Overview

Dataset statistics

Number of variables32
Number of observations1554
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory435.7 KiB
Average record size in memory287.1 B

Variable types

DateTime1
Categorical11
Numeric20

Dataset

Description한국남부발전(주)_신인천해수구취수구 태양광발전실적에 대한 데이터로 년월일, 호기, 발전량(총량, 평균, 최대, 최소) 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15043396/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
년월일 has unique valuesUnique
6 has 1349 (86.8%) zerosZeros
7 has 827 (53.2%) zerosZeros
8 has 294 (18.9%) zerosZeros
9 has 26 (1.7%) zerosZeros
18 has 122 (7.9%) zerosZeros
19 has 682 (43.9%) zerosZeros
20 has 1182 (76.1%) zerosZeros

Reproduction

Analysis started2023-12-12 22:00:36.170228
Analysis finished2023-12-12 22:00:36.575994
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년월일
Date

UNIQUE 

Distinct1554
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
Minimum2018-12-29 00:00:00
Maximum2023-03-31 00:00:00
2023-12-13T07:00:36.648015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:00:36.850757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

호기
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
1
1189 
<NA>
365 

Length

Max length4
Median length1
Mean length1.7046332
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 1189
76.5%
<NA> 365
 
23.5%

Length

2023-12-13T07:00:37.023279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:00:37.135344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1189
76.5%
na 365
 
23.5%

총량(kw)
Real number (ℝ)

Distinct1393
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2977.7203
Minimum12.96
Maximum6197.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-13T07:00:37.260418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12.96
5-th percentile660.24
Q11970.28
median2891.88
Q34088.7
95-th percentile5285.124
Maximum6197.04
Range6184.08
Interquartile range (IQR)2118.42

Descriptive statistics

Standard deviation1392.1472
Coefficient of variation (CV)0.46752115
Kurtosis-0.81918298
Mean2977.7203
Median Absolute Deviation (MAD)1040.04
Skewness0.037278839
Sum4627377.4
Variance1938073.9
MonotonicityNot monotonic
2023-12-13T07:00:37.401473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4500.72 4
 
0.3%
2081.52 3
 
0.2%
2725.92 3
 
0.2%
2668.32 3
 
0.2%
2305.44 3
 
0.2%
2477.52 3
 
0.2%
1157.04 2
 
0.1%
3828.24 2
 
0.1%
2679.12 2
 
0.1%
1858.32 2
 
0.1%
Other values (1383) 1527
98.3%
ValueCountFrequency (%)
12.96 1
0.1%
48.96 1
0.1%
65.52 1
0.1%
90.72 1
0.1%
101.52 1
0.1%
156.24 1
0.1%
168.48 1
0.1%
174.96 1
0.1%
184.32 1
0.1%
193.68 1
0.1%
ValueCountFrequency (%)
6197.04 1
0.1%
6075.36 1
0.1%
6060.96 1
0.1%
5965.2 1
0.1%
5935.68 1
0.1%
5920.56 1
0.1%
5843.52 1
0.1%
5841.36 1
0.1%
5813.28 1
0.1%
5778.0 1
0.1%

평균(kw)
Real number (ℝ)

Distinct1115
Distinct (%)71.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.07255
Minimum0.54
Maximum258
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-13T07:00:37.538257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.54
5-th percentile27.816
Q182.02
median120.635
Q3170
95-th percentile220
Maximum258
Range257.46
Interquartile range (IQR)87.98

Descriptive statistics

Standard deviation58.007407
Coefficient of variation (CV)0.46752813
Kurtosis-0.81916776
Mean124.07255
Median Absolute Deviation (MAD)43.515
Skewness0.037555625
Sum192808.74
Variance3364.8593
MonotonicityNot monotonic
2023-12-13T07:00:37.695995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
114.0 10
 
0.6%
197.0 10
 
0.6%
111.0 9
 
0.6%
117.0 8
 
0.5%
110.0 7
 
0.5%
99.0 7
 
0.5%
126.0 7
 
0.5%
123.0 7
 
0.5%
195.0 7
 
0.5%
149.0 6
 
0.4%
Other values (1105) 1476
95.0%
ValueCountFrequency (%)
0.54 1
0.1%
2.0 1
0.1%
3.0 1
0.1%
3.78 1
0.1%
4.23 1
0.1%
6.51 1
0.1%
7.0 1
0.1%
7.29 1
0.1%
7.68 1
0.1%
8.07 1
0.1%
ValueCountFrequency (%)
258.0 1
 
0.1%
253.0 2
0.1%
249.0 1
 
0.1%
247.0 2
0.1%
243.0 2
0.1%
242.0 1
 
0.1%
241.0 2
0.1%
239.0 1
 
0.1%
238.0 4
0.3%
237.0 2
0.1%

최대(kw)
Real number (ℝ)

Distinct698
Distinct (%)44.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean465.77884
Minimum3.6
Maximum765.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-13T07:00:37.831293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile138.708
Q1368.82
median493.56
Q3584.64
95-th percentile681.372
Maximum765.36
Range761.76
Interquartile range (IQR)215.82

Descriptive statistics

Standard deviation160.44522
Coefficient of variation (CV)0.34446654
Kurtosis-0.15672342
Mean465.77884
Median Absolute Deviation (MAD)103.32
Skewness-0.66770104
Sum723820.32
Variance25742.67
MonotonicityNot monotonic
2023-12-13T07:00:37.994565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
460.08 8
 
0.5%
519.12 8
 
0.5%
571.68 7
 
0.5%
588.24 7
 
0.5%
584.64 7
 
0.5%
471.6 7
 
0.5%
481.68 7
 
0.5%
427.68 7
 
0.5%
475.92 6
 
0.4%
528.48 6
 
0.4%
Other values (688) 1484
95.5%
ValueCountFrequency (%)
3.6 1
0.1%
13.68 1
0.1%
15.84 1
0.1%
26.64 1
0.1%
34.56 1
0.1%
36.72 1
0.1%
38.88 1
0.1%
41.04 1
0.1%
43.2 1
0.1%
45.36 1
0.1%
ValueCountFrequency (%)
765.36 1
0.1%
762.48 1
0.1%
758.88 1
0.1%
756.0 2
0.1%
755.28 1
0.1%
752.4 1
0.1%
750.24 1
0.1%
749.52 1
0.1%
748.8 1
0.1%
744.48 1
0.1%

최소(kw)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
0
1554 

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 1554
100.0%

Length

2023-12-13T07:00:38.148033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:00:38.282963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1554
100.0%

최대(시간별_kw)
Real number (ℝ)

Distinct698
Distinct (%)44.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean465.77884
Minimum3.6
Maximum765.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-13T07:00:38.400002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile138.708
Q1368.82
median493.56
Q3584.64
95-th percentile681.372
Maximum765.36
Range761.76
Interquartile range (IQR)215.82

Descriptive statistics

Standard deviation160.44522
Coefficient of variation (CV)0.34446654
Kurtosis-0.15672342
Mean465.77884
Median Absolute Deviation (MAD)103.32
Skewness-0.66770104
Sum723820.32
Variance25742.67
MonotonicityNot monotonic
2023-12-13T07:00:38.833269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
460.08 8
 
0.5%
519.12 8
 
0.5%
571.68 7
 
0.5%
588.24 7
 
0.5%
584.64 7
 
0.5%
471.6 7
 
0.5%
481.68 7
 
0.5%
427.68 7
 
0.5%
475.92 6
 
0.4%
528.48 6
 
0.4%
Other values (688) 1484
95.5%
ValueCountFrequency (%)
3.6 1
0.1%
13.68 1
0.1%
15.84 1
0.1%
26.64 1
0.1%
34.56 1
0.1%
36.72 1
0.1%
38.88 1
0.1%
41.04 1
0.1%
43.2 1
0.1%
45.36 1
0.1%
ValueCountFrequency (%)
765.36 1
0.1%
762.48 1
0.1%
758.88 1
0.1%
756.0 2
0.1%
755.28 1
0.1%
752.4 1
0.1%
750.24 1
0.1%
749.52 1
0.1%
748.8 1
0.1%
744.48 1
0.1%

최소(시간별_kw)
Real number (ℝ)

Distinct97
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5943501
Minimum0.7
Maximum54.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-13T07:00:38.994716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.7
5-th percentile0.72
Q11.4
median3.6
Q37.92
95-th percentile24.48
Maximum54.7
Range54
Interquartile range (IQR)6.52

Descriptive statistics

Standard deviation8.4511934
Coefficient of variation (CV)1.2815809
Kurtosis6.7118046
Mean6.5943501
Median Absolute Deviation (MAD)2.88
Skewness2.4014856
Sum10247.62
Variance71.42267
MonotonicityNot monotonic
2023-12-13T07:00:39.162716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.72 297
19.1%
1.44 146
 
9.4%
2.16 104
 
6.7%
3.6 90
 
5.8%
2.88 89
 
5.7%
0.7 71
 
4.6%
4.32 67
 
4.3%
5.04 49
 
3.2%
6.48 45
 
2.9%
5.76 41
 
2.6%
Other values (87) 555
35.7%
ValueCountFrequency (%)
0.7 71
 
4.6%
0.72 297
19.1%
1.4 34
 
2.2%
1.44 146
9.4%
2.16 104
 
6.7%
2.2 17
 
1.1%
2.88 89
 
5.7%
2.9 12
 
0.8%
3.6 90
 
5.8%
4.3 5
 
0.3%
ValueCountFrequency (%)
54.7 1
0.1%
54.0 1
0.1%
52.56 1
0.1%
51.84 1
0.1%
51.1 1
0.1%
48.24 2
0.1%
47.52 2
0.1%
45.36 1
0.1%
43.2 2
0.1%
42.5 1
0.1%

1
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
0
1554 

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 1554
100.0%

Length

2023-12-13T07:00:39.307095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:00:39.408702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1554
100.0%

2
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
0
1554 

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 1554
100.0%

Length

2023-12-13T07:00:39.517001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:00:39.618297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1554
100.0%

3
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
0
1554 

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 1554
100.0%

Length

2023-12-13T07:00:39.746925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:00:39.878405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1554
100.0%

4
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
0
1554 

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 1554
100.0%

Length

2023-12-13T07:00:40.020226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:00:40.128847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1554
100.0%

5
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
0
1554 

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 1554
100.0%

Length

2023-12-13T07:00:40.253500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:00:40.356373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1554
100.0%

6
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.39428571
Minimum0
Maximum13.68
Zeros1349
Zeros (%)86.8%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-13T07:00:40.442349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.88
Maximum13.68
Range13.68
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.3389778
Coefficient of variation (CV)3.3959582
Kurtosis24.178797
Mean0.39428571
Median Absolute Deviation (MAD)0
Skewness4.5024345
Sum612.72
Variance1.7928616
MonotonicityNot monotonic
2023-12-13T07:00:40.594918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 1349
86.8%
0.72 55
 
3.5%
1.44 32
 
2.1%
2.16 25
 
1.6%
3.6 18
 
1.2%
2.88 17
 
1.1%
5.04 14
 
0.9%
4.32 11
 
0.7%
5.76 9
 
0.6%
6.48 8
 
0.5%
Other values (6) 16
 
1.0%
ValueCountFrequency (%)
0.0 1349
86.8%
0.72 55
 
3.5%
1.44 32
 
2.1%
2.16 25
 
1.6%
2.88 17
 
1.1%
3.6 18
 
1.2%
4.32 11
 
0.7%
5.04 14
 
0.9%
5.76 9
 
0.6%
6.48 8
 
0.5%
ValueCountFrequency (%)
13.68 1
 
0.1%
12.24 1
 
0.1%
11.52 1
 
0.1%
9.36 1
 
0.1%
7.92 6
0.4%
7.2 6
0.4%
6.48 8
0.5%
5.76 9
0.6%
5.04 14
0.9%
4.32 11
0.7%

7
Real number (ℝ)

ZEROS 

Distinct109
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.123861
Minimum0
Maximum99.36
Zeros827
Zeros (%)53.2%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-13T07:00:40.777721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q314.4
95-th percentile57.132
Maximum99.36
Range99.36
Interquartile range (IQR)14.4

Descriptive statistics

Standard deviation18.990147
Coefficient of variation (CV)1.7071543
Kurtosis2.3411587
Mean11.123861
Median Absolute Deviation (MAD)0
Skewness1.8114392
Sum17286.48
Variance360.62567
MonotonicityNot monotonic
2023-12-13T07:00:40.934833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 827
53.2%
0.72 63
 
4.1%
1.44 34
 
2.2%
2.88 25
 
1.6%
4.32 21
 
1.4%
2.16 19
 
1.2%
6.48 19
 
1.2%
9.36 17
 
1.1%
7.92 17
 
1.1%
5.76 16
 
1.0%
Other values (99) 496
31.9%
ValueCountFrequency (%)
0.0 827
53.2%
0.72 63
 
4.1%
1.44 34
 
2.2%
2.16 19
 
1.2%
2.88 25
 
1.6%
3.6 16
 
1.0%
4.32 21
 
1.4%
5.04 12
 
0.8%
5.76 16
 
1.0%
6.48 19
 
1.2%
ValueCountFrequency (%)
99.36 1
0.1%
97.92 1
0.1%
84.24 1
0.1%
79.92 2
0.1%
77.04 1
0.1%
76.32 1
0.1%
75.6 1
0.1%
74.16 1
0.1%
73.44 1
0.1%
72.72 2
0.1%

8
Real number (ℝ)

ZEROS 

Distinct282
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.60834
Minimum0
Maximum234.72
Zeros294
Zeros (%)18.9%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-13T07:00:41.100886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.44
median29.52
Q395.04
95-th percentile182.88
Maximum234.72
Range234.72
Interquartile range (IQR)93.6

Descriptive statistics

Standard deviation61.941839
Coefficient of variation (CV)1.1342927
Kurtosis-0.18057391
Mean54.60834
Median Absolute Deviation (MAD)29.52
Skewness1.007129
Sum84861.36
Variance3836.7914
MonotonicityNot monotonic
2023-12-13T07:00:41.259259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 294
 
18.9%
0.72 79
 
5.1%
2.16 33
 
2.1%
1.44 25
 
1.6%
2.88 24
 
1.5%
4.32 18
 
1.2%
6.48 16
 
1.0%
10.08 16
 
1.0%
3.6 14
 
0.9%
7.2 14
 
0.9%
Other values (272) 1021
65.7%
ValueCountFrequency (%)
0.0 294
18.9%
0.72 79
 
5.1%
1.44 25
 
1.6%
2.16 33
 
2.1%
2.88 24
 
1.5%
3.6 14
 
0.9%
4.32 18
 
1.2%
5.04 13
 
0.8%
5.76 11
 
0.7%
6.48 16
 
1.0%
ValueCountFrequency (%)
234.72 1
 
0.1%
231.84 1
 
0.1%
230.4 2
0.1%
225.36 1
 
0.1%
224.64 2
0.1%
223.2 3
0.2%
222.48 1
 
0.1%
219.6 2
0.1%
214.56 1
 
0.1%
211.68 2
0.1%

9
Real number (ℝ)

ZEROS 

Distinct495
Distinct (%)31.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.35907
Minimum0
Maximum436.32
Zeros26
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-13T07:00:41.413211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.36
Q149.14
median117.72
Q3226.8
95-th percentile345.852
Maximum436.32
Range436.32
Interquartile range (IQR)177.66

Descriptive statistics

Standard deviation110.60048
Coefficient of variation (CV)0.76614845
Kurtosis-0.82500108
Mean144.35907
Median Absolute Deviation (MAD)78.84
Skewness0.59841565
Sum224334
Variance12232.466
MonotonicityNot monotonic
2023-12-13T07:00:41.556563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 26
 
1.7%
36.72 12
 
0.8%
54.72 11
 
0.7%
36.0 11
 
0.7%
43.2 11
 
0.7%
26.64 10
 
0.6%
52.56 10
 
0.6%
62.64 10
 
0.6%
0.72 10
 
0.6%
41.76 9
 
0.6%
Other values (485) 1434
92.3%
ValueCountFrequency (%)
0.0 26
1.7%
0.72 10
 
0.6%
1.44 4
 
0.3%
2.16 1
 
0.1%
2.88 5
 
0.3%
3.6 9
 
0.6%
4.32 3
 
0.2%
5.04 3
 
0.2%
5.76 4
 
0.3%
6.48 4
 
0.3%
ValueCountFrequency (%)
436.32 1
0.1%
426.24 1
0.1%
417.6 1
0.1%
414.0 1
0.1%
411.12 1
0.1%
409.68 1
0.1%
408.24 1
0.1%
406.8 1
0.1%
406.08 1
0.1%
402.48 1
0.1%

10
Real number (ℝ)

Distinct656
Distinct (%)42.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean252.65375
Minimum0
Maximum592.56
Zeros8
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-13T07:00:41.716891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile34.56
Q1134.82
median232.2
Q3372.24
95-th percentile497.772
Maximum592.56
Range592.56
Interquartile range (IQR)237.42

Descriptive statistics

Standard deviation146.69858
Coefficient of variation (CV)0.58063093
Kurtosis-0.99519897
Mean252.65375
Median Absolute Deviation (MAD)114.12
Skewness0.23168364
Sum392623.92
Variance21520.473
MonotonicityNot monotonic
2023-12-13T07:00:41.877520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
137.52 8
 
0.5%
0.0 8
 
0.5%
169.92 8
 
0.5%
231.84 8
 
0.5%
142.56 7
 
0.5%
249.12 7
 
0.5%
134.64 7
 
0.5%
220.32 6
 
0.4%
92.88 6
 
0.4%
86.4 6
 
0.4%
Other values (646) 1483
95.4%
ValueCountFrequency (%)
0.0 8
0.5%
0.72 2
 
0.1%
1.44 3
 
0.2%
2.16 3
 
0.2%
2.88 3
 
0.2%
5.04 2
 
0.1%
6.48 1
 
0.1%
7.2 5
0.3%
7.92 2
 
0.1%
8.64 2
 
0.1%
ValueCountFrequency (%)
592.56 1
0.1%
584.64 1
0.1%
570.24 1
0.1%
566.64 1
0.1%
561.6 1
0.1%
559.44 1
0.1%
558.72 2
0.1%
558.0 1
0.1%
557.28 1
0.1%
556.56 1
0.1%

11
Real number (ℝ)

Distinct747
Distinct (%)48.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean346.79259
Minimum0
Maximum706.32
Zeros5
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-13T07:00:42.039674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile54.468
Q1218.16
median351
Q3490.32
95-th percentile606.96
Maximum706.32
Range706.32
Interquartile range (IQR)272.16

Descriptive statistics

Standard deviation170.73316
Coefficient of variation (CV)0.49232066
Kurtosis-0.9505285
Mean346.79259
Median Absolute Deviation (MAD)135.36
Skewness-0.10701135
Sum538915.68
Variance29149.81
MonotonicityNot monotonic
2023-12-13T07:00:42.177560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
419.76 8
 
0.5%
602.64 8
 
0.5%
292.32 7
 
0.5%
218.88 7
 
0.5%
533.52 6
 
0.4%
340.56 6
 
0.4%
329.76 6
 
0.4%
233.28 6
 
0.4%
410.4 6
 
0.4%
545.76 6
 
0.4%
Other values (737) 1488
95.8%
ValueCountFrequency (%)
0.0 5
0.3%
1.44 1
 
0.1%
3.6 1
 
0.1%
4.32 1
 
0.1%
5.04 1
 
0.1%
7.2 1
 
0.1%
8.64 1
 
0.1%
10.8 1
 
0.1%
12.24 1
 
0.1%
13.68 1
 
0.1%
ValueCountFrequency (%)
706.32 1
0.1%
690.48 1
0.1%
684.72 1
0.1%
678.96 1
0.1%
675.36 1
0.1%
673.2 1
0.1%
668.16 1
0.1%
665.28 1
0.1%
664.56 1
0.1%
663.84 2
0.1%

12
Real number (ℝ)

Distinct751
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean402.4573
Minimum0
Maximum762.48
Zeros3
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-13T07:00:42.305030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile73.188
Q1275.76
median426.96
Q3546.48
95-th percentile659.52
Maximum762.48
Range762.48
Interquartile range (IQR)270.72

Descriptive statistics

Standard deviation180.71014
Coefficient of variation (CV)0.44901694
Kurtosis-0.78056794
Mean402.4573
Median Absolute Deviation (MAD)131.04
Skewness-0.3712923
Sum625418.64
Variance32656.156
MonotonicityNot monotonic
2023-12-13T07:00:42.454776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
557.28 8
 
0.5%
488.88 7
 
0.5%
398.16 7
 
0.5%
608.4 6
 
0.4%
463.68 6
 
0.4%
507.6 6
 
0.4%
581.04 6
 
0.4%
560.16 6
 
0.4%
590.4 6
 
0.4%
492.48 5
 
0.3%
Other values (741) 1491
95.9%
ValueCountFrequency (%)
0.0 3
0.2%
0.72 1
 
0.1%
2.16 1
 
0.1%
2.88 1
 
0.1%
3.6 1
 
0.1%
5.76 1
 
0.1%
9.36 1
 
0.1%
10.08 1
 
0.1%
10.8 1
 
0.1%
12.24 2
0.1%
ValueCountFrequency (%)
762.48 1
0.1%
756.0 1
0.1%
749.52 1
0.1%
745.2 1
0.1%
737.28 1
0.1%
726.48 1
0.1%
722.88 2
0.1%
722.16 2
0.1%
721.44 1
0.1%
720.0 1
0.1%

13
Real number (ℝ)

Distinct743
Distinct (%)47.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean422.38842
Minimum0
Maximum765.36
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-13T07:00:42.588137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile74.88
Q1293.04
median462.24
Q3566.64
95-th percentile673.92
Maximum765.36
Range765.36
Interquartile range (IQR)273.6

Descriptive statistics

Standard deviation184.37428
Coefficient of variation (CV)0.43650411
Kurtosis-0.68466831
Mean422.38842
Median Absolute Deviation (MAD)123.84
Skewness-0.50554627
Sum656391.6
Variance33993.874
MonotonicityNot monotonic
2023-12-13T07:00:42.738109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
471.6 8
 
0.5%
519.12 8
 
0.5%
536.4 7
 
0.5%
561.6 7
 
0.5%
444.24 7
 
0.5%
588.96 6
 
0.4%
499.68 6
 
0.4%
537.12 6
 
0.4%
534.24 6
 
0.4%
470.88 6
 
0.4%
Other values (733) 1487
95.7%
ValueCountFrequency (%)
0.0 1
0.1%
0.72 1
0.1%
1.44 1
0.1%
2.88 1
0.1%
3.6 1
0.1%
7.2 1
0.1%
7.92 1
0.1%
10.8 1
0.1%
11.52 2
0.1%
12.24 1
0.1%
ValueCountFrequency (%)
765.36 1
0.1%
758.88 1
0.1%
755.28 1
0.1%
750.24 1
0.1%
748.8 1
0.1%
745.92 2
0.1%
744.48 1
0.1%
743.04 1
0.1%
740.88 2
0.1%
737.28 2
0.1%

14
Real number (ℝ)

Distinct748
Distinct (%)48.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean408.99151
Minimum0
Maximum756
Zeros4
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-13T07:00:42.871816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile78.912
Q1284.4
median440.28
Q3552.24
95-th percentile660.96
Maximum756
Range756
Interquartile range (IQR)267.84

Descriptive statistics

Standard deviation181.11983
Coefficient of variation (CV)0.44284496
Kurtosis-0.72242356
Mean408.99151
Median Absolute Deviation (MAD)127.08
Skewness-0.4575843
Sum635572.8
Variance32804.392
MonotonicityNot monotonic
2023-12-13T07:00:42.997413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
488.88 8
 
0.5%
450.72 7
 
0.5%
472.32 7
 
0.5%
473.04 7
 
0.5%
574.56 7
 
0.5%
561.6 6
 
0.4%
564.48 6
 
0.4%
514.08 6
 
0.4%
573.12 6
 
0.4%
355.68 6
 
0.4%
Other values (738) 1488
95.8%
ValueCountFrequency (%)
0.0 4
0.3%
1.44 2
0.1%
2.16 1
 
0.1%
4.32 1
 
0.1%
6.48 1
 
0.1%
7.92 2
0.1%
9.36 1
 
0.1%
10.8 1
 
0.1%
12.24 1
 
0.1%
14.4 1
 
0.1%
ValueCountFrequency (%)
756.0 1
0.1%
752.4 1
0.1%
739.44 1
0.1%
737.28 1
0.1%
736.56 1
0.1%
735.12 1
0.1%
728.64 1
0.1%
727.92 1
0.1%
727.2 1
0.1%
725.76 1
0.1%

15
Real number (ℝ)

Distinct741
Distinct (%)47.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean366.21637
Minimum0
Maximum689.04
Zeros5
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-13T07:00:43.114532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile59.04
Q1242.82
median378.36
Q3512.46
95-th percentile619.2
Maximum689.04
Range689.04
Interquartile range (IQR)269.64

Descriptive statistics

Standard deviation172.28689
Coefficient of variation (CV)0.4704511
Kurtosis-0.87189349
Mean366.21637
Median Absolute Deviation (MAD)134.28
Skewness-0.2662346
Sum569100.24
Variance29682.774
MonotonicityNot monotonic
2023-12-13T07:00:43.241466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
295.92 8
 
0.5%
416.88 7
 
0.5%
578.88 7
 
0.5%
388.08 7
 
0.5%
536.4 7
 
0.5%
444.96 6
 
0.4%
424.08 6
 
0.4%
446.4 6
 
0.4%
325.44 6
 
0.4%
298.08 6
 
0.4%
Other values (731) 1488
95.8%
ValueCountFrequency (%)
0.0 5
0.3%
1.44 2
 
0.1%
5.76 2
 
0.1%
6.48 3
0.2%
7.92 1
 
0.1%
9.36 1
 
0.1%
11.52 2
 
0.1%
12.24 1
 
0.1%
13.68 1
 
0.1%
14.4 1
 
0.1%
ValueCountFrequency (%)
689.04 2
0.1%
684.0 1
0.1%
678.24 1
0.1%
674.64 1
0.1%
671.04 1
0.1%
669.6 1
0.1%
666.72 1
0.1%
664.56 1
0.1%
663.84 2
0.1%
661.68 1
0.1%

16
Real number (ℝ)

Distinct687
Distinct (%)44.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean287.8434
Minimum0
Maximum604.08
Zeros9
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-13T07:00:43.370715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile43.668
Q1169.2
median280.44
Q3420.3
95-th percentile527.292
Maximum604.08
Range604.08
Interquartile range (IQR)251.1

Descriptive statistics

Standard deviation154.31914
Coefficient of variation (CV)0.53612187
Kurtosis-1.0726137
Mean287.8434
Median Absolute Deviation (MAD)125.64
Skewness0.019450924
Sum447308.64
Variance23814.397
MonotonicityNot monotonic
2023-12-13T07:00:43.768786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193.68 9
 
0.6%
0.0 9
 
0.6%
201.6 9
 
0.6%
363.6 8
 
0.5%
447.84 7
 
0.5%
190.8 7
 
0.5%
483.12 7
 
0.5%
169.2 7
 
0.5%
312.48 6
 
0.4%
45.36 6
 
0.4%
Other values (677) 1479
95.2%
ValueCountFrequency (%)
0.0 9
0.6%
0.72 1
 
0.1%
1.44 2
 
0.1%
2.16 1
 
0.1%
4.32 1
 
0.1%
8.64 4
0.3%
9.36 1
 
0.1%
10.08 2
 
0.1%
10.8 3
 
0.2%
11.52 1
 
0.1%
ValueCountFrequency (%)
604.08 1
0.1%
591.12 1
0.1%
588.24 2
0.1%
586.08 1
0.1%
582.48 1
0.1%
581.76 2
0.1%
578.16 1
0.1%
576.72 1
0.1%
571.68 1
0.1%
569.52 1
0.1%

17
Real number (ℝ)

Distinct531
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean181.00587
Minimum0
Maximum447.12
Zeros12
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-13T07:00:43.895316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18.468
Q172
median154.08
Q3290.7
95-th percentile383.292
Maximum447.12
Range447.12
Interquartile range (IQR)218.7

Descriptive statistics

Standard deviation122.41621
Coefficient of variation (CV)0.67631075
Kurtosis-1.1772889
Mean181.00587
Median Absolute Deviation (MAD)96.48
Skewness0.34419233
Sum281283.12
Variance14985.73
MonotonicityNot monotonic
2023-12-13T07:00:44.010756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 12
 
0.8%
59.04 10
 
0.6%
70.56 10
 
0.6%
50.4 10
 
0.6%
48.96 9
 
0.6%
73.44 9
 
0.6%
66.96 8
 
0.5%
136.08 8
 
0.5%
72.72 8
 
0.5%
93.6 8
 
0.5%
Other values (521) 1462
94.1%
ValueCountFrequency (%)
0.0 12
0.8%
0.72 2
 
0.1%
1.44 2
 
0.1%
2.16 4
 
0.3%
2.88 2
 
0.1%
3.6 2
 
0.1%
4.32 4
 
0.3%
5.04 5
0.3%
5.76 3
 
0.2%
6.48 2
 
0.1%
ValueCountFrequency (%)
447.12 1
 
0.1%
438.48 2
0.1%
437.76 1
 
0.1%
432.0 3
0.2%
431.28 2
0.1%
430.56 1
 
0.1%
429.84 1
 
0.1%
425.52 1
 
0.1%
424.8 1
 
0.1%
423.36 2
0.1%

18
Real number (ℝ)

ZEROS 

Distinct330
Distinct (%)21.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.221931
Minimum0
Maximum271.44
Zeros122
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-13T07:00:44.133859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.2
median51.12
Q3139.68
95-th percentile222.732
Maximum271.44
Range271.44
Interquartile range (IQR)132.48

Descriptive statistics

Standard deviation77.938904
Coefficient of variation (CV)0.99638175
Kurtosis-0.83128629
Mean78.221931
Median Absolute Deviation (MAD)49.68
Skewness0.71393171
Sum121556.88
Variance6074.4728
MonotonicityNot monotonic
2023-12-13T07:00:44.284811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 122
 
7.9%
0.72 85
 
5.5%
1.44 46
 
3.0%
2.16 28
 
1.8%
2.88 26
 
1.7%
3.6 23
 
1.5%
4.32 18
 
1.2%
14.4 14
 
0.9%
7.92 14
 
0.9%
10.8 13
 
0.8%
Other values (320) 1165
75.0%
ValueCountFrequency (%)
0.0 122
7.9%
0.72 85
5.5%
1.44 46
 
3.0%
2.16 28
 
1.8%
2.88 26
 
1.7%
3.6 23
 
1.5%
4.32 18
 
1.2%
5.04 10
 
0.6%
5.76 12
 
0.8%
6.48 13
 
0.8%
ValueCountFrequency (%)
271.44 1
 
0.1%
262.8 1
 
0.1%
262.08 1
 
0.1%
260.64 2
0.1%
259.92 1
 
0.1%
257.04 2
0.1%
256.32 3
0.2%
255.6 1
 
0.1%
254.16 2
0.1%
253.44 2
0.1%

19
Real number (ℝ)

ZEROS 

Distinct144
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.203707
Minimum0
Maximum142.56
Zeros682
Zeros (%)43.9%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-13T07:00:44.399299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.16
Q333.12
95-th percentile82.08
Maximum142.56
Range142.56
Interquartile range (IQR)33.12

Descriptive statistics

Standard deviation27.892378
Coefficient of variation (CV)1.4524476
Kurtosis0.83725725
Mean19.203707
Median Absolute Deviation (MAD)2.16
Skewness1.3957946
Sum29842.56
Variance777.98475
MonotonicityNot monotonic
2023-12-13T07:00:44.523166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 682
43.9%
0.72 52
 
3.3%
1.44 33
 
2.1%
2.88 26
 
1.7%
2.16 21
 
1.4%
3.6 20
 
1.3%
7.92 19
 
1.2%
6.48 17
 
1.1%
4.32 17
 
1.1%
5.04 17
 
1.1%
Other values (134) 650
41.8%
ValueCountFrequency (%)
0.0 682
43.9%
0.72 52
 
3.3%
1.44 33
 
2.1%
2.16 21
 
1.4%
2.88 26
 
1.7%
3.6 20
 
1.3%
4.32 17
 
1.1%
5.04 17
 
1.1%
5.76 10
 
0.6%
6.48 17
 
1.1%
ValueCountFrequency (%)
142.56 1
0.1%
120.24 1
0.1%
113.04 2
0.1%
111.6 1
0.1%
108.72 1
0.1%
105.12 2
0.1%
101.52 2
0.1%
100.8 1
0.1%
100.08 1
0.1%
97.92 1
0.1%

20
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4599228
Minimum0
Maximum27.36
Zeros1182
Zeros (%)76.1%
Negative0
Negative (%)0.0%
Memory size13.8 KiB
2023-12-13T07:00:44.636283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10.08
Maximum27.36
Range27.36
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.4872826
Coefficient of variation (CV)2.3886761
Kurtosis9.2532158
Mean1.4599228
Median Absolute Deviation (MAD)0
Skewness2.8925784
Sum2268.72
Variance12.16114
MonotonicityNot monotonic
2023-12-13T07:00:44.750286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0.0 1182
76.1%
0.72 50
 
3.2%
1.44 37
 
2.4%
2.16 27
 
1.7%
3.6 23
 
1.5%
7.2 21
 
1.4%
9.36 20
 
1.3%
6.48 20
 
1.3%
2.88 19
 
1.2%
4.32 19
 
1.2%
Other values (21) 136
 
8.8%
ValueCountFrequency (%)
0.0 1182
76.1%
0.72 50
 
3.2%
1.44 37
 
2.4%
2.16 27
 
1.7%
2.88 19
 
1.2%
3.6 23
 
1.5%
4.32 19
 
1.2%
5.04 12
 
0.8%
5.76 17
 
1.1%
6.48 20
 
1.3%
ValueCountFrequency (%)
27.36 1
 
0.1%
25.2 1
 
0.1%
23.04 1
 
0.1%
20.88 1
 
0.1%
18.72 2
0.1%
18.0 1
 
0.1%
17.28 1
 
0.1%
16.56 3
0.2%
15.84 1
 
0.1%
15.12 4
0.3%

21
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
0
1554 

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 1554
100.0%

Length

2023-12-13T07:00:44.902646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:00:45.046997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1554
100.0%

22
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
0
1554 

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 1554
100.0%

Length

2023-12-13T07:00:45.157547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:00:45.271730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1554
100.0%

23
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
0
1554 

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 1554
100.0%

Length

2023-12-13T07:00:45.383194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:00:45.496533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1554
100.0%

24
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.3 KiB
0
1554 

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 1554
100.0%

Length

2023-12-13T07:00:45.592743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:00:45.708253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1554
100.0%

Sample

년월일호기총량(kw)평균(kw)최대(kw)최소(kw)최대(시간별_kw)최소(시간별_kw)123456789101112131415161718192021222324
02018-12-2912811.6117.0498.960498.962.16000000.00.00.054.72220.32367.92458.64498.96478.8387.36250.5692.162.160.00.00000
12018-12-3012838.24118.0500.40500.40.72000000.00.00.7256.88226.08367.92461.52500.4479.52394.56259.290.720.720.00.00000
22018-12-3112373.8499.0439.20439.24.32000000.00.00.045.36195.12350.64419.04439.2391.68252.0175.68100.84.320.00.00000
32019-01-0112155.6890.0405.360405.362.88000000.00.00.024.48142.56257.04322.56311.76405.36372.96241.9274.162.880.00.00000
42019-01-0211974.9682.0413.280413.282.88000000.00.00.014.434.56146.16332.64413.28398.88327.6223.281.362.880.00.00000
52019-01-0312604.24109.0472.320472.320.72000000.00.00.7250.4185.04322.56439.92472.32429.12361.44246.2492.883.60.00.00000
62019-01-0411371.657.0324.00324.02.16000000.00.00.037.44110.16106.56134.64203.76311.04324.0110.8830.962.160.00.00000
72019-01-0512588.4108.0473.040473.044.32000000.00.00.051.12213.84288.0357.84449.28473.04390.96260.6499.364.320.00.00000
82019-01-0612599.92108.0478.080478.083.6000000.00.00.027.36139.68306.0428.4478.08466.56388.8261.36100.083.60.00.00000
92019-01-0712152.0890.0413.280413.280.72000000.00.00.040.32164.16272.16380.88413.28401.04292.32126.061.20.720.00.00000
년월일호기총량(kw)평균(kw)최대(kw)최소(kw)최대(시간별_kw)최소(시간별_kw)123456789101112131415161718192021222324
15442023-03-2212271.694.65506.160506.169.4000000.00.019.4443.2137.52352.8424.08506.16431.28223.9287.1236.729.360.00.00000
15452023-03-2312921.04121.71508.320508.3212.2000000.00.012.9668.4106.56228.96354.96508.32493.2400.32362.88262.8109.4412.240.00000
15462023-03-2413221.28134.22530.640530.640.7000000.00.7260.48126.72277.2377.28496.08530.64473.04338.4286.56170.6475.67.920.00000
15472023-03-2513599.28149.97517.680517.681.4000000.01.4457.6183.6324.0434.88507.6486.0517.68455.04324.72189.36105.1212.240.00000
15482023-03-2614480.56186.69623.520623.5219.4000000.00.062.64219.6383.76509.76594.72623.52612.72558.0451.44305.28139.6819.440.00000
15492023-03-2714137.84172.41613.440613.440.7000000.00.7271.28222.48373.68493.2578.16613.44591.84529.92330.48180.0133.9218.720.00000
15502023-03-2813678.48153.27586.80586.80.7000000.00.7255.44165.6241.2340.56457.92486.0586.8520.56403.2275.76127.4417.280.00000
15512023-03-2913872.16161.34542.880542.880.7000000.00.7266.24202.32324.72444.24512.64542.88536.4480.24375.84254.16115.9215.840.00000
15522023-03-3014174.56173.94579.60579.61.4000000.01.4472.0206.64342.0462.96544.32579.6575.28521.28419.04284.4138.2427.360.00000
15532023-03-3114118.4171.6571.680571.681.4000000.01.4466.24200.88344.16460.8538.56571.68570.96516.96418.32278.64128.8820.880.00000