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)_하동정수장 태양광발전실적에 대한 데이터로 년월일, 호기, 발전량(총량, 평균, 최대, 최소) 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15043408/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
최소(시간별_kw) has 273 (7.3%) zerosZeros
6 has 3222 (86.1%) zerosZeros
7 has 1823 (48.7%) zerosZeros
8 has 444 (11.9%) zerosZeros
18 has 331 (8.8%) zerosZeros
19 has 1739 (46.5%) zerosZeros
20 has 3071 (82.1%) zerosZeros

Reproduction

Analysis started2023-12-11 23:17:52.417518
Analysis finished2023-12-11 23:17:52.840390
Duration0.42 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
2023-12-12T08:17:53.170000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:17:53.303786image/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

2023-12-12T08:17:53.467646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:17:53.587258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3742
100.0%

총량(kw)
Real number (ℝ)

Distinct3609
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean262.57381
Minimum3.656
Maximum573.344
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T08:17:53.693790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.656
5-th percentile58.7096
Q1170.186
median249.528
Q3358.74
95-th percentile490.122
Maximum573.344
Range569.688
Interquartile range (IQR)188.554

Descriptive statistics

Standard deviation128.4243
Coefficient of variation (CV)0.4890979
Kurtosis-0.74316518
Mean262.57381
Median Absolute Deviation (MAD)91.284
Skewness0.21756085
Sum982551.21
Variance16492.801
MonotonicityNot monotonic
2023-12-12T08:17:53.819683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
335.312 3
 
0.1%
193.68 3
 
0.1%
49.064 2
 
0.1%
119.232 2
 
0.1%
171.008 2
 
0.1%
355.152 2
 
0.1%
198.592 2
 
0.1%
306.96 2
 
0.1%
178.016 2
 
0.1%
152.76 2
 
0.1%
Other values (3599) 3720
99.4%
ValueCountFrequency (%)
3.656 1
< 0.1%
4.488 1
< 0.1%
4.856 1
< 0.1%
5.368 1
< 0.1%
5.544 1
< 0.1%
7.16 1
< 0.1%
7.6 1
< 0.1%
7.648 1
< 0.1%
8.432 1
< 0.1%
9.336 1
< 0.1%
ValueCountFrequency (%)
573.344 1
< 0.1%
570.48 1
< 0.1%
568.464 1
< 0.1%
565.088 1
< 0.1%
562.08 1
< 0.1%
557.56 1
< 0.1%
556.728 1
< 0.1%
554.608 1
< 0.1%
552.168 1
< 0.1%
551.112 1
< 0.1%

평균(kw)
Real number (ℝ)

Distinct978
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.938836
Minimum0
Maximum24
Zeros15
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T08:17:53.955368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.3651833
Q17
median10
Q315
95-th percentile20
Maximum24
Range24
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.357893
Coefficient of variation (CV)0.48980468
Kurtosis-0.73000111
Mean10.938836
Median Absolute Deviation (MAD)4
Skewness0.22137675
Sum40933.123
Variance28.707017
MonotonicityNot monotonic
2023-12-12T08:17:54.095499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.0 253
 
6.8%
7.0 194
 
5.2%
13.0 179
 
4.8%
10.0 169
 
4.5%
14.0 169
 
4.5%
12.0 160
 
4.3%
11.0 153
 
4.1%
15.0 151
 
4.0%
9.0 150
 
4.0%
16.0 140
 
3.7%
Other values (968) 2024
54.1%
ValueCountFrequency (%)
0.0 15
 
0.4%
0.748 1
 
< 0.1%
0.838 1
 
< 0.1%
0.841 1
 
< 0.1%
1.0 59
1.6%
1.401 1
 
< 0.1%
1.46 1
 
< 0.1%
1.461 1
 
< 0.1%
1.489 1
 
< 0.1%
1.55 1
 
< 0.1%
ValueCountFrequency (%)
24.0 4
 
0.1%
23.0 23
0.6%
22.946 1
 
< 0.1%
22.68 1
 
< 0.1%
22.526 1
 
< 0.1%
22.36 1
 
< 0.1%
22.323 1
 
< 0.1%
22.19866667 1
 
< 0.1%
22.057 1
 
< 0.1%
22.0 49
1.3%

최대(kw)
Real number (ℝ)

Distinct2908
Distinct (%)77.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.448852
Minimum1.04
Maximum77.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T08:17:54.242078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.04
5-th percentile12.6278
Q133.818
median44.764
Q356.14
95-th percentile67.1904
Maximum77.8
Range76.76
Interquartile range (IQR)22.322

Descriptive statistics

Standard deviation16.207828
Coefficient of variation (CV)0.37303236
Kurtosis-0.46331203
Mean43.448852
Median Absolute Deviation (MAD)11.2
Skewness-0.42461996
Sum162585.6
Variance262.69367
MonotonicityNot monotonic
2023-12-12T08:17:54.404080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48.256 4
 
0.1%
64.2 4
 
0.1%
50.24 4
 
0.1%
61.416 4
 
0.1%
38.4 4
 
0.1%
62.8 4
 
0.1%
35.96 4
 
0.1%
39.6 4
 
0.1%
40.584 4
 
0.1%
37.904 4
 
0.1%
Other values (2898) 3702
98.9%
ValueCountFrequency (%)
1.04 1
< 0.1%
1.544 1
< 0.1%
1.608 1
< 0.1%
1.664 1
< 0.1%
1.96 1
< 0.1%
2.136 1
< 0.1%
2.296 1
< 0.1%
2.328 1
< 0.1%
2.448 2
0.1%
2.744 1
< 0.1%
ValueCountFrequency (%)
77.8 1
< 0.1%
74.912 1
< 0.1%
73.8 1
< 0.1%
73.2 1
< 0.1%
72.96 2
0.1%
72.52 1
< 0.1%
72.5 1
< 0.1%
72.44 1
< 0.1%
72.192 1
< 0.1%
72.168 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

2023-12-12T08:17:54.551791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:17:54.653309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3742
100.0%

최대(시간별_kw)
Real number (ℝ)

Distinct3078
Distinct (%)82.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.447504
Minimum1.04
Maximum77.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T08:17:54.760056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.04
5-th percentile12.624
Q133.817
median44.764
Q356.14
95-th percentile67.1904
Maximum77.8
Range76.76
Interquartile range (IQR)22.323

Descriptive statistics

Standard deviation16.207902
Coefficient of variation (CV)0.37304565
Kurtosis-0.46328869
Mean43.447504
Median Absolute Deviation (MAD)11.196
Skewness-0.42458035
Sum162580.56
Variance262.6961
MonotonicityNot monotonic
2023-12-12T08:17:54.908729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39.44 4
 
0.1%
52.12 4
 
0.1%
44.88 4
 
0.1%
58.12 4
 
0.1%
37.704 4
 
0.1%
35.96 4
 
0.1%
62.8 4
 
0.1%
57.4 4
 
0.1%
36.96 4
 
0.1%
66.2 4
 
0.1%
Other values (3068) 3702
98.9%
ValueCountFrequency (%)
1.04 1
< 0.1%
1.544 1
< 0.1%
1.608 1
< 0.1%
1.664 1
< 0.1%
1.96 1
< 0.1%
2.136 1
< 0.1%
2.296 1
< 0.1%
2.328 1
< 0.1%
2.44 1
< 0.1%
2.448 1
< 0.1%
ValueCountFrequency (%)
77.8 1
< 0.1%
74.91 1
< 0.1%
73.8 1
< 0.1%
73.2 1
< 0.1%
72.96 2
0.1%
72.52 1
< 0.1%
72.5 1
< 0.1%
72.44 1
< 0.1%
72.192 1
< 0.1%
72.168 1
< 0.1%

최소(시간별_kw)
Real number (ℝ)

ZEROS 

Distinct376
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.30070176
Minimum0
Maximum6.8
Zeros273
Zeros (%)7.3%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T08:17:55.054763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.024
median0.088
Q30.32
95-th percentile1.44
Maximum6.8
Range6.8
Interquartile range (IQR)0.296

Descriptive statistics

Standard deviation0.52901421
Coefficient of variation (CV)1.7592654
Kurtosis16.3493
Mean0.30070176
Median Absolute Deviation (MAD)0.08
Skewness3.3828615
Sum1125.226
Variance0.27985604
MonotonicityNot monotonic
2023-12-12T08:17:55.215023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.008 288
 
7.7%
0.0 273
 
7.3%
0.04 187
 
5.0%
0.016 169
 
4.5%
0.024 121
 
3.2%
0.032 106
 
2.8%
0.08 95
 
2.5%
0.01 88
 
2.4%
0.02 84
 
2.2%
0.048 76
 
2.0%
Other values (366) 2255
60.3%
ValueCountFrequency (%)
0.0 273
7.3%
0.008 288
7.7%
0.01 88
 
2.4%
0.016 169
4.5%
0.02 84
 
2.2%
0.024 121
3.2%
0.03 62
 
1.7%
0.032 106
 
2.8%
0.04 187
5.0%
0.048 76
 
2.0%
ValueCountFrequency (%)
6.8 1
< 0.1%
4.48 1
< 0.1%
4.088 1
< 0.1%
3.8 2
0.1%
3.776 2
0.1%
3.576 1
< 0.1%
3.56 1
< 0.1%
3.47 1
< 0.1%
3.34 1
< 0.1%
3.296 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

2023-12-12T08:17:55.349035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:17:55.442991image/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

2023-12-12T08:17:55.541313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:17:55.643545image/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

2023-12-12T08:17:55.766563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:17:55.881984image/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

2023-12-12T08:17:56.017305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:17:56.112299image/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

2023-12-12T08:17:56.253713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:17:56.352597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3742
100.0%

6
Real number (ℝ)

ZEROS 

Distinct66
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02125922
Minimum0
Maximum3.1
Zeros3222
Zeros (%)86.1%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T08:17:56.466641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.104
Maximum3.1
Range3.1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.14306568
Coefficient of variation (CV)6.7295831
Kurtosis264.45411
Mean0.02125922
Median Absolute Deviation (MAD)0
Skewness15.181692
Sum79.552
Variance0.02046779
MonotonicityNot monotonic
2023-12-12T08:17:56.626279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 3222
86.1%
0.008 65
 
1.7%
0.016 41
 
1.1%
0.032 31
 
0.8%
0.024 29
 
0.8%
0.072 25
 
0.7%
0.048 24
 
0.6%
0.064 24
 
0.6%
0.04 23
 
0.6%
0.056 20
 
0.5%
Other values (56) 238
 
6.4%
ValueCountFrequency (%)
0.0 3222
86.1%
0.008 65
 
1.7%
0.016 41
 
1.1%
0.024 29
 
0.8%
0.032 31
 
0.8%
0.04 23
 
0.6%
0.048 24
 
0.6%
0.056 20
 
0.5%
0.064 24
 
0.6%
0.072 25
 
0.7%
ValueCountFrequency (%)
3.1 1
 
< 0.1%
3.0 1
 
< 0.1%
2.6 2
0.1%
2.4 2
0.1%
2.3 1
 
< 0.1%
2.1 3
0.1%
1.9 1
 
< 0.1%
0.784 1
 
< 0.1%
0.752 1
 
< 0.1%
0.728 1
 
< 0.1%

7
Real number (ℝ)

ZEROS 

Distinct599
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.80161625
Minimum0
Maximum9.9
Zeros1823
Zeros (%)48.7%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T08:17:56.772220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.008
Q31.024
95-th percentile4.1504
Maximum9.9
Range9.9
Interquartile range (IQR)1.024

Descriptive statistics

Standard deviation1.4299049
Coefficient of variation (CV)1.7837773
Kurtosis4.5255666
Mean0.80161625
Median Absolute Deviation (MAD)0.008
Skewness2.1390187
Sum2999.648
Variance2.0446279
MonotonicityNot monotonic
2023-12-12T08:17:56.920345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1823
48.7%
0.008 72
 
1.9%
0.016 54
 
1.4%
0.024 37
 
1.0%
0.032 33
 
0.9%
0.048 30
 
0.8%
0.064 26
 
0.7%
0.072 22
 
0.6%
0.104 22
 
0.6%
0.088 21
 
0.6%
Other values (589) 1602
42.8%
ValueCountFrequency (%)
0.0 1823
48.7%
0.008 72
 
1.9%
0.016 54
 
1.4%
0.024 37
 
1.0%
0.032 33
 
0.9%
0.04 19
 
0.5%
0.048 30
 
0.8%
0.056 20
 
0.5%
0.064 26
 
0.7%
0.072 22
 
0.6%
ValueCountFrequency (%)
9.9 1
< 0.1%
9.3 1
< 0.1%
9.0 1
< 0.1%
8.4 1
< 0.1%
8.144 1
< 0.1%
8.0 2
0.1%
7.872 1
< 0.1%
7.6 1
< 0.1%
7.424 1
< 0.1%
7.4 1
< 0.1%

8
Real number (ℝ)

ZEROS 

Distinct1266
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4542202
Minimum0
Maximum27.5
Zeros444
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T08:17:57.044763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.12
median1.8
Q35.82
95-th percentile11.768
Maximum27.5
Range27.5
Interquartile range (IQR)5.7

Descriptive statistics

Standard deviation3.9934947
Coefficient of variation (CV)1.1561205
Kurtosis1.1181993
Mean3.4542202
Median Absolute Deviation (MAD)1.792
Skewness1.2333746
Sum12925.692
Variance15.948
MonotonicityNot monotonic
2023-12-12T08:17:57.200071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 444
 
11.9%
0.008 118
 
3.2%
0.016 54
 
1.4%
0.024 44
 
1.2%
0.048 40
 
1.1%
0.032 39
 
1.0%
0.04 33
 
0.9%
0.056 32
 
0.9%
0.072 24
 
0.6%
0.064 24
 
0.6%
Other values (1256) 2890
77.2%
ValueCountFrequency (%)
0.0 444
11.9%
0.008 118
 
3.2%
0.016 54
 
1.4%
0.024 44
 
1.2%
0.032 39
 
1.0%
0.04 33
 
0.9%
0.048 40
 
1.1%
0.056 32
 
0.9%
0.064 24
 
0.6%
0.072 24
 
0.6%
ValueCountFrequency (%)
27.5 1
< 0.1%
26.3 1
< 0.1%
25.1 1
< 0.1%
24.0 1
< 0.1%
18.448 1
< 0.1%
18.3 1
< 0.1%
18.248 1
< 0.1%
17.0 1
< 0.1%
16.592 1
< 0.1%
16.392 1
< 0.1%

9
Real number (ℝ)

Distinct2232
Distinct (%)59.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.677778
Minimum0
Maximum43.4
Zeros28
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T08:17:57.381824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.56
Q12.536
median7.208
Q319.3
95-th percentile33.9596
Maximum43.4
Range43.4
Interquartile range (IQR)16.764

Descriptive statistics

Standard deviation10.99926
Coefficient of variation (CV)0.94189671
Kurtosis-0.40141021
Mean11.677778
Median Absolute Deviation (MAD)5.904
Skewness0.88998595
Sum43698.244
Variance120.98373
MonotonicityNot monotonic
2023-12-12T08:17:57.833817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 28
 
0.7%
0.48 9
 
0.2%
2.424 9
 
0.2%
1.408 9
 
0.2%
2.24 9
 
0.2%
0.568 8
 
0.2%
0.88 8
 
0.2%
1.632 8
 
0.2%
0.912 7
 
0.2%
1.264 7
 
0.2%
Other values (2222) 3640
97.3%
ValueCountFrequency (%)
0.0 28
0.7%
0.008 4
 
0.1%
0.024 4
 
0.1%
0.032 2
 
0.1%
0.04 4
 
0.1%
0.048 1
 
< 0.1%
0.056 2
 
0.1%
0.064 2
 
0.1%
0.072 4
 
0.1%
0.08 3
 
0.1%
ValueCountFrequency (%)
43.4 1
< 0.1%
42.456 1
< 0.1%
42.4 1
< 0.1%
41.616 1
< 0.1%
41.6 1
< 0.1%
41.12 1
< 0.1%
40.528 1
< 0.1%
40.52 1
< 0.1%
40.456 1
< 0.1%
40.408 1
< 0.1%

10
Real number (ℝ)

Distinct2787
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.749953
Minimum0
Maximum57.5
Zeros4
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T08:17:57.975600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.8004
Q18.206
median19.284
Q337.368
95-th percentile49.8156
Maximum57.5
Range57.5
Interquartile range (IQR)29.162

Descriptive statistics

Standard deviation16.036131
Coefficient of variation (CV)0.70488634
Kurtosis-1.2408227
Mean22.749953
Median Absolute Deviation (MAD)13.068
Skewness0.37346909
Sum85130.324
Variance257.1575
MonotonicityNot monotonic
2023-12-12T08:17:58.109643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.824 6
 
0.2%
0.048 5
 
0.1%
8.832 5
 
0.1%
8.12 5
 
0.1%
6.184 5
 
0.1%
7.376 4
 
0.1%
3.368 4
 
0.1%
5.696 4
 
0.1%
9.672 4
 
0.1%
6.928 4
 
0.1%
Other values (2777) 3696
98.8%
ValueCountFrequency (%)
0.0 4
0.1%
0.016 1
 
< 0.1%
0.024 3
0.1%
0.048 5
0.1%
0.056 1
 
< 0.1%
0.08 1
 
< 0.1%
0.088 1
 
< 0.1%
0.12 1
 
< 0.1%
0.136 1
 
< 0.1%
0.168 1
 
< 0.1%
ValueCountFrequency (%)
57.5 1
< 0.1%
56.8 1
< 0.1%
56.544 1
< 0.1%
56.5 1
< 0.1%
56.12 1
< 0.1%
55.824 1
< 0.1%
55.592 1
< 0.1%
55.408 1
< 0.1%
55.264 1
< 0.1%
55.224 1
< 0.1%

11
Real number (ℝ)

Distinct2953
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.089471
Minimum0
Maximum72.5
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T08:17:58.272162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.8964
Q121.106
median32.288
Q347.118
95-th percentile58.9432
Maximum72.5
Range72.5
Interquartile range (IQR)26.012

Descriptive statistics

Standard deviation16.421801
Coefficient of variation (CV)0.49628478
Kurtosis-1.0115442
Mean33.089471
Median Absolute Deviation (MAD)12.888
Skewness-0.0076072557
Sum123820.8
Variance269.67554
MonotonicityNot monotonic
2023-12-12T08:17:58.403565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23.56 5
 
0.1%
25.656 5
 
0.1%
22.888 5
 
0.1%
43.824 5
 
0.1%
21.936 4
 
0.1%
17.648 4
 
0.1%
47.224 4
 
0.1%
59.408 4
 
0.1%
31.024 4
 
0.1%
21.224 4
 
0.1%
Other values (2943) 3698
98.8%
ValueCountFrequency (%)
0.0 2
0.1%
0.008 1
< 0.1%
0.048 1
< 0.1%
0.08 1
< 0.1%
0.096 1
< 0.1%
0.224 1
< 0.1%
0.32 1
< 0.1%
0.448 1
< 0.1%
0.456 1
< 0.1%
0.504 2
0.1%
ValueCountFrequency (%)
72.5 1
< 0.1%
66.96 1
< 0.1%
66.1 1
< 0.1%
65.9 2
0.1%
65.328 1
< 0.1%
65.144 1
< 0.1%
64.8 1
< 0.1%
64.504 1
< 0.1%
64.336 1
< 0.1%
64.16 1
< 0.1%

12
Real number (ℝ)

Distinct2957
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.593169
Minimum0
Maximum73.8
Zeros4
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T08:17:58.561839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.162
Q125.742
median37.308
Q351.486
95-th percentile64.75
Maximum73.8
Range73.8
Interquartile range (IQR)25.744

Descriptive statistics

Standard deviation17.30867
Coefficient of variation (CV)0.4604206
Kurtosis-0.79553605
Mean37.593169
Median Absolute Deviation (MAD)12.98
Skewness-0.15603398
Sum140673.64
Variance299.59005
MonotonicityNot monotonic
2023-12-12T08:17:58.708333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.32 5
 
0.1%
35.192 4
 
0.1%
38.68 4
 
0.1%
3.104 4
 
0.1%
33.576 4
 
0.1%
33.408 4
 
0.1%
32.272 4
 
0.1%
55.112 4
 
0.1%
39.208 4
 
0.1%
0.0 4
 
0.1%
Other values (2947) 3701
98.9%
ValueCountFrequency (%)
0.0 4
0.1%
0.04 1
 
< 0.1%
0.184 1
 
< 0.1%
0.216 1
 
< 0.1%
0.312 1
 
< 0.1%
0.416 1
 
< 0.1%
0.456 1
 
< 0.1%
0.64 1
 
< 0.1%
0.712 1
 
< 0.1%
0.888 1
 
< 0.1%
ValueCountFrequency (%)
73.8 1
< 0.1%
73.2 1
< 0.1%
72.52 1
< 0.1%
71.7 1
< 0.1%
71.528 1
< 0.1%
71.496 1
< 0.1%
71.368 1
< 0.1%
70.704 1
< 0.1%
70.32 1
< 0.1%
70.24 1
< 0.1%

13
Real number (ℝ)

Distinct3013
Distinct (%)80.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.480756
Minimum0
Maximum77.8
Zeros4
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T08:17:58.850420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.3332
Q126.09
median38.648
Q352.058
95-th percentile66.6156
Maximum77.8
Range77.8
Interquartile range (IQR)25.968

Descriptive statistics

Standard deviation17.689777
Coefficient of variation (CV)0.45970451
Kurtosis-0.78025106
Mean38.480756
Median Absolute Deviation (MAD)12.956
Skewness-0.1485503
Sum143994.99
Variance312.92821
MonotonicityNot monotonic
2023-12-12T08:17:58.985576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46.688 5
 
0.1%
35.96 5
 
0.1%
36.48 4
 
0.1%
48.896 4
 
0.1%
39.68 4
 
0.1%
38.072 4
 
0.1%
16.576 4
 
0.1%
6.488 4
 
0.1%
62.248 4
 
0.1%
0.0 4
 
0.1%
Other values (3003) 3700
98.9%
ValueCountFrequency (%)
0.0 4
0.1%
0.232 1
 
< 0.1%
0.464 1
 
< 0.1%
0.496 1
 
< 0.1%
0.552 1
 
< 0.1%
0.592 1
 
< 0.1%
0.6 1
 
< 0.1%
0.768 1
 
< 0.1%
0.8 1
 
< 0.1%
0.832 1
 
< 0.1%
ValueCountFrequency (%)
77.8 1
< 0.1%
74.912 1
< 0.1%
72.96 2
0.1%
72.44 1
< 0.1%
72.192 1
< 0.1%
72.168 1
< 0.1%
72.032 1
< 0.1%
71.92 1
< 0.1%
71.912 1
< 0.1%
71.832 1
< 0.1%

14
Real number (ℝ)

Distinct2968
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.461135
Minimum0
Maximum71.088
Zeros7
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T08:17:59.131969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.8168
Q124.282
median36.384
Q349.304
95-th percentile64.3516
Maximum71.088
Range71.088
Interquartile range (IQR)25.022

Descriptive statistics

Standard deviation17.152087
Coefficient of variation (CV)0.47042108
Kurtosis-0.7811683
Mean36.461135
Median Absolute Deviation (MAD)12.416
Skewness-0.094154823
Sum136437.57
Variance294.19408
MonotonicityNot monotonic
2023-12-12T08:17:59.306491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 7
 
0.2%
37.528 5
 
0.1%
36.384 5
 
0.1%
33.312 5
 
0.1%
54.224 4
 
0.1%
45.28 4
 
0.1%
37.408 4
 
0.1%
44.24 4
 
0.1%
37.912 4
 
0.1%
35.68 4
 
0.1%
Other values (2958) 3696
98.8%
ValueCountFrequency (%)
0.0 7
0.2%
0.408 1
 
< 0.1%
0.416 1
 
< 0.1%
0.448 1
 
< 0.1%
0.552 1
 
< 0.1%
0.624 1
 
< 0.1%
0.64 2
 
0.1%
0.712 1
 
< 0.1%
0.752 1
 
< 0.1%
0.76 1
 
< 0.1%
ValueCountFrequency (%)
71.088 1
< 0.1%
70.744 1
< 0.1%
70.696 1
< 0.1%
70.352 1
< 0.1%
70.144 1
< 0.1%
69.96 1
< 0.1%
69.744 1
< 0.1%
69.576 1
< 0.1%
69.448 1
< 0.1%
69.44 1
< 0.1%

15
Real number (ℝ)

Distinct2924
Distinct (%)78.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.626258
Minimum0
Maximum65.208
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T08:17:59.478796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.2024
Q120.268
median30.536
Q343.688
95-th percentile58.2796
Maximum65.208
Range65.208
Interquartile range (IQR)23.42

Descriptive statistics

Standard deviation15.810118
Coefficient of variation (CV)0.4999048
Kurtosis-0.81268895
Mean31.626258
Median Absolute Deviation (MAD)11.656
Skewness0.052421595
Sum118345.46
Variance249.95983
MonotonicityNot monotonic
2023-12-12T08:17:59.620494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27.616 5
 
0.1%
0.0 5
 
0.1%
33.856 5
 
0.1%
39.6 5
 
0.1%
26.968 4
 
0.1%
27.848 4
 
0.1%
26.856 4
 
0.1%
26.928 4
 
0.1%
26.952 4
 
0.1%
26.384 4
 
0.1%
Other values (2914) 3698
98.8%
ValueCountFrequency (%)
0.0 5
0.1%
0.008 1
 
< 0.1%
0.016 2
 
0.1%
0.048 1
 
< 0.1%
0.136 1
 
< 0.1%
0.144 1
 
< 0.1%
0.152 1
 
< 0.1%
0.256 1
 
< 0.1%
0.304 1
 
< 0.1%
0.328 1
 
< 0.1%
ValueCountFrequency (%)
65.208 1
< 0.1%
64.872 1
< 0.1%
64.728 1
< 0.1%
64.592 1
< 0.1%
64.456 1
< 0.1%
64.144 1
< 0.1%
64.04 1
< 0.1%
63.912 1
< 0.1%
63.88 1
< 0.1%
63.864 1
< 0.1%

16
Real number (ℝ)

Distinct2786
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.158186
Minimum0
Maximum58.48
Zeros9
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T08:17:59.756292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.48
Q113.596
median22.712
Q334.83
95-th percentile48.1032
Maximum58.48
Range58.48
Interquartile range (IQR)21.234

Descriptive statistics

Standard deviation13.818177
Coefficient of variation (CV)0.57198734
Kurtosis-0.89677822
Mean24.158186
Median Absolute Deviation (MAD)10.41
Skewness0.25596489
Sum90399.932
Variance190.942
MonotonicityNot monotonic
2023-12-12T08:17:59.880360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9
 
0.2%
17.6 6
 
0.2%
23.888 5
 
0.1%
19.464 5
 
0.1%
34.384 5
 
0.1%
9.28 5
 
0.1%
8.32 5
 
0.1%
17.264 5
 
0.1%
40.04 4
 
0.1%
16.056 4
 
0.1%
Other values (2776) 3689
98.6%
ValueCountFrequency (%)
0.0 9
0.2%
0.008 3
 
0.1%
0.024 2
 
0.1%
0.032 1
 
< 0.1%
0.048 1
 
< 0.1%
0.056 1
 
< 0.1%
0.064 1
 
< 0.1%
0.072 1
 
< 0.1%
0.096 1
 
< 0.1%
0.12 1
 
< 0.1%
ValueCountFrequency (%)
58.48 1
< 0.1%
57.424 1
< 0.1%
55.784 1
< 0.1%
55.096 1
< 0.1%
54.968 1
< 0.1%
54.912 1
< 0.1%
54.88 1
< 0.1%
54.776 1
< 0.1%
54.744 1
< 0.1%
54.68 1
< 0.1%

17
Real number (ℝ)

Distinct2472
Distinct (%)66.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.772827
Minimum0
Maximum45.272
Zeros21
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T08:18:00.017570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.0804
Q15.12
median12.22
Q323.296
95-th percentile35.304
Maximum45.272
Range45.272
Interquartile range (IQR)18.176

Descriptive statistics

Standard deviation11.115874
Coefficient of variation (CV)0.75245409
Kurtosis-0.82116559
Mean14.772827
Median Absolute Deviation (MAD)8.076
Skewness0.58673705
Sum55279.92
Variance123.56266
MonotonicityNot monotonic
2023-12-12T08:18:00.149956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 21
 
0.6%
4.088 7
 
0.2%
5.656 7
 
0.2%
5.368 6
 
0.2%
0.056 6
 
0.2%
0.088 6
 
0.2%
5.32 6
 
0.2%
3.768 6
 
0.2%
5.12 6
 
0.2%
0.328 6
 
0.2%
Other values (2462) 3665
97.9%
ValueCountFrequency (%)
0.0 21
0.6%
0.008 4
 
0.1%
0.016 4
 
0.1%
0.024 2
 
0.1%
0.032 2
 
0.1%
0.04 2
 
0.1%
0.048 2
 
0.1%
0.056 6
 
0.2%
0.064 4
 
0.1%
0.072 1
 
< 0.1%
ValueCountFrequency (%)
45.272 1
< 0.1%
43.968 1
< 0.1%
43.672 1
< 0.1%
43.608 1
< 0.1%
42.48 1
< 0.1%
42.064 1
< 0.1%
41.968 1
< 0.1%
41.816 1
< 0.1%
41.768 1
< 0.1%
41.6 1
< 0.1%

18
Real number (ℝ)

ZEROS 

Distinct1661
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2218888
Minimum0
Maximum29.624
Zeros331
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T08:18:00.260493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.216
median3.464
Q310.688
95-th percentile20.2792
Maximum29.624
Range29.624
Interquartile range (IQR)10.472

Descriptive statistics

Standard deviation6.9013617
Coefficient of variation (CV)1.1092068
Kurtosis-0.1350673
Mean6.2218888
Median Absolute Deviation (MAD)3.44
Skewness0.99158344
Sum23282.308
Variance47.628793
MonotonicityNot monotonic
2023-12-12T08:18:00.377077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 331
 
8.8%
0.008 119
 
3.2%
0.024 65
 
1.7%
0.016 57
 
1.5%
0.032 45
 
1.2%
0.04 34
 
0.9%
0.048 32
 
0.9%
0.056 21
 
0.6%
0.072 20
 
0.5%
0.104 18
 
0.5%
Other values (1651) 3000
80.2%
ValueCountFrequency (%)
0.0 331
8.8%
0.008 119
 
3.2%
0.016 57
 
1.5%
0.024 65
 
1.7%
0.032 45
 
1.2%
0.04 34
 
0.9%
0.048 32
 
0.9%
0.056 21
 
0.6%
0.064 17
 
0.5%
0.072 20
 
0.5%
ValueCountFrequency (%)
29.624 1
< 0.1%
28.696 1
< 0.1%
27.84 1
< 0.1%
27.312 1
< 0.1%
26.68 1
< 0.1%
26.608 1
< 0.1%
26.328 1
< 0.1%
26.16 1
< 0.1%
26.104 1
< 0.1%
26.056 1
< 0.1%

19
Real number (ℝ)

ZEROS 

Distinct800
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4273319
Minimum0
Maximum11.992
Zeros1739
Zeros (%)46.5%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T08:18:00.499045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.028
Q32.052
95-th percentile6.992
Maximum11.992
Range11.992
Interquartile range (IQR)2.052

Descriptive statistics

Standard deviation2.3572332
Coefficient of variation (CV)1.6514962
Kurtosis2.2395028
Mean1.4273319
Median Absolute Deviation (MAD)0.028
Skewness1.7611487
Sum5341.076
Variance5.5565484
MonotonicityNot monotonic
2023-12-12T08:18:00.620433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1739
46.5%
0.008 60
 
1.6%
0.016 42
 
1.1%
0.032 31
 
0.8%
0.04 30
 
0.8%
0.024 30
 
0.8%
0.048 24
 
0.6%
0.064 22
 
0.6%
0.056 18
 
0.5%
0.16 16
 
0.4%
Other values (790) 1730
46.2%
ValueCountFrequency (%)
0.0 1739
46.5%
0.008 60
 
1.6%
0.016 42
 
1.1%
0.024 30
 
0.8%
0.032 31
 
0.8%
0.04 30
 
0.8%
0.048 24
 
0.6%
0.056 18
 
0.5%
0.064 22
 
0.6%
0.072 15
 
0.4%
ValueCountFrequency (%)
11.992 1
< 0.1%
11.496 1
< 0.1%
11.448 1
< 0.1%
11.352 1
< 0.1%
11.312 1
< 0.1%
11.288 1
< 0.1%
10.928 1
< 0.1%
10.872 1
< 0.1%
10.6 1
< 0.1%
10.496 1
< 0.1%

20
Real number (ℝ)

ZEROS 

Distinct111
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.037964725
Minimum0
Maximum1.424
Zeros3071
Zeros (%)82.1%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T08:18:00.736352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.272
Maximum1.424
Range1.424
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.13221047
Coefficient of variation (CV)3.4824558
Kurtosis29.196603
Mean0.037964725
Median Absolute Deviation (MAD)0
Skewness4.9350638
Sum142.064
Variance0.01747961
MonotonicityNot monotonic
2023-12-12T08:18:00.860830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 3071
82.1%
0.008 59
 
1.6%
0.016 46
 
1.2%
0.024 45
 
1.2%
0.032 31
 
0.8%
0.04 27
 
0.7%
0.056 25
 
0.7%
0.048 21
 
0.6%
0.096 16
 
0.4%
0.144 16
 
0.4%
Other values (101) 385
 
10.3%
ValueCountFrequency (%)
0.0 3071
82.1%
0.008 59
 
1.6%
0.016 46
 
1.2%
0.024 45
 
1.2%
0.032 31
 
0.8%
0.04 27
 
0.7%
0.048 21
 
0.6%
0.056 25
 
0.7%
0.064 11
 
0.3%
0.072 14
 
0.4%
ValueCountFrequency (%)
1.424 1
< 0.1%
1.392 1
< 0.1%
1.264 1
< 0.1%
1.224 1
< 0.1%
1.168 2
0.1%
1.152 1
< 0.1%
1.144 1
< 0.1%
1.008 2
0.1%
0.992 1
< 0.1%
0.984 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

2023-12-12T08:18:00.963080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:18:01.037811image/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

2023-12-12T08:18:01.111505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:18:01.185923image/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

2023-12-12T08:18:01.260482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:18:01.332825image/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

2023-12-12T08:18:01.409456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:18:01.487150image/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
02013-01-011128.525.026.92026.921.624000000.00.00.01.6249.7212.74426.09626.9225.38414.9128.083.040.00.00.00000
12013-01-021184.5848.036.984036.9840.056000000.00.00.01.324.86423.433.17636.98435.21627.84816.5845.1360.0560.00.00000
22013-01-031189.6328.040.224040.2240.048000000.00.00.01.2165.70423.67235.68840.22437.32828.8812.324.5520.0480.00.00000
32013-01-041186.8168.039.472039.4720.016000000.00.00.00.363.35225.14436.04839.47231.85627.91216.7285.9280.0160.00.00000
42013-01-051187.528.039.656039.6560.032000000.00.00.00.362.92825.28836.05639.65634.15226.16816.66.280.0320.00.00000
52013-01-061185.848.036.024036.0240.072000000.00.00.01.8410.71224.01631.40836.02434.226.31215.9685.2880.0720.00.00000
62013-01-071190.6168.037.28037.280.096000000.00.00.01.6726.21624.033.36837.2835.38428.97617.8085.8160.0960.00.00000
72013-01-081184.5448.036.704036.7040.008000000.00.00.0081.4725.0823.12833.1636.70434.2827.50416.9686.1680.0720.00.00000
82013-01-091206.9289.039.8039.80.032000000.00.00.0324.286.73623.73636.2439.837.81631.38420.0326.8240.0480.00.00000
92013-01-101202.488.040.304040.3040.072000000.00.00.00.563.624.88836.440.30438.19231.2820.0647.120.0720.00.00000
년월일호기총량(kw)평균(kw)최대(kw)최소(kw)최대(시간별_kw)최소(시간별_kw)123456789101112131415161718192021222324
37322023-03-22181.8083.40917.176017.1760.5000000.00.00.564.7047.53611.67217.17610.8567.49.2889.282.8080.5280.00.00000
37332023-03-23171.282.9721.488021.4880.0000000.00.00.0080.2962.48811.72821.48815.1846.5926.0646.6560.7280.0480.00.00000
37342023-03-24147.2081.96711.16011.160.5000000.00.00.00.6482.326.24810.52811.164.284.5443.483.4720.5280.00.00000
37352023-03-251166.5846.94131.92031.920.1000000.00.1124.99211.47216.23219.04831.9230.64822.87218.8486.963.1440.3360.00.00000
37362023-03-261224.8889.3732.832032.8320.0000000.00.0243.97613.16820.48832.83223.72821.03221.68823.36825.16825.57612.3841.4560.00000
37372023-03-271228.769.53237.936037.9360.0000000.00.0241.1449.65637.93626.79223.41623.61620.2822.05623.82426.38412.5281.1040.00000
37382023-03-281237.0969.87938.184038.1840.1000000.00.1042.39210.92838.18425.85623.80823.02424.27229.44828.3620.8568.960.9040.00000
37392023-03-291230.7049.61337.592037.5920.1000000.00.1364.09613.7237.59224.45623.70422.09620.89622.47225.08825.06410.3281.0560.00000
37402023-03-301236.1049.83830.464030.4640.2000000.00.1925.17615.10428.53630.46427.34426.26421.6826.14428.818.1127.6720.6160.00000
37412023-03-311209.7448.73935.56035.560.2000000.00.2083.96813.55235.5624.78420.95219.87218.21617.04820.06424.10410.5760.840.00000