Overview

Dataset statistics

Number of variables3
Number of observations54
Missing cells5
Missing cells (%)3.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory28.4 B

Variable types

Categorical2
Numeric1

Dataset

Description부산광역시 신재생에너지 보급현황에 대한 데이터로 연도, 신재생에너지 구분, 부산지역생산량 항목정보를 제공합니다. * 통계데이터로 2020년 12월말 기준 자료가 2022년 4월 확정됩니다.
URLhttps://www.data.go.kr/data/3075983/fileData.do

Alerts

부산지역생산량 has 5 (9.3%) missing valuesMissing

Reproduction

Analysis started2023-12-11 23:20:39.583515
Analysis finished2023-12-11 23:20:39.852890
Duration0.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
2020
27 
2019
27 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2020
5th row2020

Common Values

ValueCountFrequency (%)
2020 27
50.0%
2019 27
50.0%

Length

2023-12-12T08:20:39.902774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:20:39.993360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 27
50.0%
2019 27
50.0%

신재생에너지구분
Categorical

Distinct21
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
사업용
8 
자가용
8 
매립지가스(천증기톤)
 
2
풍력(MWh)
 
2
수력(MWh)1
 
2
Other values (16)
32 

Length

Max length11
Median length9
Mean length6.5185185
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row태양열(toe)
2nd row태양광(MWh)
3rd row사업용
4th row자가용
5th row풍력(MWh)

Common Values

ValueCountFrequency (%)
사업용 8
 
14.8%
자가용 8
 
14.8%
매립지가스(천증기톤) 2
 
3.7%
풍력(MWh) 2
 
3.7%
수력(MWh)1 2
 
3.7%
지열(toe) 2
 
3.7%
수열(toe) 2
 
3.7%
바이오 2
 
3.7%
바이오가스(천증기톤) 2
 
3.7%
태양광(MWh) 2
 
3.7%
Other values (11) 22
40.7%

Length

2023-12-12T08:20:40.097761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사업용 8
 
14.8%
자가용 8
 
14.8%
성형탄(t㎈ 2
 
3.7%
태양열(toe 2
 
3.7%
우드칩(t㎈ 2
 
3.7%
srf(tcal 2
 
3.7%
생활폐기물(천증기톤 2
 
3.7%
산업폐기물(천증기톤 2
 
3.7%
폐기물 2
 
3.7%
목재펠릿(t㎈ 2
 
3.7%
Other values (11) 22
40.7%

부산지역생산량
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)95.9%
Missing5
Missing (%)9.3%
Infinite0
Infinite (%)0.0%
Mean33624.265
Minimum4
Maximum248142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-12T08:20:40.195808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile15.8
Q169
median239
Q31184
95-th percentile210227.6
Maximum248142
Range248138
Interquartile range (IQR)1115

Descriptive statistics

Standard deviation72711.969
Coefficient of variation (CV)2.162485
Kurtosis2.7897209
Mean33624.265
Median Absolute Deviation (MAD)204
Skewness2.0350491
Sum1647589
Variance5.2870304 × 109
MonotonicityNot monotonic
2023-12-12T08:20:40.516080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
70 2
 
3.7%
23 2
 
3.7%
36 1
 
1.9%
40846 1
 
1.9%
341 1
 
1.9%
239 1
 
1.9%
102 1
 
1.9%
101 1
 
1.9%
31 1
 
1.9%
2896 1
 
1.9%
Other values (37) 37
68.5%
(Missing) 5
 
9.3%
ValueCountFrequency (%)
4 1
1.9%
7 1
1.9%
11 1
1.9%
23 2
3.7%
28 1
1.9%
31 1
1.9%
35 1
1.9%
36 1
1.9%
38 1
1.9%
54 1
1.9%
ValueCountFrequency (%)
248142 1
1.9%
247325 1
1.9%
227442 1
1.9%
184406 1
1.9%
183222 1
1.9%
157675 1
1.9%
136752 1
1.9%
116829 1
1.9%
90690 1
1.9%
40846 1
1.9%

Interactions

2023-12-12T08:20:39.675259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:20:40.581051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도신재생에너지구분부산지역생산량
연도1.0000.0000.120
신재생에너지구분0.0001.0000.000
부산지역생산량0.1200.0001.000
2023-12-12T08:20:40.647589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도신재생에너지구분
연도1.0000.000
신재생에너지구분0.0001.000
2023-12-12T08:20:40.714982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부산지역생산량연도신재생에너지구분
부산지역생산량1.0000.0640.000
연도0.0641.0000.000
신재생에너지구분0.0000.0001.000

Missing values

2023-12-12T08:20:39.770797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:20:39.829316image/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

연도신재생에너지구분부산지역생산량
02020태양열(toe)777
12020태양광(MWh)227442
22020사업용136752
32020자가용90690
42020풍력(MWh)253
52020사업용146
62020자가용107
72020수력(MWh)193
82020사업용38
92020자가용55
연도신재생에너지구분부산지역생산량
442019성형탄(T㎈)11
452019임산연료(T㎈)4
462019목재펠릿(T㎈)89
472019폐기물<NA>
482019산업폐기물(천증기톤)396
492019생활폐기물(천증기톤)517
502019SRF(Tcal)421
512019연료전지(MWh)248142
522019사업용247325
532019자가용817