Overview

Dataset statistics

Number of variables29
Number of observations10000
Missing cells466
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 MiB
Average record size in memory266.0 B

Variable types

DateTime1
Text1
Numeric26
Categorical1

Dataset

Description한국서부발전에서 운영하고 있는 신재생에너지(태양광, 풍력, ESS, 소수력 등) 발전의 일일 시간별 발전량을 제공합니다. - 시간대 발전량 단위는 Wh 입니다
URLhttps://www.data.go.kr/data/15095865/fileData.do

Alerts

01시 has 7452 (74.5%) zerosZeros
02시 has 7470 (74.7%) zerosZeros
03시 has 7492 (74.9%) zerosZeros
04시 has 7519 (75.2%) zerosZeros
05시 has 7525 (75.2%) zerosZeros
06시 has 7114 (71.1%) zerosZeros
07시 has 5462 (54.6%) zerosZeros
08시 has 3426 (34.3%) zerosZeros
09시 has 2229 (22.3%) zerosZeros
10시 has 1990 (19.9%) zerosZeros
11시 has 2000 (20.0%) zerosZeros
12시 has 2021 (20.2%) zerosZeros
13시 has 2102 (21.0%) zerosZeros
14시 has 2069 (20.7%) zerosZeros
15시 has 2109 (21.1%) zerosZeros
16시 has 2131 (21.3%) zerosZeros
17시 has 1964 (19.6%) zerosZeros
18시 has 2138 (21.4%) zerosZeros
19시 has 4180 (41.8%) zerosZeros
20시 has 5450 (54.5%) zerosZeros
21시 has 6663 (66.6%) zerosZeros
22시 has 7127 (71.3%) zerosZeros
23시 has 7403 (74.0%) zerosZeros
24시 has 7457 (74.6%) zerosZeros
합계 has 381 (3.8%) zerosZeros

Reproduction

Analysis started2023-12-12 07:16:38.922888
Analysis finished2023-12-12 07:16:39.491578
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Date

Distinct1367
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2013-03-26 00:00:00
Maximum2022-12-29 00:00:00
2023-12-12T16:16:39.548688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:16:39.677146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

발전기명
Text

Distinct53
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T16:16:39.912141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length12.1629
Min length4

Characters and Unicode

Total characters121629
Distinct characters99
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row태안태양광2단계_ESS
2nd row[서인천]발전부지내 태양광 1단계
3rd row태안_ESS#2_2단계_#1옥내저탄장
4th row태안부지 태양광 2단계(대지)
5th row세종시자전거도로태양광#3
ValueCountFrequency (%)
태양광 1566
 
10.2%
ess 1216
 
7.9%
영암에프원태양광b 672
 
4.4%
서인천]발전부지내 613
 
4.0%
1단계 595
 
3.9%
화순풍력 500
 
3.2%
평택]발전부지내 441
 
2.9%
매립장 376
 
2.4%
폐기물 376
 
2.4%
아산시 376
 
2.4%
Other values (50) 8695
56.4%
2023-12-12T16:16:40.331820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
태 10200
 
8.4%
양 7570
 
6.2%
광 7493
 
6.2%
S 7076
 
5.8%
5426
 
4.5%
안 3833
 
3.2%
2 3626
 
3.0%
E 3538
 
2.9%
전 3398
 
2.8%
계 3386
 
2.8%
Other values (89) 66083
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 88674
72.9%
Uppercase Letter 10614
 
8.7%
Decimal Number 6731
 
5.5%
Space Separator 5426
 
4.5%
Connector Punctuation 3332
 
2.7%
Other Punctuation 2730
 
2.2%
Close Punctuation 1725
 
1.4%
Open Punctuation 1725
 
1.4%
Lowercase Letter 672
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
태 10200
 
11.5%
양 7570
 
8.5%
광 7493
 
8.5%
안 3833
 
4.3%
전 3398
 
3.8%
계 3386
 
3.8%
단 3153
 
3.6%
지 2559
 
2.9%
발 2234
 
2.5%
부 1914
 
2.2%
Other values (73) 42934
48.4%
Decimal Number
ValueCountFrequency (%)
2 3626
53.9%
1 2604
38.7%
3 171
 
2.5%
9 165
 
2.5%
0 165
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
S 7076
66.7%
E 3538
33.3%
Other Punctuation
ValueCountFrequency (%)
# 2565
94.0%
· 165
 
6.0%
Close Punctuation
ValueCountFrequency (%)
] 1054
61.1%
) 671
38.9%
Open Punctuation
ValueCountFrequency (%)
[ 1054
61.1%
( 671
38.9%
Space Separator
ValueCountFrequency (%)
5426
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3332
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 672
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 88674
72.9%
Common 21669
 
17.8%
Latin 11286
 
9.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
태 10200
 
11.5%
양 7570
 
8.5%
광 7493
 
8.5%
안 3833
 
4.3%
전 3398
 
3.8%
계 3386
 
3.8%
단 3153
 
3.6%
지 2559
 
2.9%
발 2234
 
2.5%
부 1914
 
2.2%
Other values (73) 42934
48.4%
Common
ValueCountFrequency (%)
5426
25.0%
2 3626
16.7%
_ 3332
15.4%
1 2604
12.0%
# 2565
11.8%
] 1054
 
4.9%
[ 1054
 
4.9%
( 671
 
3.1%
) 671
 
3.1%
3 171
 
0.8%
Other values (3) 495
 
2.3%
Latin
ValueCountFrequency (%)
S 7076
62.7%
E 3538
31.3%
b 672
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 88674
72.9%
ASCII 32790
 
27.0%
None 165
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
태 10200
 
11.5%
양 7570
 
8.5%
광 7493
 
8.5%
안 3833
 
4.3%
전 3398
 
3.8%
계 3386
 
3.8%
단 3153
 
3.6%
지 2559
 
2.9%
발 2234
 
2.5%
부 1914
 
2.2%
Other values (73) 42934
48.4%
ASCII
ValueCountFrequency (%)
S 7076
21.6%
5426
16.5%
2 3626
11.1%
E 3538
10.8%
_ 3332
10.2%
1 2604
 
7.9%
# 2565
 
7.8%
] 1054
 
3.2%
[ 1054
 
3.2%
b 672
 
2.0%
Other values (5) 1843
 
5.6%
None
ValueCountFrequency (%)
· 165
100.0%

용량_메가와트
Real number (ℝ)

Distinct40
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8454976
Minimum0.09
Maximum60.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:16:40.492333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.09
5-th percentile0.129
Q10.6755
median1.625
Q38
95-th percentile16
Maximum60.3
Range60.21
Interquartile range (IQR)7.3245

Descriptive statistics

Standard deviation8.5756919
Coefficient of variation (CV)1.7698269
Kurtosis25.488938
Mean4.8454976
Median Absolute Deviation (MAD)1.17
Skewness4.5094874
Sum48454.976
Variance73.542491
MonotonicityNot monotonic
2023-12-12T16:16:40.936322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
8.0 1426
 
14.3%
1.0 1304
 
13.0%
13.296 672
 
6.7%
2.0 654
 
6.5%
0.455 345
 
3.5%
1.25 338
 
3.4%
0.21 330
 
3.3%
0.5 277
 
2.8%
1.883 191
 
1.9%
16.645 185
 
1.8%
Other values (30) 4278
42.8%
ValueCountFrequency (%)
0.09 182
1.8%
0.12 178
1.8%
0.129 171
1.7%
0.16 169
1.7%
0.17 170
1.7%
0.18 177
1.8%
0.198 167
1.7%
0.21 330
3.3%
0.455 345
3.5%
0.5 277
2.8%
ValueCountFrequency (%)
60.3 161
 
1.6%
20.24 77
 
0.8%
18.0 49
 
0.5%
16.645 185
 
1.8%
16.0 162
 
1.6%
15.0 2
 
< 0.1%
13.296 672
6.7%
9.9 52
 
0.5%
8.267 175
 
1.8%
8.0 1426
14.3%

01시
Real number (ℝ)

ZEROS 

Distinct945
Distinct (%)9.5%
Missing14
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean941469.7
Minimum0
Maximum54103840
Zeros7452
Zeros (%)74.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:16:41.098406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31920
95-th percentile5356278
Maximum54103840
Range54103840
Interquartile range (IQR)1920

Descriptive statistics

Standard deviation4920998.2
Coefficient of variation (CV)5.2269321
Kurtosis68.330997
Mean941469.7
Median Absolute Deviation (MAD)0
Skewness7.803318
Sum9.4015165 × 109
Variance2.4216223 × 1013
MonotonicityNot monotonic
2023-12-12T16:16:41.238110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7452
74.5%
7200 236
 
2.4%
9000 196
 
2.0%
1920 164
 
1.6%
18000 95
 
0.9%
10800 69
 
0.7%
5760 66
 
0.7%
5040 58
 
0.6%
16200 54
 
0.5%
6480 52
 
0.5%
Other values (935) 1544
 
15.4%
ValueCountFrequency (%)
0 7452
74.5%
192 1
 
< 0.1%
672 1
 
< 0.1%
708 1
 
< 0.1%
720 16
 
0.2%
960 2
 
< 0.1%
1164 1
 
< 0.1%
1440 8
 
0.1%
1920 164
 
1.6%
2160 1
 
< 0.1%
ValueCountFrequency (%)
54103840 1
< 0.1%
54097344 1
< 0.1%
54057808 1
< 0.1%
53922400 1
< 0.1%
53810960 1
< 0.1%
53754624 1
< 0.1%
53701312 1
< 0.1%
53625152 1
< 0.1%
53427584 1
< 0.1%
53381104 1
< 0.1%

02시
Real number (ℝ)

ZEROS 

Distinct923
Distinct (%)9.2%
Missing15
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean941122.57
Minimum0
Maximum54098576
Zeros7470
Zeros (%)74.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:16:41.410169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31440
95-th percentile5477056.8
Maximum54098576
Range54098576
Interquartile range (IQR)1440

Descriptive statistics

Standard deviation4923804.5
Coefficient of variation (CV)5.2318419
Kurtosis68.511789
Mean941122.57
Median Absolute Deviation (MAD)0
Skewness7.8136228
Sum9.3971089 × 109
Variance2.4243851 × 1013
MonotonicityNot monotonic
2023-12-12T16:16:41.623741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7470
74.7%
7200 288
 
2.9%
9000 203
 
2.0%
1920 161
 
1.6%
5040 88
 
0.9%
18000 86
 
0.9%
5760 80
 
0.8%
10800 69
 
0.7%
6480 67
 
0.7%
16200 49
 
0.5%
Other values (913) 1424
 
14.2%
ValueCountFrequency (%)
0 7470
74.7%
288 1
 
< 0.1%
384 1
 
< 0.1%
672 1
 
< 0.1%
720 13
 
0.1%
960 2
 
< 0.1%
1440 10
 
0.1%
1446 1
 
< 0.1%
1920 161
 
1.6%
2400 5
 
0.1%
ValueCountFrequency (%)
54098576 1
< 0.1%
54092416 1
< 0.1%
54086368 1
< 0.1%
54052880 1
< 0.1%
53918592 1
< 0.1%
53764368 1
< 0.1%
53699856 1
< 0.1%
53641392 1
< 0.1%
53420528 1
< 0.1%
53386704 1
< 0.1%

03시
Real number (ℝ)

ZEROS 

Distinct890
Distinct (%)8.9%
Missing15
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean942586.03
Minimum0
Maximum54147296
Zeros7492
Zeros (%)74.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:16:41.761131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5611032
Maximum54147296
Range54147296
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4928076.3
Coefficient of variation (CV)5.2282509
Kurtosis68.307561
Mean942586.03
Median Absolute Deviation (MAD)0
Skewness7.7986692
Sum9.4117215 × 109
Variance2.4285936 × 1013
MonotonicityNot monotonic
2023-12-12T16:16:41.911806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7492
74.9%
7200 291
 
2.9%
9000 225
 
2.2%
1920 167
 
1.7%
5760 108
 
1.1%
5040 98
 
1.0%
10800 67
 
0.7%
6480 66
 
0.7%
18000 56
 
0.6%
14400 45
 
0.4%
Other values (880) 1370
 
13.7%
ValueCountFrequency (%)
0 7492
74.9%
24 1
 
< 0.1%
516 1
 
< 0.1%
720 5
 
0.1%
792 1
 
< 0.1%
1446 1
 
< 0.1%
1884 1
 
< 0.1%
1920 167
 
1.7%
2400 3
 
< 0.1%
2640 6
 
0.1%
ValueCountFrequency (%)
54147296 1
< 0.1%
54095440 1
< 0.1%
54092864 1
< 0.1%
54050864 1
< 0.1%
53908512 1
< 0.1%
53700192 1
< 0.1%
53670960 1
< 0.1%
53639600 1
< 0.1%
53423104 1
< 0.1%
53368224 1
< 0.1%

04시
Real number (ℝ)

ZEROS 

Distinct878
Distinct (%)8.8%
Missing14
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean944562.82
Minimum0
Maximum54130272
Zeros7519
Zeros (%)75.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:16:42.056312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5656733.2
Maximum54130272
Range54130272
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4932634.3
Coefficient of variation (CV)5.2221347
Kurtosis68.045634
Mean944562.82
Median Absolute Deviation (MAD)0
Skewness7.7800966
Sum9.4324043 × 109
Variance2.4330881 × 1013
MonotonicityNot monotonic
2023-12-12T16:16:42.205628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7519
75.2%
7200 350
 
3.5%
9000 194
 
1.9%
1920 164
 
1.6%
5040 115
 
1.1%
5760 94
 
0.9%
18000 70
 
0.7%
10800 67
 
0.7%
6480 51
 
0.5%
14400 41
 
0.4%
Other values (868) 1321
 
13.2%
ValueCountFrequency (%)
0 7519
75.2%
960 2
 
< 0.1%
1446 1
 
< 0.1%
1488 1
 
< 0.1%
1524 1
 
< 0.1%
1920 164
 
1.6%
2400 3
 
< 0.1%
2640 6
 
0.1%
2880 5
 
0.1%
2928 1
 
< 0.1%
ValueCountFrequency (%)
54130272 1
< 0.1%
54094320 1
< 0.1%
54091184 1
< 0.1%
53954096 1
< 0.1%
53923968 1
< 0.1%
53701648 1
< 0.1%
53637248 1
< 0.1%
53637024 1
< 0.1%
53422320 1
< 0.1%
53373376 1
< 0.1%

05시
Real number (ℝ)

ZEROS 

Distinct872
Distinct (%)8.7%
Missing14
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean943979.71
Minimum0
Maximum54093088
Zeros7525
Zeros (%)75.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:16:42.369860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5644247.8
Maximum54093088
Range54093088
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4934258.1
Coefficient of variation (CV)5.2270807
Kurtosis67.977341
Mean943979.71
Median Absolute Deviation (MAD)0
Skewness7.7758236
Sum9.4265813 × 109
Variance2.4346903 × 1013
MonotonicityNot monotonic
2023-12-12T16:16:42.535231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7525
75.2%
7200 348
 
3.5%
9000 222
 
2.2%
1920 163
 
1.6%
5040 114
 
1.1%
5760 94
 
0.9%
18000 63
 
0.6%
6480 50
 
0.5%
14400 48
 
0.5%
4320 46
 
0.5%
Other values (862) 1313
 
13.1%
ValueCountFrequency (%)
0 7525
75.2%
96 1
 
< 0.1%
384 1
 
< 0.1%
960 3
 
< 0.1%
1446 2
 
< 0.1%
1728 1
 
< 0.1%
1920 163
 
1.6%
2112 1
 
< 0.1%
2208 1
 
< 0.1%
2400 2
 
< 0.1%
ValueCountFrequency (%)
54093088 1
< 0.1%
54080544 1
< 0.1%
53958800 1
< 0.1%
53920832 1
< 0.1%
53915792 1
< 0.1%
53702320 1
< 0.1%
53653712 1
< 0.1%
53631200 1
< 0.1%
53427808 1
< 0.1%
53372480 1
< 0.1%

06시
Real number (ℝ)

ZEROS 

Distinct994
Distinct (%)10.0%
Missing15
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean945423.82
Minimum0
Maximum54102272
Zeros7114
Zeros (%)71.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:16:42.693997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31920
95-th percentile5698901.6
Maximum54102272
Range54102272
Interquartile range (IQR)1920

Descriptive statistics

Standard deviation4937780.6
Coefficient of variation (CV)5.2228222
Kurtosis67.847416
Mean945423.82
Median Absolute Deviation (MAD)0
Skewness7.7668422
Sum9.4400569 × 109
Variance2.4381677 × 1013
MonotonicityNot monotonic
2023-12-12T16:16:42.856951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7114
71.1%
7200 339
 
3.4%
9000 214
 
2.1%
1920 170
 
1.7%
5040 127
 
1.3%
5760 97
 
1.0%
18000 65
 
0.7%
10800 57
 
0.6%
6480 53
 
0.5%
36000 45
 
0.4%
Other values (984) 1704
 
17.0%
ValueCountFrequency (%)
0 7114
71.1%
48 8
 
0.1%
80 1
 
< 0.1%
96 5
 
0.1%
100 8
 
0.1%
120 5
 
0.1%
121 3
 
< 0.1%
160 7
 
0.1%
180 4
 
< 0.1%
181 2
 
< 0.1%
ValueCountFrequency (%)
54102272 1
< 0.1%
54100256 1
< 0.1%
53953872 1
< 0.1%
53948720 1
< 0.1%
53927440 1
< 0.1%
53715200 1
< 0.1%
53706128 1
< 0.1%
53637024 1
< 0.1%
53424112 1
< 0.1%
53366656 1
< 0.1%

07시
Real number (ℝ)

ZEROS 

Distinct1719
Distinct (%)17.2%
Missing15
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean961551.61
Minimum0
Maximum54101488
Zeros5462
Zeros (%)54.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:16:42.993820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q39000
95-th percentile5719013.8
Maximum54101488
Range54101488
Interquartile range (IQR)9000

Descriptive statistics

Standard deviation4934909.5
Coefficient of variation (CV)5.1322357
Kurtosis67.9419
Mean961551.61
Median Absolute Deviation (MAD)0
Skewness7.7720699
Sum9.6010928 × 109
Variance2.4353332 × 1013
MonotonicityNot monotonic
2023-12-12T16:16:43.161689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5462
54.6%
7200 375
 
3.8%
9000 223
 
2.2%
1920 187
 
1.9%
5040 148
 
1.5%
5760 94
 
0.9%
4320 61
 
0.6%
18000 58
 
0.6%
36000 56
 
0.6%
10800 56
 
0.6%
Other values (1709) 3265
32.6%
ValueCountFrequency (%)
0 5462
54.6%
5 1
 
< 0.1%
12 1
 
< 0.1%
24 1
 
< 0.1%
29 1
 
< 0.1%
38 1
 
< 0.1%
48 2
 
< 0.1%
58 2
 
< 0.1%
72 1
 
< 0.1%
80 2
 
< 0.1%
ValueCountFrequency (%)
54101488 1
< 0.1%
54100928 1
< 0.1%
53998112 1
< 0.1%
53959024 1
< 0.1%
53922736 1
< 0.1%
53748464 1
< 0.1%
53728416 1
< 0.1%
53634112 1
< 0.1%
53415488 1
< 0.1%
53382896 1
< 0.1%

08시
Real number (ℝ)

ZEROS 

Distinct2788
Distinct (%)27.9%
Missing15
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1031978.9
Minimum0
Maximum54110000
Zeros3426
Zeros (%)34.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:16:43.322785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6480
Q367680
95-th percentile5646317.6
Maximum54110000
Range54110000
Interquartile range (IQR)67680

Descriptive statistics

Standard deviation4924632.1
Coefficient of variation (CV)4.7720278
Kurtosis68.134084
Mean1031978.9
Median Absolute Deviation (MAD)6480
Skewness7.7761335
Sum1.030431 × 1010
Variance2.4252001 × 1013
MonotonicityNot monotonic
2023-12-12T16:16:43.488762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3426
34.3%
7200 379
 
3.8%
9000 208
 
2.1%
1920 179
 
1.8%
5040 133
 
1.3%
5760 103
 
1.0%
18000 82
 
0.8%
10800 76
 
0.8%
4320 61
 
0.6%
6480 60
 
0.6%
Other values (2778) 5278
52.8%
ValueCountFrequency (%)
0 3426
34.3%
5 3
 
< 0.1%
10 1
 
< 0.1%
14 4
 
< 0.1%
19 1
 
< 0.1%
29 1
 
< 0.1%
34 1
 
< 0.1%
48 5
 
0.1%
67 1
 
< 0.1%
80 4
 
< 0.1%
ValueCountFrequency (%)
54110000 1
< 0.1%
54097904 1
< 0.1%
54064304 1
< 0.1%
53967984 1
< 0.1%
53923184 1
< 0.1%
53762688 1
< 0.1%
53715536 1
< 0.1%
53653376 1
< 0.1%
53427472 1
< 0.1%
53387712 1
< 0.1%

09시
Real number (ℝ)

ZEROS 

Distinct3816
Distinct (%)38.2%
Missing18
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean1192740.5
Minimum0
Maximum54113472
Zeros2229
Zeros (%)22.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:16:43.626958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11920
median24608
Q3253320
95-th percentile5636582.1
Maximum54113472
Range54113472
Interquartile range (IQR)251400

Descriptive statistics

Standard deviation4939060.7
Coefficient of variation (CV)4.1409348
Kurtosis66.316548
Mean1192740.5
Median Absolute Deviation (MAD)24608
Skewness7.6181271
Sum1.1905936 × 1010
Variance2.439432 × 1013
MonotonicityNot monotonic
2023-12-12T16:16:43.768331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2229
 
22.3%
7200 357
 
3.6%
9000 199
 
2.0%
1920 176
 
1.8%
5040 120
 
1.2%
5760 95
 
0.9%
6480 68
 
0.7%
18000 65
 
0.7%
10800 61
 
0.6%
14400 56
 
0.6%
Other values (3806) 6556
65.6%
ValueCountFrequency (%)
0 2229
22.3%
14 1
 
< 0.1%
19 1
 
< 0.1%
62 2
 
< 0.1%
100 1
 
< 0.1%
110 1
 
< 0.1%
130 1
 
< 0.1%
144 1
 
< 0.1%
168 1
 
< 0.1%
187 2
 
< 0.1%
ValueCountFrequency (%)
54113472 1
< 0.1%
54098016 1
< 0.1%
54063184 1
< 0.1%
54041904 1
< 0.1%
53926320 1
< 0.1%
53702544 1
< 0.1%
53650464 1
< 0.1%
53544736 1
< 0.1%
53378976 1
< 0.1%
53353440 1
< 0.1%

10시
Real number (ℝ)

ZEROS 

Distinct4504
Distinct (%)45.2%
Missing26
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean1401776.1
Minimum0
Maximum54154912
Zeros1990
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:16:43.921736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15760
median63600
Q3523489.25
95-th percentile6902400
Maximum54154912
Range54154912
Interquartile range (IQR)517729.25

Descriptive statistics

Standard deviation5001918
Coefficient of variation (CV)3.5682717
Kurtosis61.523963
Mean1401776.1
Median Absolute Deviation (MAD)63600
Skewness7.2364618
Sum1.3981315 × 1010
Variance2.5019184 × 1013
MonotonicityNot monotonic
2023-12-12T16:16:44.087700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1990
 
19.9%
7200 251
 
2.5%
1920 171
 
1.7%
9000 147
 
1.5%
5040 88
 
0.9%
5760 65
 
0.7%
18000 63
 
0.6%
10800 54
 
0.5%
30000 49
 
0.5%
6480 48
 
0.5%
Other values (4494) 7048
70.5%
ValueCountFrequency (%)
0 1990
19.9%
24 1
 
< 0.1%
48 1
 
< 0.1%
80 1
 
< 0.1%
96 1
 
< 0.1%
240 20
 
0.2%
396 1
 
< 0.1%
451 1
 
< 0.1%
480 3
 
< 0.1%
560 1
 
< 0.1%
ValueCountFrequency (%)
54154912 1
< 0.1%
54125680 1
< 0.1%
54108096 1
< 0.1%
54063968 1
< 0.1%
53934720 1
< 0.1%
53704784 1
< 0.1%
53642512 1
< 0.1%
53533536 1
< 0.1%
53327008 1
< 0.1%
53248384 1
< 0.1%

11시
Real number (ℝ)

ZEROS 

Distinct4944
Distinct (%)49.6%
Missing32
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean1567593.9
Minimum0
Maximum54115712
Zeros2000
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:16:44.227632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q118483.75
median162240
Q3708120
95-th percentile8105280
Maximum54115712
Range54115712
Interquartile range (IQR)689636.25

Descriptive statistics

Standard deviation5068032.3
Coefficient of variation (CV)3.2330009
Kurtosis56.843937
Mean1567593.9
Median Absolute Deviation (MAD)162240
Skewness6.8712754
Sum1.5625776 × 1010
Variance2.5684952 × 1013
MonotonicityNot monotonic
2023-12-12T16:16:44.425462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2000
 
20.0%
7200 61
 
0.6%
18000 50
 
0.5%
201600 36
 
0.4%
9000 29
 
0.3%
187200 26
 
0.3%
102240 26
 
0.3%
198000 23
 
0.2%
205200 23
 
0.2%
208800 23
 
0.2%
Other values (4934) 7671
76.7%
(Missing) 32
 
0.3%
ValueCountFrequency (%)
0 2000
20.0%
240 3
 
< 0.1%
360 1
 
< 0.1%
480 1
 
< 0.1%
571 1
 
< 0.1%
720 1
 
< 0.1%
864 1
 
< 0.1%
960 4
 
< 0.1%
1120 1
 
< 0.1%
1200 7
 
0.1%
ValueCountFrequency (%)
54115712 1
< 0.1%
54115600 1
< 0.1%
54106640 1
< 0.1%
54080096 1
< 0.1%
53889024 1
< 0.1%
53659760 1
< 0.1%
53587296 1
< 0.1%
53554032 1
< 0.1%
53335072 1
< 0.1%
53325216 1
< 0.1%

12시
Real number (ℝ)

ZEROS 

Distinct5004
Distinct (%)50.2%
Missing33
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean1645090
Minimum0
Maximum54121088
Zeros2021
Zeros (%)20.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:16:44.582205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q118000
median180000
Q3800514
95-th percentile8995200
Maximum54121088
Range54121088
Interquartile range (IQR)782514

Descriptive statistics

Standard deviation5122017.4
Coefficient of variation (CV)3.1135182
Kurtosis53.938205
Mean1645090
Median Absolute Deviation (MAD)180000
Skewness6.6484585
Sum1.6396612 × 1010
Variance2.6235063 × 1013
MonotonicityNot monotonic
2023-12-12T16:16:44.747358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2021
 
20.2%
248400 53
 
0.5%
18000 41
 
0.4%
7200 38
 
0.4%
190800 35
 
0.4%
180000 31
 
0.3%
24000 29
 
0.3%
9000 28
 
0.3%
194400 24
 
0.2%
102240 23
 
0.2%
Other values (4994) 7644
76.4%
(Missing) 33
 
0.3%
ValueCountFrequency (%)
0 2021
20.2%
29 1
 
< 0.1%
106 1
 
< 0.1%
240 3
 
< 0.1%
480 1
 
< 0.1%
720 1
 
< 0.1%
960 3
 
< 0.1%
1200 2
 
< 0.1%
1296 1
 
< 0.1%
1301 1
 
< 0.1%
ValueCountFrequency (%)
54121088 1
< 0.1%
54105632 1
< 0.1%
54093760 1
< 0.1%
54058704 1
< 0.1%
53835152 1
< 0.1%
53654944 1
< 0.1%
53577552 1
< 0.1%
53552352 1
< 0.1%
53334400 1
< 0.1%
53278512 1
< 0.1%

13시
Real number (ℝ)

ZEROS 

Distinct5076
Distinct (%)50.9%
Missing26
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean1679279.2
Minimum0
Maximum54106752
Zeros2102
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:16:44.894713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116723.25
median177600
Q3829489.5
95-th percentile9356201.4
Maximum54106752
Range54106752
Interquartile range (IQR)812766.25

Descriptive statistics

Standard deviation5149527.3
Coefficient of variation (CV)3.0665105
Kurtosis52.417471
Mean1679279.2
Median Absolute Deviation (MAD)177600
Skewness6.5310222
Sum1.6749131 × 1010
Variance2.6517631 × 1013
MonotonicityNot monotonic
2023-12-12T16:16:45.033210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2102
 
21.0%
7200 47
 
0.5%
18000 46
 
0.5%
248400 44
 
0.4%
190800 35
 
0.4%
252000 28
 
0.3%
198000 26
 
0.3%
187200 24
 
0.2%
24000 23
 
0.2%
102240 23
 
0.2%
Other values (5066) 7576
75.8%
(Missing) 26
 
0.3%
ValueCountFrequency (%)
0 2102
21.0%
29 1
 
< 0.1%
60 1
 
< 0.1%
84 1
 
< 0.1%
240 7
 
0.1%
300 1
 
< 0.1%
480 2
 
< 0.1%
732 1
 
< 0.1%
768 1
 
< 0.1%
1080 1
 
< 0.1%
ValueCountFrequency (%)
54106752 1
< 0.1%
54103392 1
< 0.1%
54069008 1
< 0.1%
53990048 1
< 0.1%
53775680 1
< 0.1%
53692240 1
< 0.1%
53573072 1
< 0.1%
53554592 1
< 0.1%
53322864 1
< 0.1%
53287024 1
< 0.1%

14시
Real number (ℝ)

ZEROS 

Distinct5076
Distinct (%)50.9%
Missing31
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean1652946.1
Minimum0
Maximum54108768
Zeros2069
Zeros (%)20.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:16:45.492157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116000
median180000
Q3790560
95-th percentile9115785.6
Maximum54108768
Range54108768
Interquartile range (IQR)774560

Descriptive statistics

Standard deviation5129137.9
Coefficient of variation (CV)3.1030278
Kurtosis53.409543
Mean1652946.1
Median Absolute Deviation (MAD)180000
Skewness6.6089629
Sum1.647822 × 1010
Variance2.6308055 × 1013
MonotonicityNot monotonic
2023-12-12T16:16:45.609589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2069
 
20.7%
1920 46
 
0.5%
18000 46
 
0.5%
248400 43
 
0.4%
7200 41
 
0.4%
190800 37
 
0.4%
9000 28
 
0.3%
24000 25
 
0.2%
194400 23
 
0.2%
102240 22
 
0.2%
Other values (5066) 7589
75.9%
(Missing) 31
 
0.3%
ValueCountFrequency (%)
0 2069
20.7%
36 1
 
< 0.1%
96 1
 
< 0.1%
156 1
 
< 0.1%
187 1
 
< 0.1%
240 12
 
0.1%
576 2
 
< 0.1%
660 1
 
< 0.1%
720 1
 
< 0.1%
768 1
 
< 0.1%
ValueCountFrequency (%)
54108768 1
< 0.1%
54108544 1
< 0.1%
54061504 1
< 0.1%
53992400 1
< 0.1%
53867184 1
< 0.1%
53698288 1
< 0.1%
53577552 1
< 0.1%
53557392 1
< 0.1%
53314352 1
< 0.1%
53237296 1
< 0.1%

15시
Real number (ℝ)

ZEROS 

Distinct4893
Distinct (%)49.1%
Missing30
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean1557229.3
Minimum0
Maximum54107536
Zeros2109
Zeros (%)21.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:16:45.726237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19000
median140148
Q3680400
95-th percentile8304000
Maximum54107536
Range54107536
Interquartile range (IQR)671400

Descriptive statistics

Standard deviation5070094.8
Coefficient of variation (CV)3.2558435
Kurtosis56.347916
Mean1557229.3
Median Absolute Deviation (MAD)140148
Skewness6.8374194
Sum1.5525576 × 1010
Variance2.5705861 × 1013
MonotonicityNot monotonic
2023-12-12T16:16:45.844865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2109
 
21.1%
1920 103
 
1.0%
18000 69
 
0.7%
7200 60
 
0.6%
9000 32
 
0.3%
10800 32
 
0.3%
248400 30
 
0.3%
198000 29
 
0.3%
19800 27
 
0.3%
24000 24
 
0.2%
Other values (4883) 7455
74.6%
(Missing) 30
 
0.3%
ValueCountFrequency (%)
0 2109
21.1%
34 1
 
< 0.1%
84 1
 
< 0.1%
100 1
 
< 0.1%
240 3
 
< 0.1%
389 1
 
< 0.1%
480 2
 
< 0.1%
720 2
 
< 0.1%
768 1
 
< 0.1%
1027 1
 
< 0.1%
ValueCountFrequency (%)
54107536 1
< 0.1%
54101040 1
< 0.1%
54056912 1
< 0.1%
54001136 1
< 0.1%
53688656 1
< 0.1%
53642960 1
< 0.1%
53556048 1
< 0.1%
53549664 1
< 0.1%
53330480 1
< 0.1%
53313792 1
< 0.1%

16시
Real number (ℝ)

ZEROS 

Distinct4579
Distinct (%)45.9%
Missing31
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean1410942.9
Minimum0
Maximum54100928
Zeros2131
Zeros (%)21.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:16:45.969464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16480
median92160
Q3495000
95-th percentile7190400
Maximum54100928
Range54100928
Interquartile range (IQR)488520

Descriptive statistics

Standard deviation4994358.1
Coefficient of variation (CV)3.5397309
Kurtosis60.727011
Mean1410942.9
Median Absolute Deviation (MAD)92160
Skewness7.1781626
Sum1.406569 × 1010
Variance2.4943613 × 1013
MonotonicityNot monotonic
2023-12-12T16:16:46.099742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2131
 
21.3%
1920 126
 
1.3%
18000 91
 
0.9%
7200 83
 
0.8%
9000 65
 
0.7%
10800 54
 
0.5%
5760 45
 
0.4%
19800 35
 
0.4%
6480 30
 
0.3%
21600 29
 
0.3%
Other values (4569) 7280
72.8%
(Missing) 31
 
0.3%
ValueCountFrequency (%)
0 2131
21.3%
10 1
 
< 0.1%
24 1
 
< 0.1%
34 1
 
< 0.1%
77 1
 
< 0.1%
100 1
 
< 0.1%
120 1
 
< 0.1%
182 1
 
< 0.1%
192 1
 
< 0.1%
240 5
 
0.1%
ValueCountFrequency (%)
54100928 1
< 0.1%
54091632 1
< 0.1%
54046160 1
< 0.1%
53888576 1
< 0.1%
53771088 1
< 0.1%
53677904 1
< 0.1%
53539584 1
< 0.1%
53399920 1
< 0.1%
53375840 1
< 0.1%
53306512 1
< 0.1%

17시
Real number (ℝ)

ZEROS 

Distinct4076
Distinct (%)40.9%
Missing23
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean1234171.4
Minimum0
Maximum54314736
Zeros1964
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:16:46.216750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14680
median35073
Q3318000
95-th percentile5769600
Maximum54314736
Range54314736
Interquartile range (IQR)313320

Descriptive statistics

Standard deviation4927857.3
Coefficient of variation (CV)3.9928467
Kurtosis65.254602
Mean1234171.4
Median Absolute Deviation (MAD)35073
Skewness7.5380492
Sum1.2313328 × 1010
Variance2.4283777 × 1013
MonotonicityNot monotonic
2023-12-12T16:16:46.338587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1964
 
19.6%
7200 199
 
2.0%
9000 163
 
1.6%
1920 142
 
1.4%
18000 120
 
1.2%
10800 80
 
0.8%
5760 75
 
0.8%
14400 65
 
0.7%
6480 63
 
0.6%
5040 61
 
0.6%
Other values (4066) 7045
70.5%
ValueCountFrequency (%)
0 1964
19.6%
10 1
 
< 0.1%
48 1
 
< 0.1%
91 1
 
< 0.1%
96 1
 
< 0.1%
120 1
 
< 0.1%
121 2
 
< 0.1%
144 1
 
< 0.1%
160 2
 
< 0.1%
163 2
 
< 0.1%
ValueCountFrequency (%)
54314736 1
< 0.1%
54196800 1
< 0.1%
53997440 1
< 0.1%
53941216 1
< 0.1%
53806032 1
< 0.1%
53687648 1
< 0.1%
53681376 1
< 0.1%
53524240 1
< 0.1%
53305056 1
< 0.1%
53249840 1
< 0.1%

18시
Real number (ℝ)

ZEROS 

Distinct3926
Distinct (%)39.3%
Missing19
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean1334064.3
Minimum0
Maximum54407024
Zeros2138
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:16:46.487948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1720
median48000
Q3790200
95-th percentile5746748
Maximum54407024
Range54407024
Interquartile range (IQR)789480

Descriptive statistics

Standard deviation4903704.8
Coefficient of variation (CV)3.6757636
Kurtosis66.181015
Mean1334064.3
Median Absolute Deviation (MAD)48000
Skewness7.6046136
Sum1.3315295 × 1010
Variance2.4046321 × 1013
MonotonicityNot monotonic
2023-12-12T16:16:46.615480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2138
 
21.4%
720 206
 
2.1%
1440 140
 
1.4%
1800 85
 
0.9%
7200 80
 
0.8%
3600 73
 
0.7%
2400 56
 
0.6%
240 55
 
0.5%
18000 46
 
0.5%
6000 45
 
0.4%
Other values (3916) 7057
70.6%
ValueCountFrequency (%)
0 2138
21.4%
10 1
 
< 0.1%
14 2
 
< 0.1%
24 2
 
< 0.1%
29 1
 
< 0.1%
43 1
 
< 0.1%
48 16
 
0.2%
77 1
 
< 0.1%
80 5
 
0.1%
96 8
 
0.1%
ValueCountFrequency (%)
54407024 1
< 0.1%
54365360 1
< 0.1%
54078864 1
< 0.1%
53887680 1
< 0.1%
53766944 1
< 0.1%
53681040 1
< 0.1%
53662448 1
< 0.1%
53506656 1
< 0.1%
53347504 1
< 0.1%
53343360 1
< 0.1%

19시
Real number (ℝ)

ZEROS 

Distinct2776
Distinct (%)27.8%
Missing13
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1224370.3
Minimum0
Maximum54409712
Zeros4180
Zeros (%)41.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:16:46.746005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6000
Q3642240
95-th percentile5668866
Maximum54409712
Range54409712
Interquartile range (IQR)642240

Descriptive statistics

Standard deviation4911748.1
Coefficient of variation (CV)4.0116526
Kurtosis66.597699
Mean1224370.3
Median Absolute Deviation (MAD)6000
Skewness7.6474475
Sum1.2227786 × 1010
Variance2.412527 × 1013
MonotonicityNot monotonic
2023-12-12T16:16:46.928604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4180
41.8%
7200 108
 
1.1%
18000 63
 
0.6%
9000 57
 
0.6%
1267200 44
 
0.4%
240 43
 
0.4%
3600 38
 
0.4%
5760 34
 
0.3%
693120 33
 
0.3%
1920 32
 
0.3%
Other values (2766) 5355
53.5%
ValueCountFrequency (%)
0 4180
41.8%
5 1
 
< 0.1%
24 2
 
< 0.1%
48 5
 
0.1%
58 1
 
< 0.1%
62 1
 
< 0.1%
77 1
 
< 0.1%
80 3
 
< 0.1%
91 2
 
< 0.1%
96 5
 
0.1%
ValueCountFrequency (%)
54409712 1
< 0.1%
54367824 1
< 0.1%
54076064 1
< 0.1%
53914784 1
< 0.1%
53716320 1
< 0.1%
53704112 1
< 0.1%
53666144 1
< 0.1%
53541488 1
< 0.1%
53320064 1
< 0.1%
53299568 1
< 0.1%

20시
Real number (ℝ)

ZEROS 

Distinct2073
Distinct (%)20.8%
Missing12
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1106418.1
Minimum0
Maximum54414080
Zeros5450
Zeros (%)54.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:16:47.116382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3263880
95-th percentile5484000
Maximum54414080
Range54414080
Interquartile range (IQR)263880

Descriptive statistics

Standard deviation4917822.3
Coefficient of variation (CV)4.4448135
Kurtosis67.23419
Mean1106418.1
Median Absolute Deviation (MAD)0
Skewness7.7077724
Sum1.1050904 × 1010
Variance2.4184976 × 1013
MonotonicityNot monotonic
2023-12-12T16:16:47.312965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5450
54.5%
7200 125
 
1.2%
18000 115
 
1.1%
9000 92
 
0.9%
1920 55
 
0.5%
19800 53
 
0.5%
240 46
 
0.5%
960 42
 
0.4%
10800 41
 
0.4%
640080 38
 
0.4%
Other values (2063) 3931
39.3%
ValueCountFrequency (%)
0 5450
54.5%
29 1
 
< 0.1%
38 1
 
< 0.1%
48 4
 
< 0.1%
53 2
 
< 0.1%
77 1
 
< 0.1%
80 10
 
0.1%
96 2
 
< 0.1%
100 5
 
0.1%
121 4
 
< 0.1%
ValueCountFrequency (%)
54414080 1
< 0.1%
54365472 1
< 0.1%
54094320 1
< 0.1%
54007296 1
< 0.1%
53714416 1
< 0.1%
53690672 1
< 0.1%
53665136 1
< 0.1%
53535440 1
< 0.1%
53307072 1
< 0.1%
53306624 1
< 0.1%

21시
Real number (ℝ)

ZEROS 

Distinct1633
Distinct (%)16.4%
Missing13
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean998465.56
Minimum0
Maximum54418448
Zeros6663
Zeros (%)66.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:16:47.495949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q312600
95-th percentile5375311.2
Maximum54418448
Range54418448
Interquartile range (IQR)12600

Descriptive statistics

Standard deviation4915279
Coefficient of variation (CV)4.9228328
Kurtosis68.236209
Mean998465.56
Median Absolute Deviation (MAD)0
Skewness7.7950343
Sum9.9716756 × 109
Variance2.4159968 × 1013
MonotonicityNot monotonic
2023-12-12T16:16:47.680570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6663
66.6%
7200 132
 
1.3%
18000 132
 
1.3%
9000 112
 
1.1%
1920 98
 
1.0%
19800 96
 
1.0%
10800 60
 
0.6%
16200 46
 
0.5%
21600 36
 
0.4%
14400 31
 
0.3%
Other values (1623) 2581
 
25.8%
ValueCountFrequency (%)
0 6663
66.6%
12 1
 
< 0.1%
240 2
 
< 0.1%
720 19
 
0.2%
768 1
 
< 0.1%
960 26
 
0.3%
1080 1
 
< 0.1%
1440 11
 
0.1%
1446 1
 
< 0.1%
1800 7
 
0.1%
ValueCountFrequency (%)
54418448 1
< 0.1%
54359312 1
< 0.1%
54271168 1
< 0.1%
54101712 1
< 0.1%
53739280 1
< 0.1%
53676784 1
< 0.1%
53675664 1
< 0.1%
53526816 1
< 0.1%
53347168 1
< 0.1%
53304384 1
< 0.1%

22시
Real number (ℝ)

ZEROS 

Distinct1188
Distinct (%)11.9%
Missing14
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean957746.92
Minimum0
Maximum54478480
Zeros7127
Zeros (%)71.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:16:47.885981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35760
95-th percentile5433057
Maximum54478480
Range54478480
Interquartile range (IQR)5760

Descriptive statistics

Standard deviation4924861.2
Coefficient of variation (CV)5.1421321
Kurtosis68.169986
Mean957746.92
Median Absolute Deviation (MAD)0
Skewness7.7942571
Sum9.5640607 × 109
Variance2.4254258 × 1013
MonotonicityNot monotonic
2023-12-12T16:16:48.083360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7127
71.3%
18000 175
 
1.8%
1920 153
 
1.5%
7200 145
 
1.5%
19800 114
 
1.1%
9000 105
 
1.1%
10800 82
 
0.8%
14400 49
 
0.5%
11520 46
 
0.5%
16200 45
 
0.4%
Other values (1178) 1945
 
19.4%
ValueCountFrequency (%)
0 7127
71.3%
12 1
 
< 0.1%
240 1
 
< 0.1%
720 36
 
0.4%
960 15
 
0.1%
1440 16
 
0.2%
1920 153
 
1.5%
2160 28
 
0.3%
2400 4
 
< 0.1%
2640 4
 
< 0.1%
ValueCountFrequency (%)
54478480 1
< 0.1%
54421472 1
< 0.1%
54369056 1
< 0.1%
54093984 1
< 0.1%
53806816 1
< 0.1%
53672752 1
< 0.1%
53668384 1
< 0.1%
53518192 1
< 0.1%
53339328 1
< 0.1%
53320736 1
< 0.1%

23시
Real number (ℝ)

ZEROS 

Distinct1017
Distinct (%)10.2%
Missing14
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean947595.85
Minimum0
Maximum54499312
Zeros7403
Zeros (%)74.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:16:48.282177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31920
95-th percentile5358038
Maximum54499312
Range54499312
Interquartile range (IQR)1920

Descriptive statistics

Standard deviation4926606.4
Coefficient of variation (CV)5.1990586
Kurtosis68.293541
Mean947595.85
Median Absolute Deviation (MAD)0
Skewness7.8031492
Sum9.4626922 × 109
Variance2.4271451 × 1013
MonotonicityNot monotonic
2023-12-12T16:16:48.519023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7403
74.0%
1920 161
 
1.6%
7200 157
 
1.6%
9000 157
 
1.6%
18000 156
 
1.6%
10800 110
 
1.1%
16200 66
 
0.7%
19800 60
 
0.6%
6480 52
 
0.5%
5760 42
 
0.4%
Other values (1007) 1622
 
16.2%
ValueCountFrequency (%)
0 7403
74.0%
156 1
 
< 0.1%
288 1
 
< 0.1%
720 30
 
0.3%
960 5
 
0.1%
1200 5
 
0.1%
1344 1
 
< 0.1%
1440 10
 
0.1%
1824 1
 
< 0.1%
1920 161
 
1.6%
ValueCountFrequency (%)
54499312 1
< 0.1%
54428304 1
< 0.1%
54348560 1
< 0.1%
54085584 1
< 0.1%
53830448 1
< 0.1%
53679024 1
< 0.1%
53669616 1
< 0.1%
53518752 1
< 0.1%
53320064 1
< 0.1%
53230912 1
< 0.1%

24시
Real number (ℝ)

ZEROS 

Distinct948
Distinct (%)9.5%
Missing14
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean947114.72
Minimum0
Maximum54486768
Zeros7457
Zeros (%)74.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:16:48.664448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31440
95-th percentile5376666
Maximum54486768
Range54486768
Interquartile range (IQR)1440

Descriptive statistics

Standard deviation4933438.8
Coefficient of variation (CV)5.2089136
Kurtosis68.172233
Mean947114.72
Median Absolute Deviation (MAD)0
Skewness7.794181
Sum9.4578876 × 109
Variance2.4338818 × 1013
MonotonicityNot monotonic
2023-12-12T16:16:48.822763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7457
74.6%
7200 208
 
2.1%
1920 167
 
1.7%
9000 155
 
1.6%
18000 139
 
1.4%
10800 94
 
0.9%
16200 66
 
0.7%
14400 66
 
0.7%
5760 61
 
0.6%
5040 49
 
0.5%
Other values (938) 1524
 
15.2%
ValueCountFrequency (%)
0 7457
74.6%
132 1
 
< 0.1%
144 1
 
< 0.1%
492 1
 
< 0.1%
720 23
 
0.2%
960 1
 
< 0.1%
972 1
 
< 0.1%
1332 1
 
< 0.1%
1440 16
 
0.2%
1920 167
 
1.7%
ValueCountFrequency (%)
54486768 1
< 0.1%
54418336 1
< 0.1%
54369056 1
< 0.1%
54111680 1
< 0.1%
53804016 1
< 0.1%
53678464 1
< 0.1%
53660880 1
< 0.1%
53520208 1
< 0.1%
53307632 1
< 0.1%
53241440 1
< 0.1%

합계
Real number (ℝ)

ZEROS 

Distinct8230
Distinct (%)82.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28450668
Minimum0
Maximum1.2996323 × 109
Zeros381
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:16:48.979046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile48960
Q1872676
median2702544
Q37039200
95-th percentile1.2184552 × 108
Maximum1.2996323 × 109
Range1.2996323 × 109
Interquartile range (IQR)6166524

Descriptive statistics

Standard deviation1.1730434 × 108
Coefficient of variation (CV)4.1230785
Kurtosis68.482148
Mean28450668
Median Absolute Deviation (MAD)2126400
Skewness7.786508
Sum2.8450668 × 1011
Variance1.3760307 × 1016
MonotonicityNot monotonic
2023-12-12T16:16:49.123542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 381
 
3.8%
240 42
 
0.4%
48960 13
 
0.1%
2554560 8
 
0.1%
3659400 7
 
0.1%
3920400 7
 
0.1%
426000 7
 
0.1%
522000 6
 
0.1%
414000 6
 
0.1%
3702600 6
 
0.1%
Other values (8220) 9517
95.2%
ValueCountFrequency (%)
0 381
3.8%
197 1
 
< 0.1%
240 42
 
0.4%
480 2
 
< 0.1%
927 1
 
< 0.1%
1200 2
 
< 0.1%
2880 1
 
< 0.1%
3120 1
 
< 0.1%
3360 2
 
< 0.1%
3600 1
 
< 0.1%
ValueCountFrequency (%)
1299632320 1
< 0.1%
1298276672 1
< 0.1%
1298039008 1
< 0.1%
1296864128 1
< 0.1%
1294763120 1
< 0.1%
1287928880 1
< 0.1%
1286291104 1
< 0.1%
1283600864 1
< 0.1%
1283465904 1
< 0.1%
1280452992 1
< 0.1%

주소지
Categorical

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
충남 태안군 원북면 발전로 447-40 태안발전본부
2878 
인천광역시 서구 장도로 57
959 
전라남도 영암군 삼호읍 에프원로 2 영암 F1 태양광 발전소
672 
경기도 평택시 포승읍 남양만로 175-2 평택발전본부
612 
충남 연기군 남면 고정리 599외 16필지
516 
Other values (20)
4363 

Length

Max length33
Median length28
Mean length24.1709
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row충남 태안군 원북면 발전로 447-40 태안발전본부
2nd row인천광역시 서구 장도로 57
3rd row충남 태안군 원북면 발전로 447-40 태안발전본부
4th row충남 태안군 원북면 발전로 447-40 태안발전본부
5th row충남 연기군 금남면 두만리 68-8외 39필지

Common Values

ValueCountFrequency (%)
충남 태안군 원북면 발전로 447-40 태안발전본부 2878
28.8%
인천광역시 서구 장도로 57 959
 
9.6%
전라남도 영암군 삼호읍 에프원로 2 영암 F1 태양광 발전소 672
 
6.7%
경기도 평택시 포승읍 남양만로 175-2 평택발전본부 612
 
6.1%
충남 연기군 남면 고정리 599외 16필지 516
 
5.2%
충남 연기군 금남면 두만리 68-8외 39필지 505
 
5.1%
전남 화순군 동면 청궁리 산1번지 500
 
5.0%
전북 군산시 구암 3.1로 91-5 군산발전처 451
 
4.5%
아산시 영인면 구성리 282-3 일원 376
 
3.8%
충남 연기군 남면 송원리 530외 12필지 361
 
3.6%
Other values (15) 2170
21.7%

Length

2023-12-12T16:16:49.301917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충남 4260
 
7.5%
447-40 2878
 
5.1%
태안발전본부 2878
 
5.1%
태안군 2878
 
5.1%
발전로 2878
 
5.1%
원북면 2878
 
5.1%
경기도 1924
 
3.4%
연기군 1382
 
2.4%
인천광역시 959
 
1.7%
서구 959
 
1.7%
Other values (92) 32574
57.7%

Sample

날짜발전기명용량_메가와트01시02시03시04시05시06시07시08시09시10시11시12시13시14시15시16시17시18시19시20시21시22시23시24시합계주소지
261922021-08-16태안태양광2단계_ESS8.07200054000420004200036000360007200091800022980003576000436800055380001902000960008400072000000420009000090000840007800019590000충남 태안군 원북면 발전로 447-40 태안발전본부
356622019-02-24[서인천]발전부지내 태양광 1단계1.099000000018240163200385920572160690240727680729600634560531840333120873600000004873920인천광역시 서구 장도로 57
337182020-11-05태안_ESS#2_2단계_#1옥내저탄장8.0000000000000000036001753200174960087300000004379400충남 태안군 원북면 발전로 447-40 태안발전본부
342262020-10-18태안부지 태양광 2단계(대지)8.2670000000660000248400040560004260002460002280002820000468000032640001452000694800070260002928000000037218000충남 태안군 원북면 발전로 447-40 태안발전본부
149402021-06-18세종시자전거도로태양광#30.688000000364812912646089187281264966721200489326412777659664549121014723748865280000952128충남 연기군 금남면 두만리 68-8외 39필지
352332020-11-29화순풍력 ESS1.250000000001139040115632000000000000002295360전남 화순군 동면 청궁리 산1번지
63672022-02-25태안발전부지태양광1호기1.8830000000144001800004500002628002484002484002484002484002484003492001195200126720088020000005841000충남 태안군 원북면 발전로 447-40 태안발전본부
66822022-02-03태안저탄장태양광1호기2.809000000006720013680020640019440018240017520013728002028000144720017712001740000724800000010046400충남 태안군 원북면 발전로 447-40 태안발전본부
154202021-02-23세종시폐기물매립장태양광1.625000000023160389640795120107400012265201276800119724010681207717204540801242000000008400600충남 연기군 남면 고정리 599외 16필지
348482020-11-06한국서부발전(주)태양광발전소1.00000000266409576025200046080223202160022320223202376024480858240159840144000001576800전남 고흥군 도화면 봉산리 466-7~10
날짜발전기명용량_메가와트01시02시03시04시05시06시07시08시09시10시11시12시13시14시15시16시17시18시19시20시21시22시23시24시합계주소지
68472022-02-10태안태양광발전기0.1200000000338414323421394932550842469734056030010144721478000000293506충남 태안군 원북면 발전로 447-40 태안발전본부
148352021-10-01세종시자전거도로태양광#30.6880000000101762836872672165024375984408528411168350976247056109584245760000002204112충남 연기군 금남면 두만리 68-8외 39필지
17982018-01-28영암에프원태양광b13.296000000007392003820800744960094944009686400800640037248004243200232320043200000000049920000전라남도 영암군 삼호읍 에프원로 2 영암 F1 태양광 발전소
184132021-12-07안산성곡태양광0.1700000000576024480616809744010200096000595202856057600000000481200경기도 안산시 단원구 성곡동639-1
348432020-11-11한국서부발전(주)태양광발전소1.0000000020880257760489600648007920576022464056952038808013464085680094248037224021600004337280전남 고흥군 도화면 봉산리 466-7~10
266592021-12-20태안태양광발전기0.120000000021171210628810337342839728238287571077615980000000174533충남 태안군 원북면 발전로 447-40 태안발전본부
91722021-07-07[평택]발전부지내 1단계 태양광 ESS2.0000000000000000010800986400626400000001623600경기도 평택시 포승읍 남양만로 175-2 평택발전본부
501362019-01-14태안태양광2단계_ESS8.0000000000000000004602000468000015000000009432000충남 태안군 원북면 발전로 447-40 태안발전본부
294442021-09-01화순풍력 ESS1.25000000000000011124001225680129120000000002467200전남 화순군 동면 청궁리 산1번지
159362021-05-14세종시폐기물매립장태양광ESS1.0192019201920192019201920192019201920192079872098688063744019201920192019200009601920192019202456640충남 연기군 남면 고정리 599외 16필지