Overview

Dataset statistics

Number of variables4
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory38.7 B

Variable types

Categorical2
Numeric2

Dataset

Description한국서부발전 신재생 사업분야중 화순풍력발전사업의 월간 풍력발전량 데이터를 제공합니다.
Author한국서부발전(주)
URLhttps://www.data.go.kr/data/15088628/fileData.do

Alerts

사업명 has constant value ""Constant
발전량(MWh) has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:16:32.950811
Analysis finished2023-12-12 04:16:33.777713
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
화순풍력
36 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
화순풍력 36
100.0%

Length

2023-12-12T13:16:33.862010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:16:33.993997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
화순풍력 36
100.0%

년도
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
2018
12 
2019
12 
2020
12 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018
2nd row2018
3rd row2018
4th row2018
5th row2018

Common Values

ValueCountFrequency (%)
2018 12
33.3%
2019 12
33.3%
2020 12
33.3%

Length

2023-12-12T13:16:34.148610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:16:34.309338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018 12
33.3%
2019 12
33.3%
2020 12
33.3%

월
Real number (ℝ)

Distinct12
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-12T13:16:34.454089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13.75
median6.5
Q39.25
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation3.5010203
Coefficient of variation (CV)0.5386185
Kurtosis-1.217232
Mean6.5
Median Absolute Deviation (MAD)3
Skewness0
Sum234
Variance12.257143
MonotonicityNot monotonic
2023-12-12T13:16:34.628679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 3
8.3%
2 3
8.3%
3 3
8.3%
4 3
8.3%
5 3
8.3%
6 3
8.3%
7 3
8.3%
8 3
8.3%
9 3
8.3%
10 3
8.3%
Other values (2) 6
16.7%
ValueCountFrequency (%)
1 3
8.3%
2 3
8.3%
3 3
8.3%
4 3
8.3%
5 3
8.3%
6 3
8.3%
7 3
8.3%
8 3
8.3%
9 3
8.3%
10 3
8.3%
ValueCountFrequency (%)
12 3
8.3%
11 3
8.3%
10 3
8.3%
9 3
8.3%
8 3
8.3%
7 3
8.3%
6 3
8.3%
5 3
8.3%
4 3
8.3%
3 3
8.3%

발전량(MWh)
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2152.4917
Minimum707.4
Maximum3363.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-12T13:16:34.797901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum707.4
5-th percentile1063.625
Q11605.05
median2306.2
Q32714.025
95-th percentile3304.8
Maximum3363.5
Range2656.1
Interquartile range (IQR)1108.975

Descriptive statistics

Standard deviation734.22613
Coefficient of variation (CV)0.34110521
Kurtosis-1.0268587
Mean2152.4917
Median Absolute Deviation (MAD)569.7
Skewness-0.18052698
Sum77489.7
Variance539088.01
MonotonicityNot monotonic
2023-12-12T13:16:35.312059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
2834.8 1
 
2.8%
1087.3 1
 
2.8%
1624.4 1
 
2.8%
2732.7 1
 
2.8%
2845.2 1
 
2.8%
3316.2 1
 
2.8%
2507.1 1
 
2.8%
2674.2 1
 
2.8%
2707.8 1
 
2.8%
2027.6 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
707.4 1
2.8%
992.6 1
2.8%
1087.3 1
2.8%
1092.9 1
2.8%
1124.3 1
2.8%
1258.0 1
2.8%
1427.8 1
2.8%
1448.0 1
2.8%
1547.0 1
2.8%
1624.4 1
2.8%
ValueCountFrequency (%)
3363.5 1
2.8%
3316.2 1
2.8%
3301.0 1
2.8%
3043.6 1
2.8%
2947.5 1
2.8%
2892.0 1
2.8%
2845.2 1
2.8%
2834.8 1
2.8%
2732.7 1
2.8%
2707.8 1
2.8%

Interactions

2023-12-12T13:16:33.347270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:16:33.083250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:16:33.472645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:16:33.207262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:16:35.422512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년도월발전량(MWh)
년도1.0000.0000.000
월0.0001.0000.118
발전량(MWh)0.0000.1181.000
2023-12-12T13:16:35.525017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
월발전량(MWh)년도
월1.000-0.2930.000
발전량(MWh)-0.2931.0000.000
년도0.0000.0001.000

Missing values

2023-12-12T13:16:33.616204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:16:33.732824image/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

사업명년도월발전량(MWh)
0화순풍력201812834.8
1화순풍력201822947.5
2화순풍력201831675.0
3화순풍력201842562.3
4화순풍력201852312.4
5화순풍력20186992.6
6화순풍력201871258.0
7화순풍력201881643.0
8화순풍력201891448.0
9화순풍력2018102892.0
사업명년도월발전량(MWh)
26화순풍력202032674.2
27화순풍력202042707.8
28화순풍력202052027.6
29화순풍력202061427.8
30화순풍력202071752.6
31화순풍력202082510.0
32화순풍력202091092.9
33화순풍력2020102271.0
34화순풍력2020112325.0
35화순풍력2020122300.0