Overview

Dataset statistics

Number of variables32
Number of observations1193
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory334.5 KiB
Average record size in memory287.1 B

Variable types

DateTime1
Categorical11
Numeric20

Dataset

Description한국남부발전(주)_신인천 주차장 태양광발전실적에 대한 데이터로 년월일, 호기, 발전량(총량, 평균, 최대, 최소) 등의 항목을 제공합니다.
Author공공데이터포털
URLhttps://www.data.go.kr/data/15096132/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
6 has 1042 (87.3%) zerosZeros
7 has 638 (53.5%) zerosZeros
8 has 224 (18.8%) zerosZeros
9 has 15 (1.3%) zerosZeros
18 has 94 (7.9%) zerosZeros
19 has 535 (44.8%) zerosZeros
20 has 953 (79.9%) zerosZeros

Reproduction

Analysis started2024-04-17 22:12:45.050169
Analysis finished2024-04-17 22:12:45.339236
Duration0.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년월일
Date

UNIQUE 

Distinct1193
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
Minimum2019-12-25 00:00:00
Maximum2023-03-31 00:00:00
2024-04-18T07:12:45.397323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T07:12:45.518922image/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 size9.4 KiB
1
1193 

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 1193
100.0%

Length

2024-04-18T07:12:45.614559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:12:45.682701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1193
100.0%

총량(kw)
Real number (ℝ)

Distinct1165
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2004.5148
Minimum36.158
Maximum3930.124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-18T07:12:45.760807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.158
5-th percentile388.9624
Q11330.611
median2037.376
Q32730.645
95-th percentile3432.974
Maximum3930.124
Range3893.966
Interquartile range (IQR)1400.034

Descriptive statistics

Standard deviation924.75486
Coefficient of variation (CV)0.46133601
Kurtosis-0.82731398
Mean2004.5148
Median Absolute Deviation (MAD)704.354
Skewness-0.15220587
Sum2391386.2
Variance855171.54
MonotonicityNot monotonic
2024-04-18T07:12:45.873309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2022.914 2
 
0.2%
1718.707 2
 
0.2%
2206.114 2
 
0.2%
3099.938 2
 
0.2%
3115.846 2
 
0.2%
1507.061 2
 
0.2%
2322.783 2
 
0.2%
1522.488 2
 
0.2%
3788.866 2
 
0.2%
3696.301 2
 
0.2%
Other values (1155) 1173
98.3%
ValueCountFrequency (%)
36.158 1
0.1%
41.941 1
0.1%
54.962 1
0.1%
56.888 1
0.1%
87.262 1
0.1%
90.635 1
0.1%
121.972 1
0.1%
126.312 1
0.1%
137.4 1
0.1%
143.186 1
0.1%
ValueCountFrequency (%)
3930.124 1
0.1%
3875.164 1
0.1%
3847.681 1
0.1%
3843.825 1
0.1%
3814.899 1
0.1%
3798.507 1
0.1%
3788.866 2
0.2%
3757.527 1
0.1%
3745.476 1
0.1%
3734.869 1
0.1%

평균(kw)
Real number (ℝ)

Distinct1111
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.521476
Minimum1.507
Maximum163.755
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-18T07:12:45.987166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.507
5-th percentile16.2066
Q155.442
median84.891
Q3113.777
95-th percentile143.041
Maximum163.755
Range162.248
Interquartile range (IQR)58.335

Descriptive statistics

Standard deviation38.531447
Coefficient of variation (CV)0.4613358
Kurtosis-0.82731392
Mean83.521476
Median Absolute Deviation (MAD)29.348
Skewness-0.15220694
Sum99641.121
Variance1484.6724
MonotonicityNot monotonic
2024-04-18T07:12:46.097413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86.337 3
 
0.3%
62.794 3
 
0.3%
94.151 3
 
0.3%
70.99 3
 
0.3%
105.079 2
 
0.2%
39.312 2
 
0.2%
63.437 2
 
0.2%
130.55 2
 
0.2%
6.77 2
 
0.2%
66.33 2
 
0.2%
Other values (1101) 1169
98.0%
ValueCountFrequency (%)
1.507 1
0.1%
1.748 1
0.1%
2.29 1
0.1%
2.37 1
0.1%
3.636 1
0.1%
3.776 1
0.1%
5.082 1
0.1%
5.263 1
0.1%
5.725 1
0.1%
5.966 1
0.1%
ValueCountFrequency (%)
163.755 1
0.1%
161.465 1
0.1%
160.32 1
0.1%
160.159 1
0.1%
158.954 1
0.1%
158.271 1
0.1%
157.869 2
0.2%
156.564 1
0.1%
156.062 1
0.1%
155.62 1
0.1%

최대(kw)
Real number (ℝ)

Distinct613
Distinct (%)51.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean329.44843
Minimum7.714
Maximum520.674
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-18T07:12:46.218142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.714
5-th percentile84.2722
Q1269.015
median363.507
Q3416.057
95-th percentile470.4386
Maximum520.674
Range512.96
Interquartile range (IQR)147.042

Descriptive statistics

Standard deviation116.90456
Coefficient of variation (CV)0.35484933
Kurtosis-0.088903806
Mean329.44843
Median Absolute Deviation (MAD)65.084
Skewness-0.87916114
Sum393031.98
Variance13666.675
MonotonicityNot monotonic
2024-04-18T07:12:46.332017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
416.057 7
 
0.6%
394.362 6
 
0.5%
437.269 6
 
0.5%
398.701 6
 
0.5%
429.074 6
 
0.5%
361.579 6
 
0.5%
381.827 6
 
0.5%
410.754 6
 
0.5%
386.648 5
 
0.4%
371.221 5
 
0.4%
Other values (603) 1134
95.1%
ValueCountFrequency (%)
7.714 1
 
0.1%
14.463 2
0.2%
15.427 1
 
0.1%
21.213 1
 
0.1%
22.659 1
 
0.1%
28.926 3
0.3%
29.891 1
 
0.1%
32.301 1
 
0.1%
33.747 1
 
0.1%
38.086 1
 
0.1%
ValueCountFrequency (%)
520.674 1
0.1%
516.335 1
0.1%
509.585 1
0.1%
508.621 1
0.1%
506.693 1
0.1%
505.728 1
0.1%
505.246 2
0.2%
504.282 1
0.1%
502.836 2
0.2%
500.907 1
0.1%

최소(kw)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
0
1193 

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 1193
100.0%

Length

2024-04-18T07:12:46.432033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:12:46.507028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1193
100.0%

최대(시간별_kw)
Real number (ℝ)

Distinct613
Distinct (%)51.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean329.44843
Minimum7.714
Maximum520.674
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-18T07:12:46.593352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.714
5-th percentile84.2722
Q1269.015
median363.507
Q3416.057
95-th percentile470.4386
Maximum520.674
Range512.96
Interquartile range (IQR)147.042

Descriptive statistics

Standard deviation116.90456
Coefficient of variation (CV)0.35484933
Kurtosis-0.088903806
Mean329.44843
Median Absolute Deviation (MAD)65.084
Skewness-0.87916114
Sum393031.98
Variance13666.675
MonotonicityNot monotonic
2024-04-18T07:12:46.710142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
416.057 7
 
0.6%
394.362 6
 
0.5%
437.269 6
 
0.5%
398.701 6
 
0.5%
429.074 6
 
0.5%
361.579 6
 
0.5%
381.827 6
 
0.5%
410.754 6
 
0.5%
386.648 5
 
0.4%
371.221 5
 
0.4%
Other values (603) 1134
95.1%
ValueCountFrequency (%)
7.714 1
 
0.1%
14.463 2
0.2%
15.427 1
 
0.1%
21.213 1
 
0.1%
22.659 1
 
0.1%
28.926 3
0.3%
29.891 1
 
0.1%
32.301 1
 
0.1%
33.747 1
 
0.1%
38.086 1
 
0.1%
ValueCountFrequency (%)
520.674 1
0.1%
516.335 1
0.1%
509.585 1
0.1%
508.621 1
0.1%
506.693 1
0.1%
505.728 1
0.1%
505.246 2
0.2%
504.282 1
0.1%
502.836 2
0.2%
500.907 1
0.1%

최소(시간별_kw)
Real number (ℝ)

Distinct90
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8718961
Minimum0.482
Maximum33.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-18T07:12:46.836124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.482
5-th percentile0.482
Q10.964
median1.928
Q34.821
95-th percentile13.9886
Maximum33.3
Range32.818
Interquartile range (IQR)3.857

Descriptive statistics

Standard deviation4.888051
Coefficient of variation (CV)1.2624437
Kurtosis6.8551132
Mean3.8718961
Median Absolute Deviation (MAD)1.446
Skewness2.4269334
Sum4619.172
Variance23.893042
MonotonicityNot monotonic
2024-04-18T07:12:46.970454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.482 209
17.5%
0.964 132
 
11.1%
1.446 79
 
6.6%
1.928 71
 
6.0%
0.5 71
 
6.0%
2.411 48
 
4.0%
2.893 45
 
3.8%
4.339 36
 
3.0%
1.0 36
 
3.0%
3.857 31
 
2.6%
Other values (80) 435
36.5%
ValueCountFrequency (%)
0.482 209
17.5%
0.5 71
 
6.0%
0.964 132
11.1%
1.0 36
 
3.0%
1.4 20
 
1.7%
1.446 79
 
6.6%
1.9 16
 
1.3%
1.928 71
 
6.0%
2.4 16
 
1.3%
2.411 48
 
4.0%
ValueCountFrequency (%)
33.3 1
0.1%
33.265 1
0.1%
31.337 1
0.1%
26.998 1
0.1%
25.552 1
0.1%
25.069 2
0.2%
24.587 1
0.1%
24.1 2
0.2%
23.623 1
0.1%
23.141 2
0.2%

1
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
0
1193 

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 1193
100.0%

Length

2024-04-18T07:12:47.083702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:12:47.157958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1193
100.0%

2
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
0
1193 

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 1193
100.0%

Length

2024-04-18T07:12:47.240180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:12:47.311113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1193
100.0%

3
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
0
1193 

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 1193
100.0%

Length

2024-04-18T07:12:47.382861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:12:47.461562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1193
100.0%

4
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
0
1193 

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 1193
100.0%

Length

2024-04-18T07:12:47.539186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:12:47.607739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1193
100.0%

5
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
0
1193 

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 1193
100.0%

Length

2024-04-18T07:12:47.689014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:12:47.771512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1193
100.0%

6
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2513487
Minimum0
Maximum9.642
Zeros1042
Zeros (%)87.3%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-18T07:12:47.846986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.928
Maximum9.642
Range9.642
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.86932693
Coefficient of variation (CV)3.458649
Kurtosis32.418812
Mean0.2513487
Median Absolute Deviation (MAD)0
Skewness4.9804342
Sum299.859
Variance0.75572932
MonotonicityNot monotonic
2024-04-18T07:12:47.944608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 1042
87.3%
0.482 31
 
2.6%
0.964 30
 
2.5%
1.446 20
 
1.7%
1.928 18
 
1.5%
2.411 15
 
1.3%
3.857 10
 
0.8%
2.893 7
 
0.6%
3.375 6
 
0.5%
4.339 6
 
0.5%
Other values (5) 8
 
0.7%
ValueCountFrequency (%)
0.0 1042
87.3%
0.482 31
 
2.6%
0.964 30
 
2.5%
1.446 20
 
1.7%
1.928 18
 
1.5%
2.411 15
 
1.3%
2.893 7
 
0.6%
3.375 6
 
0.5%
3.857 10
 
0.8%
4.339 6
 
0.5%
ValueCountFrequency (%)
9.642 1
 
0.1%
8.678 1
 
0.1%
8.196 1
 
0.1%
5.303 1
 
0.1%
4.821 4
 
0.3%
4.339 6
 
0.5%
3.857 10
0.8%
3.375 6
 
0.5%
2.893 7
0.6%
2.411 15
1.3%

7
Real number (ℝ)

ZEROS 

Distinct87
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.0066974
Minimum0
Maximum54.96
Zeros638
Zeros (%)53.5%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-18T07:12:48.058150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37.232
95-th percentile31.819
Maximum54.96
Range54.96
Interquartile range (IQR)7.232

Descriptive statistics

Standard deviation10.395296
Coefficient of variation (CV)1.7306176
Kurtosis2.7859547
Mean6.0066974
Median Absolute Deviation (MAD)0
Skewness1.9121394
Sum7165.99
Variance108.06218
MonotonicityNot monotonic
2024-04-18T07:12:48.175873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 638
53.5%
0.482 37
 
3.1%
0.964 29
 
2.4%
1.446 28
 
2.3%
2.411 19
 
1.6%
4.821 19
 
1.6%
1.928 17
 
1.4%
3.857 17
 
1.4%
2.893 16
 
1.3%
7.714 14
 
1.2%
Other values (77) 359
30.1%
ValueCountFrequency (%)
0.0 638
53.5%
0.482 37
 
3.1%
0.964 29
 
2.4%
1.446 28
 
2.3%
1.928 17
 
1.4%
2.411 19
 
1.6%
2.893 16
 
1.3%
3.375 10
 
0.8%
3.857 17
 
1.4%
4.339 13
 
1.1%
ValueCountFrequency (%)
54.96 1
 
0.1%
46.764 1
 
0.1%
44.354 2
0.2%
43.872 1
 
0.1%
43.389 2
0.2%
42.907 1
 
0.1%
41.943 3
0.3%
41.461 1
 
0.1%
40.497 1
 
0.1%
39.051 1
 
0.1%

8
Real number (ℝ)

ZEROS 

Distinct249
Distinct (%)20.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.270961
Minimum0
Maximum138.364
Zeros224
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-18T07:12:48.293587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.964
median17.838
Q353.996
95-th percentile105.099
Maximum138.364
Range138.364
Interquartile range (IQR)53.032

Descriptive statistics

Standard deviation35.165
Coefficient of variation (CV)1.1245257
Kurtosis-0.056369718
Mean31.270961
Median Absolute Deviation (MAD)17.838
Skewness1.0358721
Sum37306.256
Variance1236.5773
MonotonicityNot monotonic
2024-04-18T07:12:48.409443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 224
 
18.8%
0.482 51
 
4.3%
0.964 29
 
2.4%
1.446 20
 
1.7%
1.928 20
 
1.7%
2.411 19
 
1.6%
4.821 16
 
1.3%
6.267 14
 
1.2%
36.158 12
 
1.0%
7.232 12
 
1.0%
Other values (239) 776
65.0%
ValueCountFrequency (%)
0.0 224
18.8%
0.482 51
 
4.3%
0.964 29
 
2.4%
1.446 20
 
1.7%
1.928 20
 
1.7%
2.411 19
 
1.6%
2.893 7
 
0.6%
3.375 11
 
0.9%
3.857 12
 
1.0%
4.339 10
 
0.8%
ValueCountFrequency (%)
138.364 1
0.1%
136.436 1
0.1%
134.989 1
0.1%
134.507 1
0.1%
133.061 1
0.1%
132.097 1
0.1%
128.722 1
0.1%
127.758 1
0.1%
126.312 1
0.1%
124.383 1
0.1%

9
Real number (ℝ)

ZEROS 

Distinct431
Distinct (%)36.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.133089
Minimum0
Maximum259.855
Zeros15
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-18T07:12:48.528656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.303
Q130.855
median70.387
Q3144.149
95-th percentile216.947
Maximum259.855
Range259.855
Interquartile range (IQR)113.294

Descriptive statistics

Standard deviation69.042896
Coefficient of variation (CV)0.76601054
Kurtosis-0.86096293
Mean90.133089
Median Absolute Deviation (MAD)47.728
Skewness0.58822353
Sum107528.77
Variance4766.9214
MonotonicityNot monotonic
2024-04-18T07:12:48.640095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 15
 
1.3%
30.855 12
 
1.0%
30.373 10
 
0.8%
119.562 9
 
0.8%
31.819 9
 
0.8%
22.177 9
 
0.8%
33.265 9
 
0.8%
34.712 8
 
0.7%
33.747 8
 
0.7%
29.891 8
 
0.7%
Other values (421) 1096
91.9%
ValueCountFrequency (%)
0.0 15
1.3%
0.482 8
0.7%
0.964 5
 
0.4%
1.446 2
 
0.2%
1.928 7
0.6%
2.411 1
 
0.1%
2.893 5
 
0.4%
3.375 5
 
0.4%
3.857 4
 
0.3%
4.339 3
 
0.3%
ValueCountFrequency (%)
259.855 1
0.1%
258.891 1
0.1%
257.926 1
0.1%
255.998 1
0.1%
254.552 1
0.1%
253.587 1
0.1%
252.141 1
0.1%
249.731 1
0.1%
249.248 1
0.1%
247.802 1
0.1%

10
Real number (ℝ)

Distinct595
Distinct (%)49.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean167.0901
Minimum0
Maximum374.114
Zeros5
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-18T07:12:48.749047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19.8624
Q185.815
median158.131
Q3252.141
95-th percentile318.672
Maximum374.114
Range374.114
Interquartile range (IQR)166.326

Descriptive statistics

Standard deviation96.661988
Coefficient of variation (CV)0.57850219
Kurtosis-1.1098983
Mean167.0901
Median Absolute Deviation (MAD)81.476
Skewness0.10901095
Sum199338.49
Variance9343.54
MonotonicityNot monotonic
2024-04-18T07:12:48.864909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
123.901 7
 
0.6%
91.118 6
 
0.5%
145.114 6
 
0.5%
283.96 6
 
0.5%
127.276 6
 
0.5%
0.0 5
 
0.4%
268.533 5
 
0.4%
44.354 5
 
0.4%
147.524 5
 
0.4%
315.779 5
 
0.4%
Other values (585) 1137
95.3%
ValueCountFrequency (%)
0.0 5
0.4%
0.482 1
 
0.1%
0.964 2
 
0.2%
1.446 2
 
0.2%
1.928 1
 
0.1%
2.411 1
 
0.1%
2.893 2
 
0.2%
3.375 2
 
0.2%
4.339 2
 
0.2%
5.785 2
 
0.2%
ValueCountFrequency (%)
374.114 1
0.1%
369.775 1
0.1%
366.4 1
0.1%
364.954 1
0.1%
364.472 1
0.1%
361.579 2
0.2%
361.097 1
0.1%
360.133 1
0.1%
357.24 1
0.1%
356.758 1
0.1%

11
Real number (ℝ)

Distinct647
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean236.40736
Minimum0
Maximum456.072
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-18T07:12:48.992669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile34.5188
Q1138.364
median254.552
Q3336.992
95-th percentile402.3652
Maximum456.072
Range456.072
Interquartile range (IQR)198.628

Descriptive statistics

Standard deviation117.2527
Coefficient of variation (CV)0.49597738
Kurtosis-1.0515097
Mean236.40736
Median Absolute Deviation (MAD)96.421
Skewness-0.26392015
Sum282033.98
Variance13748.196
MonotonicityNot monotonic
2024-04-18T07:12:49.571214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
358.204 7
 
0.6%
271.425 7
 
0.6%
356.758 6
 
0.5%
365.918 6
 
0.5%
320.6 5
 
0.4%
68.459 5
 
0.4%
98.349 5
 
0.4%
304.208 5
 
0.4%
407.379 5
 
0.4%
365.436 5
 
0.4%
Other values (637) 1137
95.3%
ValueCountFrequency (%)
0.0 1
0.1%
0.482 2
0.2%
2.411 1
0.1%
4.339 2
0.2%
5.785 1
0.1%
7.232 2
0.2%
7.714 1
0.1%
10.124 1
0.1%
11.088 1
0.1%
12.053 2
0.2%
ValueCountFrequency (%)
456.072 1
 
0.1%
450.768 1
 
0.1%
447.394 1
 
0.1%
444.983 1
 
0.1%
443.537 1
 
0.1%
443.055 1
 
0.1%
442.573 1
 
0.1%
441.126 1
 
0.1%
439.68 2
0.2%
438.234 4
0.3%

12
Real number (ℝ)

Distinct660
Distinct (%)55.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean280.34967
Minimum0
Maximum503.318
Zeros3
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-18T07:12:49.675087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile44.354
Q1173.558
median312.404
Q3384.72
95-th percentile451.251
Maximum503.318
Range503.318
Interquartile range (IQR)211.162

Descriptive statistics

Standard deviation130.45886
Coefficient of variation (CV)0.46534338
Kurtosis-0.91203114
Mean280.34967
Median Absolute Deviation (MAD)90.636
Skewness-0.49322218
Sum334457.16
Variance17019.515
MonotonicityNot monotonic
2024-04-18T07:12:49.788688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
366.4 8
 
0.7%
380.863 8
 
0.7%
308.065 7
 
0.6%
314.333 6
 
0.5%
372.185 6
 
0.5%
397.255 6
 
0.5%
386.166 6
 
0.5%
410.272 6
 
0.5%
394.362 5
 
0.4%
316.261 5
 
0.4%
Other values (650) 1130
94.7%
ValueCountFrequency (%)
0.0 3
0.3%
0.482 2
0.2%
0.964 2
0.2%
6.267 1
 
0.1%
7.232 1
 
0.1%
8.196 2
0.2%
9.642 1
 
0.1%
11.088 1
 
0.1%
12.535 1
 
0.1%
14.463 1
 
0.1%
ValueCountFrequency (%)
503.318 1
0.1%
498.497 1
0.1%
497.533 1
0.1%
489.337 1
0.1%
487.891 2
0.2%
487.408 1
0.1%
486.926 1
0.1%
486.444 1
0.1%
485.962 1
0.1%
484.516 1
0.1%

13
Real number (ℝ)

Distinct674
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean298.18393
Minimum0
Maximum520.674
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-18T07:12:49.897051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45.8
Q1188.985
median339.884
Q3406.897
95-th percentile469.2812
Maximum520.674
Range520.674
Interquartile range (IQR)217.912

Descriptive statistics

Standard deviation136.7801
Coefficient of variation (CV)0.45871049
Kurtosis-0.85550448
Mean298.18393
Median Absolute Deviation (MAD)87.743
Skewness-0.58765228
Sum355733.43
Variance18708.795
MonotonicityNot monotonic
2024-04-18T07:12:50.017177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
375.078 6
 
0.5%
361.579 6
 
0.5%
381.827 6
 
0.5%
410.754 6
 
0.5%
378.935 5
 
0.4%
437.269 5
 
0.4%
412.682 5
 
0.4%
165.362 5
 
0.4%
395.808 5
 
0.4%
369.775 5
 
0.4%
Other values (664) 1139
95.5%
ValueCountFrequency (%)
0.0 2
0.2%
1.446 1
0.1%
2.411 1
0.1%
2.893 1
0.1%
3.375 1
0.1%
4.339 1
0.1%
5.303 2
0.2%
6.749 1
0.1%
7.714 1
0.1%
8.196 1
0.1%
ValueCountFrequency (%)
520.674 1
0.1%
516.335 1
0.1%
509.585 1
0.1%
508.621 1
0.1%
506.693 1
0.1%
505.246 2
0.2%
504.282 1
0.1%
502.836 2
0.2%
500.907 1
0.1%
500.425 2
0.2%

14
Real number (ℝ)

Distinct650
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean289.33995
Minimum0
Maximum507.175
Zeros3
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-18T07:12:50.136725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45.318
Q1189.467
median328.314
Q3394.844
95-th percentile456.072
Maximum507.175
Range507.175
Interquartile range (IQR)205.377

Descriptive statistics

Standard deviation132.73622
Coefficient of variation (CV)0.45875526
Kurtosis-0.85055488
Mean289.33995
Median Absolute Deviation (MAD)86.297
Skewness-0.58024562
Sum345182.55
Variance17618.904
MonotonicityNot monotonic
2024-04-18T07:12:50.247223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
375.56 6
 
0.5%
365.918 6
 
0.5%
420.396 6
 
0.5%
399.183 6
 
0.5%
368.811 5
 
0.4%
419.432 5
 
0.4%
366.882 5
 
0.4%
393.398 5
 
0.4%
402.558 5
 
0.4%
404.486 5
 
0.4%
Other values (640) 1139
95.5%
ValueCountFrequency (%)
0.0 3
0.3%
0.482 1
 
0.1%
1.446 1
 
0.1%
3.375 1
 
0.1%
3.857 1
 
0.1%
4.821 1
 
0.1%
6.749 1
 
0.1%
7.714 3
0.3%
10.606 1
 
0.1%
12.535 1
 
0.1%
ValueCountFrequency (%)
507.175 1
 
0.1%
505.728 1
 
0.1%
499.943 1
 
0.1%
498.979 1
 
0.1%
496.086 1
 
0.1%
494.158 1
 
0.1%
491.747 2
0.2%
491.265 1
 
0.1%
488.855 1
 
0.1%
487.891 4
0.3%

15
Real number (ℝ)

Distinct666
Distinct (%)55.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean251.46617
Minimum0
Maximum461.857
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-18T07:12:50.355387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile35.7724
Q1156.684
median272.872
Q3352.901
95-th percentile413.8388
Maximum461.857
Range461.857
Interquartile range (IQR)196.217

Descriptive statistics

Standard deviation120.21944
Coefficient of variation (CV)0.478074
Kurtosis-0.95845042
Mean251.46617
Median Absolute Deviation (MAD)90.635
Skewness-0.39749955
Sum299999.14
Variance14452.713
MonotonicityNot monotonic
2024-04-18T07:12:50.461655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
379.899 8
 
0.7%
216.465 7
 
0.6%
309.512 6
 
0.5%
381.827 6
 
0.5%
356.276 5
 
0.4%
397.737 5
 
0.4%
184.646 5
 
0.4%
384.72 5
 
0.4%
364.472 5
 
0.4%
326.385 5
 
0.4%
Other values (656) 1136
95.2%
ValueCountFrequency (%)
0.0 2
0.2%
2.411 2
0.2%
3.375 1
0.1%
4.339 2
0.2%
4.821 1
0.1%
5.785 1
0.1%
6.749 1
0.1%
7.232 1
0.1%
9.642 2
0.2%
10.606 1
0.1%
ValueCountFrequency (%)
461.857 1
0.1%
460.893 1
0.1%
460.411 1
0.1%
452.697 1
0.1%
451.251 1
0.1%
447.394 1
0.1%
446.912 1
0.1%
445.465 2
0.2%
444.019 1
0.1%
443.537 2
0.2%

16
Real number (ℝ)

Distinct608
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean190.76335
Minimum0
Maximum387.613
Zeros6
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-18T07:12:50.569313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24.105
Q1107.992
median194.771
Q3282.996
95-th percentile338.438
Maximum387.613
Range387.613
Interquartile range (IQR)175.004

Descriptive statistics

Standard deviation101.68383
Coefficient of variation (CV)0.53303648
Kurtosis-1.1225518
Mean190.76335
Median Absolute Deviation (MAD)88.225
Skewness-0.12294919
Sum227580.68
Variance10339.601
MonotonicityNot monotonic
2024-04-18T07:12:50.682163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
294.566 7
 
0.6%
295.048 7
 
0.6%
304.691 6
 
0.5%
0.0 6
 
0.5%
188.985 6
 
0.5%
319.154 6
 
0.5%
57.853 5
 
0.4%
223.215 5
 
0.4%
129.204 5
 
0.4%
134.507 5
 
0.4%
Other values (598) 1135
95.1%
ValueCountFrequency (%)
0.0 6
0.5%
0.482 1
 
0.1%
0.964 1
 
0.1%
1.446 1
 
0.1%
2.411 1
 
0.1%
3.857 3
0.3%
5.303 2
 
0.2%
5.785 2
 
0.2%
6.267 2
 
0.2%
7.232 1
 
0.1%
ValueCountFrequency (%)
387.613 1
0.1%
385.202 1
0.1%
384.238 1
0.1%
383.274 1
0.1%
381.827 1
0.1%
377.971 1
0.1%
377.006 1
0.1%
373.149 1
0.1%
370.739 1
0.1%
369.775 1
0.1%

17
Real number (ℝ)

Distinct462
Distinct (%)38.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.83935
Minimum0
Maximum273.836
Zeros6
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-18T07:12:50.793905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.606
Q139.051
median95.939
Q3181.272
95-th percentile236.232
Maximum273.836
Range273.836
Interquartile range (IQR)142.221

Descriptive statistics

Standard deviation77.140721
Coefficient of variation (CV)0.69596871
Kurtosis-1.2537806
Mean110.83935
Median Absolute Deviation (MAD)64.602
Skewness0.31499493
Sum132231.35
Variance5950.6908
MonotonicityNot monotonic
2024-04-18T07:12:50.903169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31.337 9
 
0.8%
8.196 8
 
0.7%
28.926 8
 
0.7%
36.158 8
 
0.7%
20.731 8
 
0.7%
40.015 8
 
0.7%
30.855 8
 
0.7%
38.086 8
 
0.7%
31.819 7
 
0.6%
15.909 7
 
0.6%
Other values (452) 1114
93.4%
ValueCountFrequency (%)
0.0 6
0.5%
0.482 4
0.3%
0.964 2
 
0.2%
1.446 3
0.3%
1.928 4
0.3%
2.411 3
0.3%
2.893 2
 
0.2%
3.375 1
 
0.1%
3.857 1
 
0.1%
4.339 5
0.4%
ValueCountFrequency (%)
273.836 1
0.1%
273.354 1
0.1%
272.389 1
0.1%
271.907 1
0.1%
270.943 1
0.1%
269.015 1
0.1%
268.051 1
0.1%
267.086 1
0.1%
264.194 1
0.1%
263.712 2
0.2%

18
Real number (ℝ)

ZEROS 

Distinct274
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.681858
Minimum0
Maximum154.274
Zeros94
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-18T07:12:51.022836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.339
median26.998
Q375.208
95-th percentile124.0938
Maximum154.274
Range154.274
Interquartile range (IQR)70.869

Descriptive statistics

Standard deviation42.993222
Coefficient of variation (CV)1.007295
Kurtosis-0.72266656
Mean42.681858
Median Absolute Deviation (MAD)26.516
Skewness0.75712307
Sum50919.457
Variance1848.4172
MonotonicityNot monotonic
2024-04-18T07:12:51.171602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 94
 
7.9%
0.482 80
 
6.7%
0.964 43
 
3.6%
1.446 25
 
2.1%
6.749 20
 
1.7%
5.303 14
 
1.2%
4.821 14
 
1.2%
16.874 13
 
1.1%
2.893 13
 
1.1%
2.411 13
 
1.1%
Other values (264) 864
72.4%
ValueCountFrequency (%)
0.0 94
7.9%
0.482 80
6.7%
0.964 43
3.6%
1.446 25
 
2.1%
1.928 13
 
1.1%
2.411 13
 
1.1%
2.893 13
 
1.1%
3.375 10
 
0.8%
3.857 7
 
0.6%
4.339 8
 
0.7%
ValueCountFrequency (%)
154.274 1
0.1%
149.453 1
0.1%
148.488 1
0.1%
146.56 1
0.1%
146.078 1
0.1%
145.596 1
0.1%
145.114 1
0.1%
144.149 2
0.2%
143.667 1
0.1%
142.703 1
0.1%

19
Real number (ℝ)

ZEROS 

Distinct109
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1591735
Minimum0
Maximum79.547
Zeros535
Zeros (%)44.8%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-18T07:12:51.295862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.964
Q314.945
95-th percentile39.051
Maximum79.547
Range79.547
Interquartile range (IQR)14.945

Descriptive statistics

Standard deviation13.737685
Coefficient of variation (CV)1.4998826
Kurtosis1.5694276
Mean9.1591735
Median Absolute Deviation (MAD)0.964
Skewness1.5405585
Sum10926.894
Variance188.724
MonotonicityNot monotonic
2024-04-18T07:12:51.422016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 535
44.8%
0.482 45
 
3.8%
0.964 31
 
2.6%
1.928 28
 
2.3%
3.375 21
 
1.8%
2.411 17
 
1.4%
1.446 17
 
1.4%
2.893 16
 
1.3%
5.785 14
 
1.2%
5.303 14
 
1.2%
Other values (99) 455
38.1%
ValueCountFrequency (%)
0.0 535
44.8%
0.482 45
 
3.8%
0.964 31
 
2.6%
1.446 17
 
1.4%
1.928 28
 
2.3%
2.411 17
 
1.4%
2.893 16
 
1.3%
3.375 21
 
1.8%
3.857 13
 
1.1%
4.339 12
 
1.0%
ValueCountFrequency (%)
79.547 1
0.1%
66.048 2
0.2%
56.406 1
0.1%
55.924 1
0.1%
55.442 1
0.1%
53.514 1
0.1%
52.549 1
0.1%
52.067 1
0.1%
51.103 1
0.1%
50.139 1
0.1%

20
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.57180805
Minimum0
Maximum13.017
Zeros953
Zeros (%)79.9%
Negative0
Negative (%)0.0%
Memory size10.6 KiB
2024-04-18T07:12:51.529991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.857
Maximum13.017
Range13.017
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.5327585
Coefficient of variation (CV)2.6805473
Kurtosis15.89488
Mean0.57180805
Median Absolute Deviation (MAD)0
Skewness3.6103948
Sum682.167
Variance2.3493486
MonotonicityNot monotonic
2024-04-18T07:12:51.624811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 953
79.9%
0.482 41
 
3.4%
0.964 26
 
2.2%
1.928 25
 
2.1%
1.446 25
 
2.1%
2.893 21
 
1.8%
3.375 18
 
1.5%
3.857 17
 
1.4%
2.411 14
 
1.2%
5.303 13
 
1.1%
Other values (13) 40
 
3.4%
ValueCountFrequency (%)
0.0 953
79.9%
0.482 41
 
3.4%
0.964 26
 
2.2%
1.446 25
 
2.1%
1.928 25
 
2.1%
2.411 14
 
1.2%
2.893 21
 
1.8%
3.375 18
 
1.5%
3.857 17
 
1.4%
4.339 7
 
0.6%
ValueCountFrequency (%)
13.017 1
 
0.1%
12.053 1
 
0.1%
11.088 2
 
0.2%
10.606 1
 
0.1%
8.678 1
 
0.1%
8.196 1
 
0.1%
7.714 3
0.3%
7.232 2
 
0.2%
6.749 2
 
0.2%
6.267 6
0.5%

21
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
0
1193 

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 1193
100.0%

Length

2024-04-18T07:12:51.718089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:12:51.787972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1193
100.0%

22
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
0
1193 

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 1193
100.0%

Length

2024-04-18T07:12:51.868446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:12:51.940523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1193
100.0%

23
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
0
1193 

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 1193
100.0%

Length

2024-04-18T07:12:52.014206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:12:52.085927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1193
100.0%

24
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
0
1193 

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 1193
100.0%

Length

2024-04-18T07:12:52.186095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:12:52.260239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1193
100.0%

Sample

년월일호기총량(kw)평균(kw)최대(kw)최소(kw)최대(시간별_kw)최소(시간별_kw)123456789101112131415161718192021222324
02019-12-2511019.65342.486223.6970223.6970.482000000.00.00.08.19659.781153.309205.859223.697164.398116.18757.85329.8910.4820.00.00000
12019-12-261646.98526.958162.4690162.4690.964000000.00.00.05.30344.35463.63872.79895.45796.903162.46973.2831.8190.9640.00.00000
22019-12-2712026.28984.429370.7390370.7390.482000000.00.00.48236.158146.078258.891339.884370.739355.794298.905177.89740.4970.9640.00.00000
32019-12-2811275.16853.132340.3660340.36613.017000000.00.00.031.819129.204233.821268.533340.366183.68258.81715.90913.0170.00.00.00000
42019-12-291449.80418.74276.655076.65514.945000000.00.00.014.94534.71260.74572.79872.79876.65555.44241.94319.7660.00.00.00000
52019-12-301468.12519.50594.011094.0110.964000000.00.00.017.83853.99668.45942.42529.89147.24681.47694.01131.8190.9640.00.00000
62019-12-3112197.43691.56404.4860404.4860.482000000.00.00.48235.676158.613293.12366.4404.486388.577320.118186.09342.4251.4460.00.00000
72020-01-011902.50237.604179.3430179.3432.411000000.00.00.02.41126.034163.916163.916156.202179.343126.79465.08418.8020.00.00.00000
82020-01-021466.19619.42590.154090.1540.964000000.00.00.07.71439.05168.45975.69147.24690.15469.42347.72819.7660.9640.00.00000
92020-01-0311894.67478.945353.3830353.3831.928000000.00.00.030.855127.276225.625302.28353.383344.223282.996176.45149.6571.9280.00.00000
년월일호기총량(kw)평균(kw)최대(kw)최소(kw)최대(시간별_kw)최소(시간별_kw)123456789101112131415161718192021222324
11832023-03-2211277.09653.212298.4230298.4234.8000000.00.09.64222.17775.208201.038236.714298.423243.945121.00845.31818.8024.8210.00.00000
11842023-03-2311680.61870.026303.2440303.2445.3000000.00.07.23235.67654.96127.276212.608303.244289.263230.928212.126148.00653.9965.3030.00000
11852023-03-2411842.60776.775311.440311.441.0000000.00.96430.85571.352157.166219.84291.192311.44273.354193.324161.02390.63638.0863.3750.00000
11862023-03-2512045.57185.232302.7620302.7621.4000000.01.44630.373101.724185.128251.177293.602276.728302.762261.301179.343101.24254.965.7850.00000
11872023-03-2612611.564108.815374.1140374.1145.8000000.00.032.783122.937224.661304.208356.758374.114364.954325.903261.301171.62966.5315.7850.00000
11882023-03-2711984.34482.681357.240357.241.0000000.00.96435.194123.419217.429290.709342.295357.24342.29515.90934.229131.61581.95811.0880.00000
11892023-03-2812683.879111.828436.7870436.7871.4000000.01.44644.354119.08170.665252.141343.741353.865436.787383.274294.566197.66376.17310.1240.00000
11902023-03-2912841.531118.397404.0040404.0042.4000000.02.41149.175148.971241.535333.135380.863404.004397.737346.634272.872181.27272.79810.1240.00000
11912023-03-3013058.958127.457430.0380430.0382.9000000.02.89351.585151.863257.444345.669405.933430.038423.771383.274306.619201.5282.92215.4270.00000
11922023-03-3113003.034125.126423.2880423.2882.9000000.02.89350.139145.596255.516343.741398.219423.288419.914378.453303.244196.69975.20810.1240.00000