Overview

Dataset statistics

Number of variables3
Number of observations1186
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory30.2 KiB
Average record size in memory26.1 B

Variable types

Numeric2
DateTime1

Dataset

Description발전용 가스 일일공급량 데이터 입니다. 한국가스공사에서 집계된 일일 발전용 천연가스 공급량 이며 판매물량 정산 등에 의해 수치는 변동이 있을수 있습니다.
Author한국가스공사
URLhttps://www.data.go.kr/data/15127555/fileData.do

Alerts

구분 has unique valuesUnique
날짜 has unique valuesUnique

Reproduction

Analysis started2024-04-13 13:26:02.943600
Analysis finished2024-04-13 13:26:05.869649
Duration2.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

UNIQUE 

Distinct1186
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean593.5
Minimum1
Maximum1186
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-13T22:26:06.093200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile60.25
Q1297.25
median593.5
Q3889.75
95-th percentile1126.75
Maximum1186
Range1185
Interquartile range (IQR)592.5

Descriptive statistics

Standard deviation342.51302
Coefficient of variation (CV)0.57710702
Kurtosis-1.2
Mean593.5
Median Absolute Deviation (MAD)296.5
Skewness0
Sum703891
Variance117315.17
MonotonicityStrictly increasing
2024-04-13T22:26:06.537656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
798 1
 
0.1%
796 1
 
0.1%
795 1
 
0.1%
794 1
 
0.1%
793 1
 
0.1%
792 1
 
0.1%
791 1
 
0.1%
790 1
 
0.1%
789 1
 
0.1%
Other values (1176) 1176
99.2%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1186 1
0.1%
1185 1
0.1%
1184 1
0.1%
1183 1
0.1%
1182 1
0.1%
1181 1
0.1%
1180 1
0.1%
1179 1
0.1%
1178 1
0.1%
1177 1
0.1%

날짜
Date

UNIQUE 

Distinct1186
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
Minimum2021-01-01 00:00:00
Maximum2024-03-31 00:00:00
2024-04-13T22:26:06.958490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T22:26:07.380754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공급량(Ton)
Real number (ℝ)

Distinct1172
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67901.309
Minimum38124
Maximum113418
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-13T22:26:07.778669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38124
5-th percentile48754.75
Q158921
median66965.5
Q376035.5
95-th percentile89064.25
Maximum113418
Range75294
Interquartile range (IQR)17114.5

Descriptive statistics

Standard deviation12443.879
Coefficient of variation (CV)0.18326419
Kurtosis-0.055645408
Mean67901.309
Median Absolute Deviation (MAD)8433
Skewness0.38351368
Sum80530953
Variance1.5485012 × 108
MonotonicityNot monotonic
2024-04-13T22:26:08.231506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71629 2
 
0.2%
58294 2
 
0.2%
60474 2
 
0.2%
73524 2
 
0.2%
68536 2
 
0.2%
58921 2
 
0.2%
60655 2
 
0.2%
57933 2
 
0.2%
61430 2
 
0.2%
74253 2
 
0.2%
Other values (1162) 1166
98.3%
ValueCountFrequency (%)
38124 1
0.1%
39301 1
0.1%
39953 1
0.1%
40143 1
0.1%
40187 1
0.1%
41194 1
0.1%
41908 1
0.1%
42424 1
0.1%
42630 1
0.1%
43469 1
0.1%
ValueCountFrequency (%)
113418 1
0.1%
112090 1
0.1%
108692 1
0.1%
105241 1
0.1%
102667 1
0.1%
102492 1
0.1%
102384 1
0.1%
102322 1
0.1%
101809 1
0.1%
101261 1
0.1%

Interactions

2024-04-13T22:26:04.876971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T22:26:04.329951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T22:26:05.151261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-13T22:26:04.601929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-13T22:26:08.504863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분공급량(Ton)
구분1.0000.478
공급량(Ton)0.4781.000
2024-04-13T22:26:08.737392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분공급량(Ton)
구분1.0000.000
공급량(Ton)0.0001.000

Missing values

2024-04-13T22:26:05.502324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-13T22:26:05.752911image/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

구분날짜공급량(Ton)
012021-01-0157587
122021-01-0258730
232021-01-0359119
342021-01-0496064
452021-01-0599471
562021-01-06102492
672021-01-07113418
782021-01-08112090
892021-01-0995658
9102021-01-1080560
구분날짜공급량(Ton)
117611772024-03-2283903
117711782024-03-2361875
117811792024-03-2459213
117911802024-03-2574539
118011812024-03-2674681
118111822024-03-2773511
118211832024-03-2889002
118311842024-03-2976705
118411852024-03-3065946
118511862024-03-3157584