Overview

Dataset statistics

Number of variables6
Number of observations60
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory52.2 B

Variable types

Numeric2
Categorical3
DateTime1

Dataset

Description한국중부발전(주) 발전소 온배수 정보입니다. 목록명은 '순번', '기관명', '사업소명', '연월', '온배수배출량', '단위'로 구성되어 있습니다. 발전 4개사 공통 표준 양식으로 작성하였습니다.
Author한국중부발전(주)
URLhttps://www.data.go.kr/data/15083013/fileData.do

Alerts

기관명 has constant value ""Constant
단위명 has constant value ""Constant
순번 is highly overall correlated with 온배수배출량 and 1 other fieldsHigh correlation
온배수배출량 is highly overall correlated with 순번High correlation
사업소명 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:16:58.458151
Analysis finished2023-12-12 23:16:59.213185
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.5
Minimum1
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T08:16:59.296537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.95
Q115.75
median30.5
Q345.25
95-th percentile57.05
Maximum60
Range59
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation17.464249
Coefficient of variation (CV)0.57259833
Kurtosis-1.2
Mean30.5
Median Absolute Deviation (MAD)15
Skewness0
Sum1830
Variance305
MonotonicityStrictly increasing
2023-12-13T08:16:59.449309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.7%
32 1
 
1.7%
34 1
 
1.7%
35 1
 
1.7%
36 1
 
1.7%
37 1
 
1.7%
38 1
 
1.7%
39 1
 
1.7%
40 1
 
1.7%
41 1
 
1.7%
Other values (50) 50
83.3%
ValueCountFrequency (%)
1 1
1.7%
2 1
1.7%
3 1
1.7%
4 1
1.7%
5 1
1.7%
6 1
1.7%
7 1
1.7%
8 1
1.7%
9 1
1.7%
10 1
1.7%
ValueCountFrequency (%)
60 1
1.7%
59 1
1.7%
58 1
1.7%
57 1
1.7%
56 1
1.7%
55 1
1.7%
54 1
1.7%
53 1
1.7%
52 1
1.7%
51 1
1.7%

기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
한국중부발전㈜
60 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한국중부발전㈜
2nd row한국중부발전㈜
3rd row한국중부발전㈜
4th row한국중부발전㈜
5th row한국중부발전㈜

Common Values

ValueCountFrequency (%)
한국중부발전㈜ 60
100.0%

Length

2023-12-13T08:16:59.573110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:16:59.673969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국중부발전㈜ 60
100.0%

사업소명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
보령기력
12 
신보령기력
12 
인천복합
12 
서울복합
12 
제주기력
12 

Length

Max length5
Median length4
Mean length4.2
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보령기력 12
20.0%
신보령기력 12
20.0%
인천복합 12
20.0%
서울복합 12
20.0%
제주기력 12
20.0%

Length

2023-12-13T08:16:59.790720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:16:59.909923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보령기력 12
20.0%
신보령기력 12
20.0%
인천복합 12
20.0%
서울복합 12
20.0%
제주기력 12
20.0%

연월
Date

Distinct12
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum2022-01-01 00:00:00
Maximum2022-12-01 00:00:00
2023-12-13T08:17:00.005453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:17:00.145116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

온배수배출량
Real number (ℝ)

HIGH CORRELATION 

Distinct47
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.87633333
Minimum0.08
Maximum3.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T08:17:00.262734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.08
5-th percentile0.119
Q10.19
median0.495
Q31.335
95-th percentile2.4025
Maximum3.36
Range3.28
Interquartile range (IQR)1.145

Descriptive statistics

Standard deviation0.82853754
Coefficient of variation (CV)0.94545935
Kurtosis0.65996311
Mean0.87633333
Median Absolute Deviation (MAD)0.34
Skewness1.1576125
Sum52.58
Variance0.68647446
MonotonicityNot monotonic
2023-12-13T08:17:00.401873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0.19 5
 
8.3%
1.2 3
 
5.0%
0.13 2
 
3.3%
0.17 2
 
3.3%
0.34 2
 
3.3%
0.26 2
 
3.3%
0.16 2
 
3.3%
0.49 2
 
3.3%
2.4 2
 
3.3%
0.75 1
 
1.7%
Other values (37) 37
61.7%
ValueCountFrequency (%)
0.08 1
 
1.7%
0.09 1
 
1.7%
0.1 1
 
1.7%
0.12 1
 
1.7%
0.13 2
 
3.3%
0.15 1
 
1.7%
0.16 2
 
3.3%
0.17 2
 
3.3%
0.18 1
 
1.7%
0.19 5
8.3%
ValueCountFrequency (%)
3.36 1
1.7%
3.15 1
1.7%
2.45 1
1.7%
2.4 2
3.3%
2.08 1
1.7%
2.03 1
1.7%
1.97 1
1.7%
1.86 1
1.7%
1.73 1
1.7%
1.7 1
1.7%

단위명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
억톤
60 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
억톤 60
100.0%

Length

2023-12-13T08:17:00.534679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:17:00.630891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
억톤 60
100.0%

Interactions

2023-12-13T08:16:58.820383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:16:58.630085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:16:58.918122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:16:58.717983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:17:00.685872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번사업소명연월온배수배출량
순번1.0001.0000.0000.649
사업소명1.0001.0000.0000.702
연월0.0000.0001.0000.000
온배수배출량0.6490.7020.0001.000
2023-12-13T08:17:00.771699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번온배수배출량사업소명
순번1.000-0.8620.953
온배수배출량-0.8621.0000.483
사업소명0.9530.4831.000

Missing values

2023-12-13T08:16:59.054051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:16:59.164275image/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

순번기관명사업소명연월온배수배출량단위명
01한국중부발전㈜보령기력2022-011.73억톤
12한국중부발전㈜보령기력2022-021.31억톤
23한국중부발전㈜보령기력2022-031.7억톤
34한국중부발전㈜보령기력2022-041.55억톤
45한국중부발전㈜보령기력2022-051.86억톤
56한국중부발전㈜보령기력2022-062.08억톤
67한국중부발전㈜보령기력2022-073.36억톤
78한국중부발전㈜보령기력2022-083.15억톤
89한국중부발전㈜보령기력2022-092.45억톤
910한국중부발전㈜보령기력2022-101.97억톤
순번기관명사업소명연월온배수배출량단위명
5051한국중부발전㈜제주기력2022-030.08억톤
5152한국중부발전㈜제주기력2022-040.13억톤
5253한국중부발전㈜제주기력2022-050.19억톤
5354한국중부발전㈜제주기력2022-060.19억톤
5455한국중부발전㈜제주기력2022-070.19억톤
5556한국중부발전㈜제주기력2022-080.19억톤
5657한국중부발전㈜제주기력2022-090.19억톤
5758한국중부발전㈜제주기력2022-100.15억톤
5859한국중부발전㈜제주기력2022-110.17억톤
5960한국중부발전㈜제주기력2022-120.2억톤