Overview

Dataset statistics

Number of variables3
Number of observations82
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory28.6 B

Variable types

Numeric3

Dataset

Description한국가스공사의 연도별 월별 천연가스 생산량(톤)을 나타낸 자료로 2016년도 1월부터 2022년 10월까지의 생산량을 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15049906/fileData.do

Alerts

생산량(톤) has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:10:34.458777
Analysis finished2023-12-11 23:10:35.709975
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

Distinct7
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.9268
Minimum2016
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-12T08:10:35.748856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2016
5-th percentile2016
Q12017
median2019
Q32021
95-th percentile2022
Maximum2022
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.9800267
Coefficient of variation (CV)0.00098073229
Kurtosis-1.2249354
Mean2018.9268
Median Absolute Deviation (MAD)2
Skewness0.025659478
Sum165552
Variance3.9205059
MonotonicityIncreasing
2023-12-12T08:10:35.849511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2016 12
14.6%
2017 12
14.6%
2018 12
14.6%
2019 12
14.6%
2020 12
14.6%
2021 12
14.6%
2022 10
12.2%
ValueCountFrequency (%)
2016 12
14.6%
2017 12
14.6%
2018 12
14.6%
2019 12
14.6%
2020 12
14.6%
2021 12
14.6%
2022 10
12.2%
ValueCountFrequency (%)
2022 10
12.2%
2021 12
14.6%
2020 12
14.6%
2019 12
14.6%
2018 12
14.6%
2017 12
14.6%
2016 12
14.6%

월
Real number (ℝ)

Distinct12
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.3780488
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-12T08:10:35.947013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13.25
median6
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)5.75

Descriptive statistics

Standard deviation3.4233773
Coefficient of variation (CV)0.53674367
Kurtosis-1.1875883
Mean6.3780488
Median Absolute Deviation (MAD)3
Skewness0.028369953
Sum523
Variance11.719512
MonotonicityNot monotonic
2023-12-12T08:10:36.034784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 7
8.5%
2 7
8.5%
3 7
8.5%
4 7
8.5%
5 7
8.5%
6 7
8.5%
7 7
8.5%
8 7
8.5%
9 7
8.5%
10 7
8.5%
Other values (2) 12
14.6%
ValueCountFrequency (%)
1 7
8.5%
2 7
8.5%
3 7
8.5%
4 7
8.5%
5 7
8.5%
6 7
8.5%
7 7
8.5%
8 7
8.5%
9 7
8.5%
10 7
8.5%
ValueCountFrequency (%)
12 6
7.3%
11 6
7.3%
10 7
8.5%
9 7
8.5%
8 7
8.5%
7 7
8.5%
6 7
8.5%
5 7
8.5%
4 7
8.5%
3 7
8.5%

생산량(톤)
Real number (ℝ)

UNIQUE 

Distinct82
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3283608.8
Minimum1984946
Maximum5666333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-12T08:10:36.139920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1984946
5-th percentile2079773.7
Q12581310
median2969825
Q33839462.2
95-th percentile4949806.5
Maximum5666333
Range3681387
Interquartile range (IQR)1258152.3

Descriptive statistics

Standard deviation948020.92
Coefficient of variation (CV)0.28871312
Kurtosis-0.49291233
Mean3283608.8
Median Absolute Deviation (MAD)652419.5
Skewness0.67388892
Sum2.6925592 × 108
Variance8.9874367 × 1011
MonotonicityNot monotonic
2023-12-12T08:10:36.257003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4288593.0 1
 
1.2%
4141503.0 1
 
1.2%
5666333.0 1
 
1.2%
5243033.0 1
 
1.2%
3679463.0 1
 
1.2%
2949420.0 1
 
1.2%
2666938.0 1
 
1.2%
2812994.0 1
 
1.2%
2468908.0 1
 
1.2%
2291469.0 1
 
1.2%
Other values (72) 72
87.8%
ValueCountFrequency (%)
1984946.0 1
1.2%
1989360.0 1
1.2%
2046908.0 1
1.2%
2075409.0 1
1.2%
2076852.0 1
1.2%
2135286.0 1
1.2%
2157623.0 1
1.2%
2165280.0 1
1.2%
2171415.0 1
1.2%
2230415.0 1
1.2%
ValueCountFrequency (%)
5666333.0 1
1.2%
5337930.094 1
1.2%
5243033.0 1
1.2%
5237703.0 1
1.2%
4951454.0 1
1.2%
4918503.724 1
1.2%
4891471.0 1
1.2%
4853647.0 1
1.2%
4782757.0 1
1.2%
4763917.0 1
1.2%

Interactions

2023-12-12T08:10:35.339918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:10:34.829254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:10:35.098595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:10:35.429206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:10:34.926069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:10:35.174867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:10:35.509794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:10:35.013983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:10:35.245475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:10:36.347432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도월생산량(톤)
연도1.0000.0000.000
월0.0001.0000.784
생산량(톤)0.0000.7841.000
2023-12-12T08:10:36.432393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도월생산량(톤)
연도1.000-0.0540.302
월-0.0541.000-0.244
생산량(톤)0.302-0.2441.000

Missing values

2023-12-12T08:10:35.614033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:10:35.685239image/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

연도월생산량(톤)
0201614288593.0
1201623592400.0
2201633201669.0
3201642135286.0
4201651989360.0
5201662076852.0
6201672300665.0
7201682278564.0
8201692046908.0
92016102523673.0
연도월생산량(톤)
72202215337930.094
73202224727536.483
74202234510243.141
75202243280795.562
76202252918718.758
77202262877369.949
78202273175651.631
79202282885559.384
80202292575865.622
812022102932386.685