 1
3.2%
3957 1
3.2%
3419 1
3.2%
1722 1
3.2%
1576 1
3.2%
608 1
3.2%

아스팔트_단가
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing20
Missing (%)64.5%
Infinite0
Infinite (%)0.0%
Mean41.416364
Minimum21.05
Maximum84.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T21:13:32.638020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21.05
5-th percentile22.3
Q125.095
median28.36
Q354.015
95-th percentile76.975
Maximum84.13
Range63.08
Interquartile range (IQR)28.92

Descriptive statistics

Standard deviation21.40934
Coefficient of variation (CV)0.5169295
Kurtosis-0.22671576
Mean41.416364
Median Absolute Deviation (MAD)7.31
Skewness0.96210086
Sum455.58
Variance458.35985
MonotonicityNot monotonic
2023-12-12T21:13:32.817706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
23.55 1
 
3.2%
21.05 1
 
3.2%
25.15 1
 
3.2%
25.04 1
 
3.2%
27.56 1
 
3.2%
28.36 1
 
3.2%
55.34 1
 
3.2%
52.69 1
 
3.2%
42.89 1
 
3.2%
69.82 1
 
3.2%
(Missing) 20
64.5%
ValueCountFrequency (%)
21.05 1
3.2%
23.55 1
3.2%
25.04 1
3.2%
25.15 1
3.2%
27.56 1
3.2%
28.36 1
3.2%
42.89 1
3.2%
52.69 1
3.2%
55.34 1
3.2%
69.82 1
3.2%
ValueCountFrequency (%)
84.13 1
3.2%
69.82 1
3.2%
55.34 1
3.2%
52.69 1
3.2%
42.89 1
3.2%
28.36 1
3.2%
27.56 1
3.2%
25.15 1
3.2%
25.04 1
3.2%
23.55 1
3.2%

윤활유_물량
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing19
Missing (%)61.3%
Infinite0
Infinite (%)0.0%
Mean284.45167
Minimum11.21
Maximum1605
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T21:13:32.934930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.21
5-th percentile12.7115
Q121.3075
median38.655
Q3219.25
95-th percentile1268.4
Maximum1605
Range1593.79
Interquartile range (IQR)197.9425

Descriptive statistics

Standard deviation502.69904
Coefficient of variation (CV)1.7672565
Kurtosis4.1765341
Mean284.45167
Median Absolute Deviation (MAD)26.08
Skewness2.1699299
Sum3413.42
Variance252706.33
MonotonicityNot monotonic
2023-12-12T21:13:33.090323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
14.22 1
 
3.2%
23.67 1
 
3.2%
13.94 1
 
3.2%
382.0 1
 
3.2%
42.74 1
 
3.2%
104.0 1
 
3.2%
24.07 1
 
3.2%
11.21 1
 
3.2%
34.57 1
 
3.2%
165.0 1
 
3.2%
Other values (2) 2
 
6.5%
(Missing) 19
61.3%
ValueCountFrequency (%)
11.21 1
3.2%
13.94 1
3.2%
14.22 1
3.2%
23.67 1
3.2%
24.07 1
3.2%
34.57 1
3.2%
42.74 1
3.2%
104.0 1
3.2%
165.0 1
3.2%
382.0 1
3.2%
ValueCountFrequency (%)
1605.0 1
3.2%
993.0 1
3.2%
382.0 1
3.2%
165.0 1
3.2%
104.0 1
3.2%
42.74 1
3.2%
34.57 1
3.2%
24.07 1
3.2%
23.67 1
3.2%
14.22 1
3.2%

윤활유_금액
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing19
Missing (%)61.3%
Infinite0
Infinite (%)0.0%
Mean39937.417
Minimum563
Maximum262462
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T21:13:33.210963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum563
5-th percentile663.65
Q11224.25
median5783
Q318311
95-th percentile195368.6
Maximum262462
Range261899
Interquartile range (IQR)17086.75

Descriptive statistics

Standard deviation80279.346
Coefficient of variation (CV)2.0101287
Kurtosis5.7130317
Mean39937.417
Median Absolute Deviation (MAD)5128.5
Skewness2.451944
Sum479249
Variance6.4447734 × 109
MonotonicityNot monotonic
2023-12-12T21:13:33.341697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
563 1
 
3.2%
1238 1
 
3.2%
746 1
 
3.2%
30782 1
 
3.2%
7865 1
 
3.2%
14154 1
 
3.2%
2716 1
 
3.2%
1183 1
 
3.2%
3701 1
 
3.2%
13365 1
 
3.2%
Other values (2) 2
 
6.5%
(Missing) 19
61.3%
ValueCountFrequency (%)
563 1
3.2%
746 1
3.2%
1183 1
3.2%
1238 1
3.2%
2716 1
3.2%
3701 1
3.2%
7865 1
3.2%
13365 1
3.2%
14154 1
3.2%
30782 1
3.2%
ValueCountFrequency (%)
262462 1
3.2%
140474 1
3.2%
30782 1
3.2%
14154 1
3.2%
13365 1
3.2%
7865 1
3.2%
3701 1
3.2%
2716 1
3.2%
1238 1
3.2%
1183 1
3.2%

윤활유_단가
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing19
Missing (%)61.3%
Infinite0
Infinite (%)0.0%
Mean104.93333
Minimum39.58
Maximum184
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T21:13:33.467273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39.58
5-th percentile46.565
Q173.8475
median106.5
Q3137.5
95-th percentile173
Maximum184
Range144.42
Interquartile range (IQR)63.6525

Descriptive statistics

Standard deviation45.718737
Coefficient of variation (CV)0.43569318
Kurtosis-0.87135482
Mean104.93333
Median Absolute Deviation (MAD)32.5
Skewness0.22025639
Sum1259.2
Variance2090.203
MonotonicityNot monotonic
2023-12-12T21:13:33.586997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
39.58 1
 
3.2%
52.28 1
 
3.2%
53.5 1
 
3.2%
80.63 1
 
3.2%
184.0 1
 
3.2%
136.0 1
 
3.2%
113.0 1
 
3.2%
106.0 1
 
3.2%
107.0 1
 
3.2%
81.21 1
 
3.2%
Other values (2) 2
 
6.5%
(Missing) 19
61.3%
ValueCountFrequency (%)
39.58 1
3.2%
52.28 1
3.2%
53.5 1
3.2%
80.63 1
3.2%
81.21 1
3.2%
106.0 1
3.2%
107.0 1
3.2%
113.0 1
3.2%
136.0 1
3.2%
142.0 1
3.2%
ValueCountFrequency (%)
184.0 1
3.2%
164.0 1
3.2%
142.0 1
3.2%
136.0 1
3.2%
113.0 1
3.2%
107.0 1
3.2%
106.0 1
3.2%
81.21 1
3.2%
80.63 1
3.2%
53.5 1
3.2%

합계_물량
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean253752.64
Minimum137012
Maximum392316.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T21:13:33.737185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum137012
5-th percentile171827.5
Q1193328.93
median224613
Q3320501.83
95-th percentile359584.45
Maximum392316.5
Range255304.5
Interquartile range (IQR)127172.89

Descriptive statistics

Standard deviation71506.685
Coefficient of variation (CV)0.28179681
Kurtosis-1.2708016
Mean253752.64
Median Absolute Deviation (MAD)48717
Skewness0.33763446
Sum7866331.9
Variance5.113206 × 109
MonotonicityNot monotonic
2023-12-12T21:13:33.901100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
137012.0 1
 
3.2%
167759.0 1
 
3.2%
367061.7 1
 
3.2%
392316.5 1
 
3.2%
347368.0 1
 
3.2%
352107.2 1
 
3.2%
341544.41 1
 
3.2%
314404.64 1
 
3.2%
334360.39 1
 
3.2%
307869.92 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
137012.0 1
3.2%
167759.0 1
3.2%
175896.0 1
3.2%
179353.24 1
3.2%
184491.0 1
3.2%
185812.22 1
3.2%
190788.44 1
3.2%
191547.73 1
3.2%
195110.14 1
3.2%
204301.19 1
3.2%
ValueCountFrequency (%)
392316.5 1
3.2%
367061.7 1
3.2%
352107.2 1
3.2%
347368.0 1
3.2%
341544.41 1
3.2%
334360.39 1
3.2%
328976.32 1
3.2%
326599.01 1
3.2%
314404.64 1
3.2%
309926.28 1
3.2%

합계_금액
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13885987
Minimum2581790
Maximum32353402
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T21:13:34.009570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2581790
5-th percentile2924843.5
Q15170163
median13383951
Q320852881
95-th percentile31281543
Maximum32353402
Range29771612
Interquartile range (IQR)15682718

Descriptive statistics

Standard deviation9888637.8
Coefficient of variation (CV)0.7121307
Kurtosis-0.98242858
Mean13885987
Median Absolute Deviation (MAD)7906727
Skewness0.57101845
Sum4.304656 × 108
Variance9.7785157 × 1013
MonotonicityNot monotonic
2023-12-12T21:13:34.159547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
2581790.0 1
 
3.2%
2989232.0 1
 
3.2%
30347164.0 1
 
3.2%
26268191.57 1
 
3.2%
14623437.0 1
 
3.2%
18881336.0 1
 
3.2%
22328408.23 1
 
3.2%
16105283.0 1
 
3.2%
13383951.0 1
 
3.2%
15966035.0 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
2581790.0 1
3.2%
2860455.0 1
3.2%
2989232.0 1
3.2%
3152056.0 1
3.2%
3491789.0 1
3.2%
3998701.0 1
3.2%
4324910.0 1
3.2%
4863102.0 1
3.2%
5477224.0 1
3.2%
5690371.0 1
3.2%
ValueCountFrequency (%)
32353402.0 1
3.2%
31419366.0 1
3.2%
31143720.0 1
3.2%
30347164.0 1
3.2%
27072725.0 1
3.2%
26268191.57 1
3.2%
22328408.23 1
3.2%
20874871.0 1
3.2%
20830891.0 1
3.2%
18881336.0 1
3.2%

합계_단가
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.982581
Minimum16.26
Maximum100.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T21:13:34.321387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.26
5-th percentile17.17
Q124.09
median49.04
Q367.315
95-th percentile97.655
Maximum100.49
Range84.23
Interquartile range (IQR)43.225

Descriptive statistics

Standard deviation28.05288
Coefficient of variation (CV)0.56125313
Kurtosis-1.0221815
Mean49.982581
Median Absolute Deviation (MAD)24.14
Skewness0.4916325
Sum1549.46
Variance786.96408
MonotonicityNot monotonic
2023-12-12T21:13:34.464966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
18.84 1
 
3.2%
17.82 1
 
3.2%
82.68 1
 
3.2%
66.96 1
 
3.2%
42.1 1
 
3.2%
53.62 1
 
3.2%
65.37 1
 
3.2%
51.22 1
 
3.2%
40.03 1
 
3.2%
51.86 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
16.26 1
3.2%
16.52 1
3.2%
17.82 1
3.2%
18.84 1
3.2%
18.93 1
3.2%
19.47 1
3.2%
22.61 1
3.2%
23.28 1
3.2%
24.9 1
3.2%
26.75 1
3.2%
ValueCountFrequency (%)
100.49 1
3.2%
98.35 1
3.2%
96.96 1
3.2%
96.2 1
3.2%
92.74 1
3.2%
82.68 1
3.2%
75.41 1
3.2%
67.67 1
3.2%
66.96 1
3.2%
65.37 1
3.2%

Sample

휘발유_물량휘발유_금액휘발유_단가등유_물량등유_금액등유_단가경유_물량경유_금액경유_단가경질중유_물량경질중유_금액경질중유_단가벙커C유_물량벙커C유_금액벙커C유_단가납사_물량납사_금액납사_단가항공유_물량항공유_금액항공유_단가LPG_물량LPG_금액LPG_단가아스팔트_물량아스팔트_금액아스팔트_단가윤활유_물량윤활유_금액윤활유_단가합계_물량합계_금액합계_단가
01992<NA><NA><NA>8986.0243722.027.125781.0147166.025.46<NA><NA><NA>3427153242115.5447948105518422.01<NA><NA><NA>3963159399714.99395.0930023.55<NA><NA><NA>137012.02581790.018.84
11993<NA><NA><NA>16016.0427542.026.711226.0285211.025.41<NA><NA><NA>3262449632015.2162414117895018.89<NA><NA><NA>4547960120913.22<NA><NA><NA><NA><NA><NA>167759.02989232.017.82
21994<NA><NA><NA>17087.0416775.024.3917435.0386100.022.14<NA><NA><NA>3548652499514.7972167122409316.96<NA><NA><NA>4859559970512.3418.4438821.05<NA><NA><NA>190788.443152056.016.52
31995<NA><NA><NA>23361.0584251.025.0132190.0746144.023.18<NA><NA><NA>2482441105316.5671837135820518.91115.0354830.795310189550016.86<NA><NA><NA><NA><NA><NA>205428.03998701.019.47
41996<NA><NA><NA>27679.0880679.031.8218540.0529453.028.56<NA><NA><NA>2914355383019.080204174926921.814408.013269430.155149101717718.44<NA><NA><NA><NA><NA><NA>215123.04863102.022.61
51997<NA><NA><NA>15769.0468886.029.733134.081658.026.06<NA><NA><NA>2675752572919.6579326188522223.773582.011082630.9457230125202621.88<NA><NA><NA>14.2256339.58185812.224324910.023.28
61998215.04190.019.465103.0110754.021.72198.036581.016.65<NA><NA><NA>1292618492514.31105100178186016.951210.02655821.954914471558714.56<NA><NA><NA><NA><NA><NA>175896.02860455.016.26
71999390.09193.023.592687.067809.025.232311.055030.023.81<NA><NA><NA>1649726607916.13101119198136519.593828.07647819.9857659103583517.96<NA><NA><NA><NA><NA><NA>184491.03491789.018.93
82000740.026321.035.556870.0255490.037.192818.0102578.036.4<NA><NA><NA>2510768321327.21111283340334830.581696.06353937.4755763146601726.2924.1960825.15<NA><NA><NA>204301.196001114.029.37
920012108.062951.029.875310.0166736.031.46681.0205038.030.69<NA><NA><NA>2231855385724.82119738325215227.16339.0960028.3548062122061225.4201.0504025.0423.67123852.28204780.675477224.026.75
휘발유_물량휘발유_금액휘발유_단가등유_물량등유_금액등유_단가경유_물량경유_금액경유_단가경질중유_물량경질중유_금액경질중유_단가벙커C유_물량벙커C유_금액벙커C유_단가납사_물량납사_금액납사_단가항공유_물량항공유_금액항공유_단가LPG_물량LPG_금액LPG_단가아스팔트_물량아스팔트_금액아스팔트_단가윤활유_물량윤활유_금액윤활유_단가합계_물량합계_금액합계_단가
2120131718.0214110.0125.097.8312392.0127.08597.01093990.0127.0<NA><NA><NA>442814486866101.020829721445070103.017.493228185.065968509774677.28<NA><NA><NA><NA><NA><NA>328976.3232353402.098.35
222014<NA><NA><NA>133.016699.0126.05152.0631273.0123.0<NA><NA><NA>52006496699595.5120572620939788102.06.271106176.063533485564076.43<NA><NA><NA>42.747865184.0326599.0131419366.096.2
232015387.033219.085.9110.671333.0125.0267.020126.075.43<NA><NA><NA>46737224231847.981976171102293355.784.14623150.062712262960741.9331.11172255.34104.014154136.0307869.9215966035.051.86
2420161391.089259.064.1517.78848.047.67198.010987.055.39<NA><NA><NA>47228179315537.97202224891695344.096.54971148.083271256906230.85<NA><NA><NA>24.072716113.0334360.3913383951.040.03
2520171127.074832.066.3936.572297.062.79236.016207.068.8<NA><NA><NA>40091218960354.621996321081193954.163.07476155.073279300992941.07<NA><NA><NA><NA><NA><NA>314404.6416105283.051.22
262018174.016098.092.420.7144.2362.5237.020523.086.61<NA><NA><NA>42915303413470.72188141544507470.592.6454175.079325380747948.064.89341952.6911.211183106.0341544.4122328408.2365.37
272019130.013031.0100.035.312927.082.88138.011007.079.98<NA><NA><NA>31585210579866.672260881321709858.463.32539162.094093352723537.49<NA><NA><NA>34.573701107.0352107.218881336.053.62
2820200.1472.4506.080.253030.037.7619.05744.039.03<NA><NA><NA>29626150818750.91215878978287945.324.78721151.0101165329598532.58430.01845442.89165.01336581.21347368.014623437.042.1
292021299.025107.084.02216.016929.078.480.1111.57104.0<NA><NA><NA>37239259165669.62533131801685271.125.39980182.096898524210654.13353.023407669.82993.0140474142.0392316.526268191.5766.96
30202285.5112896.0151.037.723427.090.85300.034025.0113.0<NA><NA><NA>20800191721492.172366082098662188.72.47549223.0107072708359266.16551.04637884.131605.0262462164.0367061.730347164.082.68