Overview

Dataset statistics

Number of variables9
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory86.5 B

Variable types

Numeric9

Dataset

Description대한석탄공사의 3개 탄광에서 소비되는 전력량에 관한 정보(각 광업소별 연간 소비량, 생산톤당 소비량)를 기재한 데이터
Author대한석탄공사
URLhttps://www.data.go.kr/data/15045831/fileData.do

Alerts

연도 is highly overall correlated with 연간 전력소비량 합계(MWh) and 7 other fieldsHigh correlation
연간 전력소비량 합계(MWh) is highly overall correlated with 연도 and 6 other fieldsHigh correlation
생산톤당 평균 전력소비량(kWh) is highly overall correlated with 연도 and 6 other fieldsHigh correlation
장성광업소 연간 전력소비량(MWh) is highly overall correlated with 연도 and 3 other fieldsHigh correlation
장성광업소 생산톤당 전력소비량(kWh) is highly overall correlated with 연도 and 6 other fieldsHigh correlation
도계광업소 연간 전력소비량(MWh) is highly overall correlated with 연도 and 6 other fieldsHigh correlation
도계광업소 생산톤당 전력소비량(kWh) is highly overall correlated with 연도 and 3 other fieldsHigh correlation
화순광업소 연간 전력소비량(MWh) is highly overall correlated with 연도 and 5 other fieldsHigh correlation
화순광업소 생산톤당 전력소비량(kWh) is highly overall correlated with 연도 and 5 other fieldsHigh correlation
연도 has unique valuesUnique
연간 전력소비량 합계(MWh) has unique valuesUnique
생산톤당 평균 전력소비량(kWh) has unique valuesUnique
장성광업소 연간 전력소비량(MWh) has unique valuesUnique
장성광업소 생산톤당 전력소비량(kWh) has unique valuesUnique
도계광업소 연간 전력소비량(MWh) has unique valuesUnique
도계광업소 생산톤당 전력소비량(kWh) has unique valuesUnique
화순광업소 연간 전력소비량(MWh) has unique valuesUnique
화순광업소 생산톤당 전력소비량(kWh) has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:45:38.058584
Analysis finished2024-04-06 08:46:01.751377
Duration23.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2011.5
Minimum2000
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:46:01.910730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000
5-th percentile2001.15
Q12005.75
median2011.5
Q32017.25
95-th percentile2021.85
Maximum2023
Range23
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation7.0710678
Coefficient of variation (CV)0.0035153208
Kurtosis-1.2
Mean2011.5
Median Absolute Deviation (MAD)6
Skewness0
Sum48276
Variance50
MonotonicityStrictly increasing
2024-04-06T17:46:02.204531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
2000 1
 
4.2%
2013 1
 
4.2%
2023 1
 
4.2%
2022 1
 
4.2%
2021 1
 
4.2%
2020 1
 
4.2%
2019 1
 
4.2%
2018 1
 
4.2%
2017 1
 
4.2%
2016 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
2000 1
4.2%
2001 1
4.2%
2002 1
4.2%
2003 1
4.2%
2004 1
4.2%
2005 1
4.2%
2006 1
4.2%
2007 1
4.2%
2008 1
4.2%
2009 1
4.2%
ValueCountFrequency (%)
2023 1
4.2%
2022 1
4.2%
2021 1
4.2%
2020 1
4.2%
2019 1
4.2%
2018 1
4.2%
2017 1
4.2%
2016 1
4.2%
2015 1
4.2%
2014 1
4.2%

연간 전력소비량 합계(MWh)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95454
Minimum46581
Maximum113939
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:46:02.554209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46581
5-th percentile67011.8
Q195849
median99548.5
Q3102712.75
95-th percentile106740.45
Maximum113939
Range67358
Interquartile range (IQR)6863.75

Descriptive statistics

Standard deviation14405.709
Coefficient of variation (CV)0.15091782
Kurtosis5.524696
Mean95454
Median Absolute Deviation (MAD)3739
Skewness-2.2263761
Sum2290896
Variance2.0752446 × 108
MonotonicityNot monotonic
2024-04-06T17:46:03.004183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
103495 1
 
4.2%
98502 1
 
4.2%
65429 1
 
4.2%
46581 1
 
4.2%
75981 1
 
4.2%
91858 1
 
4.2%
86174 1
 
4.2%
96017 1
 
4.2%
98470 1
 
4.2%
101313 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
46581 1
4.2%
65429 1
4.2%
75981 1
4.2%
86174 1
4.2%
91858 1
4.2%
95345 1
4.2%
96017 1
4.2%
97130 1
4.2%
97278 1
4.2%
97343 1
4.2%
ValueCountFrequency (%)
113939 1
4.2%
107148 1
4.2%
104431 1
4.2%
104241 1
4.2%
103545 1
4.2%
103495 1
4.2%
102452 1
4.2%
101905 1
4.2%
101313 1
4.2%
101109 1
4.2%

생산톤당 평균 전력소비량(kWh)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.50292
Minimum70.12
Maximum351.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:46:03.389689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70.12
5-th percentile73.3775
Q178.125
median93.405
Q3117.7625
95-th percentile192.94
Maximum351.9
Range281.78
Interquartile range (IQR)39.6375

Descriptive statistics

Standard deviation62.057583
Coefficient of variation (CV)0.54197382
Kurtosis9.0366165
Mean114.50292
Median Absolute Deviation (MAD)15.575
Skewness2.760665
Sum2748.07
Variance3851.1436
MonotonicityNot monotonic
2024-04-06T17:46:03.693734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
70.12 1
 
4.2%
88.8 1
 
4.2%
351.9 1
 
4.2%
145.7 1
 
4.2%
190.9 1
 
4.2%
193.3 1
 
4.2%
159.5 1
 
4.2%
147.7 1
 
4.2%
108.45 1
 
4.2%
99.49 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
70.12 1
4.2%
73.25 1
4.2%
74.1 1
4.2%
74.4 1
4.2%
74.7 1
4.2%
77.3 1
4.2%
78.4 1
4.2%
85.92 1
4.2%
88.8 1
4.2%
89.81 1
4.2%
ValueCountFrequency (%)
351.9 1
4.2%
193.3 1
4.2%
190.9 1
4.2%
159.5 1
4.2%
147.7 1
4.2%
145.7 1
4.2%
108.45 1
4.2%
99.49 1
4.2%
97.1 1
4.2%
95.34 1
4.2%

장성광업소 연간 전력소비량(MWh)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52743.125
Minimum32892
Maximum60890
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:46:04.016842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32892
5-th percentile36282.2
Q152691.75
median55503
Q356539.25
95-th percentile59104.9
Maximum60890
Range27998
Interquartile range (IQR)3847.5

Descriptive statistics

Standard deviation7261.3349
Coefficient of variation (CV)0.13767358
Kurtosis2.3228785
Mean52743.125
Median Absolute Deviation (MAD)2250.5
Skewness-1.7309315
Sum1265835
Variance52726984
MonotonicityNot monotonic
2024-04-06T17:46:04.345403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
54072 1
 
4.2%
55574 1
 
4.2%
32892 1
 
4.2%
35762 1
 
4.2%
39230 1
 
4.2%
48666 1
 
4.2%
46171 1
 
4.2%
53131 1
 
4.2%
55432 1
 
4.2%
56115 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
32892 1
4.2%
35762 1
4.2%
39230 1
4.2%
46171 1
4.2%
48666 1
4.2%
51956 1
4.2%
52937 1
4.2%
53131 1
4.2%
53708 1
4.2%
54072 1
4.2%
ValueCountFrequency (%)
60890 1
4.2%
59236 1
4.2%
58362 1
4.2%
57899 1
4.2%
57632 1
4.2%
57158 1
4.2%
56333 1
4.2%
56115 1
4.2%
56083 1
4.2%
55894 1
4.2%

장성광업소 생산톤당 전력소비량(kWh)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.38375
Minimum74.79
Maximum488.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:46:04.675943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74.79
5-th percentile76.763
Q189.6
median100.95
Q3151.375
95-th percentile272.76
Maximum488.7
Range413.91
Interquartile range (IQR)61.775

Descriptive statistics

Standard deviation94.002047
Coefficient of variation (CV)0.66487165
Kurtosis7.5742584
Mean141.38375
Median Absolute Deviation (MAD)14.965
Skewness2.5523776
Sum3393.21
Variance8836.3848
MonotonicityNot monotonic
2024-04-06T17:46:05.042973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
74.79 1
 
4.2%
98.3 1
 
4.2%
488.7 1
 
4.2%
277.8 1
 
4.2%
239.2 1
 
4.2%
244.2 1
 
4.2%
188.5 1
 
4.2%
195.3 1
 
4.2%
139.0 1
 
4.2%
119.54 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
74.79 1
4.2%
75.68 1
4.2%
82.9 1
4.2%
86.6 1
4.2%
86.9 1
4.2%
88.7 1
4.2%
89.9 1
4.2%
91.31 1
4.2%
93.39 1
4.2%
97.58 1
4.2%
ValueCountFrequency (%)
488.7 1
4.2%
277.8 1
4.2%
244.2 1
4.2%
239.2 1
4.2%
195.3 1
4.2%
188.5 1
4.2%
139.0 1
4.2%
119.54 1
4.2%
116.53 1
4.2%
109.5 1
4.2%

도계광업소 연간 전력소비량(MWh)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27527.458
Minimum21346
Maximum34372
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:46:05.412753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21346
5-th percentile22832.85
Q126656
median27389.5
Q328389.75
95-th percentile31453.25
Maximum34372
Range13026
Interquartile range (IQR)1733.75

Descriptive statistics

Standard deviation2669.4555
Coefficient of variation (CV)0.096974281
Kurtosis1.9096339
Mean27527.458
Median Absolute Deviation (MAD)921
Skewness0.11861882
Sum660659
Variance7125992.5
MonotonicityNot monotonic
2024-04-06T17:46:05.843612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
30129 1
 
4.2%
25932 1
 
4.2%
21346 1
 
4.2%
22509 1
 
4.2%
24668 1
 
4.2%
27284 1
 
4.2%
26539 1
 
4.2%
27168 1
 
4.2%
27133 1
 
4.2%
27703 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
21346 1
4.2%
22509 1
4.2%
24668 1
4.2%
25854 1
4.2%
25932 1
4.2%
26539 1
4.2%
26695 1
4.2%
27124 1
4.2%
27133 1
4.2%
27168 1
4.2%
ValueCountFrequency (%)
34372 1
4.2%
31562 1
4.2%
30837 1
4.2%
30129 1
4.2%
28724 1
4.2%
28590 1
4.2%
28323 1
4.2%
28298 1
4.2%
27703 1
4.2%
27638 1
4.2%

도계광업소 생산톤당 전력소비량(kWh)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.37542
Minimum61.4
Maximum215.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:46:06.237075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.4
5-th percentile62.035
Q179.6675
median88.665
Q3106.245
95-th percentile172.825
Maximum215.6
Range154.2
Interquartile range (IQR)26.5775

Descriptive statistics

Standard deviation38.458655
Coefficient of variation (CV)0.37936865
Kurtosis2.3767232
Mean101.37542
Median Absolute Deviation (MAD)14.575
Skewness1.6076596
Sum2433.01
Variance1479.0682
MonotonicityNot monotonic
2024-04-06T17:46:06.656168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
75.32 1
 
4.2%
84.6 1
 
4.2%
215.6 1
 
4.2%
175.9 1
 
4.2%
155.4 1
 
4.2%
148.0 1
 
4.2%
136.1 1
 
4.2%
110.4 1
 
4.2%
87.53 1
 
4.2%
81.96 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
61.4 1
4.2%
61.6 1
4.2%
64.5 1
4.2%
69.7 1
4.2%
75.32 1
4.2%
76.3 1
4.2%
80.79 1
4.2%
81.96 1
4.2%
84.6 1
4.2%
85.0 1
4.2%
ValueCountFrequency (%)
215.6 1
4.2%
175.9 1
4.2%
155.4 1
4.2%
148.0 1
4.2%
136.1 1
4.2%
110.4 1
4.2%
104.86 1
4.2%
104.47 1
4.2%
95.18 1
4.2%
92.3 1
4.2%

화순광업소 연간 전력소비량(MWh)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16121.292
Minimum10819
Maximum19294
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:46:07.005157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10819
5-th percentile11324.8
Q115716.75
median16436.5
Q317543
95-th percentile18584.3
Maximum19294
Range8475
Interquartile range (IQR)1826.25

Descriptive statistics

Standard deviation2199.6847
Coefficient of variation (CV)0.13644593
Kurtosis1.1165442
Mean16121.292
Median Absolute Deviation (MAD)959.5
Skewness-1.2370308
Sum386911
Variance4838612.7
MonotonicityNot monotonic
2024-04-06T17:46:07.278690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
19294 1
 
4.2%
16996 1
 
4.2%
11191 1
 
4.2%
10819 1
 
4.2%
12083 1
 
4.2%
15908 1
 
4.2%
13464 1
 
4.2%
15718 1
 
4.2%
15905 1
 
4.2%
17495 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
10819 1
4.2%
11191 1
4.2%
12083 1
4.2%
13464 1
4.2%
15402 1
4.2%
15713 1
4.2%
15718 1
4.2%
15905 1
4.2%
15908 1
4.2%
16371 1
4.2%
ValueCountFrequency (%)
19294 1
4.2%
18677 1
4.2%
18059 1
4.2%
17934 1
4.2%
17799 1
4.2%
17687 1
4.2%
17495 1
4.2%
17321 1
4.2%
16996 1
4.2%
16935 1
4.2%

화순광업소 생산톤당 전력소비량(kWh)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.3925
Minimum54.47
Maximum569.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:46:07.567867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54.47
5-th percentile55.131
Q164.45
median72.825
Q389.655
95-th percentile173.23
Maximum569.6
Range515.13
Interquartile range (IQR)25.205

Descriptive statistics

Standard deviation105.25444
Coefficient of variation (CV)0.98930315
Kurtosis17.789196
Mean106.3925
Median Absolute Deviation (MAD)8.525
Skewness4.0273787
Sum2553.42
Variance11078.496
MonotonicityNot monotonic
2024-04-06T17:46:07.992756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
54.66 1
 
4.2%
71.6 1
 
4.2%
569.6 1
 
4.2%
171.7 1
 
4.2%
160.7 1
 
4.2%
173.5 1
 
4.2%
134.6 1
 
4.2%
119.1 1
 
4.2%
79.84 1
 
4.2%
78.21 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
54.47 1
4.2%
54.66 1
4.2%
57.8 1
4.2%
62.1 1
4.2%
62.99 1
4.2%
64.0 1
4.2%
64.6 1
4.2%
65.03 1
4.2%
67.67 1
4.2%
68.4 1
4.2%
ValueCountFrequency (%)
569.6 1
4.2%
173.5 1
4.2%
171.7 1
4.2%
160.7 1
4.2%
134.6 1
4.2%
119.1 1
4.2%
79.84 1
4.2%
78.21 1
4.2%
77.8 1
4.2%
75.4 1
4.2%

Interactions

2024-04-06T17:45:58.254327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:38.681405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:41.088037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:44.019312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:46.365890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:49.084042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:51.351701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:53.799028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:56.217965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:58.459290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:38.919695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:41.363805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:44.231727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:46.654520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:49.333270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:51.594541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:54.061816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:56.484073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:58.787400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:39.172124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:41.599237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:44.455007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:46.967067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:49.718037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:51.925631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:54.366559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:56.709464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:59.020000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:39.514870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:41.862128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:44.686038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:47.235327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:49.927938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:52.195735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:54.645910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:56.955094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:59.251878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:39.790799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:42.117281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:44.950659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:47.498638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:50.160377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:52.481054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:54.952594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:57.164243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:59.466554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:40.040482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:42.349709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:45.314029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:47.766544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:50.378834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:52.734167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:55.187762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:57.361143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:59.697834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:40.320242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:43.278672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:45.586376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:48.089931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:50.623290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:52.988233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:55.434945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:57.588806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:59.979244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:40.563702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:43.547270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:45.868049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:48.563933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:50.885747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:53.266549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:55.717112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:57.846270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:46:00.780592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:40.857671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:43.780807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:46.125021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:48.805652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:51.115081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:53.555733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:55.958089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:45:58.042775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:46:08.260610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도연간 전력소비량 합계(MWh)생산톤당 평균 전력소비량(kWh)장성광업소 연간 전력소비량(MWh)장성광업소 생산톤당 전력소비량(kWh)도계광업소 연간 전력소비량(MWh)도계광업소 생산톤당 전력소비량(kWh)화순광업소 연간 전력소비량(MWh)화순광업소 생산톤당 전력소비량(kWh)
연도1.0000.6070.3030.5380.4410.3410.7250.1870.552
연간 전력소비량 합계(MWh)0.6071.0000.8440.9040.8970.7590.9230.8820.916
생산톤당 평균 전력소비량(kWh)0.3030.8441.0000.8380.9760.4340.9730.8170.981
장성광업소 연간 전력소비량(MWh)0.5380.9040.8381.0000.8320.8620.9640.8870.864
장성광업소 생산톤당 전력소비량(kWh)0.4410.8970.9760.8321.0000.6370.9790.8171.000
도계광업소 연간 전력소비량(MWh)0.3410.7590.4340.8620.6371.0000.8860.8810.495
도계광업소 생산톤당 전력소비량(kWh)0.7250.9230.9730.9640.9790.8861.0000.9321.000
화순광업소 연간 전력소비량(MWh)0.1870.8820.8170.8870.8170.8810.9321.0000.972
화순광업소 생산톤당 전력소비량(kWh)0.5520.9160.9810.8641.0000.4951.0000.9721.000
2024-04-06T17:46:08.671014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도연간 전력소비량 합계(MWh)생산톤당 평균 전력소비량(kWh)장성광업소 연간 전력소비량(MWh)장성광업소 생산톤당 전력소비량(kWh)도계광업소 연간 전력소비량(MWh)도계광업소 생산톤당 전력소비량(kWh)화순광업소 연간 전력소비량(MWh)화순광업소 생산톤당 전력소비량(kWh)
연도1.000-0.6990.885-0.5530.923-0.8030.563-0.6760.933
연간 전력소비량 합계(MWh)-0.6991.000-0.5110.922-0.5380.773-0.3850.875-0.516
생산톤당 평균 전력소비량(kWh)0.885-0.5111.000-0.4290.981-0.5770.790-0.5400.942
장성광업소 연간 전력소비량(MWh)-0.5530.922-0.4291.000-0.4430.621-0.4410.727-0.416
장성광업소 생산톤당 전력소비량(kWh)0.923-0.5380.981-0.4431.000-0.6370.762-0.5500.953
도계광업소 연간 전력소비량(MWh)-0.8030.773-0.5770.621-0.6371.000-0.3100.693-0.624
도계광업소 생산톤당 전력소비량(kWh)0.563-0.3850.790-0.4410.762-0.3101.000-0.3930.707
화순광업소 연간 전력소비량(MWh)-0.6760.875-0.5400.727-0.5500.693-0.3931.000-0.484
화순광업소 생산톤당 전력소비량(kWh)0.933-0.5160.942-0.4160.953-0.6240.707-0.4841.000

Missing values

2024-04-06T17:46:01.144128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:46:01.599642image/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

연도연간 전력소비량 합계(MWh)생산톤당 평균 전력소비량(kWh)장성광업소 연간 전력소비량(MWh)장성광업소 생산톤당 전력소비량(kWh)도계광업소 연간 전력소비량(MWh)도계광업소 생산톤당 전력소비량(kWh)화순광업소 연간 전력소비량(MWh)화순광업소 생산톤당 전력소비량(kWh)
0200010349570.125407274.793012975.321929454.66
120019713073.255195675.682872485.111645054.47
2200210714889.815789993.3931562104.861768765.03
3200311393992.716089097.5834372104.471867767.67
4200410424185.925608391.313083795.181732162.99
520059534577.35293786.62669576.31571357.8
6200610110978.45558489.92859069.71693564.6
7200710245274.15715886.92749561.61779964.0
8200810059574.75763288.72756161.41540262.1
9200910061574.45589482.92829864.51642368.4
연도연간 전력소비량 합계(MWh)생산톤당 평균 전력소비량(kWh)장성광업소 연간 전력소비량(MWh)장성광업소 생산톤당 전력소비량(kWh)도계광업소 연간 전력소비량(MWh)도계광업소 생산톤당 전력소비량(kWh)화순광업소 연간 전력소비량(MWh)화순광업소 생산톤당 전력소비량(kWh)
1420149727895.1853708106.992717591.191639573.85
1520159734395.3455118116.532585480.791637171.8
16201610131399.4956115119.542770381.961749578.21
17201798470108.4555432139.02713387.531590579.84
18201896017147.753131195.327168110.415718119.1
19201986174159.546171188.526539136.113464134.6
20202091858193.348666244.227284148.015908173.5
21202175981190.939230239.224668155.412083160.7
22202246581145.735762277.822509175.910819171.7
23202365429351.932892488.721346215.611191569.6