Overview

Dataset statistics

Number of variables6
Number of observations72
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory51.8 B

Variable types

Numeric2
Categorical4

Dataset

Description한국중부발전(주) 발전소 온배수 정보입니다. 목록명은 "순번", "기관명", "사업소명", "연월", "온배수배출량", "단위명"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 started2024-04-21 01:55:25.821065
Analysis finished2024-04-21 01:55:27.808462
Duration1.99 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.5
Minimum1
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2024-04-21T10:55:27.879725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.55
Q118.75
median36.5
Q354.25
95-th percentile68.45
Maximum72
Range71
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation20.92845
Coefficient of variation (CV)0.57338218
Kurtosis-1.2
Mean36.5
Median Absolute Deviation (MAD)18
Skewness0
Sum2628
Variance438
MonotonicityStrictly increasing
2024-04-21T10:55:28.026750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
38 1
 
1.4%
54 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
Other values (62) 62
86.1%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
72 1
1.4%
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%

기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size708.0 B
한국중부발전㈜
72 

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㈜ 72
100.0%

Length

2024-04-21T10:55:28.159629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:55:28.259213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국중부발전㈜ 72
100.0%

사업소명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size708.0 B
보령기력
12 
신보령기력
12 
인천복합
12 
서울복합
12 
제주기력
12 

Length

Max length5
Median length4
Mean length4.3333333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보령기력 12
16.7%
신보령기력 12
16.7%
인천복합 12
16.7%
서울복합 12
16.7%
제주기력 12
16.7%
신서천기력 12
16.7%

Length

2024-04-21T10:55:28.359952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:55:28.490956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보령기력 12
16.7%
신보령기력 12
16.7%
인천복합 12
16.7%
서울복합 12
16.7%
제주기력 12
16.7%
신서천기력 12
16.7%

연월
Categorical

Distinct12
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-01
6 
2023-02
6 
2023-03
6 
2023-04
6 
2023-05
6 
Other values (7)
42 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-01
2nd row2023-02
3rd row2023-03
4th row2023-04
5th row2023-05

Common Values

ValueCountFrequency (%)
2023-01 6
8.3%
2023-02 6
8.3%
2023-03 6
8.3%
2023-04 6
8.3%
2023-05 6
8.3%
2023-06 6
8.3%
2023-07 6
8.3%
2023-08 6
8.3%
2023-09 6
8.3%
2023-10 6
8.3%
Other values (2) 12
16.7%

Length

2024-04-21T10:55:28.619787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-01 6
8.3%
2023-02 6
8.3%
2023-03 6
8.3%
2023-04 6
8.3%
2023-05 6
8.3%
2023-06 6
8.3%
2023-07 6
8.3%
2023-08 6
8.3%
2023-09 6
8.3%
2023-10 6
8.3%
Other values (2) 12
16.7%

온배수배출량
Real number (ℝ)

HIGH CORRELATION 

Distinct55
Distinct (%)76.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.93305556
Minimum0.03
Maximum3.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2024-04-21T10:55:28.739819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.03
5-th percentile0.1465
Q10.31
median0.51
Q31.2975
95-th percentile2.8365
Maximum3.85
Range3.82
Interquartile range (IQR)0.9875

Descriptive statistics

Standard deviation0.94012232
Coefficient of variation (CV)1.0075738
Kurtosis1.9303586
Mean0.93305556
Median Absolute Deviation (MAD)0.305
Skewness1.5933973
Sum67.18
Variance0.88382997
MonotonicityNot monotonic
2024-04-21T10:55:28.882500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.31 4
 
5.6%
0.35 3
 
4.2%
0.29 3
 
4.2%
0.6 2
 
2.8%
0.51 2
 
2.8%
0.13 2
 
2.8%
0.37 2
 
2.8%
1.2 2
 
2.8%
2.4 2
 
2.8%
0.24 2
 
2.8%
Other values (45) 48
66.7%
ValueCountFrequency (%)
0.03 1
1.4%
0.06 1
1.4%
0.13 2
2.8%
0.16 1
1.4%
0.17 1
1.4%
0.18 1
1.4%
0.19 1
1.4%
0.2 1
1.4%
0.21 1
1.4%
0.24 2
2.8%
ValueCountFrequency (%)
3.85 1
1.4%
3.76 1
1.4%
3.69 1
1.4%
3.26 1
1.4%
2.49 1
1.4%
2.4 2
2.8%
2.17 2
2.8%
2.16 1
1.4%
2.11 1
1.4%
2.02 1
1.4%

단위명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size708.0 B
억톤
72 

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 72
100.0%

Length

2024-04-21T10:55:29.015898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:55:29.115084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
억톤 72
100.0%

Interactions

2024-04-21T10:55:27.448959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:55:27.088167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:55:27.538521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:55:27.229374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:55:29.177364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번사업소명연월온배수배출량
순번1.0000.9510.0000.539
사업소명0.9511.0000.0000.629
연월0.0000.0001.0000.000
온배수배출량0.5390.6290.0001.000
2024-04-21T10:55:29.260642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연월사업소명
연월1.0000.000
사업소명0.0001.000
2024-04-21T10:55:29.347362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번온배수배출량사업소명연월
순번1.000-0.5700.8450.000
온배수배출량-0.5701.0000.3620.000
사업소명0.8450.3621.0000.000
연월0.0000.0000.0001.000

Missing values

2024-04-21T10:55:27.652282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:55:27.757156image/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㈜보령기력2023-012.02억톤
12한국중부발전㈜보령기력2023-021.93억톤
23한국중부발전㈜보령기력2023-031.49억톤
34한국중부발전㈜보령기력2023-041.45억톤
45한국중부발전㈜보령기력2023-051.56억톤
56한국중부발전㈜보령기력2023-062.49억톤
67한국중부발전㈜보령기력2023-073.76억톤
78한국중부발전㈜보령기력2023-083.85억톤
89한국중부발전㈜보령기력2023-093.69억톤
910한국중부발전㈜보령기력2023-103.26억톤
순번기관명사업소명연월온배수배출량단위명
6263한국중부발전㈜신서천기력2023-030.55억톤
6364한국중부발전㈜신서천기력2023-040.29억톤
6465한국중부발전㈜신서천기력2023-050.06억톤
6566한국중부발전㈜신서천기력2023-060.91억톤
6667한국중부발전㈜신서천기력2023-071.2억톤
6768한국중부발전㈜신서천기력2023-081.26억톤
6869한국중부발전㈜신서천기력2023-090.51억톤
6970한국중부발전㈜신서천기력2023-101.01억톤
7071한국중부발전㈜신서천기력2023-110.43억톤
7172한국중부발전㈜신서천기력2023-120.57억톤