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

DateTime1
Numeric2

Dataset

Description2019년 1월~10월 까지의 제주 지역의 5분 단위 전력수요 및 신재생 통합 발전량을 제공합니다.
Author한국전력거래소
URLhttps://www.data.go.kr/data/15100173/fileData.do

Alerts

년 월 일 시 분 has unique valuesUnique
제주 총발전량 has unique valuesUnique
제주신재생발전량 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:55:58.189978
Analysis finished2023-12-12 23:55:58.812359
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년 월 일 시 분
Date

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2019-01-01 01:05:00
Maximum2019-10-31 23:55:00
2023-12-13T08:55:58.867090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:55:58.972374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제주 총발전량
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean658.30393
Minimum435.36167
Maximum979.24757
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T08:55:59.074752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum435.36167
5-th percentile498.88664
Q1578.18696
median649.56716
Q3726.03502
95-th percentile851.79984
Maximum979.24757
Range543.8859
Interquartile range (IQR)147.84806

Descriptive statistics

Standard deviation106.12097
Coefficient of variation (CV)0.16120361
Kurtosis-0.35334471
Mean658.30393
Median Absolute Deviation (MAD)73.892747
Skewness0.43152563
Sum6583039.3
Variance11261.661
MonotonicityNot monotonic
2023-12-13T08:55:59.184597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
498.889222 1
 
< 0.1%
656.747966 1
 
< 0.1%
492.743049 1
 
< 0.1%
666.506605 1
 
< 0.1%
645.691277 1
 
< 0.1%
836.801686 1
 
< 0.1%
583.310634 1
 
< 0.1%
743.572657 1
 
< 0.1%
683.475887 1
 
< 0.1%
523.284991 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
435.36167 1
< 0.1%
436.616425 1
< 0.1%
437.468552 1
< 0.1%
455.179879 1
< 0.1%
463.063736 1
< 0.1%
463.363635 1
< 0.1%
463.833361 1
< 0.1%
464.101958 1
< 0.1%
464.207333 1
< 0.1%
464.757224 1
< 0.1%
ValueCountFrequency (%)
979.247568 1
< 0.1%
978.615453 1
< 0.1%
973.677749 1
< 0.1%
973.325341 1
< 0.1%
968.703671 1
< 0.1%
966.480277 1
< 0.1%
966.357611 1
< 0.1%
966.034999 1
< 0.1%
963.818166 1
< 0.1%
962.210366 1
< 0.1%

제주신재생발전량
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.592142
Minimum3.376283
Maximum348.23707
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T08:55:59.345780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.376283
5-th percentile6.8527224
Q126.251003
median74.778455
Q3140.26475
95-th percentile226.73296
Maximum348.23707
Range344.86079
Interquartile range (IQR)114.01374

Descriptive statistics

Standard deviation72.273245
Coefficient of variation (CV)0.79778713
Kurtosis-0.37886933
Mean90.592142
Median Absolute Deviation (MAD)54.037197
Skewness0.71881064
Sum905921.42
Variance5223.422
MonotonicityNot monotonic
2023-12-13T08:55:59.467628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46.918975 1
 
< 0.1%
16.258739 1
 
< 0.1%
14.853851 1
 
< 0.1%
80.617885 1
 
< 0.1%
120.848218 1
 
< 0.1%
30.452934 1
 
< 0.1%
12.287385 1
 
< 0.1%
95.206005 1
 
< 0.1%
131.560004 1
 
< 0.1%
87.828556 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
3.376283 1
< 0.1%
3.392695 1
< 0.1%
3.425307 1
< 0.1%
3.448174 1
< 0.1%
3.452336 1
< 0.1%
3.481958 1
< 0.1%
3.492104 1
< 0.1%
3.49475 1
< 0.1%
3.505051 1
< 0.1%
3.542611 1
< 0.1%
ValueCountFrequency (%)
348.237069 1
< 0.1%
348.007615 1
< 0.1%
343.088799 1
< 0.1%
335.410339 1
< 0.1%
334.367344 1
< 0.1%
333.037298 1
< 0.1%
332.283788 1
< 0.1%
329.902838 1
< 0.1%
326.985067 1
< 0.1%
326.890486 1
< 0.1%

Interactions

2023-12-13T08:55:58.544778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:55:58.384238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:55:58.620875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:55:58.464521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:55:59.554162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제주 총발전량제주신재생발전량
제주 총발전량1.0000.282
제주신재생발전량0.2821.000
2023-12-13T08:55:59.639348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제주 총발전량제주신재생발전량
제주 총발전량1.0000.225
제주신재생발전량0.2251.000

Missing values

2023-12-13T08:55:58.719985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:55:58.782883image/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

년 월 일 시 분제주 총발전량제주신재생발전량
795542019-10-04 05:50498.88922246.918975
194752019-03-09 15:00645.02542673.117583
468652019-06-12 17:40653.22064547.925844
561842019-07-15 02:15512.0075543.425307
636872019-08-10 03:30603.982466101.994812
171182019-03-01 10:35595.700021168.91144
754322019-09-19 22:20620.7018325.406905
12142019-01-05 05:10654.455416156.844373
304322019-04-16 16:05629.55332695.163814
534612019-07-05 15:20692.243199105.310287
년 월 일 시 분제주 총발전량제주신재생발전량
300702019-04-15 09:55597.718235183.855184
563742019-07-15 18:05731.22102942.051441
468202019-06-12 13:55628.218287122.879652
138882019-02-18 05:25708.09146653.010488
2442019-01-01 20:20796.151352211.326632
204072019-03-12 20:40782.002818174.371794
302162019-04-15 22:05742.7592728.823731
844512019-10-21 05:55498.06895351.995324
482672019-06-17 14:30618.565931137.452112
837412019-10-18 18:45668.83064386.053829