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

Description한국지역난방공사 연료전지 에너지 생산현황(열) 에 관한 정보로 지사, 연도, 월, 열생산량을 포함하고 있습니다.
Author한국지역난방공사
URLhttps://www.data.go.kr/data/15104979/fileData.do

Alerts

지사 has constant value ""Constant
열생산량(Gcal) has unique valuesUnique

Reproduction

Analysis started2023-12-11 22:59:10.722371
Analysis finished2023-12-11 22:59:11.311518
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지사
Categorical

CONSTANT 

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

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동탄지사 36
100.0%

Length

2023-12-12T07:59:11.368015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:59:11.462367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동탄지사 36
100.0%

연도
Categorical

Distinct3
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
2019
12 
2020
12 
2021
12 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019
2nd row2019
3rd row2019
4th row2019
5th row2019

Common Values

ValueCountFrequency (%)
2019 12
33.3%
2020 12
33.3%
2021 12
33.3%

Length

2023-12-12T07:59:11.560443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:59:11.649290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 12
33.3%
2020 12
33.3%
2021 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
2023-12-12T07:59:11.769245image/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
2023-12-12T07:59:11.893493image/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%

열생산량(Gcal)
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6155.8333
Minimum3402
Maximum7321
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-12T07:59:11.998241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3402
5-th percentile4609.5
Q15738.25
median6191
Q36690.75
95-th percentile7288
Maximum7321
Range3919
Interquartile range (IQR)952.5

Descriptive statistics

Standard deviation848.87019
Coefficient of variation (CV)0.13789688
Kurtosis1.9509632
Mean6155.8333
Median Absolute Deviation (MAD)504.5
Skewness-1.0731245
Sum221610
Variance720580.6
MonotonicityNot monotonic
2023-12-12T07:59:12.156398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
4602 1
 
2.8%
6684 1
 
2.8%
7247 1
 
2.8%
7278 1
 
2.8%
6588 1
 
2.8%
6472 1
 
2.8%
5918 1
 
2.8%
7321 1
 
2.8%
7318 1
 
2.8%
6982 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
3402 1
2.8%
4602 1
2.8%
4612 1
2.8%
5228 1
2.8%
5341 1
2.8%
5459 1
2.8%
5521 1
2.8%
5575 1
2.8%
5625 1
2.8%
5776 1
2.8%
ValueCountFrequency (%)
7321 1
2.8%
7318 1
2.8%
7278 1
2.8%
7247 1
2.8%
7188 1
2.8%
6982 1
2.8%
6980 1
2.8%
6726 1
2.8%
6705 1
2.8%
6686 1
2.8%

Interactions

2023-12-12T07:59:10.980829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:59:10.803026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:59:11.064881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:59:10.883865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T07:59:12.264881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도월열생산량(Gcal)
연도1.0000.0000.537
월0.0001.0000.427
열생산량(Gcal)0.5370.4271.000
2023-12-12T07:59:12.347059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
월열생산량(Gcal)연도
월1.0000.1180.000
열생산량(Gcal)0.1181.0000.382
연도0.0000.3821.000

Missing values

2023-12-12T07:59:11.205113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T07:59:11.282423image/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

지사연도월열생산량(Gcal)
0동탄지사201914602
1동탄지사201924612
2동탄지사201935228
3동탄지사201943402
4동탄지사201956399
5동탄지사201966082
6동탄지사201976051
7동탄지사201985341
8동탄지사201995776
9동탄지사2019106252
지사연도월열생산량(Gcal)
26동탄지사202137321
27동탄지사202147318
28동탄지사202156982
29동탄지사202166368
30동탄지사202175966
31동탄지사202185459
32동탄지사202195973
33동탄지사2021105944
34동탄지사2021116686
35동탄지사2021126130