Overview

Dataset statistics

Number of variables28
Number of observations366
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory89.5 KiB
Average record size in memory250.4 B

Variable types

DateTime1
Categorical13
Numeric14

Dataset

Description영암태양광발전소 일일시간대별 발전량 데이터, 진도태양광발전소 일일시간대별 발전량 데이터
Author한국농어촌공사
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20220211000000001838

Alerts

발전기명 has constant value ""Constant
발전기코드 has constant value ""Constant
발전/펌핑구분 has constant value ""Constant
01시 has constant value ""Constant
02시 has constant value ""Constant
03시 has constant value ""Constant
04시 has constant value ""Constant
05시 has constant value ""Constant
21시 has constant value ""Constant
22시 has constant value ""Constant
23시 has constant value ""Constant
24시 has constant value ""Constant
06시 is highly imbalanced (97.3%)Imbalance
날짜 has unique valuesUnique
07시 has 263 (71.9%) zerosZeros
08시 has 107 (29.2%) zerosZeros
09시 has 10 (2.7%) zerosZeros
13시 has 4 (1.1%) zerosZeros
14시 has 6 (1.6%) zerosZeros
15시 has 6 (1.6%) zerosZeros
16시 has 5 (1.4%) zerosZeros
17시 has 7 (1.9%) zerosZeros
18시 has 80 (21.9%) zerosZeros
19시 has 184 (50.3%) zerosZeros
20시 has 313 (85.5%) zerosZeros

Reproduction

Analysis started2023-12-11 03:49:29.213782
Analysis finished2023-12-11 03:49:29.513275
Duration0.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Date

UNIQUE 

Distinct366
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2016-12-31 00:00:00
Maximum2017-12-31 00:00:00
2023-12-11T12:49:29.582627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:49:29.724222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

발전기명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
농촌공진도태양광
366 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
농촌공진도태양광 366
100.0%

Length

2023-12-11T12:49:29.866922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:49:29.985253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농촌공진도태양광 366
100.0%

발전기코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
9389
366 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row9389
2nd row9389
3rd row9389
4th row9389
5th row9389

Common Values

ValueCountFrequency (%)
9389 366
100.0%

Length

2023-12-11T12:49:30.100041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:49:30.206310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
9389 366
100.0%

발전/펌핑구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
10
366 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10
2nd row10
3rd row10
4th row10
5th row10

Common Values

ValueCountFrequency (%)
10 366
100.0%

Length

2023-12-11T12:49:30.338289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:49:30.449565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10 366
100.0%

01시
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
366 

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 (%)
0 366
100.0%

Length

2023-12-11T12:49:30.562405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:49:30.675198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 366
100.0%

02시
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
366 

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 (%)
0 366
100.0%

Length

2023-12-11T12:49:30.768572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:49:30.874877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 366
100.0%

03시
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
366 

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 (%)
0 366
100.0%

Length

2023-12-11T12:49:30.998731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:49:31.116638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 366
100.0%

04시
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
366 

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 (%)
0 366
100.0%

Length

2023-12-11T12:49:31.209641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:49:31.296180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 366
100.0%

05시
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
366 

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 (%)
0 366
100.0%

Length

2023-12-11T12:49:31.405169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:49:31.745796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 366
100.0%

06시
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
365 
10152
 
1

Length

Max length5
Median length1
Mean length1.010929
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 365
99.7%
10152 1
 
0.3%

Length

2023-12-11T12:49:31.848216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:49:31.987619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 365
99.7%
10152 1
 
0.3%

07시
Real number (ℝ)

ZEROS 

Distinct96
Distinct (%)26.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9049.1803
Minimum0
Maximum66384
Zeros263
Zeros (%)71.9%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-11T12:49:32.133700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310800
95-th percentile53622
Maximum66384
Range66384
Interquartile range (IQR)10800

Descriptive statistics

Standard deviation17136.504
Coefficient of variation (CV)1.8937079
Kurtosis2.2518282
Mean9049.1803
Median Absolute Deviation (MAD)0
Skewness1.853127
Sum3312000
Variance2.9365978 × 108
MonotonicityNot monotonic
2023-12-11T12:49:32.270523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 263
71.9%
17712 3
 
0.8%
48456 2
 
0.5%
57528 2
 
0.5%
17064 2
 
0.5%
23328 2
 
0.5%
56088 2
 
0.5%
8856 2
 
0.5%
29160 1
 
0.3%
12240 1
 
0.3%
Other values (86) 86
 
23.5%
ValueCountFrequency (%)
0 263
71.9%
7416 1
 
0.3%
7848 1
 
0.3%
8208 1
 
0.3%
8352 1
 
0.3%
8640 1
 
0.3%
8856 2
 
0.5%
9576 1
 
0.3%
9792 1
 
0.3%
10440 1
 
0.3%
ValueCountFrequency (%)
66384 1
0.3%
66240 1
0.3%
63792 1
0.3%
61848 1
0.3%
61488 1
0.3%
61272 1
0.3%
59760 1
0.3%
58536 1
0.3%
57960 1
0.3%
57528 2
0.5%

08시
Real number (ℝ)

ZEROS 

Distinct245
Distinct (%)66.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58218.885
Minimum0
Maximum229248
Zeros107
Zeros (%)29.2%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-11T12:49:32.420998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median34560
Q3105714
95-th percentile174078
Maximum229248
Range229248
Interquartile range (IQR)105714

Descriptive statistics

Standard deviation61859.884
Coefficient of variation (CV)1.0625398
Kurtosis-0.41437539
Mean58218.885
Median Absolute Deviation (MAD)34560
Skewness0.83984794
Sum21308112
Variance3.8266453 × 109
MonotonicityNot monotonic
2023-12-11T12:49:32.548158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 107
29.2%
7920 2
 
0.5%
200736 2
 
0.5%
26496 2
 
0.5%
129960 2
 
0.5%
17280 2
 
0.5%
12456 2
 
0.5%
131760 2
 
0.5%
7488 2
 
0.5%
60984 2
 
0.5%
Other values (235) 241
65.8%
ValueCountFrequency (%)
0 107
29.2%
7200 1
 
0.3%
7344 1
 
0.3%
7488 2
 
0.5%
7776 1
 
0.3%
7920 2
 
0.5%
7992 1
 
0.3%
8136 1
 
0.3%
8280 1
 
0.3%
8424 1
 
0.3%
ValueCountFrequency (%)
229248 1
0.3%
223704 1
0.3%
223200 1
0.3%
222120 1
0.3%
211752 1
0.3%
209520 1
0.3%
207216 1
0.3%
204120 1
0.3%
201744 1
0.3%
200736 2
0.5%

09시
Real number (ℝ)

ZEROS 

Distinct343
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean166188.39
Minimum0
Maximum438624
Zeros10
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-11T12:49:32.707572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13410
Q152632
median153864
Q3268632
95-th percentile348948
Maximum438624
Range438624
Interquartile range (IQR)216000

Descriptive statistics

Standard deviation118425.96
Coefficient of variation (CV)0.71260069
Kurtosis-1.235746
Mean166188.39
Median Absolute Deviation (MAD)110052
Skewness0.24562142
Sum60824952
Variance1.4024709 × 1010
MonotonicityNot monotonic
2023-12-11T12:49:32.856876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
2.7%
15192 2
 
0.5%
222336 2
 
0.5%
184320 2
 
0.5%
304416 2
 
0.5%
14688 2
 
0.5%
17856 2
 
0.5%
80496 2
 
0.5%
314280 2
 
0.5%
70560 2
 
0.5%
Other values (333) 338
92.3%
ValueCountFrequency (%)
0 10
2.7%
7776 1
 
0.3%
7992 1
 
0.3%
8856 1
 
0.3%
9576 1
 
0.3%
9864 1
 
0.3%
10872 1
 
0.3%
11232 1
 
0.3%
12384 1
 
0.3%
13392 1
 
0.3%
ValueCountFrequency (%)
438624 1
0.3%
425160 1
0.3%
411192 1
0.3%
409896 1
0.3%
409176 1
0.3%
406944 1
0.3%
402912 1
0.3%
399024 1
0.3%
396720 1
0.3%
393552 1
0.3%

10시
Real number (ℝ)

Distinct360
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean318440.66
Minimum8712
Maximum631584
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-11T12:49:33.060749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8712
5-th percentile44460
Q1144666
median322488
Q3491688
95-th percentile570798
Maximum631584
Range622872
Interquartile range (IQR)347022

Descriptive statistics

Standard deviation185516.58
Coefficient of variation (CV)0.58257819
Kurtosis-1.4494658
Mean318440.66
Median Absolute Deviation (MAD)175176
Skewness-0.071245255
Sum1.1654928 × 108
Variance3.4416401 × 1010
MonotonicityNot monotonic
2023-12-11T12:49:33.208551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
342504 2
 
0.5%
444600 2
 
0.5%
480384 2
 
0.5%
579744 2
 
0.5%
542736 2
 
0.5%
358416 2
 
0.5%
202824 1
 
0.3%
398016 1
 
0.3%
95328 1
 
0.3%
15984 1
 
0.3%
Other values (350) 350
95.6%
ValueCountFrequency (%)
8712 1
0.3%
15984 1
0.3%
17064 1
0.3%
17424 1
0.3%
20736 1
0.3%
21744 1
0.3%
22392 1
0.3%
22536 1
0.3%
25848 1
0.3%
26712 1
0.3%
ValueCountFrequency (%)
631584 1
0.3%
621648 1
0.3%
615456 1
0.3%
613944 1
0.3%
613584 1
0.3%
598176 1
0.3%
597816 1
0.3%
588528 1
0.3%
584712 1
0.3%
581688 1
0.3%

11시
Real number (ℝ)

Distinct356
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean454452.39
Minimum17856
Maximum786600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-11T12:49:33.364736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17856
5-th percentile65106
Q1243828
median500976
Q3655218
95-th percentile731304
Maximum786600
Range768744
Interquartile range (IQR)411390

Descriptive statistics

Standard deviation226738.31
Coefficient of variation (CV)0.49892643
Kurtosis-1.2299942
Mean454452.39
Median Absolute Deviation (MAD)173088
Skewness-0.41617588
Sum1.6632958 × 108
Variance5.1410261 × 1010
MonotonicityNot monotonic
2023-12-11T12:49:33.531583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
612936 3
 
0.8%
717264 2
 
0.5%
659736 2
 
0.5%
700416 2
 
0.5%
736776 2
 
0.5%
144288 2
 
0.5%
675936 2
 
0.5%
674064 2
 
0.5%
702576 2
 
0.5%
520776 1
 
0.3%
Other values (346) 346
94.5%
ValueCountFrequency (%)
17856 1
0.3%
21960 1
0.3%
33984 1
0.3%
36144 1
0.3%
36216 1
0.3%
39528 1
0.3%
39960 1
0.3%
40320 1
0.3%
43416 1
0.3%
47808 1
0.3%
ValueCountFrequency (%)
786600 1
0.3%
778248 1
0.3%
773640 1
0.3%
769752 1
0.3%
767808 1
0.3%
765648 1
0.3%
758376 1
0.3%
758304 1
0.3%
753048 1
0.3%
748656 1
0.3%

12시
Real number (ℝ)

Distinct361
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean529965.64
Minimum0
Maximum897264
Zeros3
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-11T12:49:33.689420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile92862
Q1333198
median580824
Q3751644
95-th percentile836028
Maximum897264
Range897264
Interquartile range (IQR)418446

Descriptive statistics

Standard deviation251141.13
Coefficient of variation (CV)0.47388192
Kurtosis-1.1016994
Mean529965.64
Median Absolute Deviation (MAD)194184
Skewness-0.46338103
Sum1.9396742 × 108
Variance6.307187 × 1010
MonotonicityNot monotonic
2023-12-11T12:49:33.826085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
0.8%
489960 2
 
0.5%
70128 2
 
0.5%
459144 2
 
0.5%
687456 1
 
0.3%
787248 1
 
0.3%
69696 1
 
0.3%
66744 1
 
0.3%
345960 1
 
0.3%
534888 1
 
0.3%
Other values (351) 351
95.9%
ValueCountFrequency (%)
0 3
0.8%
26352 1
 
0.3%
29232 1
 
0.3%
44712 1
 
0.3%
48168 1
 
0.3%
48312 1
 
0.3%
49968 1
 
0.3%
50976 1
 
0.3%
53208 1
 
0.3%
63864 1
 
0.3%
ValueCountFrequency (%)
897264 1
0.3%
893016 1
0.3%
883368 1
0.3%
874512 1
0.3%
869904 1
0.3%
864288 1
0.3%
863496 1
0.3%
862416 1
0.3%
852552 1
0.3%
848880 1
0.3%

13시
Real number (ℝ)

ZEROS 

Distinct357
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean556256.66
Minimum0
Maximum953136
Zeros4
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-11T12:49:34.002276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile96714
Q1335790
median632772
Q3783288
95-th percentile884988
Maximum953136
Range953136
Interquartile range (IQR)447498

Descriptive statistics

Standard deviation258519.84
Coefficient of variation (CV)0.4647492
Kurtosis-1.029588
Mean556256.66
Median Absolute Deviation (MAD)182340
Skewness-0.46618466
Sum2.0358994 × 108
Variance6.6832506 × 1010
MonotonicityNot monotonic
2023-12-11T12:49:34.150402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
1.1%
274896 2
 
0.5%
733104 2
 
0.5%
399600 2
 
0.5%
162576 2
 
0.5%
81216 2
 
0.5%
737352 2
 
0.5%
530928 1
 
0.3%
504648 1
 
0.3%
72864 1
 
0.3%
Other values (347) 347
94.8%
ValueCountFrequency (%)
0 4
1.1%
29736 1
 
0.3%
39240 1
 
0.3%
40248 1
 
0.3%
45144 1
 
0.3%
58608 1
 
0.3%
58752 1
 
0.3%
66600 1
 
0.3%
71856 1
 
0.3%
72864 1
 
0.3%
ValueCountFrequency (%)
953136 1
0.3%
939456 1
0.3%
939312 1
0.3%
933624 1
0.3%
932112 1
0.3%
927792 1
0.3%
910800 1
0.3%
905904 1
0.3%
903528 1
0.3%
903384 1
0.3%

14시
Real number (ℝ)

ZEROS 

Distinct357
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean546028.72
Minimum0
Maximum950328
Zeros6
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-11T12:49:34.282891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile72882
Q1368514
median631944
Q3745776
95-th percentile864414
Maximum950328
Range950328
Interquartile range (IQR)377262

Descriptive statistics

Standard deviation255744.78
Coefficient of variation (CV)0.46837239
Kurtosis-0.85942883
Mean546028.72
Median Absolute Deviation (MAD)157788
Skewness-0.59464814
Sum1.9984651 × 108
Variance6.540539 × 1010
MonotonicityNot monotonic
2023-12-11T12:49:34.438040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
1.6%
671040 2
 
0.5%
753480 2
 
0.5%
640800 2
 
0.5%
303912 2
 
0.5%
807048 1
 
0.3%
96624 1
 
0.3%
56808 1
 
0.3%
373824 1
 
0.3%
533304 1
 
0.3%
Other values (347) 347
94.8%
ValueCountFrequency (%)
0 6
1.6%
33480 1
 
0.3%
34488 1
 
0.3%
42048 1
 
0.3%
45288 1
 
0.3%
55296 1
 
0.3%
56808 1
 
0.3%
57096 1
 
0.3%
59544 1
 
0.3%
59904 1
 
0.3%
ValueCountFrequency (%)
950328 1
0.3%
931392 1
0.3%
922680 1
0.3%
918864 1
0.3%
918072 1
0.3%
912096 1
0.3%
902664 1
0.3%
902160 1
0.3%
898704 1
0.3%
886608 1
0.3%

15시
Real number (ℝ)

ZEROS 

Distinct354
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean485719.28
Minimum0
Maximum871416
Zeros6
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-11T12:49:34.589504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile68328
Q1280422
median546984
Q3683622
95-th percentile787716
Maximum871416
Range871416
Interquartile range (IQR)403200

Descriptive statistics

Standard deviation239128.91
Coefficient of variation (CV)0.49231917
Kurtosis-1.060664
Mean485719.28
Median Absolute Deviation (MAD)162180
Skewness-0.47573225
Sum1.7777326 × 108
Variance5.7182637 × 1010
MonotonicityNot monotonic
2023-12-11T12:49:34.736946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
1.6%
157968 2
 
0.5%
676584 2
 
0.5%
55368 2
 
0.5%
686592 2
 
0.5%
544536 2
 
0.5%
765864 2
 
0.5%
68328 2
 
0.5%
684792 1
 
0.3%
181872 1
 
0.3%
Other values (344) 344
94.0%
ValueCountFrequency (%)
0 6
1.6%
15336 1
 
0.3%
21024 1
 
0.3%
21456 1
 
0.3%
34488 1
 
0.3%
38376 1
 
0.3%
38664 1
 
0.3%
50976 1
 
0.3%
55368 2
 
0.5%
59328 1
 
0.3%
ValueCountFrequency (%)
871416 1
0.3%
851760 1
0.3%
851040 1
0.3%
838368 1
0.3%
838008 1
0.3%
837936 1
0.3%
837504 1
0.3%
830952 1
0.3%
828792 1
0.3%
816768 1
0.3%

16시
Real number (ℝ)

ZEROS 

Distinct353
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean362893.18
Minimum0
Maximum694224
Zeros5
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-11T12:49:34.962918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile43758
Q1162540
median408276
Q3544320
95-th percentile618480
Maximum694224
Range694224
Interquartile range (IQR)381780

Descriptive statistics

Standard deviation198881.58
Coefficient of variation (CV)0.54804443
Kurtosis-1.3012443
Mean362893.18
Median Absolute Deviation (MAD)160200
Skewness-0.30101256
Sum1.328189 × 108
Variance3.9553885 × 1010
MonotonicityNot monotonic
2023-12-11T12:49:35.114861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
1.4%
539064 2
 
0.5%
335304 2
 
0.5%
277344 2
 
0.5%
489456 2
 
0.5%
412488 2
 
0.5%
151776 2
 
0.5%
160920 2
 
0.5%
544320 2
 
0.5%
92088 2
 
0.5%
Other values (343) 343
93.7%
ValueCountFrequency (%)
0 5
1.4%
9504 1
 
0.3%
14328 1
 
0.3%
18576 1
 
0.3%
18864 1
 
0.3%
21096 1
 
0.3%
27864 1
 
0.3%
29304 1
 
0.3%
33912 1
 
0.3%
33984 1
 
0.3%
ValueCountFrequency (%)
694224 1
0.3%
677088 1
0.3%
675504 1
0.3%
675360 1
0.3%
673848 1
0.3%
667872 1
0.3%
663768 1
0.3%
661536 1
0.3%
658728 1
0.3%
641808 1
0.3%

17시
Real number (ℝ)

ZEROS 

Distinct351
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean213546.89
Minimum0
Maximum449280
Zeros7
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-11T12:49:35.291231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19602
Q167626
median206316
Q3365472
95-th percentile415692
Maximum449280
Range449280
Interquartile range (IQR)297846

Descriptive statistics

Standard deviation144731.65
Coefficient of variation (CV)0.67775115
Kurtosis-1.5486355
Mean213546.89
Median Absolute Deviation (MAD)147276
Skewness0.087192567
Sum78158160
Variance2.094725 × 1010
MonotonicityNot monotonic
2023-12-11T12:49:35.478480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7
 
1.9%
250344 2
 
0.5%
389952 2
 
0.5%
417312 2
 
0.5%
217008 2
 
0.5%
60408 2
 
0.5%
280728 2
 
0.5%
52416 2
 
0.5%
392832 2
 
0.5%
95112 2
 
0.5%
Other values (341) 341
93.2%
ValueCountFrequency (%)
0 7
1.9%
10440 1
 
0.3%
11016 1
 
0.3%
11088 1
 
0.3%
11664 1
 
0.3%
13032 1
 
0.3%
14184 1
 
0.3%
15264 1
 
0.3%
16560 1
 
0.3%
17856 1
 
0.3%
ValueCountFrequency (%)
449280 1
0.3%
440784 1
0.3%
433152 1
0.3%
432288 1
0.3%
430416 1
0.3%
430128 1
0.3%
428616 1
0.3%
428256 1
0.3%
427968 1
0.3%
424584 1
0.3%

18시
Real number (ℝ)

ZEROS 

Distinct278
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85745.902
Minimum0
Maximum242064
Zeros80
Zeros (%)21.9%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-11T12:49:35.670978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19630
median69012
Q3156960
95-th percentile215334
Maximum242064
Range242064
Interquartile range (IQR)147330

Descriptive statistics

Standard deviation77294.768
Coefficient of variation (CV)0.90143979
Kurtosis-1.3014177
Mean85745.902
Median Absolute Deviation (MAD)69012
Skewness0.38988367
Sum31383000
Variance5.9744812 × 109
MonotonicityNot monotonic
2023-12-11T12:49:35.831706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 80
 
21.9%
73512 2
 
0.5%
10368 2
 
0.5%
214128 2
 
0.5%
30600 2
 
0.5%
36432 2
 
0.5%
59400 2
 
0.5%
9144 2
 
0.5%
19440 2
 
0.5%
10296 2
 
0.5%
Other values (268) 268
73.2%
ValueCountFrequency (%)
0 80
21.9%
7128 1
 
0.3%
7344 1
 
0.3%
7488 1
 
0.3%
7632 1
 
0.3%
8352 1
 
0.3%
8424 1
 
0.3%
8496 1
 
0.3%
8568 1
 
0.3%
8856 1
 
0.3%
ValueCountFrequency (%)
242064 1
0.3%
239760 1
0.3%
237240 1
0.3%
233784 1
0.3%
232416 1
0.3%
230256 1
0.3%
228024 1
0.3%
223272 1
0.3%
223056 1
0.3%
222984 1
0.3%

19시
Real number (ℝ)

ZEROS 

Distinct176
Distinct (%)48.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22593.836
Minimum0
Maximum128448
Zeros184
Zeros (%)50.3%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-11T12:49:36.365833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q343812
95-th percentile79380
Maximum128448
Range128448
Interquartile range (IQR)43812

Descriptive statistics

Standard deviation29523.451
Coefficient of variation (CV)1.3067038
Kurtosis0.059941111
Mean22593.836
Median Absolute Deviation (MAD)0
Skewness1.0943614
Sum8269344
Variance8.7163415 × 108
MonotonicityNot monotonic
2023-12-11T12:49:36.545521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 184
50.3%
83376 2
 
0.5%
52776 2
 
0.5%
49752 2
 
0.5%
30888 2
 
0.5%
35568 2
 
0.5%
16200 2
 
0.5%
74664 2
 
0.5%
71928 1
 
0.3%
17712 1
 
0.3%
Other values (166) 166
45.4%
ValueCountFrequency (%)
0 184
50.3%
6984 1
 
0.3%
7056 1
 
0.3%
7128 1
 
0.3%
7272 1
 
0.3%
7632 1
 
0.3%
7704 1
 
0.3%
8208 1
 
0.3%
8280 1
 
0.3%
9144 1
 
0.3%
ValueCountFrequency (%)
128448 1
0.3%
121032 1
0.3%
103032 1
0.3%
100872 1
0.3%
91656 1
0.3%
90792 1
0.3%
90360 1
0.3%
89784 1
0.3%
87984 1
0.3%
87696 1
0.3%

20시
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1774.623
Minimum0
Maximum39600
Zeros313
Zeros (%)85.5%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-11T12:49:36.752962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile12618
Maximum39600
Range39600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4823.727
Coefficient of variation (CV)2.7181701
Kurtosis14.509689
Mean1774.623
Median Absolute Deviation (MAD)0
Skewness3.3542971
Sum649512
Variance23268342
MonotonicityNot monotonic
2023-12-11T12:49:36.942993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 313
85.5%
8640 3
 
0.8%
7848 3
 
0.8%
7272 2
 
0.5%
10872 2
 
0.5%
13176 2
 
0.5%
12672 2
 
0.5%
8352 2
 
0.5%
8496 2
 
0.5%
16416 1
 
0.3%
Other values (34) 34
 
9.3%
ValueCountFrequency (%)
0 313
85.5%
6984 1
 
0.3%
7272 2
 
0.5%
7488 1
 
0.3%
7776 1
 
0.3%
7848 3
 
0.8%
8064 1
 
0.3%
8208 1
 
0.3%
8352 2
 
0.5%
8496 2
 
0.5%
ValueCountFrequency (%)
39600 1
0.3%
27360 1
0.3%
20592 1
0.3%
20232 1
0.3%
18792 1
0.3%
18648 1
0.3%
17352 1
0.3%
16920 1
0.3%
16488 1
0.3%
16416 1
0.3%

21시
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
366 

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 (%)
0 366
100.0%

Length

2023-12-11T12:49:37.106254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:49:37.205899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 366
100.0%

22시
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
366 

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 (%)
0 366
100.0%

Length

2023-12-11T12:49:37.304454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:49:37.402112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 366
100.0%

23시
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
366 

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 (%)
0 366
100.0%

Length

2023-12-11T12:49:37.529484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:49:37.660764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 366
100.0%

24시
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
366 

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 (%)
0 366
100.0%

Length

2023-12-11T12:49:37.838877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:49:37.947777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 366
100.0%

Sample

날짜발전기명발전기코드발전/펌핑구분01시02시03시04시05시06시07시08시09시10시11시12시13시14시15시16시17시18시19시20시21시22시23시24시
02017-01-01농촌공진도태양광9389100000000046080242136520776687456743976751896677736344160714247344000000
12017-01-02농촌공진도태양광93891000000000885636216223560261792733104711072441288316368370800000000
22017-01-03농촌공진도태양광9389100000000049320261144478152701424766944742176673200364248789128568000000
32017-01-04농촌공진도태양광9389100000000036504104688352440469152439344483336452664201672647280000000
42017-01-05농촌공진도태양광93891000000000159848215210670412110419404016387210440075240344880000000
52017-01-06농촌공진도태양광93891000000000162721062002065685294162529361629362939043957129511210296000000
62017-01-07농촌공진도태양광938910000000001778458248100152988562223361591927891242192152640000000
72017-01-08농촌공진도태양광9389100000000017496964801824481958402973606130086168243975121116720000000
82017-01-09농촌공진도태양광938910000000000207361180082242805647686539047280644433761120327128000000
92017-01-10농촌공진도태양광9389100000000003866477112156384256392528192669600356184584640000000
날짜발전기명발전기코드발전/펌핑구분01시02시03시04시05시06시07시08시09시10시11시12시13시14시15시16시17시18시19시20시21시22시23시24시
3562017-12-23농촌공진도태양광9389100000000034416183744471024667080696240640800518472235872526320000000
3572017-12-24농촌공진도태양광9389100000000002584818892811534483304496656318960124704116640000000
3582017-12-25농촌공진도태양광938910000000001850464152123984178128301032471168413136137304226800000000
3592017-12-26농촌공진도태양광9389100000000028080224712547272690336783360589248201384146808565200000000
3602017-12-27농촌공진도태양광9389100000000042768181512586080836496884232864864762696367704604080000000
3612017-12-28농촌공진도태양광938910000000002901692664167040223416246096199512113184126072604800000000
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