Overview

Dataset statistics

Number of variables6
Number of observations300
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.8 KiB
Average record size in memory50.4 B

Variable types

Categorical3
DateTime1
Numeric2

Dataset

Description한국남부발전(주)_온배수 온도 현황에 대한 데이터로 기관명, 사업소명, 배출연월일, 온배구 온도(취수구, 방류구) 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15086387/fileData.do

Alerts

기관명 has constant value ""Constant
단위 has constant value ""Constant
온배수 취수구 온도 is highly overall correlated with 온배수 방류구 온도High correlation
온배수 방류구 온도 is highly overall correlated with 온배수 취수구 온도High correlation

Reproduction

Analysis started2023-12-12 10:33:09.680398
Analysis finished2023-12-12 10:33:10.483828
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
한국남부발전㈜
300 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한국남부발전㈜ 300
100.0%

Length

2023-12-12T19:33:10.545555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:33:10.639264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국남부발전㈜ 300
100.0%

사업소명
Categorical

Distinct5
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
하동발전본부
60 
신인천발전본부
60 
부산발전본부
60 
남제주발전본부
60 
삼척발전본부
60 

Length

Max length7
Median length6
Mean length6.4
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
하동발전본부 60
20.0%
신인천발전본부 60
20.0%
부산발전본부 60
20.0%
남제주발전본부 60
20.0%
삼척발전본부 60
20.0%

Length

2023-12-12T19:33:10.767969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:33:10.925666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
하동발전본부 60
20.0%
신인천발전본부 60
20.0%
부산발전본부 60
20.0%
남제주발전본부 60
20.0%
삼척발전본부 60
20.0%

연월일
Date

Distinct60
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2018-01-01 00:00:00
Maximum2022-12-01 00:00:00
2023-12-12T19:33:11.100721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:33:11.295330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

온배수 취수구 온도
Real number (ℝ)

HIGH CORRELATION 

Distinct161
Distinct (%)53.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.654667
Minimum2.8
Maximum28.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T19:33:11.480148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile7.4
Q113.3
median17.7
Q322.3
95-th percentile26.605
Maximum28.4
Range25.6
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.0052941
Coefficient of variation (CV)0.34015335
Kurtosis-0.62249458
Mean17.654667
Median Absolute Deviation (MAD)4.55
Skewness-0.2874806
Sum5296.4
Variance36.063557
MonotonicityNot monotonic
2023-12-12T19:33:11.679778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.0 6
 
2.0%
17.0 5
 
1.7%
14.9 5
 
1.7%
17.7 5
 
1.7%
17.5 4
 
1.3%
18.0 4
 
1.3%
21.1 4
 
1.3%
7.9 4
 
1.3%
17.8 4
 
1.3%
13.6 4
 
1.3%
Other values (151) 255
85.0%
ValueCountFrequency (%)
2.8 1
0.3%
2.9 1
0.3%
3.1 1
0.3%
3.4 1
0.3%
3.7 1
0.3%
3.8 1
0.3%
4.7 1
0.3%
4.8 1
0.3%
5.5 1
0.3%
5.9 2
0.7%
ValueCountFrequency (%)
28.4 1
0.3%
28.2 1
0.3%
28.1 1
0.3%
28.0 1
0.3%
27.8 2
0.7%
27.7 1
0.3%
27.5 1
0.3%
27.4 1
0.3%
27.2 1
0.3%
27.1 1
0.3%

온배수 방류구 온도
Real number (ℝ)

HIGH CORRELATION 

Distinct153
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.892333
Minimum7.1
Maximum34.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T19:33:11.858104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.1
5-th percentile15.58
Q121.175
median25.8
Q328.95
95-th percentile32.115
Maximum34.9
Range27.8
Interquartile range (IQR)7.775

Descriptive statistics

Standard deviation5.2195005
Coefficient of variation (CV)0.20968305
Kurtosis-0.18595382
Mean24.892333
Median Absolute Deviation (MAD)3.65
Skewness-0.53693658
Sum7467.7
Variance27.243185
MonotonicityNot monotonic
2023-12-12T19:33:12.029858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30.9 7
 
2.3%
31.0 6
 
2.0%
27.5 5
 
1.7%
25.3 5
 
1.7%
26.0 5
 
1.7%
29.2 5
 
1.7%
31.1 5
 
1.7%
27.2 5
 
1.7%
27.1 4
 
1.3%
21.5 4
 
1.3%
Other values (143) 249
83.0%
ValueCountFrequency (%)
7.1 1
0.3%
10.0 1
0.3%
11.7 1
0.3%
11.8 1
0.3%
12.1 1
0.3%
13.7 1
0.3%
13.9 1
0.3%
14.1 1
0.3%
14.7 2
0.7%
14.8 1
0.3%
ValueCountFrequency (%)
34.9 1
0.3%
34.5 1
0.3%
33.9 1
0.3%
33.7 2
0.7%
33.6 1
0.3%
33.5 1
0.3%
33.3 1
0.3%
33.1 1
0.3%
33.0 1
0.3%
32.7 1
0.3%

단위
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
℃
300 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row℃
2nd row℃
3rd row℃
4th row℃
5th row℃

Common Values

ValueCountFrequency (%)
℃ 300
100.0%

Length

2023-12-12T19:33:12.229954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:33:12.365668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
℃ 300
100.0%

Interactions

2023-12-12T19:33:10.075587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:33:09.867149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:33:10.183657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:33:09.970143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:33:12.464780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업소명연월일온배수 취수구 온도온배수 방류구 온도
사업소명1.0000.0000.6300.565
연월일0.0001.0000.7240.656
온배수 취수구 온도0.6300.7241.0000.874
온배수 방류구 온도0.5650.6560.8741.000
2023-12-12T19:33:12.570565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
온배수 취수구 온도온배수 방류구 온도사업소명
온배수 취수구 온도1.0000.8540.308
온배수 방류구 온도0.8541.0000.264
사업소명0.3080.2641.000

Missing values

2023-12-12T19:33:10.309113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:33:10.430685image/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

기관명사업소명연월일온배수 취수구 온도온배수 방류구 온도단위
0한국남부발전㈜하동발전본부2018-01-017.418.0℃
1한국남부발전㈜하동발전본부2018-02-016.617.2℃
2한국남부발전㈜하동발전본부2018-03-0110.220.2℃
3한국남부발전㈜하동발전본부2018-04-0114.124.3℃
4한국남부발전㈜하동발전본부2018-05-0117.726.2℃
5한국남부발전㈜하동발전본부2018-06-0122.028.7℃
6한국남부발전㈜하동발전본부2018-07-0125.030.5℃
7한국남부발전㈜하동발전본부2018-08-0128.433.7℃
8한국남부발전㈜하동발전본부2018-09-0124.629.6℃
9한국남부발전㈜하동발전본부2018-10-0122.026.5℃
기관명사업소명연월일온배수 취수구 온도온배수 방류구 온도단위
290한국남부발전㈜삼척발전본부2022-03-0111.317.9℃
291한국남부발전㈜삼척발전본부2022-04-0114.417.1℃
292한국남부발전㈜삼척발전본부2022-05-0114.621.1℃
293한국남부발전㈜삼척발전본부2022-06-0116.023.5℃
294한국남부발전㈜삼척발전본부2022-07-0120.827.5℃
295한국남부발전㈜삼척발전본부2022-08-0120.626.5℃
296한국남부발전㈜삼척발전본부2022-09-0121.427.4℃
297한국남부발전㈜삼척발전본부2022-10-0119.522.4℃
298한국남부발전㈜삼척발전본부2022-11-0118.924.2℃
299한국남부발전㈜삼척발전본부2022-12-0116.224.3℃