Overview

Dataset statistics

Number of variables3
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory332.0 KiB
Average record size in memory34.0 B

Variable types

Numeric2
DateTime1

Dataset

Description천연가스 발전용 수요의 일별 유효일수 자료입니다. 공휴일 등 특정일 효과를 포함한 유효일수 데이터이며, 총발전량 예측 등에 활용이 가능합니다.
Author한국가스공사
URLhttps://www.data.go.kr/data/15088312/fileData.do

Alerts

순번 has unique valuesUnique
연월일 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:44:41.151753
Analysis finished2023-12-12 10:44:42.217541
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8475.486
Minimum1
Maximum16799
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T19:44:42.336049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile878.95
Q14276.5
median8494
Q312698.75
95-th percentile15967.25
Maximum16799
Range16798
Interquartile range (IQR)8422.25

Descriptive statistics

Standard deviation4846.8819
Coefficient of variation (CV)0.57187067
Kurtosis-1.2040888
Mean8475.486
Median Absolute Deviation (MAD)4212.5
Skewness-0.010122594
Sum84754860
Variance23492264
MonotonicityNot monotonic
2023-12-12T19:44:43.112503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7382 1
 
< 0.1%
2084 1
 
< 0.1%
13569 1
 
< 0.1%
12777 1
 
< 0.1%
7085 1
 
< 0.1%
9851 1
 
< 0.1%
12603 1
 
< 0.1%
15462 1
 
< 0.1%
10334 1
 
< 0.1%
11254 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
15 1
< 0.1%
18 1
< 0.1%
19 1
< 0.1%
ValueCountFrequency (%)
16799 1
< 0.1%
16798 1
< 0.1%
16795 1
< 0.1%
16793 1
< 0.1%
16792 1
< 0.1%
16786 1
< 0.1%
16784 1
< 0.1%
16783 1
< 0.1%
16782 1
< 0.1%
16779 1
< 0.1%

연월일
Date

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1985-01-01 00:00:00
Maximum2030-12-29 00:00:00
2023-12-12T19:44:43.358457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:44:43.551370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

유효일수
Real number (ℝ)

Distinct2429
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.95669403
Minimum0.5366
Maximum1.00024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T19:44:43.775542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.5366
5-th percentile0.806649
Q10.94934
median1.00024
Q31.00024
95-th percentile1.00024
Maximum1.00024
Range0.46364
Interquartile range (IQR)0.0509

Descriptive statistics

Standard deviation0.070661573
Coefficient of variation (CV)0.073860159
Kurtosis4.8551129
Mean0.95669403
Median Absolute Deviation (MAD)0
Skewness-2.1198384
Sum9566.9403
Variance0.004993058
MonotonicityNot monotonic
2023-12-12T19:44:43.988315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.00024 5268
52.7%
0.96609 1250
 
12.5%
0.96046 139
 
1.4%
0.94117 50
 
0.5%
0.91905 36
 
0.4%
0.73888 34
 
0.3%
0.66133 31
 
0.3%
0.78329 27
 
0.3%
0.63749 27
 
0.3%
0.91431 21
 
0.2%
Other values (2419) 3117
31.2%
ValueCountFrequency (%)
0.5366 1
 
< 0.1%
0.54482 1
 
< 0.1%
0.56174 1
 
< 0.1%
0.5674 1
 
< 0.1%
0.57303 1
 
< 0.1%
0.57315 1
 
< 0.1%
0.58147 1
 
< 0.1%
0.60223 1
 
< 0.1%
0.60333 9
0.1%
0.60523 1
 
< 0.1%
ValueCountFrequency (%)
1.00024 5268
52.7%
0.99827 5
 
0.1%
0.99826 6
 
0.1%
0.99825 2
 
< 0.1%
0.99824 3
 
< 0.1%
0.99823 1
 
< 0.1%
0.99822 3
 
< 0.1%
0.99821 3
 
< 0.1%
0.9982 1
 
< 0.1%
0.99819 2
 
< 0.1%

Interactions

2023-12-12T19:44:41.718060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:44:41.396296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:44:41.873179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:44:41.555144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:44:44.097191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번유효일수
순번1.0000.463
유효일수0.4631.000
2023-12-12T19:44:44.199939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번유효일수
순번1.000-0.040
유효일수-0.0401.000

Missing values

2023-12-12T19:44:42.047221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:44:42.155106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

순번연월일유효일수
738173822005-03-181.00024
902590262009-09-171.00024
15595155962027-09-130.96609
6876881986-11-191.00024
11943119442017-09-131.00024
13926139272023-02-171.00024
684968502003-10-030.93016
902290232009-09-140.96609
11446114472016-05-041.00024
16651166522030-08-040.81079
순번연월일유효일수
9629631987-08-211.00024
711271132004-06-221.00024
906290632009-10-240.94904
297129721993-02-191.00024
14997149982026-01-231.00024
165916601989-07-181.00024
598759882001-05-241.00024
115511561988-03-010.9122
384638471995-07-141.00024
15448154492027-04-190.96609