Overview

Dataset statistics

Number of variables4
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory982.0 B
Average record size in memory39.3 B

Variable types

DateTime2
Numeric2

Dataset

Description한국가스공사의 역대 일일 최대공급량 순위 이며, 일별 총 공급량 기준일로 각 해당일의 도시가스,발전 공급량을 나타낸 자료 입니다. 데이터는 총공급량을 기준으로 내림차순으로 정렬되어 있습니다.
Author한국가스공사
URLhttps://www.data.go.kr/data/15049926/fileData.do

Alerts

공급량(발전) is highly overall correlated with 공급량(도시가스)High correlation
공급량(도시가스) is highly overall correlated with 공급량(발전)High correlation
날짜(발전) has unique valuesUnique
공급량(발전) has unique valuesUnique
날짜(도시가스) has unique valuesUnique
공급량(도시가스) has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:53:22.414148
Analysis finished2023-12-12 22:53:23.024105
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜(발전)
Date

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2018-01-26 00:00:00
Maximum2022-02-23 00:00:00
2023-12-13T07:53:23.104823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:53:23.241124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

공급량(발전)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99151.88
Minimum94661
Maximum113418
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T07:53:23.361840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94661
5-th percentile94846.6
Q195654
median96970
Q3101261
95-th percentile111410.4
Maximum113418
Range18757
Interquartile range (IQR)5607

Descriptive statistics

Standard deviation5416.3162
Coefficient of variation (CV)0.05462646
Kurtosis1.6753873
Mean99151.88
Median Absolute Deviation (MAD)1825
Skewness1.5915002
Sum2478797
Variance29336481
MonotonicityStrictly decreasing
2023-12-13T07:53:23.471088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
113418 1
 
4.0%
112090 1
 
4.0%
94661 1
 
4.0%
94787 1
 
4.0%
95085 1
 
4.0%
95145 1
 
4.0%
95225 1
 
4.0%
95275 1
 
4.0%
95654 1
 
4.0%
95658 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
94661 1
4.0%
94787 1
4.0%
95085 1
4.0%
95145 1
4.0%
95225 1
4.0%
95275 1
4.0%
95654 1
4.0%
95658 1
4.0%
95681 1
4.0%
95908 1
4.0%
ValueCountFrequency (%)
113418 1
4.0%
112090 1
4.0%
108692 1
4.0%
105241 1
4.0%
102492 1
4.0%
102322 1
4.0%
101261 1
4.0%
99471 1
4.0%
98828 1
4.0%
97780 1
4.0%
Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2012-02-02 00:00:00
Maximum2022-01-13 00:00:00
2023-12-13T07:53:23.576921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:53:23.671676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

공급량(도시가스)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118719.88
Minimum111762
Maximum137397
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T07:53:23.780952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum111762
5-th percentile112237.2
Q1114563
median116565
Q3121401
95-th percentile130157.2
Maximum137397
Range25635
Interquartile range (IQR)6838

Descriptive statistics

Standard deviation6659.9501
Coefficient of variation (CV)0.056098019
Kurtosis1.2324607
Mean118719.88
Median Absolute Deviation (MAD)2899
Skewness1.3501451
Sum2967997
Variance44354935
MonotonicityStrictly decreasing
2023-12-13T07:53:23.888367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
137397 1
 
4.0%
130518 1
 
4.0%
111762 1
 
4.0%
112192 1
 
4.0%
112418 1
 
4.0%
112597 1
 
4.0%
113666 1
 
4.0%
113937 1
 
4.0%
114563 1
 
4.0%
114752 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
111762 1
4.0%
112192 1
4.0%
112418 1
4.0%
112597 1
4.0%
113666 1
4.0%
113937 1
4.0%
114563 1
4.0%
114752 1
4.0%
115117 1
4.0%
115446 1
4.0%
ValueCountFrequency (%)
137397 1
4.0%
130518 1
4.0%
128714 1
4.0%
127809 1
4.0%
126188 1
4.0%
123271 1
4.0%
121401 1
4.0%
120256 1
4.0%
117375 1
4.0%
117053 1
4.0%

Interactions

2023-12-13T07:53:22.701819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:53:22.534840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:53:22.790199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:53:22.620793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:53:23.958179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
날짜(발전)공급량(발전)날짜(도시가스)공급량(도시가스)
날짜(발전)1.0001.0001.0001.000
공급량(발전)1.0001.0001.0000.852
날짜(도시가스)1.0001.0001.0001.000
공급량(도시가스)1.0000.8521.0001.000
2023-12-13T07:53:24.037095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공급량(발전)공급량(도시가스)
공급량(발전)1.0001.000
공급량(도시가스)1.0001.000

Missing values

2023-12-13T07:53:22.883400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:53:22.980112image/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

날짜(발전)공급량(발전)날짜(도시가스)공급량(도시가스)
02021-01-071134182021-01-08137397
12021-01-081120902021-01-07130518
22021-01-111086922018-01-26128714
32021-01-121052412021-01-09127809
42021-01-061024922018-01-25126188
52021-02-171023222021-01-11123271
62021-02-181012612018-01-24121401
72021-01-05994712018-02-06120256
82022-02-22988282021-01-10117375
92020-02-06977802018-01-12117053
날짜(발전)공급량(발전)날짜(도시가스)공급량(도시가스)
152018-01-26959082021-01-06115446
162020-12-17956812013-01-03115117
172021-01-09956582018-01-29114752
182021-01-19956542018-01-11114563
192019-12-06952752013-01-04113937
202022-02-21952252018-12-28113666
212020-01-14951452018-01-30112597
222020-12-15950852022-01-13112418
232020-01-15947872012-02-02112192
242021-01-29946612021-02-17111762