Overview

Dataset statistics

Number of variables3
Number of observations42
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory28.1 B

Variable types

Categorical2
Numeric1

Dataset

Description한국중부발전(주)의 발전기별 열효율 정보이며, 목록명은 "발전소", "호기", "열효율"로 구성되어 있습니다. 열효율 단위는 %(퍼센트)입니다.
Author한국중부발전(주)
URLhttps://www.data.go.kr/data/15119593/fileData.do

Alerts

열효율 is highly overall correlated with 호기High correlation
호기 is highly overall correlated with 열효율High correlation
열효율 has 11 (26.2%) zerosZeros

Reproduction

Analysis started2024-04-21 02:27:19.111310
Analysis finished2024-04-21 02:27:20.360053
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발전소
Categorical

Distinct10
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
보령복합
9 
인천복합
9 
보령기력
6 
서울복합
4 
제주복합
4 
Other values (5)
10 

Length

Max length5
Median length4
Mean length4.0714286
Min length4

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
보령복합 9
21.4%
인천복합 9
21.4%
보령기력 6
14.3%
서울복합 4
9.5%
제주복합 4
9.5%
세종복합 3
 
7.1%
신보령기력 2
 
4.8%
제주기력 2
 
4.8%
제주내연 2
 
4.8%
신서천화력 1
 
2.4%

Length

2024-04-21T11:27:20.422698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:27:20.532790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보령복합 9
21.4%
인천복합 9
21.4%
보령기력 6
14.3%
서울복합 4
9.5%
제주복합 4
9.5%
세종복합 3
 
7.1%
신보령기력 2
 
4.8%
제주기력 2
 
4.8%
제주내연 2
 
4.8%
신서천화력 1
 
2.4%

호기
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)40.5%
Missing0
Missing (%)0.0%
Memory size468.0 B
CG1
5 
CG2
5 
CS1
5 
CS2
4 
1
3 
Other values (12)
20 

Length

Max length3
Median length3
Mean length2.3809524
Min length1

Unique

Unique5 ?
Unique (%)11.9%

Sample

1st row3
2nd row4
3rd row5
4th row6
5th row7

Common Values

ValueCountFrequency (%)
CG1 5
11.9%
CG2 5
11.9%
CS1 5
11.9%
CS2 4
9.5%
1 3
 
7.1%
2 3
 
7.1%
CG3 2
 
4.8%
CS3 2
 
4.8%
3 2
 
4.8%
CG4 2
 
4.8%
Other values (7) 9
21.4%

Length

2024-04-21T11:27:20.667703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
cg1 5
11.9%
cs1 5
11.9%
cg2 5
11.9%
cs2 4
9.5%
1 3
 
7.1%
2 3
 
7.1%
cg4 2
 
4.8%
cg6 2
 
4.8%
cg5 2
 
4.8%
3 2
 
4.8%
Other values (7) 9
21.4%

열효율
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct32
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.667857
Minimum0
Maximum42.98
Zeros11
Zeros (%)26.2%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:27:20.776378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.3225
median29.915
Q336.625
95-th percentile42.68
Maximum42.98
Range42.98
Interquartile range (IQR)30.3025

Descriptive statistics

Standard deviation15.7151
Coefficient of variation (CV)0.6370679
Kurtosis-0.98242155
Mean24.667857
Median Absolute Deviation (MAD)7.91
Skewness-0.75832758
Sum1036.05
Variance246.96437
MonotonicityNot monotonic
2024-04-21T11:27:20.901863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0.0 11
26.2%
39.74 1
 
2.4%
30.48 1
 
2.4%
32.1 1
 
2.4%
30.09 1
 
2.4%
29.58 1
 
2.4%
31.14 1
 
2.4%
30.76 1
 
2.4%
29.74 1
 
2.4%
33.15 1
 
2.4%
Other values (22) 22
52.4%
ValueCountFrequency (%)
0.0 11
26.2%
25.29 1
 
2.4%
25.43 1
 
2.4%
25.56 1
 
2.4%
25.87 1
 
2.4%
26.9 1
 
2.4%
26.94 1
 
2.4%
27.56 1
 
2.4%
27.66 1
 
2.4%
29.58 1
 
2.4%
ValueCountFrequency (%)
42.98 1
2.4%
42.73 1
2.4%
42.71 1
2.4%
42.11 1
2.4%
41.8 1
2.4%
39.94 1
2.4%
39.74 1
2.4%
39.13 1
2.4%
38.7 1
2.4%
38.08 1
2.4%

Interactions

2024-04-21T11:27:19.996891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T11:27:20.978972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발전소호기열효율
발전소1.0000.0000.688
호기0.0001.0000.875
열효율0.6880.8751.000
2024-04-21T11:27:21.054559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
호기발전소
호기1.0000.000
발전소0.0001.000
2024-04-21T11:27:21.141495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
열효율발전소호기
열효율1.0000.4200.541
발전소0.4201.0000.000
호기0.5410.0001.000

Missing values

2024-04-21T11:27:20.142519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T11:27:20.330608image/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

발전소호기열효율
0보령기력339.74
1보령기력439.94
2보령기력538.08
3보령기력637.57
4보령기력738.7
5보령기력839.13
6신보령기력141.8
7신보령기력242.11
8신서천화력142.71
9보령복합CG125.56
발전소호기열효율
32인천복합CG629.74
33인천복합CS30.0
34제주복합CG127.56
35제주복합CS10.0
36제주복합CG227.66
37제주복합CS20.0
38제주기력233.38
39제주기력333.79
40제주내연142.98
41제주내연242.73