"%EF%BF%BD%EF%BF%BD%EF%BF%BD%EF%BF%BD%EF%BF%BD%EF%BF%BD%EF%BF%BD%EF%BF%BD%EF%BF%BD%20%EF%BF%BD%EF%BF%BD%EF%BF%BD%EF%BF%BD%EF%BF%BD%EF%BF%BD%20%EF%BF%BD%EF%BF%BD%EF%BF%BD%EF%BF%BD%EF%BF%BD%EF%BF%BD.csv"의 파일명이 "태양광 발전 현황.csv"으로 변경 됨.

Overview

Dataset statistics

Number of variables27
Number of observations7109
Missing cells48
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 MiB
Average record size in memory241.0 B

Variable types

Categorical9
DateTime1
Numeric17

Dataset

Description한국서부발전 태양광 발전 시설의 시간별 인버터출력 태양광 발전 정보 입니다. 제공데이터는 시간별 태양광 설비용량 입니다.
URLhttps://www.data.go.kr/data/15025486/fileData.do

Alerts

01시 is highly imbalanced (99.6%)Imbalance
02시 is highly imbalanced (99.6%)Imbalance
03시 is highly imbalanced (99.5%)Imbalance
04시 is highly imbalanced (99.6%)Imbalance
05시 is highly imbalanced (99.6%)Imbalance
23시 is highly imbalanced (99.5%)Imbalance
24시 is highly imbalanced (99.6%)Imbalance
06시 has 6523 (91.8%) zerosZeros
07시 has 3925 (55.2%) zerosZeros
08시 has 1510 (21.2%) zerosZeros
09시 has 214 (3.0%) zerosZeros
10시 has 90 (1.3%) zerosZeros
16시 has 74 (1.0%) zerosZeros
17시 has 127 (1.8%) zerosZeros
18시 has 761 (10.7%) zerosZeros
19시 has 2957 (41.6%) zerosZeros
20시 has 5391 (75.8%) zerosZeros
21시 has 6843 (96.3%) zerosZeros
22시 has 6949 (97.7%) zerosZeros

Reproduction

Analysis started2023-12-12 15:36:20.165208
Analysis finished2023-12-12 15:36:21.052172
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발전기명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
영암에프원태양광b
2372 
안산연성정수장태양광
2370 
세종시폐기물매립장태양광
2367 

Length

Max length12
Median length10
Mean length10.332255
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row세종시폐기물매립장태양광
2nd row안산연성정수장태양광
3rd row영암에프원태양광b
4th row세종시폐기물매립장태양광
5th row안산연성정수장태양광

Common Values

ValueCountFrequency (%)
영암에프원태양광b 2372
33.4%
안산연성정수장태양광 2370
33.3%
세종시폐기물매립장태양광 2367
33.3%

Length

2023-12-13T00:36:21.147626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:36:21.273323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영암에프원태양광b 2372
33.4%
안산연성정수장태양광 2370
33.3%
세종시폐기물매립장태양광 2367
33.3%

년월일
Date

Distinct2372
Distinct (%)33.4%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
Minimum2017-01-01 00:00:00
Maximum2023-06-30 00:00:00
2023-12-13T00:36:21.425622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:36:21.600490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

설비용량(MW)
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
13.296
2372 
1.49
2370 
1.628
2367 

Length

Max length6
Median length5
Mean length5.0002813
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.628
2nd row1.49
3rd row13.296
4th row1.628
5th row1.49

Common Values

ValueCountFrequency (%)
13.296 2372
33.4%
1.49 2370
33.3%
1.628 2367
33.3%

Length

2023-12-13T00:36:21.773524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:36:21.936487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13.296 2372
33.4%
1.49 2370
33.3%
1.628 2367
33.3%

01시
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
0.0
7105 
<NA>
 
2
18.24
 
1
17.28
 
1

Length

Max length5
Median length3
Mean length3.000844
Min length3

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 7105
99.9%
<NA> 2
 
< 0.1%
18.24 1
 
< 0.1%
17.28 1
 
< 0.1%

Length

2023-12-13T00:36:22.118070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:36:22.312561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 7105
99.9%
na 2
 
< 0.1%
18.24 1
 
< 0.1%
17.28 1
 
< 0.1%

02시
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
0
7107 
<NA>
 
2

Length

Max length4
Median length1
Mean length1.000844
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7107
> 99.9%
<NA> 2
 
< 0.1%

Length

2023-12-13T00:36:22.535299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:36:22.741972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 7107
> 99.9%
na 2
 
< 0.1%

03시
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
0
7106 
<NA>
 
3

Length

Max length4
Median length1
Mean length1.001266
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7106
> 99.9%
<NA> 3
 
< 0.1%

Length

2023-12-13T00:36:22.986132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:36:23.195471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 7106
> 99.9%
na 3
 
< 0.1%

04시
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
0
7107 
<NA>
 
2

Length

Max length4
Median length1
Mean length1.000844
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7107
> 99.9%
<NA> 2
 
< 0.1%

Length

2023-12-13T00:36:23.426346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:36:23.643634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 7107
> 99.9%
na 2
 
< 0.1%

05시
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
0
7107 
<NA>
 
2

Length

Max length4
Median length1
Mean length1.000844
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 7107
> 99.9%
<NA> 2
 
< 0.1%

Length

2023-12-13T00:36:23.901914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:36:24.062650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 7107
> 99.9%
na 2
 
< 0.1%

06시
Real number (ℝ)

ZEROS 

Distinct67
Distinct (%)0.9%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean920.47146
Minimum0
Maximum172800
Zeros6523
Zeros (%)91.8%
Negative0
Negative (%)0.0%
Memory size62.6 KiB
2023-12-13T00:36:24.245682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1200
Maximum172800
Range172800
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6042.383
Coefficient of variation (CV)6.5644437
Kurtosis188.69105
Mean920.47146
Median Absolute Deviation (MAD)0
Skewness11.308733
Sum6541790.6
Variance36510392
MonotonicityNot monotonic
2023-12-13T00:36:24.463251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6523
91.8%
9600.0 67
 
0.9%
120.0 55
 
0.8%
1200.0 55
 
0.8%
28800.0 35
 
0.5%
19200.0 35
 
0.5%
2400.0 33
 
0.5%
240.0 29
 
0.4%
38400.0 28
 
0.4%
3600.0 24
 
0.3%
Other values (57) 223
 
3.1%
ValueCountFrequency (%)
0.0 6523
91.8%
1.2 13
 
0.2%
2.4 5
 
0.1%
2.64 1
 
< 0.1%
3.6 6
 
0.1%
4.8 2
 
< 0.1%
6.0 4
 
0.1%
7.2 2
 
< 0.1%
8.4 2
 
< 0.1%
9.6 7
 
0.1%
ValueCountFrequency (%)
172800.0 1
 
< 0.1%
134400.0 1
 
< 0.1%
105600.0 1
 
< 0.1%
86400.0 1
 
< 0.1%
76800.0 3
 
< 0.1%
67200.0 8
 
0.1%
57600.0 4
 
0.1%
48000.0 15
0.2%
38400.0 28
0.4%
28800.0 35
0.5%

07시
Real number (ℝ)

ZEROS 

Distinct912
Distinct (%)12.8%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean49650.611
Minimum0
Maximum1132800
Zeros3925
Zeros (%)55.2%
Negative0
Negative (%)0.0%
Memory size62.6 KiB
2023-12-13T00:36:24.685563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q324900
95-th percentile326400
Maximum1132800
Range1132800
Interquartile range (IQR)24900

Descriptive statistics

Standard deviation138012.08
Coefficient of variation (CV)2.7796652
Kurtosis17.650566
Mean49650.611
Median Absolute Deviation (MAD)0
Skewness4.0321939
Sum3.5286689 × 108
Variance1.9047333 × 1010
MonotonicityNot monotonic
2023-12-13T00:36:24.902921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 3925
55.2%
9600.0 74
 
1.0%
120.0 67
 
0.9%
1200.0 65
 
0.9%
28800.0 56
 
0.8%
19200.0 52
 
0.7%
3600.0 45
 
0.6%
38400.0 44
 
0.6%
48000.0 43
 
0.6%
2400.0 42
 
0.6%
Other values (902) 2694
37.9%
ValueCountFrequency (%)
0.0 3925
55.2%
0.48 1
 
< 0.1%
0.72 1
 
< 0.1%
0.84 1
 
< 0.1%
1.2 5
 
0.1%
1.68 2
 
< 0.1%
2.16 1
 
< 0.1%
2.4 4
 
0.1%
2.52 2
 
< 0.1%
2.88 1
 
< 0.1%
ValueCountFrequency (%)
1132800.0 1
< 0.1%
1113600.0 1
< 0.1%
1094400.0 2
< 0.1%
1084800.0 2
< 0.1%
1065600.0 1
< 0.1%
1046400.0 1
< 0.1%
1036800.0 1
< 0.1%
998400.0 1
< 0.1%
988800.0 1
< 0.1%
979200.0 2
< 0.1%

08시
Real number (ℝ)

ZEROS 

Distinct2088
Distinct (%)29.4%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean295370.3
Minimum0
Maximum3187200
Zeros1510
Zeros (%)21.2%
Negative0
Negative (%)0.0%
Memory size62.6 KiB
2023-12-13T00:36:25.427300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q173.14
median45000
Q3270360
95-th percentile1776000
Maximum3187200
Range3187200
Interquartile range (IQR)270286.86

Descriptive statistics

Standard deviation568808.03
Coefficient of variation (CV)1.9257455
Kurtosis6.2308125
Mean295370.3
Median Absolute Deviation (MAD)45000
Skewness2.5931253
Sum2.0991967 × 109
Variance3.2354258 × 1011
MonotonicityNot monotonic
2023-12-13T00:36:25.633704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1510
 
21.2%
9600.0 77
 
1.1%
1200.0 76
 
1.1%
19200.0 71
 
1.0%
120.0 48
 
0.7%
28800.0 43
 
0.6%
2400.0 39
 
0.5%
38400.0 36
 
0.5%
3600.0 33
 
0.5%
4800.0 30
 
0.4%
Other values (2078) 5144
72.4%
ValueCountFrequency (%)
0.0 1510
21.2%
0.72 1
 
< 0.1%
0.84 1
 
< 0.1%
0.96 1
 
< 0.1%
1.2 15
 
0.2%
1.44 1
 
< 0.1%
1.92 1
 
< 0.1%
2.4 13
 
0.2%
2.76 1
 
< 0.1%
2.88 1
 
< 0.1%
ValueCountFrequency (%)
3187200.0 1
< 0.1%
3100800.0 1
< 0.1%
3072000.0 1
< 0.1%
3052800.0 1
< 0.1%
3014400.0 1
< 0.1%
2995200.0 2
< 0.1%
2985600.0 1
< 0.1%
2928000.0 1
< 0.1%
2918400.0 1
< 0.1%
2908800.0 2
< 0.1%

09시
Real number (ℝ)

ZEROS 

Distinct3288
Distinct (%)46.3%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean837199.4
Minimum0
Maximum6153600
Zeros214
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size62.6 KiB
2023-12-13T00:36:25.833680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile56.7
Q138400
median268800
Q3693600
95-th percentile4339200
Maximum6153600
Range6153600
Interquartile range (IQR)655200

Descriptive statistics

Standard deviation1342814.5
Coefficient of variation (CV)1.6039363
Kurtosis3.0057069
Mean837199.4
Median Absolute Deviation (MAD)266736
Skewness2.0285211
Sum5.9491389 × 109
Variance1.8031508 × 1012
MonotonicityNot monotonic
2023-12-13T00:36:25.983355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 214
 
3.0%
105600.0 22
 
0.3%
57600.0 19
 
0.3%
48000.0 18
 
0.3%
42000.0 17
 
0.2%
46800.0 17
 
0.2%
9600.0 16
 
0.2%
28800.0 16
 
0.2%
55200.0 16
 
0.2%
15600.0 16
 
0.2%
Other values (3278) 6735
94.7%
ValueCountFrequency (%)
0.0 214
3.0%
0.36 2
 
< 0.1%
0.6 1
 
< 0.1%
0.84 1
 
< 0.1%
1.2 5
 
0.1%
2.4 1
 
< 0.1%
2.76 1
 
< 0.1%
4.32 1
 
< 0.1%
4.8 3
 
< 0.1%
6.0 3
 
< 0.1%
ValueCountFrequency (%)
6153600.0 1
< 0.1%
5932800.0 1
< 0.1%
5913600.0 1
< 0.1%
5875200.0 1
< 0.1%
5846400.0 1
< 0.1%
5827200.0 1
< 0.1%
5808000.0 1
< 0.1%
5788800.0 1
< 0.1%
5769600.0 1
< 0.1%
5760000.0 1
< 0.1%

10시
Real number (ℝ)

ZEROS 

Distinct3846
Distinct (%)54.1%
Missing5
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1500830.6
Minimum0
Maximum8505600
Zeros90
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size62.6 KiB
2023-12-13T00:36:26.166815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile296.526
Q1160770
median592260
Q31046400
95-th percentile6844800
Maximum8505600
Range8505600
Interquartile range (IQR)885630

Descriptive statistics

Standard deviation2184302.8
Coefficient of variation (CV)1.455396
Kurtosis1.401273
Mean1500830.6
Median Absolute Deviation (MAD)434940
Skewness1.6775903
Sum1.0661901 × 1010
Variance4.7711787 × 1012
MonotonicityNot monotonic
2023-12-13T00:36:26.342482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 90
 
1.3%
163200.0 13
 
0.2%
224400.0 12
 
0.2%
182400.0 12
 
0.2%
196800.0 12
 
0.2%
6528000.0 11
 
0.2%
211200.0 11
 
0.2%
7190400.0 11
 
0.2%
272400.0 11
 
0.2%
206400.0 10
 
0.1%
Other values (3836) 6911
97.2%
ValueCountFrequency (%)
0.0 90
1.3%
0.36 1
 
< 0.1%
1.2 2
 
< 0.1%
2.4 1
 
< 0.1%
2.64 1
 
< 0.1%
5.52 1
 
< 0.1%
8.4 1
 
< 0.1%
13.2 1
 
< 0.1%
15.6 1
 
< 0.1%
18.0 1
 
< 0.1%
ValueCountFrequency (%)
8505600.0 1
< 0.1%
8409600.0 1
< 0.1%
8323200.0 1
< 0.1%
8304000.0 1
< 0.1%
8284800.0 1
< 0.1%
8275200.0 2
< 0.1%
8265600.0 2
< 0.1%
8256000.0 1
< 0.1%
8227200.0 1
< 0.1%
8208000.0 1
< 0.1%

11시
Real number (ℝ)

Distinct4071
Distinct (%)57.3%
Missing9
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean2044256.4
Minimum0
Maximum10531200
Zeros68
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size62.6 KiB
2023-12-13T00:36:26.522665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile169.194
Q1270000
median853200
Q31593600
95-th percentile8630880
Maximum10531200
Range10531200
Interquartile range (IQR)1323600

Descriptive statistics

Standard deviation2853307.9
Coefficient of variation (CV)1.3957681
Kurtosis0.79755938
Mean2044256.4
Median Absolute Deviation (MAD)590100
Skewness1.5323545
Sum1.451422 × 1010
Variance8.1413659 × 1012
MonotonicityNot monotonic
2023-12-13T00:36:26.709593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 68
 
1.0%
8534400.0 11
 
0.2%
988800.0 11
 
0.2%
1072800.0 10
 
0.1%
384000.0 10
 
0.1%
960000.0 10
 
0.1%
8332800.0 10
 
0.1%
892800.0 9
 
0.1%
1113600.0 9
 
0.1%
9043200.0 9
 
0.1%
Other values (4061) 6943
97.7%
ValueCountFrequency (%)
0.0 68
1.0%
2.88 1
 
< 0.1%
5.28 1
 
< 0.1%
18.0 1
 
< 0.1%
21.6 1
 
< 0.1%
26.52 1
 
< 0.1%
27.6 1
 
< 0.1%
37.68 1
 
< 0.1%
38.4 2
 
< 0.1%
40.44 1
 
< 0.1%
ValueCountFrequency (%)
10531200.0 1
 
< 0.1%
10416000.0 1
 
< 0.1%
10348800.0 3
< 0.1%
10281600.0 1
 
< 0.1%
10128000.0 1
 
< 0.1%
10118400.0 1
 
< 0.1%
10099200.0 1
 
< 0.1%
10060800.0 1
 
< 0.1%
10051200.0 1
 
< 0.1%
10032000.0 2
< 0.1%

12시
Real number (ℝ)

Distinct4167
Distinct (%)58.6%
Missing4
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean2383812.1
Minimum0
Maximum11836800
Zeros61
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size62.6 KiB
2023-12-13T00:36:26.906156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile219.96
Q1355920
median994800
Q32054400
95-th percentile9722880
Maximum11836800
Range11836800
Interquartile range (IQR)1698480

Descriptive statistics

Standard deviation3261557.2
Coefficient of variation (CV)1.3682107
Kurtosis0.60290908
Mean2383812.1
Median Absolute Deviation (MAD)667200
Skewness1.4812298
Sum1.6936985 × 1010
Variance1.0637756 × 1013
MonotonicityNot monotonic
2023-12-13T00:36:27.114652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 61
 
0.9%
1065600.0 11
 
0.2%
9686400.0 10
 
0.1%
9264000.0 10
 
0.1%
9571200.0 10
 
0.1%
10012800.0 9
 
0.1%
9408000.0 9
 
0.1%
9446400.0 9
 
0.1%
1123200.0 9
 
0.1%
8976000.0 9
 
0.1%
Other values (4157) 6958
97.9%
ValueCountFrequency (%)
0.0 61
0.9%
16.8 1
 
< 0.1%
17.88 1
 
< 0.1%
27.0 1
 
< 0.1%
27.6 1
 
< 0.1%
33.36 1
 
< 0.1%
33.72 1
 
< 0.1%
34.8 1
 
< 0.1%
35.88 1
 
< 0.1%
38.4 1
 
< 0.1%
ValueCountFrequency (%)
11836800.0 1
< 0.1%
11731200.0 1
< 0.1%
11606400.0 1
< 0.1%
11529600.0 1
< 0.1%
11520000.0 1
< 0.1%
11510400.0 1
< 0.1%
11462400.0 1
< 0.1%
11452800.0 1
< 0.1%
11424000.0 1
< 0.1%
11385600.0 1
< 0.1%

13시
Real number (ℝ)

Distinct4241
Distinct (%)59.7%
Missing4
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean2498806.6
Minimum0
Maximum12384000
Zeros54
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size62.6 KiB
2023-12-13T00:36:27.321546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile284.184
Q1378840
median1015200
Q32236800
95-th percentile10154880
Maximum12384000
Range12384000
Interquartile range (IQR)1857960

Descriptive statistics

Standard deviation3418063.7
Coefficient of variation (CV)1.3678784
Kurtosis0.57412617
Mean2498806.6
Median Absolute Deviation (MAD)676560
Skewness1.4721988
Sum1.7754021 × 1010
Variance1.1683159 × 1013
MonotonicityNot monotonic
2023-12-13T00:36:27.667449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 54
 
0.8%
9321600.0 11
 
0.2%
9955200.0 10
 
0.1%
1047600.0 9
 
0.1%
9916800.0 9
 
0.1%
9868800.0 8
 
0.1%
1062000.0 8
 
0.1%
1070400.0 8
 
0.1%
907200.0 8
 
0.1%
9676800.0 8
 
0.1%
Other values (4231) 6972
98.1%
ValueCountFrequency (%)
0.0 54
0.8%
4.8 1
 
< 0.1%
6.48 1
 
< 0.1%
11.76 1
 
< 0.1%
32.16 1
 
< 0.1%
34.2 1
 
< 0.1%
37.32 1
 
< 0.1%
38.28 1
 
< 0.1%
38.64 1
 
< 0.1%
39.24 1
 
< 0.1%
ValueCountFrequency (%)
12384000.0 1
< 0.1%
12345600.0 1
< 0.1%
12182400.0 1
< 0.1%
12153600.0 1
< 0.1%
12057600.0 1
< 0.1%
12028800.0 1
< 0.1%
12009600.0 1
< 0.1%
11961600.0 1
< 0.1%
11952000.0 1
< 0.1%
11913600.0 1
< 0.1%

14시
Real number (ℝ)

Distinct4215
Distinct (%)59.3%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2411666.5
Minimum0
Maximum12230400
Zeros57
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size62.6 KiB
2023-12-13T00:36:27.872163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile569.1
Q1351960
median948000
Q32131200
95-th percentile9945600
Maximum12230400
Range12230400
Interquartile range (IQR)1779240

Descriptive statistics

Standard deviation3342118.3
Coefficient of variation (CV)1.3858128
Kurtosis0.6332742
Mean2411666.5
Median Absolute Deviation (MAD)627660
Skewness1.4896721
Sum1.7137302 × 1010
Variance1.1169755 × 1013
MonotonicityNot monotonic
2023-12-13T00:36:28.082917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 57
 
0.8%
739200.0 11
 
0.2%
1036800.0 10
 
0.1%
1005600.0 10
 
0.1%
944400.0 9
 
0.1%
729600.0 9
 
0.1%
816000.0 9
 
0.1%
926400.0 9
 
0.1%
990000.0 9
 
0.1%
1050000.0 8
 
0.1%
Other values (4205) 6965
98.0%
ValueCountFrequency (%)
0.0 57
0.8%
1.2 1
 
< 0.1%
2.16 1
 
< 0.1%
6.96 1
 
< 0.1%
12.12 1
 
< 0.1%
14.4 1
 
< 0.1%
17.64 1
 
< 0.1%
20.4 1
 
< 0.1%
21.96 1
 
< 0.1%
40.08 2
 
< 0.1%
ValueCountFrequency (%)
12230400.0 1
< 0.1%
12201600.0 1
< 0.1%
12019200.0 1
< 0.1%
11856000.0 1
< 0.1%
11817600.0 1
< 0.1%
11798400.0 1
< 0.1%
11788800.0 1
< 0.1%
11769600.0 1
< 0.1%
11750400.0 1
< 0.1%
11721600.0 1
< 0.1%

15시
Real number (ℝ)

Distinct4124
Distinct (%)58.0%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2121427.5
Minimum0
Maximum11145600
Zeros56
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size62.6 KiB
2023-12-13T00:36:28.313977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile579.48
Q1306120
median788400
Q31886400
95-th percentile9030720
Maximum11145600
Range11145600
Interquartile range (IQR)1580280

Descriptive statistics

Standard deviation2994907.3
Coefficient of variation (CV)1.4117415
Kurtosis0.8249293
Mean2121427.5
Median Absolute Deviation (MAD)521160
Skewness1.5394603
Sum1.5076986 × 1010
Variance8.9694697 × 1012
MonotonicityNot monotonic
2023-12-13T00:36:28.520499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 56
 
0.8%
8918400.0 11
 
0.2%
729600.0 11
 
0.2%
704400.0 11
 
0.2%
631200.0 11
 
0.2%
931200.0 10
 
0.1%
720000.0 10
 
0.1%
745200.0 10
 
0.1%
658800.0 9
 
0.1%
748800.0 9
 
0.1%
Other values (4114) 6959
97.9%
ValueCountFrequency (%)
0.0 56
0.8%
1.2 1
 
< 0.1%
3.36 1
 
< 0.1%
6.0 1
 
< 0.1%
14.4 1
 
< 0.1%
15.6 1
 
< 0.1%
17.64 1
 
< 0.1%
19.2 1
 
< 0.1%
22.8 1
 
< 0.1%
28.8 1
 
< 0.1%
ValueCountFrequency (%)
11145600.0 1
< 0.1%
10944000.0 1
< 0.1%
10857600.0 1
< 0.1%
10800000.0 1
< 0.1%
10771200.0 2
< 0.1%
10761600.0 1
< 0.1%
10752000.0 1
< 0.1%
10742400.0 1
< 0.1%
10732800.0 2
< 0.1%
10723200.0 1
< 0.1%

16시
Real number (ℝ)

ZEROS 

Distinct3808
Distinct (%)53.6%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1644480.9
Minimum0
Maximum9244800
Zeros74
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size62.6 KiB
2023-12-13T00:36:28.743494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile374.76
Q1208800
median568800
Q31281600
95-th percentile7488000
Maximum9244800
Range9244800
Interquartile range (IQR)1072800

Descriptive statistics

Standard deviation2404789.8
Coefficient of variation (CV)1.4623398
Kurtosis1.2008923
Mean1644480.9
Median Absolute Deviation (MAD)397800
Skewness1.6318968
Sum1.1687326 × 1010
Variance5.783014 × 1012
MonotonicityNot monotonic
2023-12-13T00:36:29.020775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 74
 
1.0%
480000.0 13
 
0.2%
547200.0 10
 
0.1%
613200.0 10
 
0.1%
643200.0 10
 
0.1%
528000.0 10
 
0.1%
604800.0 10
 
0.1%
472800.0 10
 
0.1%
6038400.0 9
 
0.1%
565200.0 9
 
0.1%
Other values (3798) 6942
97.7%
ValueCountFrequency (%)
0.0 74
1.0%
4.8 1
 
< 0.1%
4.92 1
 
< 0.1%
7.44 1
 
< 0.1%
8.04 1
 
< 0.1%
9.6 2
 
< 0.1%
9.96 1
 
< 0.1%
10.8 1
 
< 0.1%
13.2 1
 
< 0.1%
18.48 1
 
< 0.1%
ValueCountFrequency (%)
9244800.0 1
 
< 0.1%
9014400.0 1
 
< 0.1%
8985600.0 3
< 0.1%
8937600.0 2
< 0.1%
8928000.0 1
 
< 0.1%
8889600.0 1
 
< 0.1%
8870400.0 1
 
< 0.1%
8822400.0 3
< 0.1%
8812800.0 1
 
< 0.1%
8793600.0 1
 
< 0.1%

17시
Real number (ℝ)

ZEROS 

Distinct3257
Distinct (%)45.8%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1008933.9
Minimum0
Maximum6518400
Zeros127
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size62.6 KiB
2023-12-13T00:36:29.244576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile122.088
Q173380
median303300
Q3679110
95-th percentile5270400
Maximum6518400
Range6518400
Interquartile range (IQR)605730

Descriptive statistics

Standard deviation1618427.2
Coefficient of variation (CV)1.6040964
Kurtosis2.2922588
Mean1008933.9
Median Absolute Deviation (MAD)265980
Skewness1.8981033
Sum7.1715023 × 109
Variance2.6193067 × 1012
MonotonicityNot monotonic
2023-12-13T00:36:29.475706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 127
 
1.8%
115200.0 17
 
0.2%
96000.0 16
 
0.2%
326400.0 13
 
0.2%
56400.0 13
 
0.2%
64800.0 13
 
0.2%
316800.0 13
 
0.2%
302400.0 13
 
0.2%
240000.0 13
 
0.2%
288000.0 13
 
0.2%
Other values (3247) 6857
96.5%
ValueCountFrequency (%)
0.0 127
1.8%
0.72 1
 
< 0.1%
1.2 1
 
< 0.1%
2.4 3
 
< 0.1%
2.88 1
 
< 0.1%
3.6 1
 
< 0.1%
4.44 1
 
< 0.1%
5.28 1
 
< 0.1%
6.0 1
 
< 0.1%
8.4 1
 
< 0.1%
ValueCountFrequency (%)
6518400.0 1
< 0.1%
6480000.0 1
< 0.1%
6441600.0 1
< 0.1%
6422400.0 1
< 0.1%
6412800.0 1
< 0.1%
6393600.0 1
< 0.1%
6307200.0 2
< 0.1%
6297600.0 1
< 0.1%
6259200.0 1
< 0.1%
6249600.0 1
< 0.1%

18시
Real number (ℝ)

ZEROS 

Distinct2195
Distinct (%)30.9%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean415295.5
Minimum0
Maximum4819200
Zeros761
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size62.6 KiB
2023-12-13T00:36:29.720600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11680
median84000
Q3259710
95-th percentile2630400
Maximum4819200
Range4819200
Interquartile range (IQR)258030

Descriptive statistics

Standard deviation806965.91
Coefficient of variation (CV)1.9431126
Kurtosis4.5183729
Mean415295.5
Median Absolute Deviation (MAD)83880
Skewness2.3647405
Sum2.9519204 × 109
Variance6.5119398 × 1011
MonotonicityNot monotonic
2023-12-13T00:36:29.934331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 761
 
10.7%
1200.0 72
 
1.0%
38400.0 62
 
0.9%
28800.0 55
 
0.8%
9600.0 49
 
0.7%
2400.0 49
 
0.7%
3600.0 49
 
0.7%
67200.0 47
 
0.7%
19200.0 44
 
0.6%
120.0 41
 
0.6%
Other values (2185) 5879
82.7%
ValueCountFrequency (%)
0.0 761
10.7%
1.2 10
 
0.1%
2.4 8
 
0.1%
3.6 7
 
0.1%
4.8 5
 
0.1%
6.0 5
 
0.1%
7.2 4
 
0.1%
8.4 6
 
0.1%
9.6 12
 
0.2%
10.8 3
 
< 0.1%
ValueCountFrequency (%)
4819200.0 1
< 0.1%
4704000.0 1
< 0.1%
4185600.0 1
< 0.1%
4137600.0 1
< 0.1%
3993600.0 1
< 0.1%
3763200.0 1
< 0.1%
3734400.0 1
< 0.1%
3628800.0 2
< 0.1%
3561600.0 1
< 0.1%
3552000.0 1
< 0.1%

19시
Real number (ℝ)

ZEROS 

Distinct1086
Distinct (%)15.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean97083.353
Minimum0
Maximum2073600
Zeros2957
Zeros (%)41.6%
Negative0
Negative (%)0.0%
Memory size62.6 KiB
2023-12-13T00:36:30.129833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median719.16
Q349380
95-th percentile748800
Maximum2073600
Range2073600
Interquartile range (IQR)49380

Descriptive statistics

Standard deviation242874.99
Coefficient of variation (CV)2.5017161
Kurtosis9.9985763
Mean97083.353
Median Absolute Deviation (MAD)719.16
Skewness3.1836
Sum6.8997139 × 108
Variance5.8988261 × 1010
MonotonicityNot monotonic
2023-12-13T00:36:30.351741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2957
41.6%
1200.0 79
 
1.1%
9600.0 77
 
1.1%
692.16 60
 
0.8%
3600.0 56
 
0.8%
28800.0 53
 
0.7%
2400.0 48
 
0.7%
691.2 48
 
0.7%
693.12 46
 
0.6%
19200.0 45
 
0.6%
Other values (1076) 3638
51.2%
ValueCountFrequency (%)
0.0 2957
41.6%
1.2 12
 
0.2%
2.4 5
 
0.1%
2.76 1
 
< 0.1%
3.6 11
 
0.2%
4.8 4
 
0.1%
6.0 5
 
0.1%
8.4 5
 
0.1%
9.6 13
 
0.2%
10.8 6
 
0.1%
ValueCountFrequency (%)
2073600.0 1
< 0.1%
1670400.0 1
< 0.1%
1632000.0 2
< 0.1%
1593600.0 1
< 0.1%
1584000.0 1
< 0.1%
1555200.0 1
< 0.1%
1488000.0 1
< 0.1%
1449600.0 1
< 0.1%
1440000.0 1
< 0.1%
1420800.0 2
< 0.1%

20시
Real number (ℝ)

ZEROS 

Distinct223
Distinct (%)3.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean7174.6929
Minimum0
Maximum422400
Zeros5391
Zeros (%)75.8%
Negative0
Negative (%)0.0%
Memory size62.6 KiB
2023-12-13T00:36:30.919662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile38400
Maximum422400
Range422400
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28861.597
Coefficient of variation (CV)4.0226944
Kurtosis44.936232
Mean7174.6929
Median Absolute Deviation (MAD)0
Skewness5.955678
Sum50990542
Variance8.3299179 × 108
MonotonicityNot monotonic
2023-12-13T00:36:31.098736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5391
75.8%
693.12 110
 
1.5%
9600.0 89
 
1.3%
692.16 87
 
1.2%
1200.0 84
 
1.2%
2400.0 56
 
0.8%
38400.0 50
 
0.7%
19200.0 44
 
0.6%
3600.0 41
 
0.6%
4800.0 41
 
0.6%
Other values (213) 1114
 
15.7%
ValueCountFrequency (%)
0.0 5391
75.8%
0.48 1
 
< 0.1%
0.84 1
 
< 0.1%
1.2 17
 
0.2%
2.4 12
 
0.2%
3.6 13
 
0.2%
4.8 8
 
0.1%
5.04 1
 
< 0.1%
6.0 5
 
0.1%
7.2 4
 
0.1%
ValueCountFrequency (%)
422400.0 1
 
< 0.1%
403200.0 1
 
< 0.1%
374400.0 2
< 0.1%
345600.0 1
 
< 0.1%
288000.0 1
 
< 0.1%
278400.0 1
 
< 0.1%
268800.0 2
< 0.1%
259200.0 1
 
< 0.1%
249600.0 1
 
< 0.1%
240000.0 4
0.1%

21시
Real number (ℝ)

ZEROS 

Distinct75
Distinct (%)1.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean22.11485
Minimum0
Maximum694.08
Zeros6843
Zeros (%)96.3%
Negative0
Negative (%)0.0%
Memory size62.6 KiB
2023-12-13T00:36:31.325534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum694.08
Range694.08
Interquartile range (IQR)0

Descriptive statistics

Standard deviation116.3525
Coefficient of variation (CV)5.2612837
Kurtosis25.848154
Mean22.11485
Median Absolute Deviation (MAD)0
Skewness5.2272641
Sum157170.24
Variance13537.904
MonotonicityNot monotonic
2023-12-13T00:36:31.574792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6843
96.3%
693.12 74
 
1.0%
692.16 50
 
0.7%
694.08 25
 
0.4%
536.64 7
 
0.1%
520.32 6
 
0.1%
691.2 6
 
0.1%
528.96 4
 
0.1%
528.0 3
 
< 0.1%
534.72 3
 
< 0.1%
Other values (65) 86
 
1.2%
ValueCountFrequency (%)
0.0 6843
96.3%
0.96 1
 
< 0.1%
10.56 1
 
< 0.1%
105.6 1
 
< 0.1%
144.96 1
 
< 0.1%
162.24 1
 
< 0.1%
169.92 1
 
< 0.1%
182.4 1
 
< 0.1%
187.2 1
 
< 0.1%
189.12 1
 
< 0.1%
ValueCountFrequency (%)
694.08 25
 
0.4%
693.12 74
1.0%
692.16 50
0.7%
691.2 6
 
0.1%
678.72 1
 
< 0.1%
672.0 1
 
< 0.1%
653.76 1
 
< 0.1%
648.96 1
 
< 0.1%
647.04 1
 
< 0.1%
645.12 2
 
< 0.1%

22시
Real number (ℝ)

ZEROS 

Distinct77
Distinct (%)1.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.0376361
Minimum0
Maximum692.16
Zeros6949
Zeros (%)97.7%
Negative0
Negative (%)0.0%
Memory size62.6 KiB
2023-12-13T00:36:31.833604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum692.16
Range692.16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation23.355197
Coefficient of variation (CV)7.688609
Kurtosis158.26344
Mean3.0376361
Median Absolute Deviation (MAD)0
Skewness10.311155
Sum21588.48
Variance545.46521
MonotonicityNot monotonic
2023-12-13T00:36:32.070074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 6949
97.7%
183.36 5
 
0.1%
204.48 5
 
0.1%
66.24 5
 
0.1%
200.64 4
 
0.1%
72.0 4
 
0.1%
63.36 4
 
0.1%
196.8 4
 
0.1%
194.88 4
 
0.1%
198.72 4
 
0.1%
Other values (67) 119
 
1.7%
ValueCountFrequency (%)
0.0 6949
97.7%
11.52 1
 
< 0.1%
17.28 1
 
< 0.1%
18.24 1
 
< 0.1%
22.08 1
 
< 0.1%
24.0 1
 
< 0.1%
26.88 1
 
< 0.1%
52.8 1
 
< 0.1%
53.76 1
 
< 0.1%
56.64 2
 
< 0.1%
ValueCountFrequency (%)
692.16 1
 
< 0.1%
235.2 1
 
< 0.1%
234.24 1
 
< 0.1%
224.64 1
 
< 0.1%
220.8 1
 
< 0.1%
218.88 2
 
< 0.1%
210.24 1
 
< 0.1%
207.36 1
 
< 0.1%
205.44 2
 
< 0.1%
204.48 5
0.1%

23시
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
0.0
7102 
<NA>
 
2
18.24
 
2
19.2
 
1
5.76
 
1

Length

Max length5
Median length3
Mean length3.0014067
Min length3

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 7102
99.9%
<NA> 2
 
< 0.1%
18.24 2
 
< 0.1%
19.2 1
 
< 0.1%
5.76 1
 
< 0.1%
32.64 1
 
< 0.1%

Length

2023-12-13T00:36:32.314687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:36:32.534760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 7102
99.9%
na 2
 
< 0.1%
18.24 2
 
< 0.1%
19.2 1
 
< 0.1%
5.76 1
 
< 0.1%
32.64 1
 
< 0.1%

24시
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
0.0
7106 
<NA>
 
2
19.2
 
1

Length

Max length4
Median length3
Mean length3.000422
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 7106
> 99.9%
<NA> 2
 
< 0.1%
19.2 1
 
< 0.1%

Length

2023-12-13T00:36:32.745603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:36:32.925018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 7106
> 99.9%
na 2
 
< 0.1%
19.2 1
 
< 0.1%

Sample

발전기명년월일설비용량(MW)01시02시03시04시05시06시07시08시09시10시11시12시13시14시15시16시17시18시19시20시21시22시23시24시
0세종시폐기물매립장태양광2017-01-011.6280.000000.00.0840.023880.0251640.0308640.0480000.0921000.0886920.0742080.0334440.087240.02880.04320.00.00.00.00.00.0
1안산연성정수장태양광2017-01-011.490.000000.00.00.022800.0116400.0295200.0358800.0579600.0453600.0304800.0230400.031200.00.00.00.00.00.00.00.0
2영암에프원태양광b2017-01-0113.2960.000000.00.00.0547200.03484800.03350400.07929600.08697600.08236800.07344000.05155200.02131200.0134400.00.00.00.00.00.00.0
3세종시폐기물매립장태양광2017-01-021.6280.000000.00.01440.04440.0221520.0469560.0800880.0761160.0955440.0606360.0501120.0158280.02760.03360.00.00.00.00.00.0
4안산연성정수장태양광2017-01-021.490.000000.00.00.08400.0160800.0181200.0273600.0580800.0478800.0265200.072000.030000.00.00.00.00.00.00.00.0
5영암에프원태양광b2017-01-0213.2960.000000.00.00.0345600.01948800.06211200.07334400.08332800.07286400.06355200.04512000.01584000.076800.00.00.00.00.00.00.0
6세종시폐기물매립장태양광2017-01-031.6280.000000.00.0840.066720.0438720.0818640.01017240.01067160.01038600.0881040.0557040.0128640.02280.03000.00.00.00.00.00.0
7안산연성정수장태양광2017-01-031.490.000000.00.00.034800.0193200.0321600.0800400.0883200.0696000.0660000.0463200.0147600.04800.00.00.00.00.00.00.0
8영암에프원태양광b2017-01-0313.2960.000000.00.00.0960000.03465600.06288000.08371200.09148800.08784000.07411200.05356800.02332800.0163200.00.00.00.00.00.00.0
9세종시폐기물매립장태양광2017-01-041.6280.000000.00.01200.040080.0321720.0463200.0806280.0914760.0835920.0677280.0502320.0112080.01800.02760.00.00.00.00.00.0
발전기명년월일설비용량(MW)01시02시03시04시05시06시07시08시09시10시11시12시13시14시15시16시17시18시19시20시21시22시23시24시
7099영암에프원태양광b2023-06-2713.2960.000000.019200.0499200.0672000.01056000.03571200.06144000.05040000.07324800.04752000.07113600.02572800.0777600.057600.00.00.00.00.00.0
7100세종시폐기물매립장태양광2023-06-281.6280.000000.049440.0241200.0349320.0549120.0575040.0743160.0484440.0471720.0295440.0181200.0153480.089760.00.00.00.00.00.00.0
7101안산연성정수장태양광2023-06-281.490.000001200.068400.0268800.0445200.0648000.0601200.0310800.0250800.0614400.0608400.0333600.0237600.078000.021600.00.00.00.00.00.0
7102영암에프원태양광b2023-06-2813.2960.000000.00.00.0124800.0585600.0854400.01190400.01286400.01344000.01228800.0873600.0892800.0633600.0355200.048000.00.00.00.00.0
7103세종시폐기물매립장태양광2023-06-291.6280.000000.022800.061440.0101640.061920.061200.040560.084360.074760.061080.0240.0240.01440.0600.00.00.00.00.00.0
7104안산연성정수장태양광2023-06-291.490.000000.03600.038400.037200.049200.019200.081600.0150000.0114000.063600.034800.046800.07200.00.00.00.00.00.00.0
7105영암에프원태양광b2023-06-2913.2960.000000.028800.0201600.0528000.0892800.01094400.0576000.01190400.01411200.0844800.0700800.0739200.01324800.0441600.09600.00.00.00.00.0
7106세종시폐기물매립장태양광2023-06-301.6280.000000.0120.017760.0160080.0203040.0270120.0373320.0717840.0270240.0659280.0410040.0264720.0214200.0127320.035280.00.00.00.00.0
7107안산연성정수장태양광2023-06-301.490.000000.03600.060000.0178800.0339600.0176400.0272400.0405600.0478800.0386400.0295200.0300000.0186000.078000.08400.00.00.00.00.0
7108영암에프원태양광b2023-06-3013.2960.000000.00.0230400.0883200.02428800.01612800.01430400.02332800.02592000.02016000.01747200.0748800.01123200.0432000.038400.00.00.00.00.0