Overview

Dataset statistics

Number of variables3
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory332.0 KiB
Average record size in memory34.0 B

Variable types

Numeric2
DateTime1

Dataset

Description민수용 도시가스 수요의 일별 유효일수 자료입니다. 공휴일 등 특정일을 포함한 유효일수를 나타내며, 수요예측 등에 활용이 가능합니다.
Author한국가스공사
URLhttps://www.data.go.kr/data/15088307/fileData.do

Alerts

순번 has unique valuesUnique
연월일 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:19:32.889034
Analysis finished2023-12-12 15:19:34.144684
Duration1.26 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8423.2124
Minimum1
Maximum16801
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T00:19:34.217077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile866.95
Q14159.75
median8429.5
Q312654.25
95-th percentile15965.1
Maximum16801
Range16800
Interquartile range (IQR)8494.5

Descriptive statistics

Standard deviation4859.9115
Coefficient of variation (CV)0.57696652
Kurtosis-1.2123967
Mean8423.2124
Median Absolute Deviation (MAD)4246
Skewness-0.003791239
Sum84232124
Variance23618740
MonotonicityNot monotonic
2023-12-13T00:19:34.381771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8618 1
 
< 0.1%
292 1
 
< 0.1%
12049 1
 
< 0.1%
9395 1
 
< 0.1%
6164 1
 
< 0.1%
8288 1
 
< 0.1%
4289 1
 
< 0.1%
1772 1
 
< 0.1%
5051 1
 
< 0.1%
4789 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
9 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
14 1
< 0.1%
15 1
< 0.1%
16 1
< 0.1%
ValueCountFrequency (%)
16801 1
< 0.1%
16800 1
< 0.1%
16799 1
< 0.1%
16797 1
< 0.1%
16792 1
< 0.1%
16790 1
< 0.1%
16788 1
< 0.1%
16784 1
< 0.1%
16783 1
< 0.1%
16782 1
< 0.1%

연월일
Date

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1985-01-01 00:00:00
Maximum2030-12-31 00:00:00
2023-12-13T00:19:34.582970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:19:34.779662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

유효일수
Real number (ℝ)

Distinct115
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.98631927
Minimum0.53892
Maximum1.05545
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T00:19:35.005255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.53892
5-th percentile0.95411
Q10.9721
median1.00528
Q31.00528
95-th percentile1.00528
Maximum1.05545
Range0.51653
Interquartile range (IQR)0.03318

Descriptive statistics

Standard deviation0.043686229
Coefficient of variation (CV)0.044292179
Kurtosis36.572473
Mean0.98631927
Median Absolute Deviation (MAD)0
Skewness-5.211778
Sum9863.1927
Variance0.0019084866
MonotonicityNot monotonic
2023-12-13T00:19:35.231986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.00528 5277
52.8%
0.95411 1336
 
13.4%
0.9721 1327
 
13.3%
1.00518 1295
 
13.0%
0.99409 95
 
0.9%
0.99283 54
 
0.5%
0.95975 41
 
0.4%
1.00809 20
 
0.2%
0.90395 19
 
0.2%
0.93477 18
 
0.2%
Other values (105) 518
 
5.2%
ValueCountFrequency (%)
0.53892 4
 
< 0.1%
0.5566 1
 
< 0.1%
0.56134 1
 
< 0.1%
0.57102 3
 
< 0.1%
0.57111 12
0.1%
0.57586 1
 
< 0.1%
0.63217 1
 
< 0.1%
0.66088 5
 
0.1%
0.66427 5
 
0.1%
0.66436 13
0.1%
ValueCountFrequency (%)
1.05545 13
 
0.1%
1.05535 3
 
< 0.1%
1.03643 11
 
0.1%
1.03633 4
 
< 0.1%
1.02227 4
 
< 0.1%
1.01283 4
 
< 0.1%
1.01002 1
 
< 0.1%
1.00809 20
 
0.2%
1.00799 3
 
< 0.1%
1.00528 5277
52.8%

Interactions

2023-12-13T00:19:33.655184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:19:33.074705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:19:33.799487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:19:33.534586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:19:35.355590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번유효일수
순번1.0000.034
유효일수0.0341.000
2023-12-13T00:19:35.465834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번유효일수
순번1.0000.022
유효일수0.0221.000

Missing values

2023-12-13T00:19:34.007555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:19:34.110955image/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

순번연월일유효일수
861786182008-08-051.00528
558255832000-04-141.00528
746074612005-06-050.95411
977897792011-10-101.00518
11987119882017-10-271.00528
211521161990-10-171.00528
167016711989-07-290.9721
10588105892013-12-280.9721
11243112442015-10-141.00528
312631271993-07-240.9721
순번연월일유효일수
484648471998-04-091.00528
5355361986-06-201.00528
668966902003-04-260.9721
15001150022026-01-271.00528
282828291992-09-291.00528
203720381990-07-310.99409
172817291989-09-251.00518
15783157842028-03-190.95411
14172141732023-10-210.9721
579157922000-11-091.00528