Overview

Dataset statistics

Number of variables32
Number of observations3742
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 MiB
Average record size in memory287.0 B

Variable types

DateTime1
Categorical11
Numeric20

Dataset

Description한국남부발전(주)_부산신항 태양광발전실적에 대한 데이터로 년월일, 호기, 발전량(총량, 평균, 최대, 최소) 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15043388/fileData.do

Alerts

호기 has constant value ""Constant
최소(kw) has constant value ""Constant
1 has constant value ""Constant
2 has constant value ""Constant
3 has constant value ""Constant
4 has constant value ""Constant
5 has constant value ""Constant
21 has constant value ""Constant
22 has constant value ""Constant
23 has constant value ""Constant
24 has constant value ""Constant
년월일 has unique valuesUnique
총량(kw) has 108 (2.9%) zerosZeros
평균(kw) has 131 (3.5%) zerosZeros
최대(kw) has 108 (2.9%) zerosZeros
최대(시간별_kw) has 108 (2.9%) zerosZeros
최소(시간별_kw) has 108 (2.9%) zerosZeros
6 has 3565 (95.3%) zerosZeros
7 has 2323 (62.1%) zerosZeros
8 has 1090 (29.1%) zerosZeros
9 has 245 (6.5%) zerosZeros
10 has 200 (5.3%) zerosZeros
11 has 172 (4.6%) zerosZeros
12 has 163 (4.4%) zerosZeros
13 has 170 (4.5%) zerosZeros
14 has 167 (4.5%) zerosZeros
15 has 157 (4.2%) zerosZeros
16 has 172 (4.6%) zerosZeros
17 has 227 (6.1%) zerosZeros
18 has 989 (26.4%) zerosZeros
19 has 2283 (61.0%) zerosZeros
20 has 3545 (94.7%) zerosZeros

Reproduction

Analysis started2023-12-12 00:07:34.899205
Analysis finished2023-12-12 00:07:35.268529
Duration0.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년월일
Date

UNIQUE 

Distinct3742
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
Minimum2013-01-01 00:00:00
Maximum2023-03-31 00:00:00
2023-12-12T09:07:35.321752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:07:35.447535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

호기
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
1
3742 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 3742
100.0%

Length

2023-12-12T09:07:35.586568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:07:35.689783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3742
100.0%

총량(kw)
Real number (ℝ)

ZEROS 

Distinct3258
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean307.2911
Minimum0
Maximum675.36
Zeros108
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:07:35.784387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30.2292
Q1192.03
median288.876
Q3435.45
95-th percentile587.757
Maximum675.36
Range675.36
Interquartile range (IQR)243.42

Descriptive statistics

Standard deviation166.22046
Coefficient of variation (CV)0.54092181
Kurtosis-0.80965828
Mean307.2911
Median Absolute Deviation (MAD)121.506
Skewness0.11449546
Sum1149883.3
Variance27629.24
MonotonicityNot monotonic
2023-12-12T09:07:35.939062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 108
 
2.9%
274.08 4
 
0.1%
265.92 4
 
0.1%
244.2 4
 
0.1%
243.96 3
 
0.1%
196.8 3
 
0.1%
526.32 3
 
0.1%
95.52 3
 
0.1%
458.88 3
 
0.1%
154.764 3
 
0.1%
Other values (3248) 3604
96.3%
ValueCountFrequency (%)
0.0 108
2.9%
0.12 1
 
< 0.1%
0.192 1
 
< 0.1%
0.96 1
 
< 0.1%
1.56 1
 
< 0.1%
2.04 1
 
< 0.1%
2.4 1
 
< 0.1%
2.448 1
 
< 0.1%
2.712 1
 
< 0.1%
2.76 1
 
< 0.1%
ValueCountFrequency (%)
675.36 1
< 0.1%
674.448 1
< 0.1%
671.352 1
< 0.1%
670.512 1
< 0.1%
663.12 1
< 0.1%
662.136 1
< 0.1%
659.928 1
< 0.1%
659.244 1
< 0.1%
654.96 1
< 0.1%
654.228 1
< 0.1%

평균(kw)
Real number (ℝ)

ZEROS 

Distinct878
Distinct (%)23.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.804029
Minimum0
Maximum28
Zeros131
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:07:36.095778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median12
Q318
95-th percentile24.4165
Maximum28
Range28
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.928327
Coefficient of variation (CV)0.54110524
Kurtosis-0.80766102
Mean12.804029
Median Absolute Deviation (MAD)5
Skewness0.11518143
Sum47912.675
Variance48.001715
MonotonicityNot monotonic
2023-12-12T09:07:36.276798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0 180
 
4.8%
11.0 164
 
4.4%
9.0 162
 
4.3%
12.0 141
 
3.8%
0.0 131
 
3.5%
14.0 120
 
3.2%
13.0 116
 
3.1%
8.0 115
 
3.1%
15.0 111
 
3.0%
16.0 108
 
2.9%
Other values (868) 2394
64.0%
ValueCountFrequency (%)
0.0 131
3.5%
0.115 1
 
< 0.1%
0.255 1
 
< 0.1%
0.285 1
 
< 0.1%
0.35 1
 
< 0.1%
0.505 1
 
< 0.1%
0.675 1
 
< 0.1%
0.73 1
 
< 0.1%
0.81 1
 
< 0.1%
0.85 1
 
< 0.1%
ValueCountFrequency (%)
28.0 6
 
0.2%
27.0 34
0.9%
26.475 1
 
< 0.1%
26.0 61
1.6%
25.95 1
 
< 0.1%
25.245 1
 
< 0.1%
25.22 1
 
< 0.1%
25.195 1
 
< 0.1%
25.16 1
 
< 0.1%
25.15 1
 
< 0.1%

최대(kw)
Real number (ℝ)

ZEROS 

Distinct2054
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.924034
Minimum0
Maximum87.384
Zeros108
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:07:36.434612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.4462
Q137.173
median49.674
Q365.397
95-th percentile77.604
Maximum87.384
Range87.384
Interquartile range (IQR)28.224

Descriptive statistics

Standard deviation20.612947
Coefficient of variation (CV)0.42132558
Kurtosis-0.38966243
Mean48.924034
Median Absolute Deviation (MAD)14.436
Skewness-0.50460546
Sum183073.73
Variance424.89357
MonotonicityNot monotonic
2023-12-12T09:07:36.590110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 108
 
2.9%
47.04 12
 
0.3%
43.68 12
 
0.3%
42.6 10
 
0.3%
74.76 9
 
0.2%
60.24 9
 
0.2%
70.44 9
 
0.2%
45.0 9
 
0.2%
43.2 9
 
0.2%
68.04 9
 
0.2%
Other values (2044) 3546
94.8%
ValueCountFrequency (%)
0.0 108
2.9%
0.108 1
 
< 0.1%
0.168 1
 
< 0.1%
0.36 1
 
< 0.1%
0.876 1
 
< 0.1%
1.128 1
 
< 0.1%
1.32 1
 
< 0.1%
1.548 2
 
0.1%
2.04 1
 
< 0.1%
2.16 2
 
0.1%
ValueCountFrequency (%)
87.384 1
< 0.1%
86.58 1
< 0.1%
85.392 1
< 0.1%
84.792 1
< 0.1%
83.952 1
< 0.1%
83.76 1
< 0.1%
83.58 1
< 0.1%
83.532 1
< 0.1%
83.46 1
< 0.1%
83.292 1
< 0.1%

최소(kw)
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
0
3742 

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 3742
100.0%

Length

2023-12-12T09:07:36.795747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:07:36.922270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3742
100.0%

최대(시간별_kw)
Real number (ℝ)

ZEROS 

Distinct2127
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.923585
Minimum0
Maximum87.384
Zeros108
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:07:37.077245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.4462
Q137.17
median49.674
Q365.395
95-th percentile77.604
Maximum87.384
Range87.384
Interquartile range (IQR)28.225

Descriptive statistics

Standard deviation20.612829
Coefficient of variation (CV)0.42132704
Kurtosis-0.38965993
Mean48.923585
Median Absolute Deviation (MAD)14.436
Skewness-0.50461295
Sum183072.05
Variance424.88872
MonotonicityNot monotonic
2023-12-12T09:07:37.286452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 108
 
2.9%
43.68 12
 
0.3%
47.04 12
 
0.3%
42.6 10
 
0.3%
68.04 9
 
0.2%
43.2 9
 
0.2%
39.84 9
 
0.2%
45.72 9
 
0.2%
74.76 9
 
0.2%
75.96 9
 
0.2%
Other values (2117) 3546
94.8%
ValueCountFrequency (%)
0.0 108
2.9%
0.108 1
 
< 0.1%
0.168 1
 
< 0.1%
0.36 1
 
< 0.1%
0.876 1
 
< 0.1%
1.128 1
 
< 0.1%
1.32 1
 
< 0.1%
1.54 1
 
< 0.1%
1.548 1
 
< 0.1%
2.04 1
 
< 0.1%
ValueCountFrequency (%)
87.384 1
< 0.1%
86.58 1
< 0.1%
85.392 1
< 0.1%
84.79 1
< 0.1%
83.952 1
< 0.1%
83.76 1
< 0.1%
83.58 1
< 0.1%
83.532 1
< 0.1%
83.46 1
< 0.1%
83.292 1
< 0.1%

최소(시간별_kw)
Real number (ℝ)

ZEROS 

Distinct587
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3729123
Minimum0
Maximum9.24
Zeros108
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:07:37.517983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.012
Q10.12
median0.648
Q32.123
95-th percentile4.8897
Maximum9.24
Range9.24
Interquartile range (IQR)2.003

Descriptive statistics

Standard deviation1.6365775
Coefficient of variation (CV)1.1920481
Kurtosis1.5809683
Mean1.3729123
Median Absolute Deviation (MAD)0.588
Skewness1.462457
Sum5137.438
Variance2.678386
MonotonicityNot monotonic
2023-12-12T09:07:37.685685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.12 284
 
7.6%
0.012 139
 
3.7%
0.24 133
 
3.6%
0.36 111
 
3.0%
0.0 108
 
2.9%
0.6 87
 
2.3%
0.1 64
 
1.7%
0.48 64
 
1.7%
0.06 55
 
1.5%
0.72 54
 
1.4%
Other values (577) 2643
70.6%
ValueCountFrequency (%)
0.0 108
2.9%
0.01 42
 
1.1%
0.012 139
3.7%
0.02 19
 
0.5%
0.024 50
 
1.3%
0.03 18
 
0.5%
0.036 42
 
1.1%
0.04 9
 
0.2%
0.048 35
 
0.9%
0.05 1
 
< 0.1%
ValueCountFrequency (%)
9.24 1
 
< 0.1%
8.64 1
 
< 0.1%
8.52 1
 
< 0.1%
8.4 1
 
< 0.1%
8.376 1
 
< 0.1%
8.28 2
0.1%
8.16 4
0.1%
7.72 1
 
< 0.1%
7.56 1
 
< 0.1%
7.38 1
 
< 0.1%

1
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
0
3742 

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 3742
100.0%

Length

2023-12-12T09:07:37.824502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:07:37.973602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3742
100.0%

2
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
0
3742 

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 3742
100.0%

Length

2023-12-12T09:07:38.125721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:07:38.241989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3742
100.0%

3
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
0
3742 

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 3742
100.0%

Length

2023-12-12T09:07:38.362572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:07:38.502298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3742
100.0%

4
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
0
3742 

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 3742
100.0%

Length

2023-12-12T09:07:38.633902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:07:38.787667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3742
100.0%

5
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
0
3742 

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 3742
100.0%

Length

2023-12-12T09:07:38.917530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:07:39.054363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3742
100.0%

6
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008748263
Minimum0
Maximum1.272
Zeros3565
Zeros (%)95.3%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:07:39.208381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.272
Range1.272
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.061104266
Coefficient of variation (CV)6.9847313
Kurtosis147.68394
Mean0.008748263
Median Absolute Deviation (MAD)0
Skewness10.858764
Sum32.736
Variance0.0037337313
MonotonicityNot monotonic
2023-12-12T09:07:39.406658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0.0 3565
95.3%
0.12 37
 
1.0%
0.012 31
 
0.8%
0.24 12
 
0.3%
0.06 10
 
0.3%
0.048 7
 
0.2%
0.036 6
 
0.2%
0.024 6
 
0.2%
0.072 5
 
0.1%
0.204 4
 
0.1%
Other values (36) 59
 
1.6%
ValueCountFrequency (%)
0.0 3565
95.3%
0.012 31
 
0.8%
0.024 6
 
0.2%
0.036 6
 
0.2%
0.048 7
 
0.2%
0.06 10
 
0.3%
0.072 5
 
0.1%
0.084 2
 
0.1%
0.096 3
 
0.1%
0.108 2
 
0.1%
ValueCountFrequency (%)
1.272 1
 
< 0.1%
1.116 1
 
< 0.1%
0.864 1
 
< 0.1%
0.852 1
 
< 0.1%
0.84 1
 
< 0.1%
0.828 1
 
< 0.1%
0.732 1
 
< 0.1%
0.624 2
0.1%
0.6 3
0.1%
0.588 2
0.1%

7
Real number (ℝ)

ZEROS 

Distinct491
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2295933
Minimum0
Maximum12.084
Zeros2323
Zeros (%)62.1%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:07:39.587320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.152
95-th percentile7.44
Maximum12.084
Range12.084
Interquartile range (IQR)1.152

Descriptive statistics

Standard deviation2.3911208
Coefficient of variation (CV)1.9446437
Kurtosis3.5790568
Mean1.2295933
Median Absolute Deviation (MAD)0
Skewness2.1179893
Sum4601.138
Variance5.7174586
MonotonicityNot monotonic
2023-12-12T09:07:40.068467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2323
62.1%
0.12 46
 
1.2%
0.24 36
 
1.0%
0.36 31
 
0.8%
0.6 24
 
0.6%
0.96 24
 
0.6%
0.012 23
 
0.6%
0.72 21
 
0.6%
0.48 21
 
0.6%
3.48 15
 
0.4%
Other values (481) 1178
31.5%
ValueCountFrequency (%)
0.0 2323
62.1%
0.012 23
 
0.6%
0.024 10
 
0.3%
0.036 12
 
0.3%
0.048 5
 
0.1%
0.06 5
 
0.1%
0.072 5
 
0.1%
0.084 7
 
0.2%
0.096 3
 
0.1%
0.108 6
 
0.2%
ValueCountFrequency (%)
12.084 1
< 0.1%
11.4 1
< 0.1%
11.28 1
< 0.1%
11.268 1
< 0.1%
11.04 1
< 0.1%
10.944 1
< 0.1%
10.86 1
< 0.1%
10.776 1
< 0.1%
10.728 1
< 0.1%
10.668 1
< 0.1%

8
Real number (ℝ)

ZEROS 

Distinct1100
Distinct (%)29.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.3766237
Minimum0
Maximum30.732
Zeros1090
Zeros (%)29.1%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:07:40.242048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.43
Q311.211
95-th percentile22.92
Maximum30.732
Range30.732
Interquartile range (IQR)11.211

Descriptive statistics

Standard deviation7.8699983
Coefficient of variation (CV)1.2341952
Kurtosis0.0066025153
Mean6.3766237
Median Absolute Deviation (MAD)2.43
Skewness1.0993328
Sum23861.326
Variance61.936874
MonotonicityNot monotonic
2023-12-12T09:07:40.379904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1090
29.1%
0.12 69
 
1.8%
0.24 43
 
1.1%
0.012 32
 
0.9%
0.36 30
 
0.8%
0.48 30
 
0.8%
0.6 27
 
0.7%
1.32 23
 
0.6%
1.44 20
 
0.5%
0.72 17
 
0.5%
Other values (1090) 2361
63.1%
ValueCountFrequency (%)
0.0 1090
29.1%
0.01 4
 
0.1%
0.012 32
 
0.9%
0.024 15
 
0.4%
0.036 13
 
0.3%
0.048 7
 
0.2%
0.06 5
 
0.1%
0.072 3
 
0.1%
0.084 6
 
0.2%
0.096 4
 
0.1%
ValueCountFrequency (%)
30.732 1
< 0.1%
30.264 2
0.1%
30.096 1
< 0.1%
29.952 1
< 0.1%
29.76 1
< 0.1%
29.688 1
< 0.1%
29.28 1
< 0.1%
28.92 1
< 0.1%
28.8 1
< 0.1%
28.68 1
< 0.1%

9
Real number (ℝ)

ZEROS 

Distinct1653
Distinct (%)44.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.1713
Minimum0
Maximum47.52
Zeros245
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:07:40.559750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.064
median12.96
Q326.64
95-th percentile39.5382
Maximum47.52
Range47.52
Interquartile range (IQR)21.576

Descriptive statistics

Standard deviation12.858094
Coefficient of variation (CV)0.79511815
Kurtosis-0.92682371
Mean16.1713
Median Absolute Deviation (MAD)9.174
Skewness0.5395516
Sum60513.006
Variance165.33059
MonotonicityNot monotonic
2023-12-12T09:07:40.718493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 245
 
6.5%
4.08 22
 
0.6%
4.68 17
 
0.5%
5.16 15
 
0.4%
4.2 15
 
0.4%
4.56 15
 
0.4%
6.48 14
 
0.4%
5.52 13
 
0.3%
6.6 13
 
0.3%
5.28 13
 
0.3%
Other values (1643) 3360
89.8%
ValueCountFrequency (%)
0.0 245
6.5%
0.012 6
 
0.2%
0.024 4
 
0.1%
0.036 4
 
0.1%
0.04 1
 
< 0.1%
0.048 2
 
0.1%
0.06 4
 
0.1%
0.072 2
 
0.1%
0.096 1
 
< 0.1%
0.108 2
 
0.1%
ValueCountFrequency (%)
47.52 1
< 0.1%
46.896 1
< 0.1%
46.848 1
< 0.1%
46.68 1
< 0.1%
46.44 2
0.1%
46.356 1
< 0.1%
46.2 1
< 0.1%
45.84 1
< 0.1%
45.756 1
< 0.1%
45.72 1
< 0.1%

10
Real number (ℝ)

ZEROS 

Distinct1899
Distinct (%)50.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.013927
Minimum0
Maximum65.28
Zeros200
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:07:40.873206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115.12
median25.92
Q341.88
95-th percentile56.154
Maximum65.28
Range65.28
Interquartile range (IQR)26.76

Descriptive statistics

Standard deviation16.999491
Coefficient of variation (CV)0.60682284
Kurtosis-0.9599691
Mean28.013927
Median Absolute Deviation (MAD)13.062
Skewness0.15504086
Sum104828.11
Variance288.98268
MonotonicityNot monotonic
2023-12-12T09:07:41.016942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 200
 
5.3%
18.84 14
 
0.4%
23.28 12
 
0.3%
24.12 12
 
0.3%
24.96 12
 
0.3%
22.32 12
 
0.3%
18.12 11
 
0.3%
31.8 10
 
0.3%
20.28 10
 
0.3%
20.52 10
 
0.3%
Other values (1889) 3439
91.9%
ValueCountFrequency (%)
0.0 200
5.3%
0.012 2
 
0.1%
0.048 1
 
< 0.1%
0.084 1
 
< 0.1%
0.108 2
 
0.1%
0.12 6
 
0.2%
0.132 1
 
< 0.1%
0.204 1
 
< 0.1%
0.216 1
 
< 0.1%
0.24 1
 
< 0.1%
ValueCountFrequency (%)
65.28 1
< 0.1%
64.464 2
0.1%
63.828 1
< 0.1%
63.72 1
< 0.1%
63.48 1
< 0.1%
63.432 1
< 0.1%
63.288 1
< 0.1%
63.168 1
< 0.1%
63.132 1
< 0.1%
63.096 1
< 0.1%

11
Real number (ℝ)

ZEROS 

Distinct2016
Distinct (%)53.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.225954
Minimum0
Maximum78.276
Zeros172
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:07:41.159557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4854
Q123.724
median36.72
Q353.04
95-th percentile67.617
Maximum78.276
Range78.276
Interquartile range (IQR)29.316

Descriptive statistics

Standard deviation19.666801
Coefficient of variation (CV)0.52830885
Kurtosis-0.82621021
Mean37.225954
Median Absolute Deviation (MAD)14.88
Skewness-0.15492692
Sum139299.52
Variance386.78306
MonotonicityNot monotonic
2023-12-12T09:07:41.298109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 172
 
4.6%
32.88 13
 
0.3%
56.88 12
 
0.3%
36.48 10
 
0.3%
33.12 10
 
0.3%
32.16 10
 
0.3%
34.56 10
 
0.3%
34.68 10
 
0.3%
31.56 10
 
0.3%
52.2 10
 
0.3%
Other values (2006) 3475
92.9%
ValueCountFrequency (%)
0.0 172
4.6%
0.012 1
 
< 0.1%
0.048 1
 
< 0.1%
0.084 1
 
< 0.1%
0.108 1
 
< 0.1%
0.12 3
 
0.1%
0.168 1
 
< 0.1%
0.204 1
 
< 0.1%
0.216 2
 
0.1%
0.36 1
 
< 0.1%
ValueCountFrequency (%)
78.276 1
< 0.1%
75.564 1
< 0.1%
75.324 1
< 0.1%
74.88 1
< 0.1%
74.724 1
< 0.1%
74.28 1
< 0.1%
74.1 1
< 0.1%
73.92 1
< 0.1%
73.908 1
< 0.1%
73.896 1
< 0.1%

12
Real number (ℝ)

ZEROS 

Distinct2060
Distinct (%)55.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.032927
Minimum0
Maximum81.996
Zeros163
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:07:41.442158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.3236
Q128.32
median44.022
Q360.291
95-th percentile74.7594
Maximum81.996
Range81.996
Interquartile range (IQR)31.971

Descriptive statistics

Standard deviation21.608098
Coefficient of variation (CV)0.50212941
Kurtosis-0.76103378
Mean43.032927
Median Absolute Deviation (MAD)16.038
Skewness-0.31686716
Sum161029.21
Variance466.90991
MonotonicityNot monotonic
2023-12-12T09:07:41.591523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 163
 
4.4%
39.36 11
 
0.3%
52.8 10
 
0.3%
41.4 10
 
0.3%
36.12 10
 
0.3%
41.52 9
 
0.2%
44.52 9
 
0.2%
40.08 9
 
0.2%
46.08 9
 
0.2%
42.0 9
 
0.2%
Other values (2050) 3493
93.3%
ValueCountFrequency (%)
0.0 163
4.4%
0.048 1
 
< 0.1%
0.12 3
 
0.1%
0.156 1
 
< 0.1%
0.18 1
 
< 0.1%
0.192 1
 
< 0.1%
0.204 1
 
< 0.1%
0.324 1
 
< 0.1%
0.36 1
 
< 0.1%
0.468 1
 
< 0.1%
ValueCountFrequency (%)
81.996 1
< 0.1%
81.084 1
< 0.1%
80.7 1
< 0.1%
80.688 1
< 0.1%
80.616 1
< 0.1%
80.508 1
< 0.1%
80.46 1
< 0.1%
80.448 1
< 0.1%
80.424 1
< 0.1%
80.4 1
< 0.1%

13
Real number (ℝ)

ZEROS 

Distinct2076
Distinct (%)55.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.611593
Minimum0
Maximum86.58
Zeros170
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:07:41.812505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.0806
Q129.64
median46.08
Q362.52
95-th percentile77.1398
Maximum86.58
Range86.58
Interquartile range (IQR)32.88

Descriptive statistics

Standard deviation22.316792
Coefficient of variation (CV)0.50024646
Kurtosis-0.75585566
Mean44.611593
Median Absolute Deviation (MAD)16.44
Skewness-0.33946739
Sum166936.58
Variance498.0392
MonotonicityNot monotonic
2023-12-12T09:07:42.002562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 170
 
4.5%
43.68 15
 
0.4%
47.04 12
 
0.3%
49.44 11
 
0.3%
44.4 10
 
0.3%
40.2 9
 
0.2%
47.16 9
 
0.2%
43.2 9
 
0.2%
42.6 9
 
0.2%
52.56 9
 
0.2%
Other values (2066) 3479
93.0%
ValueCountFrequency (%)
0.0 170
4.5%
0.012 1
 
< 0.1%
0.036 1
 
< 0.1%
0.096 1
 
< 0.1%
0.12 2
 
0.1%
0.24 1
 
< 0.1%
0.48 3
 
0.1%
0.54 1
 
< 0.1%
0.6 1
 
< 0.1%
0.72 1
 
< 0.1%
ValueCountFrequency (%)
86.58 1
< 0.1%
85.308 1
< 0.1%
84.792 1
< 0.1%
83.952 1
< 0.1%
83.532 1
< 0.1%
83.46 1
< 0.1%
83.292 1
< 0.1%
83.244 1
< 0.1%
83.16 1
< 0.1%
83.136 1
< 0.1%

14
Real number (ℝ)

ZEROS 

Distinct2090
Distinct (%)55.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.404316
Minimum0
Maximum87.384
Zeros167
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:07:42.174051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.2
Q127.6
median42.912
Q360.24
95-th percentile74.5074
Maximum87.384
Range87.384
Interquartile range (IQR)32.64

Descriptive statistics

Standard deviation21.799064
Coefficient of variation (CV)0.51407655
Kurtosis-0.81774005
Mean42.404316
Median Absolute Deviation (MAD)16.308
Skewness-0.27146054
Sum158676.95
Variance475.1992
MonotonicityNot monotonic
2023-12-12T09:07:42.369983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 167
 
4.5%
40.08 12
 
0.3%
40.32 10
 
0.3%
44.52 10
 
0.3%
53.88 9
 
0.2%
44.88 9
 
0.2%
37.32 9
 
0.2%
47.64 9
 
0.2%
38.64 9
 
0.2%
51.36 8
 
0.2%
Other values (2080) 3490
93.3%
ValueCountFrequency (%)
0.0 167
4.5%
0.048 1
 
< 0.1%
0.06 1
 
< 0.1%
0.12 1
 
< 0.1%
0.24 3
 
0.1%
0.264 1
 
< 0.1%
0.36 1
 
< 0.1%
0.456 1
 
< 0.1%
0.504 1
 
< 0.1%
0.552 1
 
< 0.1%
ValueCountFrequency (%)
87.384 1
< 0.1%
85.392 1
< 0.1%
83.76 1
< 0.1%
83.58 1
< 0.1%
82.956 1
< 0.1%
82.476 1
< 0.1%
82.14 1
< 0.1%
82.116 1
< 0.1%
81.36 1
< 0.1%
81.336 1
< 0.1%

15
Real number (ℝ)

ZEROS 

Distinct2004
Distinct (%)53.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.45823
Minimum0
Maximum79.248
Zeros157
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:07:42.550112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.819
Q121.747
median35.52
Q353.382
95-th percentile67.3182
Maximum79.248
Range79.248
Interquartile range (IQR)31.635

Descriptive statistics

Standard deviation20.056375
Coefficient of variation (CV)0.55011928
Kurtosis-0.95110851
Mean36.45823
Median Absolute Deviation (MAD)15.744
Skewness-0.080952169
Sum136426.7
Variance402.25819
MonotonicityNot monotonic
2023-12-12T09:07:42.740505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 157
 
4.2%
30.0 12
 
0.3%
39.84 10
 
0.3%
30.24 10
 
0.3%
32.64 9
 
0.2%
32.52 9
 
0.2%
31.68 9
 
0.2%
31.2 9
 
0.2%
34.56 9
 
0.2%
26.28 9
 
0.2%
Other values (1994) 3499
93.5%
ValueCountFrequency (%)
0.0 157
4.2%
0.012 1
 
< 0.1%
0.048 1
 
< 0.1%
0.06 1
 
< 0.1%
0.072 2
 
0.1%
0.096 1
 
< 0.1%
0.12 1
 
< 0.1%
0.156 1
 
< 0.1%
0.168 1
 
< 0.1%
0.24 4
 
0.1%
ValueCountFrequency (%)
79.248 1
< 0.1%
78.36 1
< 0.1%
76.536 1
< 0.1%
76.008 1
< 0.1%
75.144 1
< 0.1%
74.892 1
< 0.1%
74.772 1
< 0.1%
74.304 1
< 0.1%
74.016 1
< 0.1%
73.92 2
0.1%

16
Real number (ℝ)

ZEROS 

Distinct1944
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.585031
Minimum0
Maximum65.268
Zeros172
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:07:42.931089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.228
Q114.52
median25.08
Q342.12
95-th percentile56.0628
Maximum65.268
Range65.268
Interquartile range (IQR)27.6

Descriptive statistics

Standard deviation17.097087
Coefficient of variation (CV)0.61979584
Kurtosis-1.0341248
Mean27.585031
Median Absolute Deviation (MAD)13.32
Skewness0.19998925
Sum103223.19
Variance292.3104
MonotonicityNot monotonic
2023-12-12T09:07:43.116957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 172
 
4.6%
18.96 12
 
0.3%
19.8 11
 
0.3%
18.48 11
 
0.3%
17.88 11
 
0.3%
11.28 10
 
0.3%
20.88 10
 
0.3%
8.04 10
 
0.3%
20.52 10
 
0.3%
21.24 10
 
0.3%
Other values (1934) 3475
92.9%
ValueCountFrequency (%)
0.0 172
4.6%
0.012 3
 
0.1%
0.024 1
 
< 0.1%
0.036 1
 
< 0.1%
0.048 1
 
< 0.1%
0.06 1
 
< 0.1%
0.096 2
 
0.1%
0.12 1
 
< 0.1%
0.132 1
 
< 0.1%
0.144 1
 
< 0.1%
ValueCountFrequency (%)
65.268 1
< 0.1%
64.056 1
< 0.1%
63.132 1
< 0.1%
62.7 1
< 0.1%
62.616 1
< 0.1%
62.124 1
< 0.1%
62.004 1
< 0.1%
61.992 1
< 0.1%
61.896 1
< 0.1%
61.872 1
< 0.1%

17
Real number (ℝ)

ZEROS 

Distinct1658
Distinct (%)44.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.338243
Minimum0
Maximum49.548
Zeros227
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:07:43.312487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.04
median12.744
Q327.24
95-th percentile40.68
Maximum49.548
Range49.548
Interquartile range (IQR)22.2

Descriptive statistics

Standard deviation13.246908
Coefficient of variation (CV)0.81079146
Kurtosis-0.92519682
Mean16.338243
Median Absolute Deviation (MAD)9.36
Skewness0.57128253
Sum61137.706
Variance175.48057
MonotonicityNot monotonic
2023-12-12T09:07:43.486448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 227
 
6.1%
4.68 21
 
0.6%
6.84 20
 
0.5%
6.24 19
 
0.5%
4.44 18
 
0.5%
1.92 17
 
0.5%
4.8 17
 
0.5%
3.72 16
 
0.4%
4.92 16
 
0.4%
2.76 16
 
0.4%
Other values (1648) 3355
89.7%
ValueCountFrequency (%)
0.0 227
6.1%
0.01 1
 
< 0.1%
0.012 4
 
0.1%
0.024 5
 
0.1%
0.036 2
 
0.1%
0.108 2
 
0.1%
0.12 15
 
0.4%
0.144 1
 
< 0.1%
0.156 1
 
< 0.1%
0.18 1
 
< 0.1%
ValueCountFrequency (%)
49.548 1
< 0.1%
49.524 1
< 0.1%
49.44 1
< 0.1%
47.58 1
< 0.1%
47.16 1
< 0.1%
46.944 1
< 0.1%
46.872 1
< 0.1%
46.848 2
0.1%
46.8 1
< 0.1%
46.62 1
< 0.1%

18
Real number (ℝ)

ZEROS 

Distinct1137
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5232619
Minimum0
Maximum35.376
Zeros989
Zeros (%)26.4%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:07:43.654538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.736
Q311.52
95-th percentile22.8
Maximum35.376
Range35.376
Interquartile range (IQR)11.52

Descriptive statistics

Standard deviation7.8593219
Coefficient of variation (CV)1.2048147
Kurtosis-0.153102
Mean6.5232619
Median Absolute Deviation (MAD)2.736
Skewness1.0442115
Sum24410.046
Variance61.768941
MonotonicityNot monotonic
2023-12-12T09:07:43.843305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 989
26.4%
0.12 75
 
2.0%
0.24 34
 
0.9%
0.012 32
 
0.9%
0.36 30
 
0.8%
0.48 28
 
0.7%
0.6 24
 
0.6%
1.08 23
 
0.6%
0.72 21
 
0.6%
0.84 21
 
0.6%
Other values (1127) 2465
65.9%
ValueCountFrequency (%)
0.0 989
26.4%
0.012 32
 
0.9%
0.024 12
 
0.3%
0.036 9
 
0.2%
0.048 9
 
0.2%
0.05 1
 
< 0.1%
0.06 9
 
0.2%
0.072 6
 
0.2%
0.084 5
 
0.1%
0.096 13
 
0.3%
ValueCountFrequency (%)
35.376 1
< 0.1%
30.696 1
< 0.1%
30.048 1
< 0.1%
29.448 1
< 0.1%
29.16 2
0.1%
29.1 1
< 0.1%
28.74 1
< 0.1%
28.656 1
< 0.1%
28.56 1
< 0.1%
28.44 1
< 0.1%

19
Real number (ℝ)

ZEROS 

Distinct511
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3025852
Minimum0
Maximum13.764
Zeros2283
Zeros (%)61.0%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:07:44.013580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.488
95-th percentile7.0914
Maximum13.764
Range13.764
Interquartile range (IQR)1.488

Descriptive statistics

Standard deviation2.3928119
Coefficient of variation (CV)1.8369714
Kurtosis2.8847812
Mean1.3025852
Median Absolute Deviation (MAD)0
Skewness1.9314029
Sum4874.274
Variance5.7255488
MonotonicityNot monotonic
2023-12-12T09:07:44.222373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2283
61.0%
0.12 56
 
1.5%
0.24 31
 
0.8%
0.6 30
 
0.8%
0.36 22
 
0.6%
0.012 21
 
0.6%
0.96 20
 
0.5%
0.84 17
 
0.5%
1.2 16
 
0.4%
0.72 16
 
0.4%
Other values (501) 1230
32.9%
ValueCountFrequency (%)
0.0 2283
61.0%
0.012 21
 
0.6%
0.024 9
 
0.2%
0.036 10
 
0.3%
0.048 9
 
0.2%
0.06 13
 
0.3%
0.072 5
 
0.1%
0.084 9
 
0.2%
0.096 2
 
0.1%
0.108 3
 
0.1%
ValueCountFrequency (%)
13.764 1
< 0.1%
13.308 1
< 0.1%
12.552 1
< 0.1%
12.48 1
< 0.1%
12.312 1
< 0.1%
11.82 1
< 0.1%
11.628 1
< 0.1%
11.28 1
< 0.1%
11.064 1
< 0.1%
11.04 1
< 0.1%

20
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0087610903
Minimum0
Maximum1.224
Zeros3545
Zeros (%)94.7%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T09:07:44.413484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.012
Maximum1.224
Range1.224
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.057534055
Coefficient of variation (CV)6.5669971
Kurtosis144.68857
Mean0.0087610903
Median Absolute Deviation (MAD)0
Skewness10.647432
Sum32.784
Variance0.0033101674
MonotonicityNot monotonic
2023-12-12T09:07:44.605329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0.0 3545
94.7%
0.12 39
 
1.0%
0.012 28
 
0.7%
0.06 12
 
0.3%
0.024 11
 
0.3%
0.036 10
 
0.3%
0.168 8
 
0.2%
0.108 8
 
0.2%
0.132 7
 
0.2%
0.24 5
 
0.1%
Other values (37) 69
 
1.8%
ValueCountFrequency (%)
0.0 3545
94.7%
0.012 28
 
0.7%
0.024 11
 
0.3%
0.036 10
 
0.3%
0.048 5
 
0.1%
0.06 12
 
0.3%
0.072 3
 
0.1%
0.084 4
 
0.1%
0.096 5
 
0.1%
0.108 8
 
0.2%
ValueCountFrequency (%)
1.224 1
< 0.1%
0.96 1
< 0.1%
0.84 1
< 0.1%
0.828 1
< 0.1%
0.768 1
< 0.1%
0.756 1
< 0.1%
0.72 1
< 0.1%
0.696 1
< 0.1%
0.648 1
< 0.1%
0.6 1
< 0.1%

21
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
0
3742 

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 3742
100.0%

Length

2023-12-12T09:07:45.110402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:07:45.217479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3742
100.0%

22
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
0
3742 

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 3742
100.0%

Length

2023-12-12T09:07:45.316520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:07:45.426774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3742
100.0%

23
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
0
3742 

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 3742
100.0%

Length

2023-12-12T09:07:45.549306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:07:45.684555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3742
100.0%

24
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
0
3742 

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 3742
100.0%

Length

2023-12-12T09:07:45.810339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:07:45.946003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3742
100.0%

Sample

년월일호기총량(kw)평균(kw)최대(kw)최소(kw)최대(시간별_kw)최소(시간별_kw)123456789101112131415161718192021222324
02013-01-011220.0449.039.168039.1684.512000000.00.00.06.04815.82830.56438.62835.92839.16831.30818.064.5120.00.00.00000
12013-01-021246.03610.045.012045.0124.956000000.00.00.05.20820.00434.28442.37245.01241.06432.65220.4844.9560.00.00.00000
22013-01-031249.25210.048.696048.6964.248000000.00.00.04.75218.93634.04443.7448.69644.32834.24816.264.2480.00.00.00000
32013-01-041259.94411.046.608046.6080.048000000.00.00.03.7222.22434.21243.12846.60843.59636.08422.6327.6920.0480.00.00000
42013-01-051253.58411.046.8046.80.096000000.00.00.05.26822.4435.11242.7846.841.97628.83621.7928.4840.0960.00.00000
52013-01-061259.70411.045.0045.00.084000000.00.00.05.721.55236.39643.3845.043.24834.81221.8527.680.0840.00.00000
62013-01-071256.95611.044.664044.6640.096000000.00.00.05.65222.3234.9242.88844.66442.79233.7821.967.8840.0960.00.00000
72013-01-081244.53610.044.016044.0160.096000000.00.00.05.05219.9832.62840.244.01641.48432.89220.8447.3440.0960.00.00000
82013-01-091253.9211.046.692046.6920.108000000.00.00.05.42419.06829.79643.4446.69243.0834.88423.0528.3760.1080.00.00000
92013-01-101271.30811.047.4047.40.264000000.00.00.05.32822.52435.97644.5247.444.6436.80424.4689.3840.2640.00.00000
년월일호기총량(kw)평균(kw)최대(kw)최소(kw)최대(시간별_kw)최소(시간별_kw)123456789101112131415161718192021222324
37322023-03-221146.46.128.68028.680.2000000.00.00.243.69.7221.028.6826.0418.1218.614.165.760.480.00.00000
37332023-03-23139.61.6513.56013.560.1000000.00.00.00.01.320.06.8413.5610.925.641.20.120.00.00.00000
37342023-03-241119.164.96527.12027.120.1000000.00.00.06.9621.9627.1225.9214.410.926.844.320.60.120.00.00000
37352023-03-251210.968.7936.48036.482.0000000.00.02.044.5611.8816.5623.436.4832.430.026.8820.885.880.00.00000
37362023-03-261302.5212.60549.32049.321.1000000.00.01.086.8421.1227.8443.3249.0849.3243.834.819.685.640.00.00000
37372023-03-271372.8415.53554.84054.840.4000000.00.02.8814.8831.5645.8452.254.8452.6846.9237.0824.249.360.360.00000
37382023-03-281334.4413.93552.44052.440.2000000.00.03.9614.7626.5233.9648.1252.4449.6842.633.021.08.160.240.00000
37392023-03-291324.013.550.88050.880.1000000.00.125.6418.3631.4441.5248.2450.8834.9232.8830.3621.487.920.240.00000
37402023-03-301296.1612.3445.96045.960.1000000.00.125.8817.0428.4435.5244.445.9641.5227.4825.0819.25.280.240.00000
37412023-03-311364.4415.18550.64050.640.4000000.00.05.7620.435.6444.7648.7250.6449.6844.2834.0821.488.640.360.00000