Overview

Dataset statistics

Number of variables14
Number of observations6264
Missing cells0
Missing cells (%)0.0%
Duplicate rows445
Duplicate rows (%)7.1%
Total size in memory764.8 KiB
Average record size in memory125.0 B

Variable types

Categorical2
Numeric12

Dataset

Description한국동서발전의 2020년 월간 소내전력량 예측값 정보입니다. 연도, 발전기명, 1월~ 12월(kWh)의 항목으로 구성됩니다.
Author한국동서발전(주)
URLhttps://www.data.go.kr/data/15089026/fileData.do

Alerts

연도 has constant value ""Constant
Dataset has 445 (7.1%) duplicate rowsDuplicates
1월(kWh) is highly overall correlated with 2월(kWh) and 9 other fieldsHigh correlation
2월(kWh) is highly overall correlated with 1월(kWh) and 9 other fieldsHigh correlation
3월(kWh) is highly overall correlated with 1월(kWh) and 8 other fieldsHigh correlation
4월(kWh) is highly overall correlated with 3월(kWh) and 4 other fieldsHigh correlation
5월(kWh) is highly overall correlated with 4월(kWh) and 2 other fieldsHigh correlation
6월(kWh) is highly overall correlated with 1월(kWh) and 10 other fieldsHigh correlation
7월(kWh) is highly overall correlated with 1월(kWh) and 10 other fieldsHigh correlation
8월(kWh) is highly overall correlated with 1월(kWh) and 9 other fieldsHigh correlation
9월(kWh) is highly overall correlated with 1월(kWh) and 8 other fieldsHigh correlation
10월(kWh) is highly overall correlated with 1월(kWh) and 7 other fieldsHigh correlation
11월(kWh) is highly overall correlated with 1월(kWh) and 8 other fieldsHigh correlation
12월(kWh) is highly overall correlated with 1월(kWh) and 8 other fieldsHigh correlation
발전기명 is highly overall correlated with 1월(kWh) and 1 other fieldsHigh correlation
1월(kWh) has 770 (12.3%) zerosZeros
2월(kWh) has 576 (9.2%) zerosZeros
3월(kWh) has 1130 (18.0%) zerosZeros
4월(kWh) has 1100 (17.6%) zerosZeros
5월(kWh) has 1340 (21.4%) zerosZeros
6월(kWh) has 954 (15.2%) zerosZeros
7월(kWh) has 665 (10.6%) zerosZeros
8월(kWh) has 612 (9.8%) zerosZeros
9월(kWh) has 879 (14.0%) zerosZeros
10월(kWh) has 1595 (25.5%) zerosZeros
11월(kWh) has 1241 (19.8%) zerosZeros
12월(kWh) has 938 (15.0%) zerosZeros

Reproduction

Analysis started2023-12-12 04:25:13.539238
Analysis finished2023-12-12 04:25:34.911112
Duration21.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size49.1 KiB
2020
6264 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2020
5th row2020

Common Values

ValueCountFrequency (%)
2020 6264
100.0%

Length

2023-12-12T13:25:34.975882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:25:35.094542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 6264
100.0%

발전기명
Categorical

HIGH CORRELATION 

Distinct28
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size49.1 KiB
동해#1
 
325
당진#5
 
325
동해#2
 
325
호남#2
 
325
호남#1
 
325
Other values (23)
4639 

Length

Max length9
Median length4
Mean length4.8850575
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row동해#1
2nd row동해#2
3rd row당진#8
4th row당진#9
5th row당진#1

Common Values

ValueCountFrequency (%)
동해#1 325
 
5.2%
당진#5 325
 
5.2%
동해#2 325
 
5.2%
호남#2 325
 
5.2%
호남#1 325
 
5.2%
당진#10 325
 
5.2%
당진#6 325
 
5.2%
당진#7 325
 
5.2%
당진#4 325
 
5.2%
당진#3 325
 
5.2%
Other values (18) 3014
48.1%

Length

2023-12-12T13:25:35.209709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
동해#1 325
 
5.2%
당진#5 325
 
5.2%
동해#2 325
 
5.2%
호남#2 325
 
5.2%
호남#1 325
 
5.2%
당진#10 325
 
5.2%
당진#6 325
 
5.2%
당진#7 325
 
5.2%
당진#4 325
 
5.2%
당진#3 325
 
5.2%
Other values (18) 3014
48.1%

1월(kWh)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct2929
Distinct (%)46.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13054.159
Minimum0
Maximum37939.16
Zeros770
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size55.2 KiB
2023-12-12T13:25:35.347187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110311.302
median14443.683
Q316342.761
95-th percentile28375.328
Maximum37939.16
Range37939.16
Interquartile range (IQR)6031.4585

Descriptive statistics

Standard deviation8088.7558
Coefficient of variation (CV)0.61963058
Kurtosis0.70030502
Mean13054.159
Median Absolute Deviation (MAD)2552.386
Skewness0.26205705
Sum81771249
Variance65427970
MonotonicityNot monotonic
2023-12-12T13:25:35.483979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 770
 
12.3%
37652.584 46
 
0.7%
14706.871 40
 
0.6%
14924.042 40
 
0.6%
16322.389 34
 
0.5%
28448.725 31
 
0.5%
16866.051 29
 
0.5%
33222.778 29
 
0.5%
16342.761 29
 
0.5%
13628.746 29
 
0.5%
Other values (2919) 5187
82.8%
ValueCountFrequency (%)
0.0 770
12.3%
9.422 1
 
< 0.1%
11.575 2
 
< 0.1%
11.785 2
 
< 0.1%
14.113 1
 
< 0.1%
15.425 2
 
< 0.1%
16.862 2
 
< 0.1%
19.788 7
 
0.1%
20.558 2
 
< 0.1%
27.99 1
 
< 0.1%
ValueCountFrequency (%)
37939.16 2
 
< 0.1%
37652.584 46
0.7%
37646.984 2
 
< 0.1%
37637.781 2
 
< 0.1%
37635.063 2
 
< 0.1%
37539.99 2
 
< 0.1%
37525.08 2
 
< 0.1%
37519.806 2
 
< 0.1%
37510.471 4
 
0.1%
37396.833 2
 
< 0.1%

2월(kWh)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct2547
Distinct (%)40.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12026.983
Minimum0
Maximum35538.404
Zeros576
Zeros (%)9.2%
Negative0
Negative (%)0.0%
Memory size55.2 KiB
2023-12-12T13:25:35.632160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18872.363
median12581.104
Q315224.365
95-th percentile26613.324
Maximum35538.404
Range35538.404
Interquartile range (IQR)6352.0025

Descriptive statistics

Standard deviation7524.214
Coefficient of variation (CV)0.62561111
Kurtosis0.74882839
Mean12026.983
Median Absolute Deviation (MAD)2926.766
Skewness0.38258913
Sum75337020
Variance56613797
MonotonicityNot monotonic
2023-12-12T13:25:35.798338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 576
 
9.2%
20733.211 76
 
1.2%
13758.04 40
 
0.6%
13961.201 40
 
0.6%
14205.69 38
 
0.6%
14430.863 38
 
0.6%
15094.587 37
 
0.6%
15365.856 37
 
0.6%
12479.715 37
 
0.6%
12065.242 36
 
0.6%
Other values (2537) 5309
84.8%
ValueCountFrequency (%)
0.0 576
9.2%
13.056 10
 
0.2%
21.477 1
 
< 0.1%
26.649 2
 
< 0.1%
28.025 1
 
< 0.1%
31.984 2
 
< 0.1%
41.204 1
 
< 0.1%
50.655 1
 
< 0.1%
57.235 1
 
< 0.1%
60.18 1
 
< 0.1%
ValueCountFrequency (%)
35538.404 2
 
< 0.1%
35223.385 34
0.5%
35221.888 4
 
0.1%
35221.862 2
 
< 0.1%
35178.19 2
 
< 0.1%
35140.001 2
 
< 0.1%
35120.268 8
 
0.1%
35104.107 2
 
< 0.1%
35090.136 2
 
< 0.1%
35017.341 4
 
0.1%

3월(kWh)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct2762
Distinct (%)44.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11167.553
Minimum0
Maximum37989.328
Zeros1130
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size55.2 KiB
2023-12-12T13:25:36.003287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12515.782
median12500.484
Q316137.83
95-th percentile27387.843
Maximum37989.328
Range37989.328
Interquartile range (IQR)13622.048

Descriptive statistics

Standard deviation8421.2046
Coefficient of variation (CV)0.75407789
Kurtosis0.21252693
Mean11167.553
Median Absolute Deviation (MAD)4773.347
Skewness0.4797912
Sum69953550
Variance70916686
MonotonicityNot monotonic
2023-12-12T13:25:36.564359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1130
 
18.0%
17207.371 37
 
0.6%
13629.758 37
 
0.6%
16567.99 37
 
0.6%
15655.158 33
 
0.5%
28687.009 31
 
0.5%
28784.729 29
 
0.5%
33499.035 29
 
0.5%
17255.853 29
 
0.5%
15621.389 28
 
0.4%
Other values (2752) 4844
77.3%
ValueCountFrequency (%)
0.0 1130
18.0%
15.707 4
 
0.1%
18.467 2
 
< 0.1%
18.756 2
 
< 0.1%
19.788 1
 
< 0.1%
20.314 2
 
< 0.1%
20.392 1
 
< 0.1%
20.501 1
 
< 0.1%
20.786 1
 
< 0.1%
20.984 1
 
< 0.1%
ValueCountFrequency (%)
37989.328 1
 
< 0.1%
37720.91 1
 
< 0.1%
37652.584 14
0.2%
37651.787 1
 
< 0.1%
37650.596 1
 
< 0.1%
37636.106 2
 
< 0.1%
37613.353 1
 
< 0.1%
37611.717 2
 
< 0.1%
37601.289 2
 
< 0.1%
37525.08 1
 
< 0.1%

4월(kWh)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3252
Distinct (%)51.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10288.49
Minimum0
Maximum36761.359
Zeros1100
Zeros (%)17.6%
Negative0
Negative (%)0.0%
Memory size55.2 KiB
2023-12-12T13:25:36.748513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11942.559
median11643.142
Q315246.315
95-th percentile21395.905
Maximum36761.359
Range36761.359
Interquartile range (IQR)13303.756

Descriptive statistics

Standard deviation7961.5327
Coefficient of variation (CV)0.77382908
Kurtosis0.37196062
Mean10288.49
Median Absolute Deviation (MAD)4847.7895
Skewness0.51959339
Sum64447102
Variance63386004
MonotonicityNot monotonic
2023-12-12T13:25:36.953055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1100
 
17.6%
997.129 31
 
0.5%
9892.843 29
 
0.5%
1163.788 29
 
0.5%
15117.473 28
 
0.4%
14015.881 20
 
0.3%
9060.453 20
 
0.3%
17159.785 19
 
0.3%
17150.532 19
 
0.3%
15563.245 18
 
0.3%
Other values (3242) 4951
79.0%
ValueCountFrequency (%)
0.0 1100
17.6%
12.494 1
 
< 0.1%
16.253 1
 
< 0.1%
19.42 4
 
0.1%
31.043 1
 
< 0.1%
40.302 1
 
< 0.1%
46.325 1
 
< 0.1%
49.863 1
 
< 0.1%
55.965 1
 
< 0.1%
56.499 1
 
< 0.1%
ValueCountFrequency (%)
36761.359 1
 
< 0.1%
36437.984 15
0.2%
36387.37 2
 
< 0.1%
36377.213 1
 
< 0.1%
36340.693 2
 
< 0.1%
36316.533 1
 
< 0.1%
36314.593 1
 
< 0.1%
36310.117 2
 
< 0.1%
36248.309 1
 
< 0.1%
36206.627 4
 
0.1%

5월(kWh)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3395
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10185.918
Minimum0
Maximum37984.161
Zeros1340
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size55.2 KiB
2023-12-12T13:25:37.133559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12006.256
median10828.121
Q315435.731
95-th percentile22915.897
Maximum37984.161
Range37984.161
Interquartile range (IQR)13429.475

Descriptive statistics

Standard deviation8411.7648
Coefficient of variation (CV)0.82582294
Kurtosis0.73106614
Mean10185.918
Median Absolute Deviation (MAD)5660.63
Skewness0.74245037
Sum63804591
Variance70757787
MonotonicityNot monotonic
2023-12-12T13:25:37.328659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1340
 
21.4%
15621.389 28
 
0.4%
14483.077 20
 
0.3%
6863.914 19
 
0.3%
18584.476 19
 
0.3%
16082.02 18
 
0.3%
37652.584 14
 
0.2%
4228.211 14
 
0.2%
14888.898 13
 
0.2%
19107.708 13
 
0.2%
Other values (3385) 4766
76.1%
ValueCountFrequency (%)
0.0 1340
21.4%
5.262 1
 
< 0.1%
16.388 1
 
< 0.1%
20.558 2
 
< 0.1%
21.651 1
 
< 0.1%
26.308 1
 
< 0.1%
32.805 1
 
< 0.1%
33.601 1
 
< 0.1%
39.577 4
 
0.1%
40.372 1
 
< 0.1%
ValueCountFrequency (%)
37984.161 2
 
< 0.1%
37652.584 14
0.2%
37647.811 2
 
< 0.1%
37645.903 2
 
< 0.1%
37645.241 2
 
< 0.1%
37645.02 8
0.1%
37599.121 2
 
< 0.1%
37589.411 2
 
< 0.1%
37588.19 2
 
< 0.1%
37546.244 2
 
< 0.1%

6월(kWh)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3954
Distinct (%)63.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11547.194
Minimum0
Maximum36667.255
Zeros954
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size55.2 KiB
2023-12-12T13:25:37.541249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16853.266
median12917.826
Q315471.969
95-th percentile21416.741
Maximum36667.255
Range36667.255
Interquartile range (IQR)8618.703

Descriptive statistics

Standard deviation7494.4336
Coefficient of variation (CV)0.64902639
Kurtosis0.75083496
Mean11547.194
Median Absolute Deviation (MAD)3778.974
Skewness0.28818249
Sum72331623
Variance56166536
MonotonicityNot monotonic
2023-12-12T13:25:37.762041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 954
 
15.2%
15117.473 28
 
0.4%
18120.905 20
 
0.3%
9126.934 19
 
0.3%
17984.977 19
 
0.3%
14015.881 19
 
0.3%
5719.928 18
 
0.3%
8306.47 15
 
0.2%
15563.245 14
 
0.2%
18507.726 13
 
0.2%
Other values (3944) 5145
82.1%
ValueCountFrequency (%)
0.0 954
15.2%
5.262 1
 
< 0.1%
10.007 2
 
< 0.1%
17.939 2
 
< 0.1%
19.788 2
 
< 0.1%
20.107 1
 
< 0.1%
26.538 1
 
< 0.1%
34.349 1
 
< 0.1%
35.136 2
 
< 0.1%
36.392 1
 
< 0.1%
ValueCountFrequency (%)
36667.255 2
 
< 0.1%
36437.984 2
 
< 0.1%
36436.086 4
0.1%
36435.294 4
0.1%
36433.568 2
 
< 0.1%
36433.043 2
 
< 0.1%
36432.875 8
0.1%
36432.87 2
 
< 0.1%
36432.122 2
 
< 0.1%
36420.116 2
 
< 0.1%

7월(kWh)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct4154
Distinct (%)66.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13126.829
Minimum0
Maximum38672.847
Zeros665
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size55.2 KiB
2023-12-12T13:25:37.944280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19595.0995
median14483.077
Q317461.242
95-th percentile28016.982
Maximum38672.847
Range38672.847
Interquartile range (IQR)7866.1427

Descriptive statistics

Standard deviation8035.3668
Coefficient of variation (CV)0.61213313
Kurtosis0.97520067
Mean13126.829
Median Absolute Deviation (MAD)3308.904
Skewness0.30479809
Sum82226455
Variance64567119
MonotonicityNot monotonic
2023-12-12T13:25:38.153189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 665
 
10.6%
14924.042 32
 
0.5%
15621.389 28
 
0.4%
14449.697 23
 
0.4%
37652.584 22
 
0.4%
18724.935 20
 
0.3%
1351.352 19
 
0.3%
14483.077 19
 
0.3%
1273.224 19
 
0.3%
17731.778 19
 
0.3%
Other values (4144) 5398
86.2%
ValueCountFrequency (%)
0.0 665
10.6%
5.769 1
 
< 0.1%
5.812 1
 
< 0.1%
6.275 1
 
< 0.1%
6.429 3
 
< 0.1%
6.563 2
 
< 0.1%
6.811 1
 
< 0.1%
7.193 2
 
< 0.1%
15.047 1
 
< 0.1%
18.23 1
 
< 0.1%
ValueCountFrequency (%)
38672.847 2
< 0.1%
38170.668 2
< 0.1%
38075.499 2
< 0.1%
37967.469 2
< 0.1%
37789.149 1
< 0.1%
37784.798 2
< 0.1%
37779.703 1
< 0.1%
37779.455 2
< 0.1%
37779.095 1
< 0.1%
37779.028 1
< 0.1%

8월(kWh)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct4176
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12626.393
Minimum0
Maximum38782.161
Zeros612
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size55.2 KiB
2023-12-12T13:25:38.355087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15425.936
median14008.461
Q317184.045
95-th percentile32352.474
Maximum38782.161
Range38782.161
Interquartile range (IQR)11758.109

Descriptive statistics

Standard deviation8630.6559
Coefficient of variation (CV)0.68354089
Kurtosis0.52113716
Mean12626.393
Median Absolute Deviation (MAD)3869.3725
Skewness0.45639722
Sum79091726
Variance74488222
MonotonicityNot monotonic
2023-12-12T13:25:38.516935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 612
 
9.8%
15621.389 28
 
0.4%
37652.584 26
 
0.4%
1555.513 23
 
0.4%
1351.352 20
 
0.3%
1203.918 20
 
0.3%
1273.224 20
 
0.3%
14449.697 20
 
0.3%
18584.476 19
 
0.3%
17731.778 19
 
0.3%
Other values (4166) 5457
87.1%
ValueCountFrequency (%)
0.0 612
9.8%
9.752 1
 
< 0.1%
14.409 2
 
< 0.1%
17.479 1
 
< 0.1%
18.887 1
 
< 0.1%
19.694 1
 
< 0.1%
22.793 1
 
< 0.1%
31.426 1
 
< 0.1%
33.098 1
 
< 0.1%
35.996 1
 
< 0.1%
ValueCountFrequency (%)
38782.161 2
< 0.1%
38305.436 4
0.1%
37989.328 2
< 0.1%
37789.81 1
 
< 0.1%
37789.695 4
0.1%
37783.682 1
 
< 0.1%
37780.832 1
 
< 0.1%
37780.229 1
 
< 0.1%
37778.533 1
 
< 0.1%
37778.366 1
 
< 0.1%

9월(kWh)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct4042
Distinct (%)64.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10541.743
Minimum0
Maximum37531.124
Zeros879
Zeros (%)14.0%
Negative0
Negative (%)0.0%
Memory size55.2 KiB
2023-12-12T13:25:38.683743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12019.5305
median11627.596
Q315468.075
95-th percentile27464.923
Maximum37531.124
Range37531.124
Interquartile range (IQR)13448.544

Descriptive statistics

Standard deviation8432.5772
Coefficient of variation (CV)0.79992251
Kurtosis0.4352961
Mean10541.743
Median Absolute Deviation (MAD)5801.9165
Skewness0.66995818
Sum66033476
Variance71108359
MonotonicityNot monotonic
2023-12-12T13:25:38.828994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 879
 
14.0%
1712.153 28
 
0.4%
15117.473 28
 
0.4%
18120.905 20
 
0.3%
17984.977 20
 
0.3%
1868.784 19
 
0.3%
17159.785 19
 
0.3%
15563.245 18
 
0.3%
13751.841 15
 
0.2%
18507.726 13
 
0.2%
Other values (4032) 5205
83.1%
ValueCountFrequency (%)
0.0 879
14.0%
9.433 1
 
< 0.1%
15.867 3
 
< 0.1%
29.037 1
 
< 0.1%
36.394 1
 
< 0.1%
36.856 1
 
< 0.1%
37.013 1
 
< 0.1%
38.723 1
 
< 0.1%
38.73 1
 
< 0.1%
39.172 1
 
< 0.1%
ValueCountFrequency (%)
37531.124 1
 
< 0.1%
37069.777 1
 
< 0.1%
37010.788 1
 
< 0.1%
36677.585 2
< 0.1%
36567.706 1
 
< 0.1%
36566.993 4
0.1%
36564.307 1
 
< 0.1%
36548.823 1
 
< 0.1%
36548.684 1
 
< 0.1%
36542.625 1
 
< 0.1%

10월(kWh)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3472
Distinct (%)55.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10065.699
Minimum0
Maximum37882.262
Zeros1595
Zeros (%)25.5%
Negative0
Negative (%)0.0%
Memory size55.2 KiB
2023-12-12T13:25:38.978275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10209.64
Q315986.857
95-th percentile29000.375
Maximum37882.262
Range37882.262
Interquartile range (IQR)15986.857

Descriptive statistics

Standard deviation9170.7354
Coefficient of variation (CV)0.91108782
Kurtosis0.11002482
Mean10065.699
Median Absolute Deviation (MAD)7560.6715
Skewness0.71236978
Sum63051536
Variance84102387
MonotonicityNot monotonic
2023-12-12T13:25:39.178272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1595
 
25.5%
1712.153 38
 
0.6%
15621.389 24
 
0.4%
802.787 19
 
0.3%
7506.931 19
 
0.3%
18724.935 16
 
0.3%
18584.476 16
 
0.3%
17731.778 15
 
0.2%
16082.02 14
 
0.2%
6188.787 13
 
0.2%
Other values (3462) 4495
71.8%
ValueCountFrequency (%)
0.0 1595
25.5%
5.093 1
 
< 0.1%
5.274 1
 
< 0.1%
8.47 1
 
< 0.1%
9.113 1
 
< 0.1%
12.351 1
 
< 0.1%
12.387 1
 
< 0.1%
13.543 1
 
< 0.1%
13.668 1
 
< 0.1%
14.14 1
 
< 0.1%
ValueCountFrequency (%)
37882.262 1
 
< 0.1%
37782.652 1
 
< 0.1%
37781.037 4
0.1%
37779.754 1
 
< 0.1%
37762.968 1
 
< 0.1%
37760.791 1
 
< 0.1%
37750.836 1
 
< 0.1%
37740.275 1
 
< 0.1%
37734.835 1
 
< 0.1%
37713.896 3
< 0.1%

11월(kWh)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3801
Distinct (%)60.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10580.724
Minimum0
Maximum36755.087
Zeros1241
Zeros (%)19.8%
Negative0
Negative (%)0.0%
Memory size55.2 KiB
2023-12-12T13:25:39.339153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11006.8117
median12392.018
Q316073.225
95-th percentile28803.011
Maximum36755.087
Range36755.087
Interquartile range (IQR)15066.413

Descriptive statistics

Standard deviation8991.1529
Coefficient of variation (CV)0.84976723
Kurtosis0.012001768
Mean10580.724
Median Absolute Deviation (MAD)5738.024
Skewness0.5813925
Sum66277658
Variance80840830
MonotonicityNot monotonic
2023-12-12T13:25:39.503917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1241
 
19.8%
15117.473 28
 
0.4%
428.038 22
 
0.4%
17984.977 19
 
0.3%
17159.785 19
 
0.3%
18120.905 19
 
0.3%
14015.881 19
 
0.3%
15563.245 18
 
0.3%
13983.578 18
 
0.3%
18507.726 13
 
0.2%
Other values (3791) 4848
77.4%
ValueCountFrequency (%)
0.0 1241
19.8%
5.274 2
 
< 0.1%
5.55 1
 
< 0.1%
5.949 2
 
< 0.1%
7.231 3
 
< 0.1%
9.625 3
 
< 0.1%
13.196 1
 
< 0.1%
16.296 1
 
< 0.1%
20.208 1
 
< 0.1%
20.301 1
 
< 0.1%
ValueCountFrequency (%)
36755.087 1
 
< 0.1%
36565.119 1
 
< 0.1%
36564.715 4
0.1%
36437.984 9
0.1%
36431.831 1
 
< 0.1%
36430.139 1
 
< 0.1%
36429.711 1
 
< 0.1%
36429.413 4
0.1%
36425.455 1
 
< 0.1%
36424.112 1
 
< 0.1%

12월(kWh)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3602
Distinct (%)57.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12141.762
Minimum0
Maximum37989.328
Zeros938
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size55.2 KiB
2023-12-12T13:25:39.700955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13559.974
median13584.807
Q316433.429
95-th percentile28480.295
Maximum37989.328
Range37989.328
Interquartile range (IQR)12873.455

Descriptive statistics

Standard deviation8611.63
Coefficient of variation (CV)0.70925704
Kurtosis0.30693376
Mean12141.762
Median Absolute Deviation (MAD)4002.314
Skewness0.3870713
Sum76055996
Variance74160172
MonotonicityNot monotonic
2023-12-12T13:25:39.852033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 938
 
15.0%
37652.584 36
 
0.6%
15906.372 35
 
0.6%
28752.641 30
 
0.5%
15806.652 28
 
0.4%
14483.077 25
 
0.4%
28480.295 21
 
0.3%
13768.113 21
 
0.3%
17731.778 19
 
0.3%
18724.935 19
 
0.3%
Other values (3592) 5092
81.3%
ValueCountFrequency (%)
0.0 938
15.0%
2.71 1
 
< 0.1%
5.093 1
 
< 0.1%
5.274 2
 
< 0.1%
12.07 1
 
< 0.1%
15.346 1
 
< 0.1%
16.004 1
 
< 0.1%
18.675 1
 
< 0.1%
22.695 1
 
< 0.1%
23.46 2
 
< 0.1%
ValueCountFrequency (%)
37989.328 2
 
< 0.1%
37790.219 5
 
0.1%
37652.584 36
0.6%
37652.057 4
 
0.1%
37631.015 2
 
< 0.1%
37617.961 2
 
< 0.1%
37582.166 8
 
0.1%
37525.08 2
 
< 0.1%
37513.561 2
 
< 0.1%
37508.144 4
 
0.1%

Interactions

2023-12-12T13:25:33.167424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:16.509580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:17.597523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:18.622450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:19.813392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:21.181398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:23.382560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:25.134254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:26.839166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:28.170604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:29.618874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:31.328279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:33.319036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:16.603249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:17.683098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:18.712685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:19.910900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:21.310688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:23.523219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:25.301209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:26.964877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:28.258748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:29.745085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:31.483316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:33.438593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:16.696103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:17.772605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:18.802393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:20.008791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:21.471267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:23.658780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:25.444063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:27.091148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:28.345820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:29.868203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:31.607186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:33.550566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:16.798687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:17.861654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:18.896704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:20.108281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:21.620905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:23.825650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:25.568319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:27.211315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:28.431538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:30.005523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:31.797952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:33.656577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:16.896367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:17.945449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:18.997414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:20.215341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:21.770105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:23.966789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:25.691185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:27.342548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:28.530676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:30.124733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:31.962303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:33.790389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:17.006560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:18.032171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:19.091166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:20.338348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:21.918013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:24.100919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:25.841762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:27.467772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:28.623171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:30.273322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:32.124039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:33.894743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:17.095500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:18.114197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:19.225856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:20.443926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:22.419759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:24.210835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:26.008204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:27.580800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:28.717460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:30.466449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:32.283342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:34.046809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:17.189080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:18.202169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:19.340963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:20.580476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:22.584426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:24.371938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:26.143781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:27.687071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:28.812111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:30.608286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:32.435424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:34.184927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:17.274292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:18.289329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:19.436630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:20.694829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:22.748289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:24.535381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:26.299957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:27.790211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:28.912568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:30.756788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:32.575160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:34.309566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:17.356487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:18.371753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:19.526187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:20.803061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:22.911171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:24.674495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:26.438623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:27.883802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:29.013020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:30.914645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:32.714363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:34.416460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:17.438274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:18.453949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:19.620656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:20.907470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:23.079666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:24.798939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:26.581218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:27.978810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:29.395927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:31.044972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:32.865150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:34.524389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:17.516685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:18.538137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:19.719870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:21.047133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:23.242377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:24.947370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:26.709894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:28.073416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:29.495829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:31.198535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:25:33.016052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:25:39.957607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발전기명1월(kWh)2월(kWh)3월(kWh)4월(kWh)5월(kWh)6월(kWh)7월(kWh)8월(kWh)9월(kWh)10월(kWh)11월(kWh)12월(kWh)
발전기명1.0000.8560.8460.8430.8160.7980.8190.8350.8110.7810.8150.8160.823
1월(kWh)0.8561.0000.9890.9670.9200.9200.9300.9440.9550.9330.9130.9520.976
2월(kWh)0.8460.9891.0000.9780.9130.9160.9270.9190.9350.9220.9080.9330.975
3월(kWh)0.8430.9670.9781.0000.9370.9050.8990.8930.9250.9090.8990.9220.961
4월(kWh)0.8160.9200.9130.9371.0000.9670.9300.8890.9240.8850.8680.9040.910
5월(kWh)0.7980.9200.9160.9050.9671.0000.9550.8950.9270.8730.8520.9070.913
6월(kWh)0.8190.9300.9270.8990.9300.9551.0000.9400.9350.8850.8730.9140.922
7월(kWh)0.8350.9440.9190.8930.8890.8950.9401.0000.9770.9230.9050.9370.928
8월(kWh)0.8110.9550.9350.9250.9240.9270.9350.9771.0000.9660.9440.9630.947
9월(kWh)0.7810.9330.9220.9090.8850.8730.8850.9230.9661.0000.9620.9550.939
10월(kWh)0.8150.9130.9080.8990.8680.8520.8730.9050.9440.9621.0000.9660.925
11월(kWh)0.8160.9520.9330.9220.9040.9070.9140.9370.9630.9550.9661.0000.951
12월(kWh)0.8230.9760.9750.9610.9100.9130.9220.9280.9470.9390.9250.9511.000
2023-12-12T13:25:40.098673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
1월(kWh)2월(kWh)3월(kWh)4월(kWh)5월(kWh)6월(kWh)7월(kWh)8월(kWh)9월(kWh)10월(kWh)11월(kWh)12월(kWh)발전기명
1월(kWh)1.0000.8750.6190.4060.4320.5780.7470.7510.5820.5570.5920.8140.521
2월(kWh)0.8751.0000.7500.4600.4440.5680.6940.7180.5590.5120.5540.7510.504
3월(kWh)0.6190.7501.0000.6140.4410.5540.6290.6770.5310.4970.5480.6220.499
4월(kWh)0.4060.4600.6141.0000.7690.7020.5730.5440.4040.3470.4160.3860.460
5월(kWh)0.4320.4440.4410.7691.0000.7590.5390.4920.3550.3010.3710.3980.437
6월(kWh)0.5780.5680.5540.7020.7591.0000.8030.7170.5280.5110.5690.5340.464
7월(kWh)0.7470.6940.6290.5730.5390.8031.0000.9060.6610.6410.6810.6820.487
8월(kWh)0.7510.7180.6770.5440.4920.7170.9061.0000.7900.7540.7830.7610.453
9월(kWh)0.5820.5590.5310.4040.3550.5280.6610.7901.0000.8620.8000.6900.417
10월(kWh)0.5570.5120.4970.3470.3010.5110.6410.7540.8621.0000.8550.6630.459
11월(kWh)0.5920.5540.5480.4160.3710.5690.6810.7830.8000.8551.0000.7400.460
12월(kWh)0.8140.7510.6220.3860.3980.5340.6820.7610.6900.6630.7401.0000.469
발전기명0.5210.5040.4990.4600.4370.4640.4870.4530.4170.4590.4600.4691.000

Missing values

2023-12-12T13:25:34.660990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:25:34.834053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연도발전기명1월(kWh)2월(kWh)3월(kWh)4월(kWh)5월(kWh)6월(kWh)7월(kWh)8월(kWh)9월(kWh)10월(kWh)11월(kWh)12월(kWh)
02020동해#113330.18412518.70213382.06112950.38213382.06112894.18213291.27613295.612859.59713382.06112950.38212316.034
12020동해#212859.86712062.47412894.36912478.42112894.36912441.04512833.99212836.86712412.29412894.36912478.42111903.337
22020당진#814614.56113959.34814923.314442.62114528.59814055.89114924.04214911.04613887.97911984.24912580.27714924.042
32020당진#99690.37218509.47920844.25720981.85119707.93316925.67721520.26418584.70116410.29110209.43415065.0150.0
42020당진#115001.88513809.50917566.68317031.16112380.39914464.90117600.13511373.78613398.9735651.68112074.81617583.161
52020당진#213155.73112775.14114945.5214491.51512819.96212428.44814978.09911276.46411688.3365031.25410635.82714960.243
62020당진#312996.1411257.08412418.67212775.8850.08533.09815413.2327303.73811488.7974094.588063.23515379.096
72020당진#412650.23511000.9979869.3520.07170.58710730.32214959.1696703.9211410.9773880.3997404.34615379.452
82020당진#517730.31617858.69919094.61318481.62517367.17716694.32119097.67918257.88317036.54114654.25815420.78719097.679
92020당진#614153.82813517.45914449.69713983.57814073.05813131.29914449.69714435.16613275.58811722.99612187.16414449.697
연도발전기명1월(kWh)2월(kWh)3월(kWh)4월(kWh)5월(kWh)6월(kWh)7월(kWh)8월(kWh)9월(kWh)10월(kWh)11월(kWh)12월(kWh)
62542020당진#712796.31611924.1024751.59213057.5058316.2296453.26112551.66311857.93111808.8343590.8911082.57112895.24
62552020당진#815662.3811874.7740.06794.0337019.514930.09814792.914157.58313869.84613878.93114564.9115132.427
62562020당진#927244.48725430.46327120.249894.5430.07988.42928414.6727491.65627957.33628520.42527805.727479.364
62572020당진#1027334.55225508.89427198.07328833.35430682.34724902.84516886.50327521.99428202.80328750.69428052.74927595.238
62582020호남#115153.5139268.6149231.83115148.62815169.69714002.18813991.85613643.42512916.23214030.19114006.55314689.473
62592020호남#213561.02912701.7767862.12314000.66513783.2112446.20312170.49211862.86711086.66912462.29813001.4613153.514
62602020울산복합CC#23217.5551787.0282286.8270.00.00.02218.1943185.181596.2860.00.0502.396
62612020울산복합CC#32874.4251824.242714.8662116.4750.0974.5161950.9992891.654522.993527.6670.0512.484
62622020신울산복합CC#116518.25616000.55817076.6995564.7760.00.07004.84415645.89313968.15115550.03616281.23416907.82
62632020당진복합CC#510148.02713154.94214247.44110339.82411830.8512680.46410253.7310139.94611960.1796356.1256382.74613929.923

Duplicate rows

Most frequently occurring

연도발전기명1월(kWh)2월(kWh)3월(kWh)4월(kWh)5월(kWh)6월(kWh)7월(kWh)8월(kWh)9월(kWh)10월(kWh)11월(kWh)12월(kWh)# duplicates
1722020당진#617731.77816587.79317731.77817159.7856863.9145719.92817731.77817731.77817159.78517731.77817159.78517731.77815
2672020당진에코GT#215621.38914613.55715621.38915117.47315621.38915117.47315621.38915621.38915117.47315621.38915117.47310582.23113
2012020당진#718724.93517516.87518724.9359060.4534228.21118120.90518724.93518724.93518120.90518724.93518120.90518724.93511
2152020당진#814483.07713548.68414483.07714015.88114483.07714015.88114483.07714483.0771868.7848331.66214015.88114483.07711
2032020당진#719124.6517890.80219124.659253.8634215.64918507.72619124.6519124.6518507.72619124.6518507.72619124.659
2692020당진에코GT#216082.0215044.4716082.0215563.24516082.0215563.24516082.0216082.0215563.24516082.0215563.24510894.2719
1392020당진#518584.47617385.4788992.4893497.07918584.47617984.97718584.47618584.47617984.97718584.47617984.97718584.4766
2142020당진#814483.07713548.68414483.07714015.88114483.07714015.88114483.07714483.0771868.7848312.19614015.88114483.0776
4012020울산복합CC#30.00.00.00.00.01667.6825169.8131500.9130.00.00.00.06
1772020당진#618123.86816954.58618123.86817539.2277015.6915846.40918123.86818123.86817539.22718123.86817539.22718123.8685