Overview

Dataset statistics

Number of variables3
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory912.0 B
Average record size in memory30.4 B

Variable types

Numeric2
Categorical1

Dataset

Description2012년 ~ 2021년까지의 연료원별 이용률을 나타냅니다. 단위 : 퍼센트(%) ※수정정산으로 인해 값이 변경될 수 있습니다.
Author한국전력거래소
URLhttps://www.data.go.kr/data/15104302/fileData.do

Alerts

이용률 is highly overall correlated with 연료원High correlation
연료원 is highly overall correlated with 이용률High correlation
이용률 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:44:30.317206
Analysis finished2023-12-12 11:44:31.416175
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2016.5
Minimum2012
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T20:44:31.543383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2012
5-th percentile2012
Q12014
median2016.5
Q32019
95-th percentile2021
Maximum2021
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.9213837
Coefficient of variation (CV)0.0014487398
Kurtosis-1.2256534
Mean2016.5
Median Absolute Deviation (MAD)2.5
Skewness0
Sum60495
Variance8.5344828
MonotonicityIncreasing
2023-12-12T20:44:31.773963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2012 3
10.0%
2013 3
10.0%
2014 3
10.0%
2015 3
10.0%
2016 3
10.0%
2017 3
10.0%
2018 3
10.0%
2019 3
10.0%
2020 3
10.0%
2021 3
10.0%
ValueCountFrequency (%)
2012 3
10.0%
2013 3
10.0%
2014 3
10.0%
2015 3
10.0%
2016 3
10.0%
2017 3
10.0%
2018 3
10.0%
2019 3
10.0%
2020 3
10.0%
2021 3
10.0%
ValueCountFrequency (%)
2021 3
10.0%
2020 3
10.0%
2019 3
10.0%
2018 3
10.0%
2017 3
10.0%
2016 3
10.0%
2015 3
10.0%
2014 3
10.0%
2013 3
10.0%
2012 3
10.0%

연료원
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
원자력
10 
석탄
10 
LNG
10 

Length

Max length3
Median length3
Mean length2.6666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row원자력
2nd row석탄
3rd rowLNG
4th row원자력
5th row석탄

Common Values

ValueCountFrequency (%)
원자력 10
33.3%
석탄 10
33.3%
LNG 10
33.3%

Length

2023-12-12T20:44:32.044241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:44:32.252657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원자력 10
33.3%
석탄 10
33.3%
lng 10
33.3%

이용률
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.025219
Minimum37.711649
Maximum87.021449
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T20:44:32.458594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.711649
5-th percentile38.51773
Q148.159232
median68.919101
Q375.675598
95-th percentile84.613013
Maximum87.021449
Range49.309799
Interquartile range (IQR)27.516367

Descriptive statistics

Standard deviation16.125632
Coefficient of variation (CV)0.25186375
Kurtosis-1.2014474
Mean64.025219
Median Absolute Deviation (MAD)12.037139
Skewness-0.39059309
Sum1920.7566
Variance260.03601
MonotonicityNot monotonic
2023-12-12T20:44:32.677093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
78.88687082 1
 
3.3%
70.5079151 1
 
3.3%
44.91677372 1
 
3.3%
56.30280173 1
 
3.3%
73.87271029 1
 
3.3%
39.41913952 1
 
3.3%
55.63014445 1
 
3.3%
74.71205638 1
 
3.3%
40.7877925 1
 
3.3%
66.32259705 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
37.71164936 1
3.3%
37.78021256 1
3.3%
39.41913952 1
3.3%
39.85589434 1
3.3%
40.7877925 1
3.3%
44.49562018 1
3.3%
44.91677372 1
3.3%
45.66892767 1
3.3%
55.63014445 1
3.3%
56.30280173 1
3.3%
ValueCountFrequency (%)
87.02144875 1
3.3%
86.20862062 1
3.3%
82.66282491 1
3.3%
82.61992433 1
3.3%
82.21727004 1
3.3%
80.37707996 1
3.3%
78.88687082 1
3.3%
75.9967791 1
3.3%
74.71205638 1
3.3%
73.87271029 1
3.3%

Interactions

2023-12-12T20:44:30.823507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:44:30.477689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:44:30.989345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:44:30.649605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:44:32.849631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도연료원이용률
연도1.0000.0000.000
연료원0.0001.0000.949
이용률0.0000.9491.000
2023-12-12T20:44:33.039932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도이용률연료원
연도1.000-0.4270.000
이용률-0.4271.0000.642
연료원0.0000.6421.000

Missing values

2023-12-12T20:44:31.190655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:44:31.352671image/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

연도연료원이용률
02012원자력78.886871
12012석탄86.208621
22012LNG59.695934
32013원자력72.995931
42013석탄87.021449
52013LNG58.199682
62014원자력82.21727
72014석탄82.662825
82014LNG45.668928
92015원자력82.619924
연도연료원이용률
202018LNG44.49562
212019원자력68.154043
222019석탄66.322597
232019LNG40.787793
242020원자력74.712056
252020석탄55.630144
262020LNG39.41914
272021원자력73.87271
282021석탄56.302802
292021LNG44.916774