Overview

Dataset statistics

Number of variables32
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 MiB
Average record size in memory295.0 B

Variable types

DateTime1
Numeric21
Categorical10

Dataset

Description한국남부발전(주)_하동본부 태양광발전실적에 대한 데이터로 년월일, 호기, 발전량(총량, 평균, 최대, 최소) 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15043407/fileData.do

Alerts

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
총량(kw) has 108 (1.1%) zerosZeros
평균(kw) has 111 (1.1%) zerosZeros
최대(kw) has 108 (1.1%) zerosZeros
최대(시간별_kw) has 108 (1.1%) zerosZeros
최소(시간별_kw) has 108 (1.1%) zerosZeros
6 has 9088 (90.9%) zerosZeros
7 has 5476 (54.8%) zerosZeros
8 has 1360 (13.6%) zerosZeros
9 has 343 (3.4%) zerosZeros
10 has 217 (2.2%) zerosZeros
11 has 198 (2.0%) zerosZeros
12 has 186 (1.9%) zerosZeros
13 has 193 (1.9%) zerosZeros
14 has 187 (1.9%) zerosZeros
15 has 191 (1.9%) zerosZeros
16 has 197 (2.0%) zerosZeros
17 has 266 (2.7%) zerosZeros
18 has 1186 (11.9%) zerosZeros
19 has 4970 (49.7%) zerosZeros
20 has 8521 (85.2%) zerosZeros

Reproduction

Analysis started2023-12-12 07:43:56.317170
Analysis finished2023-12-12 07:43:57.133030
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년월일
Date

Distinct3655
Distinct (%)36.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2013-01-01 00:00:00
Maximum2023-03-31 00:00:00
2023-12-12T16:43:57.193817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:43:57.314023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

호기
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8209
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:43:57.429539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.485141
Coefficient of variation (CV)0.52647772
Kurtosis-0.71210607
Mean2.8209
Median Absolute Deviation (MAD)1
Skewness0.49892027
Sum28209
Variance2.2056438
MonotonicityNot monotonic
2023-12-12T16:43:57.519216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 2406
24.1%
2 2336
23.4%
1 2317
23.2%
4 1261
12.6%
5 1122
11.2%
6 558
 
5.6%
ValueCountFrequency (%)
1 2317
23.2%
2 2336
23.4%
3 2406
24.1%
4 1261
12.6%
5 1122
11.2%
6 558
 
5.6%
ValueCountFrequency (%)
6 558
 
5.6%
5 1122
11.2%
4 1261
12.6%
3 2406
24.1%
2 2336
23.4%
1 2317
23.2%

총량(kw)
Real number (ℝ)

ZEROS 

Distinct9565
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3649.78
Minimum0
Maximum11440.98
Zeros108
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:43:57.627043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile395.5392
Q12115.702
median3502.29
Q34980.72
95-th percentile7725.501
Maximum11440.98
Range11440.98
Interquartile range (IQR)2865.018

Descriptive statistics

Standard deviation2141.7957
Coefficient of variation (CV)0.58682872
Kurtosis0.3086053
Mean3649.78
Median Absolute Deviation (MAD)1437.24
Skewness0.55991732
Sum36497800
Variance4587289
MonotonicityNot monotonic
2023-12-12T16:43:57.760244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 108
 
1.1%
3164.76 3
 
< 0.1%
4823.04 3
 
< 0.1%
2500.704 3
 
< 0.1%
1738.8 3
 
< 0.1%
3107.16 3
 
< 0.1%
2406.24 3
 
< 0.1%
4195.56 3
 
< 0.1%
758.16 3
 
< 0.1%
4683.96 3
 
< 0.1%
Other values (9555) 9865
98.7%
ValueCountFrequency (%)
0.0 108
1.1%
4.752 1
 
< 0.1%
5.4 1
 
< 0.1%
5.52 1
 
< 0.1%
15.12 1
 
< 0.1%
18.144 1
 
< 0.1%
21.72 1
 
< 0.1%
22.56 1
 
< 0.1%
22.608 1
 
< 0.1%
23.4 1
 
< 0.1%
ValueCountFrequency (%)
11440.98 1
< 0.1%
11306.52 1
< 0.1%
11173.68 1
< 0.1%
11131.74 1
< 0.1%
11063.52 1
< 0.1%
11049.84 1
< 0.1%
11006.64 1
< 0.1%
11003.04 1
< 0.1%
10910.88 1
< 0.1%
10878.48 1
< 0.1%

평균(kw)
Real number (ℝ)

ZEROS 

Distinct4030
Distinct (%)40.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152.08042
Minimum0
Maximum477
Zeros111
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:43:57.885236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16.42525
Q188
median146
Q3207.64225
95-th percentile322
Maximum477
Range477
Interquartile range (IQR)119.64225

Descriptive statistics

Standard deviation89.241484
Coefficient of variation (CV)0.58680455
Kurtosis0.30893615
Mean152.08042
Median Absolute Deviation (MAD)60
Skewness0.56000549
Sum1520804.2
Variance7964.0425
MonotonicityNot monotonic
2023-12-12T16:43:58.029926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 111
 
1.1%
127.0 40
 
0.4%
120.0 39
 
0.4%
187.0 38
 
0.4%
205.0 38
 
0.4%
101.0 37
 
0.4%
197.0 36
 
0.4%
128.0 36
 
0.4%
134.0 36
 
0.4%
117.0 35
 
0.4%
Other values (4020) 9554
95.5%
ValueCountFrequency (%)
0.0 111
1.1%
1.0 7
 
0.1%
1.507 1
 
< 0.1%
1.838041667 1
 
< 0.1%
2.0 15
 
0.1%
2.811 1
 
< 0.1%
2.865 1
 
< 0.1%
3.0 13
 
0.1%
3.14 1
 
< 0.1%
4.0 16
 
0.2%
ValueCountFrequency (%)
477.0 1
< 0.1%
471.0 1
< 0.1%
466.0 1
< 0.1%
464.0 1
< 0.1%
461.0 1
< 0.1%
460.0 1
< 0.1%
459.0 1
< 0.1%
458.0 1
< 0.1%
455.0 1
< 0.1%
453.0 1
< 0.1%

최대(kw)
Real number (ℝ)

ZEROS 

Distinct7422
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean593.54453
Minimum0
Maximum1495.08
Zeros108
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:43:58.156409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile89.457
Q1387.918
median623.1
Q3778.59
95-th percentile1149.849
Maximum1495.08
Range1495.08
Interquartile range (IQR)390.672

Descriptive statistics

Standard deviation299.70813
Coefficient of variation (CV)0.50494632
Kurtosis-0.23311232
Mean593.54453
Median Absolute Deviation (MAD)199.854
Skewness0.20275451
Sum5935445.3
Variance89824.961
MonotonicityNot monotonic
2023-12-12T16:43:58.291543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 108
 
1.1%
694.08 7
 
0.1%
430.128 6
 
0.1%
774.528 6
 
0.1%
750.912 6
 
0.1%
394.92 6
 
0.1%
420.552 5
 
0.1%
392.256 5
 
0.1%
676.8 5
 
0.1%
438.12 5
 
0.1%
Other values (7412) 9841
98.4%
ValueCountFrequency (%)
0.0 108
1.1%
3.024 1
 
< 0.1%
4.68 1
 
< 0.1%
5.184 1
 
< 0.1%
5.52 1
 
< 0.1%
7.056 1
 
< 0.1%
7.68 1
 
< 0.1%
8.16 1
 
< 0.1%
9.216 1
 
< 0.1%
9.36 1
 
< 0.1%
ValueCountFrequency (%)
1495.08 1
< 0.1%
1490.22 1
< 0.1%
1463.58 1
< 0.1%
1459.98 1
< 0.1%
1452.06 1
< 0.1%
1451.16 1
< 0.1%
1447.74 1
< 0.1%
1445.76 1
< 0.1%
1443.24 1
< 0.1%
1439.1 1
< 0.1%

최소(kw)
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2023-12-12T16:43:58.414909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:43:58.504983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

최대(시간별_kw)
Real number (ℝ)

ZEROS 

Distinct7775
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean593.54376
Minimum0
Maximum1495.08
Zeros108
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:43:58.612756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile89.457
Q1387.917
median623.1
Q3778.59
95-th percentile1149.849
Maximum1495.08
Range1495.08
Interquartile range (IQR)390.673

Descriptive statistics

Standard deviation299.70835
Coefficient of variation (CV)0.50494735
Kurtosis-0.23311124
Mean593.54376
Median Absolute Deviation (MAD)199.854
Skewness0.20275597
Sum5935437.6
Variance89825.093
MonotonicityNot monotonic
2023-12-12T16:43:58.829540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 108
 
1.1%
694.08 7
 
0.1%
394.92 6
 
0.1%
438.12 5
 
0.1%
678.6 5
 
0.1%
392.256 5
 
0.1%
668.64 5
 
0.1%
734.4 5
 
0.1%
693.24 5
 
0.1%
802.08 5
 
0.1%
Other values (7765) 9844
98.4%
ValueCountFrequency (%)
0.0 108
1.1%
3.024 1
 
< 0.1%
4.68 1
 
< 0.1%
5.184 1
 
< 0.1%
5.52 1
 
< 0.1%
7.056 1
 
< 0.1%
7.68 1
 
< 0.1%
8.16 1
 
< 0.1%
9.216 1
 
< 0.1%
9.36 1
 
< 0.1%
ValueCountFrequency (%)
1495.08 1
< 0.1%
1490.22 1
< 0.1%
1463.58 1
< 0.1%
1459.98 1
< 0.1%
1452.06 1
< 0.1%
1451.16 1
< 0.1%
1447.74 1
< 0.1%
1445.76 1
< 0.1%
1443.24 1
< 0.1%
1439.1 1
< 0.1%

최소(시간별_kw)
Real number (ℝ)

ZEROS 

Distinct1276
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.508057
Minimum0
Maximum326.04
Zeros108
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:43:59.417255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.12
Q10.72
median2.3
Q37.2
95-th percentile27.12
Maximum326.04
Range326.04
Interquartile range (IQR)6.48

Descriptive statistics

Standard deviation11.370859
Coefficient of variation (CV)1.7471972
Kurtosis81.909256
Mean6.508057
Median Absolute Deviation (MAD)1.94
Skewness5.5576296
Sum65080.57
Variance129.29643
MonotonicityNot monotonic
2023-12-12T16:43:59.572406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.72 225
 
2.2%
0.12 183
 
1.8%
0.36 167
 
1.7%
1.44 165
 
1.7%
1.08 141
 
1.4%
0.48 121
 
1.2%
0.24 114
 
1.1%
0.54 111
 
1.1%
0.072 109
 
1.1%
0.0 108
 
1.1%
Other values (1266) 8556
85.6%
ValueCountFrequency (%)
0.0 108
1.1%
0.07 74
0.7%
0.072 109
1.1%
0.09 62
 
0.6%
0.096 56
 
0.6%
0.1 76
0.8%
0.12 183
1.8%
0.14 42
 
0.4%
0.144 88
0.9%
0.19 43
 
0.4%
ValueCountFrequency (%)
326.04 1
< 0.1%
199.44 1
< 0.1%
116.82 1
< 0.1%
97.74 1
< 0.1%
89.1 1
< 0.1%
87.84 1
< 0.1%
86.04 1
< 0.1%
85.5 1
< 0.1%
85.14 1
< 0.1%
84.96 1
< 0.1%

1
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2023-12-12T16:43:59.710631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:43:59.821576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

2
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2023-12-12T16:43:59.926120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:44:00.010137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

3
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2023-12-12T16:44:00.104375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:44:00.203294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

4
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2023-12-12T16:44:00.320317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:44:00.410441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

5
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2023-12-12T16:44:00.528117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:44:00.621583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

6
Real number (ℝ)

ZEROS 

Distinct158
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1866003
Minimum0
Maximum11.88
Zeros9088
Zeros (%)90.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:44:00.755302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.248
Maximum11.88
Range11.88
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.84642731
Coefficient of variation (CV)4.5360447
Kurtosis52.646897
Mean0.1866003
Median Absolute Deviation (MAD)0
Skewness6.5128511
Sum1866.003
Variance0.71643919
MonotonicityNot monotonic
2023-12-12T16:44:00.929825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9088
90.9%
0.072 31
 
0.3%
1.44 27
 
0.3%
0.288 24
 
0.2%
0.216 22
 
0.2%
0.72 21
 
0.2%
1.8 20
 
0.2%
0.36 20
 
0.2%
1.08 20
 
0.2%
0.144 17
 
0.2%
Other values (148) 710
 
7.1%
ValueCountFrequency (%)
0.0 9088
90.9%
0.072 31
 
0.3%
0.096 16
 
0.2%
0.12 11
 
0.1%
0.144 17
 
0.2%
0.192 11
 
0.1%
0.216 22
 
0.2%
0.24 3
 
< 0.1%
0.288 24
 
0.2%
0.36 20
 
0.2%
ValueCountFrequency (%)
11.88 1
 
< 0.1%
11.34 1
 
< 0.1%
10.847 4
< 0.1%
10.62 1
 
< 0.1%
10.44 1
 
< 0.1%
9.54 1
 
< 0.1%
9.408 1
 
< 0.1%
9.18 2
< 0.1%
8.678 3
< 0.1%
8.64 1
 
< 0.1%

7
Real number (ℝ)

ZEROS 

Distinct1455
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8875029
Minimum0
Maximum189.36
Zeros5476
Zeros (%)54.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:44:01.101387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q39.792
95-th percentile51.6486
Maximum189.36
Range189.36
Interquartile range (IQR)9.792

Descriptive statistics

Standard deviation21.336225
Coefficient of variation (CV)2.1578982
Kurtosis14.337158
Mean9.8875029
Median Absolute Deviation (MAD)0
Skewness3.4240381
Sum98875.029
Variance455.23449
MonotonicityNot monotonic
2023-12-12T16:44:01.271832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5476
54.8%
0.72 55
 
0.5%
1.44 41
 
0.4%
0.12 37
 
0.4%
0.36 33
 
0.3%
0.288 32
 
0.3%
0.192 26
 
0.3%
0.864 25
 
0.2%
1.08 24
 
0.2%
0.48 22
 
0.2%
Other values (1445) 4229
42.3%
ValueCountFrequency (%)
0.0 5476
54.8%
0.072 21
 
0.2%
0.096 15
 
0.1%
0.12 37
 
0.4%
0.144 20
 
0.2%
0.192 26
 
0.3%
0.216 12
 
0.1%
0.24 19
 
0.2%
0.288 32
 
0.3%
0.36 33
 
0.3%
ValueCountFrequency (%)
189.36 1
< 0.1%
188.82 1
< 0.1%
180.9 1
< 0.1%
166.68 1
< 0.1%
164.88 1
< 0.1%
162.54 1
< 0.1%
162.18 1
< 0.1%
159.66 1
< 0.1%
158.58 1
< 0.1%
158.22 2
< 0.1%

8
Real number (ℝ)

ZEROS 

Distinct3713
Distinct (%)37.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.931787
Minimum0
Maximum552.42
Zeros1360
Zeros (%)13.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:44:01.471280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.514
median30.528
Q389.463
95-th percentile210.0576
Maximum552.42
Range552.42
Interquartile range (IQR)86.949

Descriptive statistics

Standard deviation77.332447
Coefficient of variation (CV)1.2903411
Kurtosis4.7404937
Mean59.931787
Median Absolute Deviation (MAD)30.384
Skewness1.9894244
Sum599317.87
Variance5980.3074
MonotonicityNot monotonic
2023-12-12T16:44:01.627440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1360
 
13.6%
0.12 42
 
0.4%
1.44 39
 
0.4%
0.072 39
 
0.4%
0.72 38
 
0.4%
1.08 35
 
0.4%
0.288 34
 
0.3%
0.144 31
 
0.3%
2.88 30
 
0.3%
0.216 30
 
0.3%
Other values (3703) 8322
83.2%
ValueCountFrequency (%)
0.0 1360
13.6%
0.072 39
 
0.4%
0.096 21
 
0.2%
0.12 42
 
0.4%
0.144 31
 
0.3%
0.18 1
 
< 0.1%
0.192 17
 
0.2%
0.216 30
 
0.3%
0.24 26
 
0.3%
0.288 34
 
0.3%
ValueCountFrequency (%)
552.42 1
< 0.1%
525.96 1
< 0.1%
498.42 1
< 0.1%
479.16 1
< 0.1%
470.52 1
< 0.1%
453.24 1
< 0.1%
445.5 1
< 0.1%
442.98 1
< 0.1%
440.46 1
< 0.1%
440.1 2
< 0.1%

9
Real number (ℝ)

ZEROS 

Distinct6008
Distinct (%)60.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean178.65954
Minimum0
Maximum862.02
Zeros343
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:44:01.781821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.3096
Q159.88
median138.384
Q3274.59
95-th percentile463.689
Maximum862.02
Range862.02
Interquartile range (IQR)214.71

Descriptive statistics

Standard deviation151.87554
Coefficient of variation (CV)0.85008356
Kurtosis1.2967592
Mean178.65954
Median Absolute Deviation (MAD)94.536
Skewness1.17303
Sum1786595.4
Variance23066.179
MonotonicityNot monotonic
2023-12-12T16:44:01.940742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 343
 
3.4%
85.32 9
 
0.1%
34.56 9
 
0.1%
27.36 9
 
0.1%
49.32 8
 
0.1%
77.04 8
 
0.1%
1.08 8
 
0.1%
27.0 8
 
0.1%
108.0 8
 
0.1%
2.88 8
 
0.1%
Other values (5998) 9582
95.8%
ValueCountFrequency (%)
0.0 343
3.4%
0.096 1
 
< 0.1%
0.12 4
 
< 0.1%
0.144 1
 
< 0.1%
0.192 2
 
< 0.1%
0.216 2
 
< 0.1%
0.24 2
 
< 0.1%
0.288 2
 
< 0.1%
0.36 4
 
< 0.1%
0.384 3
 
< 0.1%
ValueCountFrequency (%)
862.02 1
< 0.1%
829.44 1
< 0.1%
827.1 1
< 0.1%
819.54 1
< 0.1%
803.52 1
< 0.1%
801.18 1
< 0.1%
796.14 1
< 0.1%
787.5 1
< 0.1%
784.26 1
< 0.1%
778.5 1
< 0.1%

10
Real number (ℝ)

ZEROS 

Distinct7007
Distinct (%)70.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean328.02102
Minimum0
Maximum1098.9
Zeros217
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:44:02.095851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18.1782
Q1159.723
median298.242
Q3482.502
95-th percentile718.065
Maximum1098.9
Range1098.9
Interquartile range (IQR)322.779

Descriptive statistics

Standard deviation216.95807
Coefficient of variation (CV)0.66141514
Kurtosis0.10753613
Mean328.02102
Median Absolute Deviation (MAD)161.658
Skewness0.59931681
Sum3280210.2
Variance47070.802
MonotonicityNot monotonic
2023-12-12T16:44:02.228893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 217
 
2.2%
191.88 7
 
0.1%
66.96 7
 
0.1%
501.12 6
 
0.1%
218.232 6
 
0.1%
183.6 6
 
0.1%
203.04 6
 
0.1%
206.28 6
 
0.1%
187.56 6
 
0.1%
464.64 6
 
0.1%
Other values (6997) 9727
97.3%
ValueCountFrequency (%)
0.0 217
2.2%
0.12 1
 
< 0.1%
0.216 1
 
< 0.1%
0.24 2
 
< 0.1%
0.36 2
 
< 0.1%
0.504 1
 
< 0.1%
0.54 1
 
< 0.1%
0.6 1
 
< 0.1%
0.648 1
 
< 0.1%
0.72 4
 
< 0.1%
ValueCountFrequency (%)
1098.9 1
< 0.1%
1097.1 1
< 0.1%
1093.68 1
< 0.1%
1092.06 1
< 0.1%
1084.86 1
< 0.1%
1076.22 1
< 0.1%
1072.62 1
< 0.1%
1065.24 1
< 0.1%
1063.98 1
< 0.1%
1058.22 1
< 0.1%

11
Real number (ℝ)

ZEROS 

Distinct7307
Distinct (%)73.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean451.02936
Minimum0
Maximum1326.6
Zeros198
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:44:02.385244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile34.5552
Q1243.36
median440.256
Q3641.52
95-th percentile940.329
Maximum1326.6
Range1326.6
Interquartile range (IQR)398.16

Descriptive statistics

Standard deviation272.31382
Coefficient of variation (CV)0.60376075
Kurtosis-0.30955461
Mean451.02936
Median Absolute Deviation (MAD)199.776
Skewness0.33392978
Sum4510293.6
Variance74154.819
MonotonicityNot monotonic
2023-12-12T16:44:02.596822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 198
 
2.0%
341.208 7
 
0.1%
330.624 6
 
0.1%
617.04 6
 
0.1%
610.56 6
 
0.1%
644.04 6
 
0.1%
306.36 6
 
0.1%
636.48 6
 
0.1%
535.68 5
 
0.1%
330.696 5
 
0.1%
Other values (7297) 9749
97.5%
ValueCountFrequency (%)
0.0 198
2.0%
0.072 1
 
< 0.1%
0.12 1
 
< 0.1%
0.36 1
 
< 0.1%
0.432 1
 
< 0.1%
0.48 2
 
< 0.1%
0.504 1
 
< 0.1%
0.72 2
 
< 0.1%
0.84 1
 
< 0.1%
0.864 1
 
< 0.1%
ValueCountFrequency (%)
1326.6 1
< 0.1%
1306.08 1
< 0.1%
1301.22 1
< 0.1%
1300.86 1
< 0.1%
1298.52 1
< 0.1%
1296.9 1
< 0.1%
1295.64 1
< 0.1%
1288.08 1
< 0.1%
1275.3 1
< 0.1%
1274.04 1
< 0.1%

12
Real number (ℝ)

ZEROS 

Distinct7542
Distinct (%)75.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean519.86699
Minimum0
Maximum1456.92
Zeros186
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:44:02.919609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile40.8204
Q1291.354
median511.056
Q3731.847
95-th percentile1074.258
Maximum1456.92
Range1456.92
Interquartile range (IQR)440.493

Descriptive statistics

Standard deviation305.69804
Coefficient of variation (CV)0.58803126
Kurtosis-0.42091336
Mean519.86699
Median Absolute Deviation (MAD)220.3095
Skewness0.26555805
Sum5198669.9
Variance93451.293
MonotonicityNot monotonic
2023-12-12T16:44:03.090302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 186
 
1.9%
545.04 6
 
0.1%
368.64 5
 
0.1%
699.48 5
 
0.1%
423.0 5
 
0.1%
435.6 5
 
0.1%
391.68 5
 
0.1%
414.864 5
 
0.1%
769.536 5
 
0.1%
669.24 5
 
0.1%
Other values (7532) 9768
97.7%
ValueCountFrequency (%)
0.0 186
1.9%
0.072 1
 
< 0.1%
0.36 1
 
< 0.1%
0.6 1
 
< 0.1%
0.72 1
 
< 0.1%
0.864 1
 
< 0.1%
1.152 1
 
< 0.1%
1.26 1
 
< 0.1%
1.32 2
 
< 0.1%
1.68 1
 
< 0.1%
ValueCountFrequency (%)
1456.92 1
< 0.1%
1435.5 1
< 0.1%
1435.14 1
< 0.1%
1429.92 1
< 0.1%
1421.1 1
< 0.1%
1419.66 1
< 0.1%
1408.86 1
< 0.1%
1403.46 1
< 0.1%
1394.82 1
< 0.1%
1385.28 1
< 0.1%

13
Real number (ℝ)

ZEROS 

Distinct7610
Distinct (%)76.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean543.74918
Minimum0
Maximum1495.08
Zeros193
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:44:03.277504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile44.0544
Q1316.872
median527.43
Q3759
95-th percentile1118.223
Maximum1495.08
Range1495.08
Interquartile range (IQR)442.128

Descriptive statistics

Standard deviation315.86476
Coefficient of variation (CV)0.58090158
Kurtosis-0.40058292
Mean543.74918
Median Absolute Deviation (MAD)225.21
Skewness0.25765676
Sum5437491.8
Variance99770.544
MonotonicityNot monotonic
2023-12-12T16:44:03.436366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 193
 
1.9%
694.08 7
 
0.1%
452.376 6
 
0.1%
782.88 6
 
0.1%
750.912 5
 
0.1%
435.96 5
 
0.1%
784.704 5
 
0.1%
406.512 5
 
0.1%
459.36 5
 
0.1%
637.2 5
 
0.1%
Other values (7600) 9758
97.6%
ValueCountFrequency (%)
0.0 193
1.9%
0.6 1
 
< 0.1%
0.72 2
 
< 0.1%
1.08 1
 
< 0.1%
1.32 1
 
< 0.1%
1.44 4
 
< 0.1%
2.016 1
 
< 0.1%
2.112 1
 
< 0.1%
2.28 1
 
< 0.1%
3.96 1
 
< 0.1%
ValueCountFrequency (%)
1495.08 1
< 0.1%
1490.22 1
< 0.1%
1463.58 1
< 0.1%
1459.98 1
< 0.1%
1452.06 1
< 0.1%
1451.16 1
< 0.1%
1447.74 1
< 0.1%
1445.76 1
< 0.1%
1439.1 1
< 0.1%
1433.88 1
< 0.1%

14
Real number (ℝ)

ZEROS 

Distinct7692
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean520.76191
Minimum0
Maximum1443.24
Zeros187
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:44:03.610079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile38.8044
Q1294.45
median507.5685
Q3728.757
95-th percentile1086.498
Maximum1443.24
Range1443.24
Interquartile range (IQR)434.307

Descriptive statistics

Standard deviation305.05255
Coefficient of variation (CV)0.58578122
Kurtosis-0.3882785
Mean520.76191
Median Absolute Deviation (MAD)218.7795
Skewness0.26115437
Sum5207619.1
Variance93057.056
MonotonicityNot monotonic
2023-12-12T16:44:03.809484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 187
 
1.9%
725.76 7
 
0.1%
403.272 7
 
0.1%
757.08 7
 
0.1%
681.12 6
 
0.1%
394.416 5
 
0.1%
429.408 5
 
0.1%
412.2 5
 
0.1%
728.736 5
 
0.1%
429.12 5
 
0.1%
Other values (7682) 9761
97.6%
ValueCountFrequency (%)
0.0 187
1.9%
0.12 1
 
< 0.1%
0.72 1
 
< 0.1%
1.056 1
 
< 0.1%
1.584 1
 
< 0.1%
2.088 1
 
< 0.1%
2.52 1
 
< 0.1%
2.952 1
 
< 0.1%
3.024 1
 
< 0.1%
3.12 1
 
< 0.1%
ValueCountFrequency (%)
1443.24 1
< 0.1%
1438.92 1
< 0.1%
1425.6 1
< 0.1%
1420.92 1
< 0.1%
1412.1 1
< 0.1%
1402.74 1
< 0.1%
1395.72 1
< 0.1%
1392.66 1
< 0.1%
1391.4 1
< 0.1%
1388.88 1
< 0.1%

15
Real number (ℝ)

ZEROS 

Distinct7465
Distinct (%)74.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean446.79962
Minimum0
Maximum1282.68
Zeros191
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:44:03.987013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30.6
Q1243.09
median435.798
Q3630.492
95-th percentile946.818
Maximum1282.68
Range1282.68
Interquartile range (IQR)387.402

Descriptive statistics

Standard deviation269.2622
Coefficient of variation (CV)0.60264643
Kurtosis-0.27040032
Mean446.79962
Median Absolute Deviation (MAD)193.992
Skewness0.33989308
Sum4467996.2
Variance72502.13
MonotonicityNot monotonic
2023-12-12T16:44:04.173753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 191
 
1.9%
686.88 7
 
0.1%
389.16 6
 
0.1%
578.88 6
 
0.1%
318.96 6
 
0.1%
599.76 5
 
0.1%
541.44 5
 
0.1%
603.72 5
 
0.1%
597.6 5
 
0.1%
351.72 5
 
0.1%
Other values (7455) 9759
97.6%
ValueCountFrequency (%)
0.0 191
1.9%
0.12 1
 
< 0.1%
0.24 1
 
< 0.1%
0.36 2
 
< 0.1%
0.432 1
 
< 0.1%
0.6 2
 
< 0.1%
0.72 1
 
< 0.1%
0.936 1
 
< 0.1%
0.96 2
 
< 0.1%
1.08 2
 
< 0.1%
ValueCountFrequency (%)
1282.68 1
< 0.1%
1273.86 1
< 0.1%
1264.5 1
< 0.1%
1258.2 1
< 0.1%
1256.76 1
< 0.1%
1252.44 1
< 0.1%
1248.48 1
< 0.1%
1245.96 1
< 0.1%
1245.6 1
< 0.1%
1235.34 1
< 0.1%

16
Real number (ℝ)

ZEROS 

Distinct7205
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean329.24106
Minimum0
Maximum1033.02
Zeros197
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:44:04.356595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19.296
Q1161.046
median315.36
Q3477.045
95-th percentile721.269
Maximum1033.02
Range1033.02
Interquartile range (IQR)315.999

Descriptive statistics

Standard deviation214.07008
Coefficient of variation (CV)0.65019254
Kurtosis-0.10002766
Mean329.24106
Median Absolute Deviation (MAD)157.968
Skewness0.52310784
Sum3292410.6
Variance45826
MonotonicityNot monotonic
2023-12-12T16:44:04.544711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 197
 
2.0%
336.24 7
 
0.1%
121.68 6
 
0.1%
362.52 6
 
0.1%
303.48 6
 
0.1%
459.0 5
 
0.1%
376.56 5
 
0.1%
330.84 5
 
0.1%
455.4 5
 
0.1%
541.152 5
 
0.1%
Other values (7195) 9753
97.5%
ValueCountFrequency (%)
0.0 197
2.0%
0.12 2
 
< 0.1%
0.144 1
 
< 0.1%
0.288 1
 
< 0.1%
0.6 2
 
< 0.1%
0.72 3
 
< 0.1%
0.723 1
 
< 0.1%
0.84 1
 
< 0.1%
0.864 1
 
< 0.1%
0.9 1
 
< 0.1%
ValueCountFrequency (%)
1033.02 1
< 0.1%
1029.96 1
< 0.1%
1023.48 1
< 0.1%
1019.7 1
< 0.1%
1019.52 1
< 0.1%
1018.44 1
< 0.1%
1015.92 1
< 0.1%
1011.42 1
< 0.1%
1006.56 1
< 0.1%
1004.04 1
< 0.1%

17
Real number (ℝ)

ZEROS 

Distinct6180
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean182.46851
Minimum0
Maximum716.58
Zeros266
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:44:05.015069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.68
Q156.868
median149.268
Q3279.862
95-th percentile458.4989
Maximum716.58
Range716.58
Interquartile range (IQR)222.994

Descriptive statistics

Standard deviation148.62661
Coefficient of variation (CV)0.81453292
Kurtosis0.15080629
Mean182.46851
Median Absolute Deviation (MAD)104.112
Skewness0.85513099
Sum1824685.1
Variance22089.869
MonotonicityNot monotonic
2023-12-12T16:44:05.159838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 266
 
2.7%
1.44 12
 
0.1%
0.72 10
 
0.1%
2.52 10
 
0.1%
29.76 8
 
0.1%
36.0 8
 
0.1%
90.72 8
 
0.1%
65.28 8
 
0.1%
37.604 7
 
0.1%
37.152 7
 
0.1%
Other values (6170) 9656
96.6%
ValueCountFrequency (%)
0.0 266
2.7%
0.072 1
 
< 0.1%
0.096 2
 
< 0.1%
0.12 2
 
< 0.1%
0.144 2
 
< 0.1%
0.192 1
 
< 0.1%
0.216 3
 
< 0.1%
0.24 4
 
< 0.1%
0.288 3
 
< 0.1%
0.36 4
 
< 0.1%
ValueCountFrequency (%)
716.58 1
< 0.1%
710.1 1
< 0.1%
708.84 1
< 0.1%
703.62 1
< 0.1%
702.9 1
< 0.1%
700.2 1
< 0.1%
698.94 1
< 0.1%
696.78 1
< 0.1%
695.34 1
< 0.1%
694.62 1
< 0.1%

18
Real number (ℝ)

ZEROS 

Distinct3877
Distinct (%)38.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.178456
Minimum0
Maximum417.06
Zeros1186
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:44:05.299031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.784
median35.016
Q3113.616
95-th percentile215.9088
Maximum417.06
Range417.06
Interquartile range (IQR)110.832

Descriptive statistics

Standard deviation76.313628
Coefficient of variation (CV)1.1531491
Kurtosis1.2985764
Mean66.178456
Median Absolute Deviation (MAD)34.92
Skewness1.2966759
Sum661784.56
Variance5823.7698
MonotonicityNot monotonic
2023-12-12T16:44:05.419910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1186
 
11.9%
0.72 60
 
0.6%
0.12 60
 
0.6%
0.36 43
 
0.4%
1.08 43
 
0.4%
0.288 42
 
0.4%
0.072 40
 
0.4%
1.44 37
 
0.4%
0.144 36
 
0.4%
0.96 33
 
0.3%
Other values (3867) 8420
84.2%
ValueCountFrequency (%)
0.0 1186
11.9%
0.072 40
 
0.4%
0.096 24
 
0.2%
0.12 60
 
0.6%
0.144 36
 
0.4%
0.18 1
 
< 0.1%
0.192 23
 
0.2%
0.216 29
 
0.3%
0.24 30
 
0.3%
0.288 42
 
0.4%
ValueCountFrequency (%)
417.06 1
< 0.1%
400.86 1
< 0.1%
395.82 1
< 0.1%
395.28 1
< 0.1%
393.66 1
< 0.1%
391.68 1
< 0.1%
387.36 1
< 0.1%
385.38 1
< 0.1%
381.24 1
< 0.1%
380.88 1
< 0.1%

19
Real number (ℝ)

ZEROS 

Distinct1673
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.65361
Minimum0
Maximum178.92
Zeros4970
Zeros (%)49.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:44:05.536317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.084
Q316.92
95-th percentile59.94
Maximum178.92
Range178.92
Interquartile range (IQR)16.92

Descriptive statistics

Standard deviation22.685521
Coefficient of variation (CV)1.7928102
Kurtosis7.6370931
Mean12.65361
Median Absolute Deviation (MAD)0.084
Skewness2.5371693
Sum126536.1
Variance514.63287
MonotonicityNot monotonic
2023-12-12T16:44:05.671041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4970
49.7%
0.72 35
 
0.4%
0.288 35
 
0.4%
0.072 30
 
0.3%
0.36 29
 
0.3%
0.12 29
 
0.3%
1.44 27
 
0.3%
0.576 26
 
0.3%
0.096 26
 
0.3%
0.48 23
 
0.2%
Other values (1663) 4770
47.7%
ValueCountFrequency (%)
0.0 4970
49.7%
0.072 30
 
0.3%
0.096 26
 
0.3%
0.12 29
 
0.3%
0.144 15
 
0.1%
0.18 3
 
< 0.1%
0.192 6
 
0.1%
0.216 15
 
0.1%
0.24 18
 
0.2%
0.288 35
 
0.4%
ValueCountFrequency (%)
178.92 1
< 0.1%
175.14 1
< 0.1%
165.6 1
< 0.1%
160.74 1
< 0.1%
157.14 1
< 0.1%
156.78 1
< 0.1%
154.26 1
< 0.1%
153.72 1
< 0.1%
152.28 1
< 0.1%
151.56 1
< 0.1%

20
Real number (ℝ)

ZEROS 

Distinct217
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.344887
Minimum0
Maximum25.56
Zeros8521
Zeros (%)85.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:44:05.798197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.592
Maximum25.56
Range25.56
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2794563
Coefficient of variation (CV)3.709784
Kurtosis63.848527
Mean0.344887
Median Absolute Deviation (MAD)0
Skewness6.436623
Sum3448.87
Variance1.6370083
MonotonicityNot monotonic
2023-12-12T16:44:05.929700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 8521
85.2%
0.072 42
 
0.4%
0.72 38
 
0.4%
1.44 37
 
0.4%
0.36 35
 
0.4%
0.096 34
 
0.3%
1.08 30
 
0.3%
0.12 26
 
0.3%
0.144 26
 
0.3%
0.48 25
 
0.2%
Other values (207) 1186
 
11.9%
ValueCountFrequency (%)
0.0 8521
85.2%
0.072 42
 
0.4%
0.096 34
 
0.3%
0.12 26
 
0.3%
0.144 26
 
0.3%
0.192 21
 
0.2%
0.216 22
 
0.2%
0.24 22
 
0.2%
0.288 24
 
0.2%
0.36 35
 
0.4%
ValueCountFrequency (%)
25.56 1
< 0.1%
22.5 1
< 0.1%
21.06 1
< 0.1%
20.16 1
< 0.1%
16.2 1
< 0.1%
14.592 1
< 0.1%
14.496 1
< 0.1%
14.463 1
< 0.1%
14.22 1
< 0.1%
13.68 1
< 0.1%

21
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2023-12-12T16:44:06.058600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:44:06.161247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

22
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2023-12-12T16:44:06.244821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:44:06.321653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

23
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2023-12-12T16:44:06.419841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:44:06.538166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

24
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2023-12-12T16:44:06.672216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:44:06.769370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

Sample

년월일호기총량(kw)평균(kw)최대(kw)최소(kw)최대(시간별_kw)최소(시간별_kw)123456789101112131415161718192021222324
144152022-08-2153660.864152.536479.2320479.23214.1000000.014.112131.136332.064286.464261.216326.208398.976463.008375.264479.232365.856193.53633.7920.00000
762013-01-2625034.06210.0878.940878.940.54000000.00.00.5490.0331.38653.22819.18878.94837.54687.6471.42230.433.840.00.00000
78832019-05-2915096.64212.0667.920667.920.24000000.2428.2161.04354.96499.68564.12648.84667.92638.28585.6479.28321.48133.3213.680.00000
53512017-11-1932531.304105.0445.6080445.66.98000000.00.06.984122.976289.584380.736433.944445.608410.184280.368137.23223.6880.00.00.00000
129702021-12-2363814.659158.944713.7570713.7572.169000000.00.03.61668.7327.591558.278682.661713.757671.814522.12218.39445.5592.1690.00.00000
151342022-12-1944097.568170.732728.9280728.9283.6000000.00.03.64837.056425.28628.32697.824728.928707.712582.528251.71234.560.00.00.00000
10372013-12-1232401.704100.0424.0080424.0080.864000000.00.00.86446.224216.0341.28398.736424.008417.816349.344178.12829.3040.00.00.00000
113942021-04-0523959.28164.97555.480555.485.94000000.06.84113.04255.96385.56484.2541.44555.48527.22461.16350.28201.4270.745.940.00000
8692013-10-1732063.01686.0349.20349.20.36000000.00.3643.92109.152149.832128.016230.256349.2336.312330.912273.52895.47216.0560.00.00000
148212022-10-2832312.85696.369382.8960382.8965.0000000.00.018.432110.016220.68305.136362.016382.896363.888293.04187.5664.2244.9680.00.00000
년월일호기총량(kw)평균(kw)최대(kw)최소(kw)최대(시간별_kw)최소(시간별_kw)123456789101112131415161718192021222324
101822020-08-3055511.744229.656745.0560745.0567.296000000.07.296123.744306.912510.048630.24715.392745.056742.368662.688535.392347.52144.76840.320.00000
34292016-02-1814903.2204.0673.440673.4414.52000000.00.014.52229.56479.4602.52660.12673.44622.32643.08577.92340.0860.240.00.00000
122712021-08-2931160.13648.339272.4480272.4482.304000000.00.04.96819.58448.672136.08230.76272.44875.168123.62499.72125.92820.882.3040.00000
26252015-05-2615327.52222.0696.960696.962.04000000.015.48146.64350.88513.6620.16680.04696.96670.08612.84500.16331.8149.6437.22.040000
68742018-11-082228.2410.060.48060.480.9000000.00.00.923.2229.5237.2641.941.4460.488.6424.840.00.00.00.00000
103102020-09-2531587.09666.129309.6720309.6720.072000000.01.58440.32151.704229.104216.504309.672188.928178.416115.5685.53651.26418.4320.0720.00000
32582015-12-231375.1216.073.92073.923.6000000.00.00.03.619.4454.2465.6473.9255.4444.7648.849.240.00.00.00000
52162017-10-0531255.10452.0277.4880277.480.14000000.01.15234.416111.672243.072277.488179.064152.496121.10481.79231.17621.5280.1440.00.00000
91402020-02-0432878.56120.0466.20466.22.73000000.00.02.73677.112241.776348.984428.328466.2447.264406.584302.976140.61615.9840.00.00000
362013-01-131574.824.0143.280143.280.48000000.00.00.09.097.56131.28143.2872.8454.8447.8817.640.480.00.00.00000