"��������� ������ ������.csv"의 파일명이 "태양광 발전 현황.csv"으로 변경 됨.

Overview

Dataset statistics

Number of variables27
Number of observations6109
Missing cells31
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 MiB
Average record size in memory241.0 B

Variable types

Categorical10
Numeric17

Dataset

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

Alerts

년월일 has a high cardinality: 2038 distinct values High cardinality
06시 has 5585 (91.4%) zeros Zeros
07시 has 3275 (53.6%) zeros Zeros
08시 has 1228 (20.1%) zeros Zeros
09시 has 139 (2.3%) zeros Zeros
17시 has 74 (1.2%) zeros Zeros
18시 has 580 (9.5%) zeros Zeros
19시 has 2414 (39.5%) zeros Zeros
20시 has 4533 (74.2%) zeros Zeros
21시 has 5844 (95.7%) zeros Zeros
22시 has 5950 (97.4%) zeros Zeros

Reproduction

Analysis started2022-10-03 08:25:34.948015
Analysis finished2022-10-03 08:25:36.186273
Duration1.24 second
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

발전기명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.9 KiB
안산연성정수장태양광
2038 
영암에프원태양광b
2038 
세종시폐기물매립장태양광
2033 

Length

Max length12
Median length10
Mean length10.33196923
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안산연성정수장태양광2038
33.4%
영암에프원태양광b2038
33.4%
세종시폐기물매립장태양광2033
33.3%

Length

2022-10-03T17:25:36.332641image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-10-03T17:25:36.584162image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
안산연성정수장태양광2038
33.4%
영암에프원태양광b2038
33.4%
세종시폐기물매립장태양광2033
33.3%

년월일
Categorical

HIGH CARDINALITY

Distinct2038
Distinct (%)33.4%
Missing0
Missing (%)0.0%
Memory size47.9 KiB
2017-01-01
 
3
2017-01-18
 
3
2017-01-05
 
3
2017-01-06
 
3
2017-01-07
 
3
Other values (2033)
6094 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017-01-01
2nd row2017-01-02
3rd row2017-01-03
4th row2017-01-04
5th row2017-01-05

Common Values

ValueCountFrequency (%)
2017-01-013
 
< 0.1%
2017-01-183
 
< 0.1%
2017-01-053
 
< 0.1%
2017-01-063
 
< 0.1%
2017-01-073
 
< 0.1%
2017-01-083
 
< 0.1%
2017-01-093
 
< 0.1%
2017-01-103
 
< 0.1%
2017-01-113
 
< 0.1%
2017-01-123
 
< 0.1%
Other values (2028)6079
99.5%

Length

2022-10-03T17:25:36.745951image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2017-01-013
 
< 0.1%
2020-09-163
 
< 0.1%
2020-09-293
 
< 0.1%
2020-09-283
 
< 0.1%
2020-09-273
 
< 0.1%
2020-09-263
 
< 0.1%
2020-09-253
 
< 0.1%
2020-09-243
 
< 0.1%
2020-09-233
 
< 0.1%
2020-09-223
 
< 0.1%
Other values (2028)6079
99.5%

설비용량(MW)
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.9 KiB
1.49
2038 
13.296
2038 
1.628
2033 

Length

Max length6
Median length5
Mean length5
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1.492038
33.4%
13.2962038
33.4%
1.6282033
33.3%

Length

2022-10-03T17:25:36.907399image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-10-03T17:25:37.029493image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
1.492038
33.4%
13.2962038
33.4%
1.6282033
33.3%

01시
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size47.9 KiB
0.0
6106 
<NA>
 
1
18.24
 
1
17.28
 
1

Length

Max length5
Median length3
Mean length3.000818465
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 (%)
0.06106
> 99.9%
<NA>1
 
< 0.1%
18.241
 
< 0.1%
17.281
 
< 0.1%

Length

2022-10-03T17:25:37.128670image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-10-03T17:25:37.236161image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.06106
> 99.9%
na1
 
< 0.1%
18.241
 
< 0.1%
17.281
 
< 0.1%

02시
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.9 KiB
0
6108 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.000491079
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
06108
> 99.9%
<NA>1
 
< 0.1%

Length

2022-10-03T17:25:37.332528image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-10-03T17:25:37.431370image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
06108
> 99.9%
na1
 
< 0.1%

03시
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.9 KiB
0
6107 
<NA>
 
2

Length

Max length4
Median length1
Mean length1.000982157
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
06107
> 99.9%
<NA>2
 
< 0.1%

Length

2022-10-03T17:25:37.513242image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-10-03T17:25:37.832701image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
06107
> 99.9%
na2
 
< 0.1%

04시
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.9 KiB
0
6108 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.000491079
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
06108
> 99.9%
<NA>1
 
< 0.1%

Length

2022-10-03T17:25:37.937835image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-10-03T17:25:38.066669image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
06108
> 99.9%
na1
 
< 0.1%

05시
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.9 KiB
0
6108 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.000491079
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
06108
> 99.9%
<NA>1
 
< 0.1%

Length

2022-10-03T17:25:38.165118image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-10-03T17:25:38.260709image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
06108
> 99.9%
na1
 
< 0.1%

06시
Real number (ℝ≥0)

ZEROS

Distinct65
Distinct (%)1.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean960.4896267
Minimum0
Maximum172800
Zeros5585
Zeros (%)91.4%
Negative0
Negative (%)0.0%
Memory size53.8 KiB
2022-10-03T17:25:38.358400image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation6335.552043
Coefficient of variation (CV)6.596169148
Kurtosis179.9379696
Mean960.4896267
Median Absolute Deviation (MAD)0
Skewness11.14549376
Sum5866670.64
Variance40139219.69
MonotonicityNot monotonic
2022-10-03T17:25:38.494677image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05585
91.4%
960059
 
1.0%
12051
 
0.8%
120048
 
0.8%
1920033
 
0.5%
24029
 
0.5%
240029
 
0.5%
2880029
 
0.5%
3840026
 
0.4%
360018
 
0.3%
Other values (55)201
 
3.3%
ValueCountFrequency (%)
05585
91.4%
1.213
 
0.2%
2.45
 
0.1%
2.641
 
< 0.1%
3.66
 
0.1%
4.82
 
< 0.1%
64
 
0.1%
7.22
 
< 0.1%
8.42
 
< 0.1%
9.67
 
0.1%
ValueCountFrequency (%)
1728001
 
< 0.1%
1344001
 
< 0.1%
1056001
 
< 0.1%
864001
 
< 0.1%
768003
 
< 0.1%
672008
 
0.1%
576004
 
0.1%
4800014
0.2%
3840026
0.4%
2880029
0.5%

07시
Real number (ℝ≥0)

ZEROS

Distinct881
Distinct (%)14.4%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean51819.2035
Minimum0
Maximum1132800
Zeros3275
Zeros (%)53.6%
Negative0
Negative (%)0.0%
Memory size53.8 KiB
2022-10-03T17:25:38.653985image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q327600
95-th percentile345600
Maximum1132800
Range1132800
Interquartile range (IQR)27600

Descriptive statistics

Standard deviation141877.5489
Coefficient of variation (CV)2.737933804
Kurtosis16.83260873
Mean51819.2035
Median Absolute Deviation (MAD)0
Skewness3.94389982
Sum316511695
Variance2.012923889 × 1010
MonotonicityNot monotonic
2022-10-03T17:25:38.794464image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03275
53.6%
960068
 
1.1%
12059
 
1.0%
120056
 
0.9%
2880048
 
0.8%
1920042
 
0.7%
3840042
 
0.7%
360035
 
0.6%
240035
 
0.6%
4800033
 
0.5%
Other values (871)2415
39.5%
ValueCountFrequency (%)
03275
53.6%
0.481
 
< 0.1%
0.721
 
< 0.1%
0.841
 
< 0.1%
1.25
 
0.1%
1.682
 
< 0.1%
2.161
 
< 0.1%
2.44
 
0.1%
2.522
 
< 0.1%
2.881
 
< 0.1%
ValueCountFrequency (%)
11328001
< 0.1%
11136001
< 0.1%
10944002
< 0.1%
10848002
< 0.1%
10656001
< 0.1%
10464001
< 0.1%
10368001
< 0.1%
9984001
< 0.1%
9888001
< 0.1%
9792002
< 0.1%

08시
Real number (ℝ≥0)

ZEROS

Distinct1984
Distinct (%)32.5%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean299518.505
Minimum0
Maximum3187200
Zeros1228
Zeros (%)20.1%
Negative0
Negative (%)0.0%
Memory size53.8 KiB
2022-10-03T17:25:38.923524image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q186.25
median44100
Q3272580
95-th percentile1820640
Maximum3187200
Range3187200
Interquartile range (IQR)272493.75

Descriptive statistics

Standard deviation577271.9762
Coefficient of variation (CV)1.927333258
Kurtosis6.079028633
Mean299518.505
Median Absolute Deviation (MAD)44100
Skewness2.573978723
Sum1829459029
Variance3.332429345 × 1011
MonotonicityNot monotonic
2022-10-03T17:25:39.049301image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01228
 
20.1%
120065
 
1.1%
960065
 
1.1%
1920062
 
1.0%
12040
 
0.7%
240035
 
0.6%
2880032
 
0.5%
3840031
 
0.5%
840027
 
0.4%
360026
 
0.4%
Other values (1974)4497
73.6%
ValueCountFrequency (%)
01228
20.1%
0.721
 
< 0.1%
0.841
 
< 0.1%
0.961
 
< 0.1%
1.215
 
0.2%
1.441
 
< 0.1%
1.921
 
< 0.1%
2.413
 
0.2%
2.761
 
< 0.1%
2.881
 
< 0.1%
ValueCountFrequency (%)
31872001
< 0.1%
31008001
< 0.1%
30720001
< 0.1%
30528001
< 0.1%
30144001
< 0.1%
29952002
< 0.1%
29856001
< 0.1%
29280001
< 0.1%
29184001
< 0.1%
29088002
< 0.1%

09시
Real number (ℝ≥0)

ZEROS

Distinct3062
Distinct (%)50.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean834617.2858
Minimum0
Maximum6153600
Zeros139
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size53.8 KiB
2022-10-03T17:25:39.206446image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile68.322
Q130000
median262200
Q3692400
95-th percentile4358400
Maximum6153600
Range6153600
Interquartile range (IQR)662400

Descriptive statistics

Standard deviation1350383.995
Coefficient of variation (CV)1.617967921
Kurtosis3.071768041
Mean834617.2858
Median Absolute Deviation (MAD)261470.4
Skewness2.044360411
Sum5097842382
Variance1.823536933 × 1012
MonotonicityNot monotonic
2022-10-03T17:25:39.536685image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0139
 
2.3%
10560018
 
0.3%
4800016
 
0.3%
2880016
 
0.3%
4680016
 
0.3%
5760016
 
0.3%
1560015
 
0.2%
5520015
 
0.2%
1920014
 
0.2%
2520014
 
0.2%
Other values (3052)5829
95.4%
ValueCountFrequency (%)
0139
2.3%
0.362
 
< 0.1%
0.61
 
< 0.1%
0.841
 
< 0.1%
1.25
 
0.1%
2.41
 
< 0.1%
2.761
 
< 0.1%
4.321
 
< 0.1%
4.83
 
< 0.1%
63
 
< 0.1%
ValueCountFrequency (%)
61536001
< 0.1%
59328001
< 0.1%
59136001
< 0.1%
58752001
< 0.1%
58464001
< 0.1%
58272001
< 0.1%
58080001
< 0.1%
57888001
< 0.1%
57696001
< 0.1%
57600001
< 0.1%

10시
Real number (ℝ≥0)

Distinct3566
Distinct (%)58.4%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1484764.352
Minimum0
Maximum8505600
Zeros47
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size53.8 KiB
2022-10-03T17:25:39.757748image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile292.11
Q1141600
median582420
Q31024500
95-th percentile6873600
Maximum8505600
Range8505600
Interquartile range (IQR)882900

Descriptive statistics

Standard deviation2187491.265
Coefficient of variation (CV)1.473291881
Kurtosis1.493054956
Mean1484764.352
Median Absolute Deviation (MAD)440820
Skewness1.702731261
Sum9065971132
Variance4.785118033 × 1012
MonotonicityNot monotonic
2022-10-03T17:25:39.947283image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
047
 
0.8%
16320012
 
0.2%
652800011
 
0.2%
22440011
 
0.2%
20400010
 
0.2%
23040010
 
0.2%
21120010
 
0.2%
18240010
 
0.2%
719040010
 
0.2%
2724009
 
0.1%
Other values (3556)5966
97.7%
ValueCountFrequency (%)
047
0.8%
0.361
 
< 0.1%
1.22
 
< 0.1%
2.41
 
< 0.1%
2.641
 
< 0.1%
5.521
 
< 0.1%
8.41
 
< 0.1%
13.21
 
< 0.1%
15.61
 
< 0.1%
181
 
< 0.1%
ValueCountFrequency (%)
85056001
< 0.1%
84096001
< 0.1%
83232001
< 0.1%
83040001
< 0.1%
82848001
< 0.1%
82752002
< 0.1%
82656002
< 0.1%
82560001
< 0.1%
82272001
< 0.1%
82080001
< 0.1%

11시
Real number (ℝ≥0)

Distinct3773
Distinct (%)61.8%
Missing6
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean2020203.284
Minimum0
Maximum10531200
Zeros27
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size53.8 KiB
2022-10-03T17:25:40.170092image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile162.12
Q1236520
median852000
Q31435200
95-th percentile8658240
Maximum10531200
Range10531200
Interquartile range (IQR)1198680

Descriptive statistics

Standard deviation2853948.623
Coefficient of variation (CV)1.412703685
Kurtosis0.8787734193
Mean2020203.284
Median Absolute Deviation (MAD)613200
Skewness1.555896803
Sum1.232930064 × 1010
Variance8.145022745 × 1012
MonotonicityNot monotonic
2022-10-03T17:25:40.377586image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
027
 
0.4%
11136009
 
0.1%
3840009
 
0.1%
10728009
 
0.1%
83328008
 
0.1%
9852008
 
0.1%
9600008
 
0.1%
10560008
 
0.1%
10080008
 
0.1%
9888008
 
0.1%
Other values (3763)6001
98.2%
ValueCountFrequency (%)
027
0.4%
2.881
 
< 0.1%
5.281
 
< 0.1%
181
 
< 0.1%
21.61
 
< 0.1%
26.521
 
< 0.1%
27.61
 
< 0.1%
37.681
 
< 0.1%
38.42
 
< 0.1%
40.441
 
< 0.1%
ValueCountFrequency (%)
105312001
 
< 0.1%
104160001
 
< 0.1%
103488003
< 0.1%
102816001
 
< 0.1%
101280001
 
< 0.1%
101184001
 
< 0.1%
100992001
 
< 0.1%
100608001
 
< 0.1%
100512001
 
< 0.1%
100320002
< 0.1%

12시
Real number (ℝ≥0)

Distinct3827
Distinct (%)62.7%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2351868.798
Minimum0
Maximum11836800
Zeros19
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size53.8 KiB
2022-10-03T17:25:40.576585image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile204.66
Q1311100
median998220
Q31747200
95-th percentile9715200
Maximum11836800
Range11836800
Interquartile range (IQR)1436100

Descriptive statistics

Standard deviation3257518.973
Coefficient of variation (CV)1.385076827
Kurtosis0.6743105448
Mean2351868.798
Median Absolute Deviation (MAD)695460
Skewness1.502612925
Sum1.436051088 × 1010
Variance1.061142986 × 1013
MonotonicityNot monotonic
2022-10-03T17:25:40.807279image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019
 
0.3%
106560011
 
0.2%
968640010
 
0.2%
957120010
 
0.2%
926400010
 
0.2%
94080009
 
0.1%
94464009
 
0.1%
11232009
 
0.1%
10680009
 
0.1%
97920008
 
0.1%
Other values (3817)6002
98.2%
ValueCountFrequency (%)
019
0.3%
16.81
 
< 0.1%
17.881
 
< 0.1%
271
 
< 0.1%
27.61
 
< 0.1%
33.361
 
< 0.1%
33.721
 
< 0.1%
34.81
 
< 0.1%
35.881
 
< 0.1%
38.41
 
< 0.1%
ValueCountFrequency (%)
118368001
< 0.1%
117312001
< 0.1%
116064001
< 0.1%
115296001
< 0.1%
115200001
< 0.1%
115104001
< 0.1%
114624001
< 0.1%
114528001
< 0.1%
114240001
< 0.1%
113856001
< 0.1%

13시
Real number (ℝ≥0)

Distinct3902
Distinct (%)63.9%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2466610.321
Minimum0
Maximum12384000
Zeros12
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size53.8 KiB
2022-10-03T17:25:41.039621image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile276.072
Q1327300
median1020000
Q32044800
95-th percentile10144320
Maximum12384000
Range12384000
Interquartile range (IQR)1717500

Descriptive statistics

Standard deviation3413255.889
Coefficient of variation (CV)1.383783997
Kurtosis0.6413616162
Mean2466610.321
Median Absolute Deviation (MAD)712800
Skewness1.491902227
Sum1.506358923 × 1010
Variance1.165031577 × 1013
MonotonicityNot monotonic
2022-10-03T17:25:41.260402image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012
 
0.2%
995520010
 
0.2%
93216009
 
0.1%
98688008
 
0.1%
10752008
 
0.1%
10476008
 
0.1%
10728008
 
0.1%
10260007
 
0.1%
97440007
 
0.1%
10200007
 
0.1%
Other values (3892)6023
98.6%
ValueCountFrequency (%)
012
0.2%
4.81
 
< 0.1%
6.481
 
< 0.1%
11.761
 
< 0.1%
32.161
 
< 0.1%
34.21
 
< 0.1%
37.321
 
< 0.1%
38.281
 
< 0.1%
38.641
 
< 0.1%
39.241
 
< 0.1%
ValueCountFrequency (%)
123840001
< 0.1%
123456001
< 0.1%
121824001
< 0.1%
121536001
< 0.1%
120576001
< 0.1%
120288001
< 0.1%
120096001
< 0.1%
119616001
< 0.1%
119520001
< 0.1%
119136001
< 0.1%

14시
Real number (ℝ≥0)

Distinct3864
Distinct (%)63.3%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2380137.893
Minimum0
Maximum12230400
Zeros13
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size53.8 KiB
2022-10-03T17:25:41.463259image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile544.5
Q1306480
median949200
Q31958400
95-th percentile9955200
Maximum12230400
Range12230400
Interquartile range (IQR)1651920

Descriptive statistics

Standard deviation3339325.211
Coefficient of variation (CV)1.402996533
Kurtosis0.7035513944
Mean2380137.893
Median Absolute Deviation (MAD)667440
Skewness1.510696144
Sum1.453312198 × 1010
Variance1.115109287 × 1013
MonotonicityNot monotonic
2022-10-03T17:25:41.651717image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
0.2%
100560010
 
0.2%
10368009
 
0.1%
8520008
 
0.1%
9492008
 
0.1%
9216008
 
0.1%
9888008
 
0.1%
96000008
 
0.1%
7872008
 
0.1%
9588008
 
0.1%
Other values (3854)6018
98.5%
ValueCountFrequency (%)
013
0.2%
1.21
 
< 0.1%
2.161
 
< 0.1%
6.961
 
< 0.1%
12.121
 
< 0.1%
14.41
 
< 0.1%
17.641
 
< 0.1%
20.41
 
< 0.1%
21.961
 
< 0.1%
40.082
 
< 0.1%
ValueCountFrequency (%)
122304001
< 0.1%
122016001
< 0.1%
120192001
< 0.1%
118560001
< 0.1%
118176001
< 0.1%
117984001
< 0.1%
117888001
< 0.1%
117696001
< 0.1%
117504001
< 0.1%
117216001
< 0.1%

15시
Real number (ℝ≥0)

Distinct3810
Distinct (%)62.4%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2090609.114
Minimum0
Maximum11145600
Zeros13
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size53.8 KiB
2022-10-03T17:25:42.085157image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile567.852
Q1262800
median789360
Q31636800
95-th percentile9024000
Maximum11145600
Range11145600
Interquartile range (IQR)1374000

Descriptive statistics

Standard deviation2985717.392
Coefficient of variation (CV)1.42815669
Kurtosis0.9172209114
Mean2090609.114
Median Absolute Deviation (MAD)546240
Skewness1.564894583
Sum1.276734986 × 1010
Variance8.914508343 × 1012
MonotonicityNot monotonic
2022-10-03T17:25:42.306915image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
013
 
0.2%
9312009
 
0.1%
8100009
 
0.1%
6312009
 
0.1%
6588008
 
0.1%
8640008
 
0.1%
89184008
 
0.1%
88512008
 
0.1%
6048008
 
0.1%
10140008
 
0.1%
Other values (3800)6019
98.5%
ValueCountFrequency (%)
013
0.2%
1.21
 
< 0.1%
3.361
 
< 0.1%
61
 
< 0.1%
14.41
 
< 0.1%
15.61
 
< 0.1%
17.641
 
< 0.1%
19.21
 
< 0.1%
22.81
 
< 0.1%
28.81
 
< 0.1%
ValueCountFrequency (%)
111456001
< 0.1%
109440001
< 0.1%
108576001
< 0.1%
108000001
< 0.1%
107712002
< 0.1%
107616001
< 0.1%
107520001
< 0.1%
107424001
< 0.1%
107328002
< 0.1%
107232001
< 0.1%

16시
Real number (ℝ≥0)

Distinct3516
Distinct (%)57.6%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1620640.124
Minimum0
Maximum9244800
Zeros30
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size53.8 KiB
2022-10-03T17:25:42.527452image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile371.016
Q1176460
median571200
Q31171200
95-th percentile7494720
Maximum9244800
Range9244800
Interquartile range (IQR)994740

Descriptive statistics

Standard deviation2393141.356
Coefficient of variation (CV)1.476664264
Kurtosis1.301568655
Mean1620640.124
Median Absolute Deviation (MAD)416880
Skewness1.657355304
Sum9897249237
Variance5.727125549 × 1012
MonotonicityNot monotonic
2022-10-03T17:25:42.680475image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
030
 
0.5%
48000011
 
0.2%
60384009
 
0.1%
6132009
 
0.1%
6336009
 
0.1%
5556009
 
0.1%
7236009
 
0.1%
4728009
 
0.1%
6852009
 
0.1%
7584008
 
0.1%
Other values (3506)5995
98.1%
ValueCountFrequency (%)
030
0.5%
4.81
 
< 0.1%
4.921
 
< 0.1%
7.441
 
< 0.1%
8.041
 
< 0.1%
9.62
 
< 0.1%
9.961
 
< 0.1%
10.81
 
< 0.1%
13.21
 
< 0.1%
18.481
 
< 0.1%
ValueCountFrequency (%)
92448001
< 0.1%
90144001
< 0.1%
89856002
< 0.1%
89376002
< 0.1%
89280001
< 0.1%
88896001
< 0.1%
88704001
< 0.1%
88224002
< 0.1%
88128001
< 0.1%
87936001
< 0.1%

17시
Real number (ℝ≥0)

ZEROS

Distinct3036
Distinct (%)49.7%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean998848.3199
Minimum0
Maximum6480000
Zeros74
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size53.8 KiB
2022-10-03T17:25:42.862109image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile125.304
Q165460
median304800
Q3665280
95-th percentile5270400
Maximum6480000
Range6480000
Interquartile range (IQR)599820

Descriptive statistics

Standard deviation1616227.279
Coefficient of variation (CV)1.618090802
Kurtosis2.367556631
Mean998848.3199
Median Absolute Deviation (MAD)273240
Skewness1.917901947
Sum6100965538
Variance2.612190618 × 1012
MonotonicityNot monotonic
2022-10-03T17:25:42.998522image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
074
 
1.2%
11520014
 
0.2%
31680013
 
0.2%
9600013
 
0.2%
32640012
 
0.2%
30240012
 
0.2%
29760011
 
0.2%
11880011
 
0.2%
39360011
 
0.2%
4800011
 
0.2%
Other values (3026)5926
97.0%
ValueCountFrequency (%)
074
1.2%
0.721
 
< 0.1%
1.21
 
< 0.1%
2.43
 
< 0.1%
2.881
 
< 0.1%
3.61
 
< 0.1%
4.441
 
< 0.1%
5.281
 
< 0.1%
61
 
< 0.1%
8.41
 
< 0.1%
ValueCountFrequency (%)
64800001
< 0.1%
64416001
< 0.1%
64224001
< 0.1%
64128001
< 0.1%
63936001
< 0.1%
63072002
< 0.1%
62976001
< 0.1%
62592001
< 0.1%
62496001
< 0.1%
62400001
< 0.1%

18시
Real number (ℝ≥0)

ZEROS

Distinct2066
Distinct (%)33.8%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean416512.0384
Minimum0
Maximum4819200
Zeros580
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size53.8 KiB
2022-10-03T17:25:43.126543image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11276.8
median85200
Q3259680
95-th percentile2649600
Maximum4819200
Range4819200
Interquartile range (IQR)258403.2

Descriptive statistics

Standard deviation810113.1747
Coefficient of variation (CV)1.944993422
Kurtosis4.484979431
Mean416512.0384
Median Absolute Deviation (MAD)85070.4
Skewness2.358899102
Sum2544055530
Variance6.562833558 × 1011
MonotonicityNot monotonic
2022-10-03T17:25:43.248099image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/