Overview

Dataset statistics

Number of variables18
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 MiB
Average record size in memory169.0 B

Variable types

DateTime1
Numeric16
Categorical1

Dataset

Description* 5분단위 전력수급현황 데이터 * 주파수, 공급능력, 현재부하, 공급예비력, 수급경보 등의 정보를 육지/제주로 구분하여 제공 * 대국민 전력수급현황 공유 시스템(EIS) 기반 자료
URLhttps://www.data.go.kr/data/15065125/fileData.do

Alerts

수급경보 has constant value ""Constant
공급능력 is highly overall correlated with 현재부하 and 4 other fieldsHigh correlation
현재부하 is highly overall correlated with 공급능력 and 7 other fieldsHigh correlation
공급예비력 is highly overall correlated with 현재부하 and 4 other fieldsHigh correlation
공급예비율 is highly overall correlated with 현재부하 and 6 other fieldsHigh correlation
운영예비력 is highly overall correlated with 운영예비율High correlation
운영예비율 is highly overall correlated with 현재부하 and 4 other fieldsHigh correlation
현재수요 is highly overall correlated with 공급능력 and 8 other fieldsHigh correlation
제주공급능력 is highly overall correlated with 공급능력 and 1 other fieldsHigh correlation
제주발전 is highly overall correlated with 공급능력 and 4 other fieldsHigh correlation
연계조류 is highly overall correlated with 제주수요 and 3 other fieldsHigh correlation
제주수요 is highly overall correlated with 공급능력 and 8 other fieldsHigh correlation
제주공급예비력 is highly overall correlated with 제주공급능력 and 3 other fieldsHigh correlation
제주공급예비율 is highly overall correlated with 현재부하 and 7 other fieldsHigh correlation
제주운영예비력 is highly overall correlated with 연계조류 and 3 other fieldsHigh correlation
제주운영예비율 is highly overall correlated with 현재수요 and 5 other fieldsHigh correlation
시간 has unique valuesUnique
현재부하 has unique valuesUnique
공급예비율 has unique valuesUnique
운영예비율 has unique valuesUnique
현재수요 has unique valuesUnique
제주발전 has unique valuesUnique
제주수요 has unique valuesUnique
제주공급예비력 has unique valuesUnique
제주공급예비율 has unique valuesUnique
제주운영예비율 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:49:43.342081
Analysis finished2023-12-12 12:50:20.945270
Duration37.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시간
Date

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2020-09-01 00:35:00
Maximum2021-02-19 20:00:00
2023-12-12T21:50:21.028957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:21.559318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

주파수
Real number (ℝ)

Distinct134
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.001257
Minimum59.928001
Maximum60.088001
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:50:21.737708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum59.928001
5-th percentile59.969002
Q159.986
median60.001999
Q360.016998
95-th percentile60.032001
Maximum60.088001
Range0.16
Interquartile range (IQR)0.030998

Descriptive statistics

Standard deviation0.019842471
Coefficient of variation (CV)0.00033070092
Kurtosis-0.39055824
Mean60.001257
Median Absolute Deviation (MAD)0.014999
Skewness-0.1067617
Sum600012.57
Variance0.00039372365
MonotonicityNot monotonic
2023-12-12T21:50:21.931546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60.016998 207
 
2.1%
60.014999 200
 
2.0%
60.019001 193
 
1.9%
60.018002 191
 
1.9%
60.009998 183
 
1.8%
60.02 179
 
1.8%
60.021 178
 
1.8%
60.015999 178
 
1.8%
59.997002 177
 
1.8%
60.014 177
 
1.8%
Other values (124) 8137
81.4%
ValueCountFrequency (%)
59.928001 1
 
< 0.1%
59.931 1
 
< 0.1%
59.932999 1
 
< 0.1%
59.935001 2
< 0.1%
59.936001 2
< 0.1%
59.937 3
< 0.1%
59.938 1
 
< 0.1%
59.938999 1
 
< 0.1%
59.939999 1
 
< 0.1%
59.941002 3
< 0.1%
ValueCountFrequency (%)
60.088001 1
 
< 0.1%
60.075001 1
 
< 0.1%
60.070999 1
 
< 0.1%
60.068001 1
 
< 0.1%
60.063999 1
 
< 0.1%
60.062 3
< 0.1%
60.061001 1
 
< 0.1%
60.060001 1
 
< 0.1%
60.058998 3
< 0.1%
60.057999 2
< 0.1%

공급능력
Real number (ℝ)

HIGH CORRELATION 

Distinct9980
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90974.26
Minimum80132.242
Maximum102497.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:50:22.124703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum80132.242
5-th percentile83552.19
Q186536.541
median90177.352
Q395926.557
95-th percentile99029.295
Maximum102497.33
Range22365.086
Interquartile range (IQR)9390.0156

Descriptive statistics

Standard deviation5201.8624
Coefficient of variation (CV)0.057179497
Kurtosis-1.2594258
Mean90974.26
Median Absolute Deviation (MAD)4546.293
Skewness0.15398987
Sum9.097426 × 108
Variance27059373
MonotonicityNot monotonic
2023-12-12T21:50:22.273519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90171.35938 2
 
< 0.1%
85603.75781 2
 
< 0.1%
99513.24219 2
 
< 0.1%
95748.22656 2
 
< 0.1%
87142.71094 2
 
< 0.1%
89922.77344 2
 
< 0.1%
96979.78125 2
 
< 0.1%
83209.71094 2
 
< 0.1%
85861.44531 2
 
< 0.1%
85932.09375 2
 
< 0.1%
Other values (9970) 9980
99.8%
ValueCountFrequency (%)
80132.24219 1
< 0.1%
80162.54688 1
< 0.1%
80197.42969 1
< 0.1%
80199.78125 1
< 0.1%
80243.17188 1
< 0.1%
80243.97656 1
< 0.1%
80247.33594 1
< 0.1%
80252.74219 1
< 0.1%
80257.36719 1
< 0.1%
80270.25781 1
< 0.1%
ValueCountFrequency (%)
102497.3281 1
< 0.1%
102395.75 1
< 0.1%
102362.6641 1
< 0.1%
102296.0625 1
< 0.1%
102167.1406 1
< 0.1%
102141.1172 1
< 0.1%
102126.1797 1
< 0.1%
102036.5703 1
< 0.1%
102003.9141 1
< 0.1%
102002.1406 1
< 0.1%

현재부하
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63984.107
Minimum40485.24
Maximum90889.986
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:50:22.421188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40485.24
5-th percentile49951.261
Q157136.006
median63466.846
Q369773.699
95-th percentile80118.422
Maximum90889.986
Range50404.746
Interquartile range (IQR)12637.693

Descriptive statistics

Standard deviation9077.2308
Coefficient of variation (CV)0.14186696
Kurtosis-0.30407236
Mean63984.107
Median Absolute Deviation (MAD)6328.7857
Skewness0.26679202
Sum6.3984107 × 108
Variance82396120
MonotonicityNot monotonic
2023-12-12T21:50:22.562204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65539.25838 1
 
< 0.1%
56381.32162 1
 
< 0.1%
66440.79695 1
 
< 0.1%
60972.77452 1
 
< 0.1%
74753.84072 1
 
< 0.1%
60922.85722 1
 
< 0.1%
74868.61174 1
 
< 0.1%
62795.8353 1
 
< 0.1%
59094.68373 1
 
< 0.1%
51230.81674 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
40485.23985 1
< 0.1%
40508.63775 1
< 0.1%
40558.76396 1
< 0.1%
40569.50053 1
< 0.1%
40752.98675 1
< 0.1%
40838.6876 1
< 0.1%
41409.42839 1
< 0.1%
41762.32575 1
< 0.1%
41841.44699 1
< 0.1%
41849.71862 1
< 0.1%
ValueCountFrequency (%)
90889.98556 1
< 0.1%
90632.38971 1
< 0.1%
90405.93406 1
< 0.1%
90275.00045 1
< 0.1%
90112.89731 1
< 0.1%
90059.25024 1
< 0.1%
90050.21671 1
< 0.1%
90001.6674 1
< 0.1%
89992.23543 1
< 0.1%
89940.19065 1
< 0.1%

공급예비력
Real number (ℝ)

HIGH CORRELATION 

Distinct9993
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26996.672
Minimum7008.6094
Maximum44225.986
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:50:22.712923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7008.6094
5-th percentile15805.928
Q121851.76
median27466.588
Q332069.277
95-th percentile37480.7
Maximum44225.986
Range37217.377
Interquartile range (IQR)10217.518

Descriptive statistics

Standard deviation6753.0965
Coefficient of variation (CV)0.25014551
Kurtosis-0.58879027
Mean26996.672
Median Absolute Deviation (MAD)5060.4844
Skewness-0.16723922
Sum2.6996672 × 108
Variance45604312
MonotonicityNot monotonic
2023-12-12T21:50:22.857174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26346.21875 2
 
< 0.1%
17100.33594 2
 
< 0.1%
21850.66406 2
 
< 0.1%
29912.40625 2
 
< 0.1%
30926.15625 2
 
< 0.1%
31603.86719 2
 
< 0.1%
21904.16406 2
 
< 0.1%
22079.42969 1
 
< 0.1%
30614.12109 1
 
< 0.1%
31263.44922 1
 
< 0.1%
Other values (9983) 9983
99.8%
ValueCountFrequency (%)
7008.609375 1
< 0.1%
7512.820312 1
< 0.1%
7606.828125 1
< 0.1%
7862.835938 1
< 0.1%
7906.164062 1
< 0.1%
7982.460938 1
< 0.1%
7993.46875 1
< 0.1%
8040.5625 1
< 0.1%
8054.304688 1
< 0.1%
8073.546875 1
< 0.1%
ValueCountFrequency (%)
44225.98605 1
< 0.1%
43839.70825 1
< 0.1%
43754.87764 1
< 0.1%
43751.19141 1
< 0.1%
43729.19859 1
< 0.1%
43638.90853 1
< 0.1%
43588.26402 1
< 0.1%
43579.14589 1
< 0.1%
43542.13026 1
< 0.1%
43518.91406 1
< 0.1%

공급예비율
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.307645
Minimum7.7775874
Maximum104.69401
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:50:23.007914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.7775874
5-th percentile20.412002
Q131.365213
median43.518143
Q355.290294
95-th percentile72.430164
Maximum104.69401
Range96.91642
Interquartile range (IQR)23.925081

Descriptive statistics

Standard deviation16.340212
Coefficient of variation (CV)0.36878989
Kurtosis-0.096477229
Mean44.307645
Median Absolute Deviation (MAD)11.961461
Skewness0.4183973
Sum443076.45
Variance267.00251
MonotonicityNot monotonic
2023-12-12T21:50:23.178357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.68886105 1
 
< 0.1%
53.88957793 1
 
< 0.1%
43.79467524 1
 
< 0.1%
40.874224 1
 
< 0.1%
28.88194398 1
 
< 0.1%
46.90157134 1
 
< 0.1%
28.20711964 1
 
< 0.1%
36.29920761 1
 
< 0.1%
40.67775493 1
 
< 0.1%
56.55682514 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
7.777587431 1
< 0.1%
8.360264565 1
< 0.1%
8.369269814 1
< 0.1%
8.736322521 1
< 0.1%
8.799555107 1
< 0.1%
8.841752296 1
< 0.1%
8.863565838 1
< 0.1%
8.908015005 1
< 0.1%
8.939899329 1
< 0.1%
8.988032193 1
< 0.1%
ValueCountFrequency (%)
104.6940075 1
< 0.1%
103.0917672 1
< 0.1%
103.0207749 1
< 0.1%
102.6181093 1
< 0.1%
102.1731099 1
< 0.1%
101.7235833 1
< 0.1%
101.538666 1
< 0.1%
101.5080603 1
< 0.1%
100.9897343 1
< 0.1%
100.7779408 1
< 0.1%

운영예비력
Real number (ℝ)

HIGH CORRELATION 

Distinct9992
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10373.816
Minimum5765.0825
Maximum16573.387
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:50:23.313439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5765.0825
5-th percentile8261.7855
Q19386.9846
median10214.266
Q311181.03
95-th percentile13025.451
Maximum16573.387
Range10808.304
Interquartile range (IQR)1794.0457

Descriptive statistics

Standard deviation1437.9275
Coefficient of variation (CV)0.13861125
Kurtosis0.75416207
Mean10373.816
Median Absolute Deviation (MAD)890.8833
Skewness0.63349037
Sum1.0373816 × 108
Variance2067635.6
MonotonicityNot monotonic
2023-12-12T21:50:23.463471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11181.7334 2
 
< 0.1%
10000.1084 2
 
< 0.1%
10207.4541 2
 
< 0.1%
9540.373047 2
 
< 0.1%
8413.282227 2
 
< 0.1%
9518.00293 2
 
< 0.1%
10887.61523 2
 
< 0.1%
10854.4375 2
 
< 0.1%
12739.82031 1
 
< 0.1%
9288.744141 1
 
< 0.1%
Other values (9982) 9982
99.8%
ValueCountFrequency (%)
5765.08252 1
< 0.1%
5949.163086 1
< 0.1%
6281.632812 1
< 0.1%
6581.786621 1
< 0.1%
6589.181641 1
< 0.1%
6593.916992 1
< 0.1%
6608.179688 1
< 0.1%
6642.37793 1
< 0.1%
6698.23877 1
< 0.1%
6702.977539 1
< 0.1%
ValueCountFrequency (%)
16573.38672 1
< 0.1%
16496.36914 1
< 0.1%
16481.94531 1
< 0.1%
16450.38867 1
< 0.1%
16240.53125 1
< 0.1%
16148.61133 1
< 0.1%
16057.07227 1
< 0.1%
16004.47656 1
< 0.1%
15901.79981 1
< 0.1%
15865.30078 1
< 0.1%

운영예비율
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.429492
Minimum7.4886151
Maximum29.114796
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:50:23.589632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.4886151
5-th percentile12.250013
Q114.694956
median16.381996
Q318.134127
95-th percentile20.711609
Maximum29.114796
Range21.626181
Interquartile range (IQR)3.4391712

Descriptive statistics

Standard deviation2.5720577
Coefficient of variation (CV)0.15655127
Kurtosis0.19830719
Mean16.429492
Median Absolute Deviation (MAD)1.7249701
Skewness0.15701311
Sum164294.92
Variance6.615481
MonotonicityNot monotonic
2023-12-12T21:50:23.717555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.77691972 1
 
< 0.1%
17.8341542 1
 
< 0.1%
14.48068721 1
 
< 0.1%
16.10815153 1
 
< 0.1%
15.66888033 1
 
< 0.1%
15.24673097 1
 
< 0.1%
18.14995865 1
 
< 0.1%
14.24522994 1
 
< 0.1%
17.55705006 1
 
< 0.1%
16.51342195 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
7.48861507 1
< 0.1%
7.593818467 1
< 0.1%
7.728474137 1
< 0.1%
7.820488897 1
< 0.1%
8.436906044 1
< 0.1%
8.673367672 1
< 0.1%
8.779884693 1
< 0.1%
8.895214325 1
< 0.1%
9.035727346 1
< 0.1%
9.072765945 1
< 0.1%
ValueCountFrequency (%)
29.11479558 1
< 0.1%
29.0244937 1
< 0.1%
28.85512264 1
< 0.1%
28.22809653 1
< 0.1%
27.95885602 1
< 0.1%
27.20774901 1
< 0.1%
26.97412531 1
< 0.1%
26.43119415 1
< 0.1%
25.74511755 1
< 0.1%
25.53573968 1
< 0.1%

현재수요
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63481.905
Minimum39067.296
Maximum90889.986
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:50:23.845064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39067.296
5-th percentile49068.608
Q156512.045
median63001.65
Q369368.683
95-th percentile80104.858
Maximum90889.986
Range51822.689
Interquartile range (IQR)12856.639

Descriptive statistics

Standard deviation9329.9788
Coefficient of variation (CV)0.14697068
Kurtosis-0.31210588
Mean63481.905
Median Absolute Deviation (MAD)6446.7925
Skewness0.25846787
Sum6.3481905 × 108
Variance87048504
MonotonicityNot monotonic
2023-12-12T21:50:23.966097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65537.29908 1
 
< 0.1%
55416.7021 1
 
< 0.1%
66438.58048 1
 
< 0.1%
60968.48971 1
 
< 0.1%
74749.66496 1
 
< 0.1%
60918.63344 1
 
< 0.1%
73238.85213 1
 
< 0.1%
62788.81495 1
 
< 0.1%
58201.69438 1
 
< 0.1%
51226.71503 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
39067.29611 1
< 0.1%
39142.32428 1
< 0.1%
39151.43196 1
< 0.1%
39334.1534 1
< 0.1%
39343.29192 1
< 0.1%
39727.71665 1
< 0.1%
39880.48415 1
< 0.1%
39925.81491 1
< 0.1%
39936.22059 1
< 0.1%
40282.43535 1
< 0.1%
ValueCountFrequency (%)
90889.98555 1
< 0.1%
90632.3897 1
< 0.1%
90405.93404 1
< 0.1%
90272.85153 1
< 0.1%
90112.89729 1
< 0.1%
90055.19655 1
< 0.1%
90048.06779 1
< 0.1%
90001.66087 1
< 0.1%
89990.26961 1
< 0.1%
89938.16378 1
< 0.1%

제주공급능력
Real number (ℝ)

HIGH CORRELATION 

Distinct9953
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1197.9818
Minimum733.25696
Maximum1547.3741
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:50:24.074874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum733.25696
5-th percentile969.39844
Q11089.6117
median1216.2017
Q31295.4494
95-th percentile1419.775
Maximum1547.3741
Range814.11719
Interquartile range (IQR)205.83771

Descriptive statistics

Standard deviation139.06559
Coefficient of variation (CV)0.11608322
Kurtosis-0.60368505
Mean1197.9818
Median Absolute Deviation (MAD)104.3739
Skewness-0.11140542
Sum11979818
Variance19339.237
MonotonicityNot monotonic
2023-12-12T21:50:24.192054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
952.415771 9
 
0.1%
1258.155029 7
 
0.1%
1289.740723 7
 
0.1%
1088.414307 6
 
0.1%
1154.247192 5
 
0.1%
1116.513306 3
 
< 0.1%
947.415771 2
 
< 0.1%
1263.911499 2
 
< 0.1%
1213.469971 2
 
< 0.1%
1136.896973 2
 
< 0.1%
Other values (9943) 9955
99.6%
ValueCountFrequency (%)
733.256958 1
< 0.1%
734.669983 1
< 0.1%
744.365662 1
< 0.1%
744.599487 1
< 0.1%
744.758118 1
< 0.1%
745.160217 1
< 0.1%
748.493774 1
< 0.1%
749.871582 1
< 0.1%
751.107727 1
< 0.1%
753.984802 1
< 0.1%
ValueCountFrequency (%)
1547.374146 1
< 0.1%
1546.687256 1
< 0.1%
1542.859375 1
< 0.1%
1538.609863 1
< 0.1%
1538.15625 1
< 0.1%
1536.923584 1
< 0.1%
1536.034668 1
< 0.1%
1534.556641 1
< 0.1%
1534.205078 1
< 0.1%
1531.813477 1
< 0.1%

제주발전
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean458.22179
Minimum235.26593
Maximum805.85151
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:50:24.307571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum235.26593
5-th percentile326.54004
Q1404.65412
median455.82971
Q3511.30154
95-th percentile592.09502
Maximum805.85151
Range570.58557
Interquartile range (IQR)106.64742

Descriptive statistics

Standard deviation79.678118
Coefficient of variation (CV)0.17388548
Kurtosis-0.048972297
Mean458.22179
Median Absolute Deviation (MAD)53.065268
Skewness0.12787319
Sum4582217.9
Variance6348.6025
MonotonicityNot monotonic
2023-12-12T21:50:24.445782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
532.886568 1
 
< 0.1%
335.221143 1
 
< 0.1%
524.620482 1
 
< 0.1%
378.53314 1
 
< 0.1%
548.101259 1
 
< 0.1%
462.401712 1
 
< 0.1%
557.532186 1
 
< 0.1%
434.005405 1
 
< 0.1%
358.649581 1
 
< 0.1%
325.235405 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
235.265934 1
< 0.1%
237.885418 1
< 0.1%
238.359842 1
< 0.1%
239.611938 1
< 0.1%
239.674802 1
< 0.1%
242.587001 1
< 0.1%
245.518411 1
< 0.1%
246.077622 1
< 0.1%
246.080963 1
< 0.1%
246.206053 1
< 0.1%
ValueCountFrequency (%)
805.851507 1
< 0.1%
786.556274 1
< 0.1%
777.192948 1
< 0.1%
774.21774 1
< 0.1%
774.016685 1
< 0.1%
770.580459 1
< 0.1%
769.253658 1
< 0.1%
762.806636 1
< 0.1%
761.555971 1
< 0.1%
752.774302 1
< 0.1%

연계조류
Real number (ℝ)

HIGH CORRELATION 

Distinct9898
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.9286
Minimum38.340521
Maximum411.67612
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:50:24.583123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38.340521
5-th percentile93.963504
Q1138.73444
median185.32706
Q3245.63852
95-th percentile325.97263
Maximum411.67612
Range373.3356
Interquartile range (IQR)106.90407

Descriptive statistics

Standard deviation70.533827
Coefficient of variation (CV)0.36184443
Kurtosis-0.74324324
Mean194.9286
Median Absolute Deviation (MAD)52.399059
Skewness0.33503982
Sum1949286
Variance4975.0207
MonotonicityNot monotonic
2023-12-12T21:50:24.701698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
149.260403 3
 
< 0.1%
171.286469 3
 
< 0.1%
221.824383 3
 
< 0.1%
234.642151 3
 
< 0.1%
165.262118 2
 
< 0.1%
184.770752 2
 
< 0.1%
182.801949 2
 
< 0.1%
118.928429 2
 
< 0.1%
191.277065 2
 
< 0.1%
151.89061 2
 
< 0.1%
Other values (9888) 9976
99.8%
ValueCountFrequency (%)
38.340521 1
< 0.1%
38.945521 1
< 0.1%
39.33518 1
< 0.1%
42.524242 1
< 0.1%
42.698563 1
< 0.1%
42.708818 1
< 0.1%
42.76009 1
< 0.1%
42.88314 1
< 0.1%
44.595594 1
< 0.1%
45.190336 1
< 0.1%
ValueCountFrequency (%)
411.676124 1
< 0.1%
406.118343 1
< 0.1%
360.061486 1
< 0.1%
359.497516 1
< 0.1%
358.57977 1
< 0.1%
356.13926 1
< 0.1%
355.616299 1
< 0.1%
355.308674 1
< 0.1%
354.016628 1
< 0.1%
353.60133 1
< 0.1%

제주수요
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean653.15039
Minimum411.28525
Maximum998.47508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:50:24.812359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum411.28525
5-th percentile491.51256
Q1568.02312
median645.78179
Q3729.17498
95-th percentile847.42868
Maximum998.47508
Range587.18984
Interquartile range (IQR)161.15186

Descriptive statistics

Standard deviation109.72645
Coefficient of variation (CV)0.16799569
Kurtosis-0.51572457
Mean653.15039
Median Absolute Deviation (MAD)80.902832
Skewness0.34691118
Sum6531503.9
Variance12039.894
MonotonicityNot monotonic
2023-12-12T21:50:24.930156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
628.378976 1
 
< 0.1%
554.543492 1
 
< 0.1%
818.624305 1
 
< 0.1%
525.563255 1
 
< 0.1%
675.463778 1
 
< 0.1%
596.470496 1
 
< 0.1%
822.567838 1
 
< 0.1%
526.683032 1
 
< 0.1%
523.291308 1
 
< 0.1%
540.004886 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
411.285247 1
< 0.1%
412.325719 1
< 0.1%
427.149318 1
< 0.1%
428.194972 1
< 0.1%
433.1132 1
< 0.1%
436.237092 1
< 0.1%
436.607848 1
< 0.1%
437.290969 1
< 0.1%
439.06317 1
< 0.1%
439.914659 1
< 0.1%
ValueCountFrequency (%)
998.475082 1
< 0.1%
989.955136 1
< 0.1%
982.256804 1
< 0.1%
980.655543 1
< 0.1%
980.015581 1
< 0.1%
974.440561 1
< 0.1%
972.580901 1
< 0.1%
971.696749 1
< 0.1%
966.059385 1
< 0.1%
964.514951 1
< 0.1%

제주공급예비력
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean544.83139
Minimum97.600095
Maximum976.49444
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:50:25.060867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97.600095
5-th percentile329.09334
Q1457.82687
median539.47046
Q3627.76365
95-th percentile773.21625
Maximum976.49444
Range878.89434
Interquartile range (IQR)169.93678

Descriptive statistics

Standard deviation132.34969
Coefficient of variation (CV)0.24291861
Kurtosis0.044378901
Mean544.83139
Median Absolute Deviation (MAD)84.653611
Skewness0.178404
Sum5448313.9
Variance17516.439
MonotonicityNot monotonic
2023-12-12T21:50:25.186308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
556.164725 1
 
< 0.1%
488.405483 1
 
< 0.1%
308.63485 1
 
< 0.1%
684.302468 1
 
< 0.1%
801.764616 1
 
< 0.1%
754.244836 1
 
< 0.1%
635.448031 1
 
< 0.1%
583.41499 1
 
< 0.1%
664.62837 1
 
< 0.1%
682.14526 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
97.600095 1
< 0.1%
103.083495 1
< 0.1%
107.071967 1
< 0.1%
172.854399 1
< 0.1%
174.209353 1
< 0.1%
183.067507 1
< 0.1%
185.581996 1
< 0.1%
193.271474 1
< 0.1%
194.892094 1
< 0.1%
195.120014 1
< 0.1%
ValueCountFrequency (%)
976.494439 1
< 0.1%
976.145766 1
< 0.1%
973.826686 1
< 0.1%
968.113077 1
< 0.1%
959.2756 1
< 0.1%
952.929897 1
< 0.1%
949.17915 1
< 0.1%
949.173271 1
< 0.1%
948.410594 1
< 0.1%
939.98434 1
< 0.1%

제주공급예비율
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.003391
Minimum14.404766
Maximum221.89435
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:50:25.677620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14.404766
5-th percentile44.831265
Q164.858229
median83.40363
Q3106.71334
95-th percentile141.37413
Maximum221.89435
Range207.48958
Interquartile range (IQR)41.855116

Descriptive statistics

Standard deviation29.666047
Coefficient of variation (CV)0.34097576
Kurtosis0.020553461
Mean87.003391
Median Absolute Deviation (MAD)20.495888
Skewness0.55625062
Sum870033.91
Variance880.07435
MonotonicityNot monotonic
2023-12-12T21:50:25.830632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.50785056 1
 
< 0.1%
88.07343158 1
 
< 0.1%
37.70164752 1
 
< 0.1%
130.2036361 1
 
< 0.1%
118.698388 1
 
< 0.1%
126.4513234 1
 
< 0.1%
77.25174772 1
 
< 0.1%
110.7715561 1
 
< 0.1%
127.0092508 1
 
< 0.1%
126.3220533 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
14.40476566 1
< 0.1%
15.53368393 1
< 0.1%
15.88240702 1
< 0.1%
22.50166738 1
< 0.1%
25.22718038 1
< 0.1%
25.3562824 1
< 0.1%
26.11907386 1
< 0.1%
26.62720595 1
< 0.1%
26.91093569 1
< 0.1%
27.05279716 1
< 0.1%
ValueCountFrequency (%)
221.8943484 1
< 0.1%
221.3917939 1
< 0.1%
214.8044724 1
< 0.1%
210.0585436 1
< 0.1%
206.6446124 1
< 0.1%
203.0770528 1
< 0.1%
199.9550571 1
< 0.1%
199.7273508 1
< 0.1%
198.8583274 1
< 0.1%
198.7502073 1
< 0.1%

제주운영예비력
Real number (ℝ)

HIGH CORRELATION 

Distinct9975
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean396.73272
Minimum76.885612
Maximum685.3786
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:50:25.977408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum76.885612
5-th percentile235.833
Q1336.34335
median398.44852
Q3463.57395
95-th percentile543.84385
Maximum685.3786
Range608.49299
Interquartile range (IQR)127.23061

Descriptive statistics

Standard deviation93.651294
Coefficient of variation (CV)0.23605639
Kurtosis-0.09631825
Mean396.73272
Median Absolute Deviation (MAD)63.88797
Skewness-0.18000281
Sum3967327.2
Variance8770.5648
MonotonicityNot monotonic
2023-12-12T21:50:26.152223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
465.379913 7
 
0.1%
452.868073 7
 
0.1%
340.863037 6
 
0.1%
457.074188 5
 
0.1%
432.819214 3
 
< 0.1%
359.617371 2
 
< 0.1%
534.780029 2
 
< 0.1%
350.766113 1
 
< 0.1%
373.323212 1
 
< 0.1%
353.245758 1
 
< 0.1%
Other values (9965) 9965
99.7%
ValueCountFrequency (%)
76.885612 1
< 0.1%
87.954185 1
< 0.1%
89.287544 1
< 0.1%
91.089714 1
< 0.1%
91.449173 1
< 0.1%
92.823914 1
< 0.1%
96.819702 1
< 0.1%
96.875381 1
< 0.1%
103.112099 1
< 0.1%
107.299301 1
< 0.1%
ValueCountFrequency (%)
685.378601 1
< 0.1%
684.361816 1
< 0.1%
682.912048 1
< 0.1%
680.033386 1
< 0.1%
668.211365 1
< 0.1%
668.155212 1
< 0.1%
667.824707 1
< 0.1%
667.503784 1
< 0.1%
667.465881 1
< 0.1%
661.575073 1
< 0.1%

제주운영예비율
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.125127
Minimum11.249385
Maximum142.92017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:50:26.369081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.249385
5-th percentile31.718668
Q148.249008
median62.698129
Q377.010376
95-th percentile95.854351
Maximum142.92017
Range131.67079
Interquartile range (IQR)28.761369

Descriptive statistics

Standard deviation20.056944
Coefficient of variation (CV)0.31773313
Kurtosis-0.19645207
Mean63.125127
Median Absolute Deviation (MAD)14.363799
Skewness0.20534636
Sum631251.27
Variance402.28102
MonotonicityNot monotonic
2023-12-12T21:50:26.537850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81.76663138 1
 
< 0.1%
68.25069674 1
 
< 0.1%
17.01193565 1
 
< 0.1%
66.22274021 1
 
< 0.1%
76.49559145 1
 
< 0.1%
83.77651239 1
 
< 0.1%
42.64281884 1
 
< 0.1%
63.14086382 1
 
< 0.1%
62.97913934 1
 
< 0.1%
83.3299288 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
11.24938457 1
< 0.1%
13.00467461 1
< 0.1%
13.37645153 1
< 0.1%
13.42246848 1
< 0.1%
13.43579394 1
< 0.1%
13.44390068 1
< 0.1%
13.47019258 1
< 0.1%
13.71963766 1
< 0.1%
14.13511905 1
< 0.1%
14.26375764 1
< 0.1%
ValueCountFrequency (%)
142.9201706 1
< 0.1%
141.2784826 1
< 0.1%
140.6855118 1
< 0.1%
140.4151601 1
< 0.1%
139.9822446 1
< 0.1%
138.7568077 1
< 0.1%
138.2079405 1
< 0.1%
137.405317 1
< 0.1%
136.6149849 1
< 0.1%
136.5773334 1
< 0.1%

수급경보
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2023-12-12T21:50:26.701693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:50:26.808908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

Interactions

2023-12-12T21:50:18.598082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:49:51.427125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:49:53.296407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:49:54.937696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:49:56.610882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:49:58.520267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:00.708761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:02.461782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:04.018105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:05.753380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:08.029115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2023-12-12T21:50:20.051438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:49:52.995753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:49:54.656494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:49:56.306044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:49:58.133207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:00.387075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:02.146008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:03.736036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:05.436453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:07.673734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:09.307793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:11.312908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:12.872051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:14.799183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:16.607876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:18.315859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:20.150073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:49:53.092972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:49:54.743702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:49:56.398618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:49:58.268961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:00.472383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:02.269643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:03.833837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:05.537655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:07.791997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:09.394856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:11.414952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:12.961617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:14.923586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:16.714951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:18.397062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:20.290651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:49:53.190291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:49:54.841945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:49:56.507957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:49:58.409397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:00.592879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:02.365451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:03.929679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:05.657794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:07.917168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:09.496740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:11.527686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:13.060896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:15.039587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:16.858454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:18.488074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:50:26.899626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주파수공급능력현재부하공급예비력공급예비율운영예비력운영예비율현재수요제주공급능력제주발전연계조류제주수요제주공급예비력제주공급예비율제주운영예비력제주운영예비율
주파수1.0000.1140.1380.1390.1410.1540.1520.1400.0540.0920.0660.1000.1060.1150.1010.139
공급능력0.1141.0000.6830.3390.4580.5140.3590.6650.6650.6040.4820.6300.3290.3550.2910.348
현재부하0.1380.6831.0000.8760.9310.4440.7130.9950.5070.7400.5040.7990.3410.5550.3060.540
공급예비력0.1390.3390.8761.0000.9540.2640.7090.8780.2850.5200.3850.6310.4290.5470.3250.484
공급예비율0.1410.4580.9310.9541.0000.3220.7440.9350.3500.6710.4220.7150.3870.5760.3230.498
운영예비력0.1540.5140.4440.2640.3221.0000.6140.4320.4100.3370.2190.3620.1790.1730.1360.210
운영예비율0.1520.3590.7130.7090.7440.6141.0000.7100.2070.4750.3120.5660.2890.4090.2360.371
현재수요0.1400.6650.9950.8780.9350.4320.7101.0000.5010.7350.5050.8110.3620.5960.3200.558
제주공급능력0.0540.6650.5070.2850.3500.4100.2070.5011.0000.5830.5020.5160.7750.4680.5080.299
제주발전0.0920.6040.7400.5200.6710.3370.4750.7350.5831.0000.3270.7730.3360.5300.2850.421
연계조류0.0660.4820.5040.3850.4220.2190.3120.5050.5020.3271.0000.6740.5810.6620.6650.753
제주수요0.1000.6300.7990.6310.7150.3620.5660.8110.5160.7730.6741.0000.4620.7290.4210.707
제주공급예비력0.1060.3290.3410.4290.3870.1790.2890.3620.7750.3360.5810.4621.0000.8910.7110.683
제주공급예비율0.1150.3550.5550.5470.5760.1730.4090.5960.4680.5300.6620.7290.8911.0000.6680.822
제주운영예비력0.1010.2910.3060.3250.3230.1360.2360.3200.5080.2850.6650.4210.7110.6681.0000.893
제주운영예비율0.1390.3480.5400.4840.4980.2100.3710.5580.2990.4210.7530.7070.6830.8220.8931.000
2023-12-12T21:50:27.110279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주파수공급능력현재부하공급예비력공급예비율운영예비력운영예비율현재수요제주공급능력제주발전연계조류제주수요제주공급예비력제주공급예비율제주운영예비력제주운영예비율
주파수1.0000.0360.024-0.007-0.0130.1310.0880.0250.0520.0310.0070.0310.0300.0060.0280.004
공급능력0.0361.0000.665-0.124-0.3270.435-0.2160.6390.6570.5650.3520.6540.112-0.2320.060-0.277
현재부하0.0240.6651.000-0.806-0.9160.356-0.5690.9960.4470.6910.4030.775-0.186-0.515-0.144-0.496
공급예비력-0.007-0.124-0.8061.0000.974-0.1290.604-0.822-0.092-0.480-0.244-0.5080.3310.4950.2240.427
공급예비율-0.013-0.327-0.9160.9741.000-0.2160.622-0.925-0.224-0.582-0.311-0.6310.2940.5270.2030.472
운영예비력0.1310.4350.356-0.129-0.2161.0000.5110.3360.3200.2870.1350.3050.084-0.0910.016-0.142
운영예비율0.088-0.216-0.5690.6040.6220.5111.000-0.583-0.117-0.373-0.246-0.4340.2520.3940.1370.324
현재수요0.0250.6390.996-0.822-0.9250.336-0.5831.0000.4300.6960.4080.781-0.210-0.535-0.162-0.513
제주공급능력0.0520.6570.447-0.092-0.2240.320-0.1170.4301.0000.4780.1620.4550.6330.2180.3450.028
제주발전0.0310.5650.691-0.480-0.5820.287-0.3730.6960.4781.0000.0560.761-0.137-0.4870.045-0.366
연계조류0.0070.3520.403-0.244-0.3110.135-0.2460.4080.1620.0561.0000.664-0.389-0.590-0.521-0.699
제주수요0.0310.6540.775-0.508-0.6310.305-0.4340.7810.4550.7610.6641.000-0.352-0.746-0.283-0.713
제주공급예비력0.0300.112-0.1860.3310.2940.0840.252-0.2100.633-0.137-0.389-0.3521.0000.8760.6340.646
제주공급예비율0.006-0.232-0.5150.4950.527-0.0910.394-0.5350.218-0.487-0.590-0.7460.8761.0000.5880.819
제주운영예비력0.0280.060-0.1440.2240.2030.0160.137-0.1620.3450.045-0.521-0.2830.6340.5881.0000.855
제주운영예비율0.004-0.277-0.4960.4270.472-0.1420.324-0.5130.028-0.366-0.699-0.7130.6460.8190.8551.000

Missing values

2023-12-12T21:50:20.486946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:50:20.804753image/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

시간주파수공급능력현재부하공급예비력공급예비율운영예비력운영예비율현재수요제주공급능력제주발전연계조류제주수요제주공급예비력제주공급예비율제주운영예비력제주운영예비율수급경보
123262020-10-13 19:5560.01800287651.9687565539.2583822079.4296933.6888619684.68359414.7769265537.299081184.543701532.88656895.492408628.378976556.16472588.507851513.80432181.7666310
332262020-12-25 09:5059.97000194705.2343863795.5414630908.0820348.44865510197.3613315.98444262284.16351404.862061483.66966100.988671584.658331820.20373140.287701534.75378491.4643230
235012020-11-21 15:1060.03099889172.5078156735.6771932436.5507857.1713476950.13818412.25003156735.664161075.806396412.912308180.274288593.186596482.619881.360537394.80905266.5573120
356072021-01-02 16:3059.95896261.7187561148.4696635088.7539157.3828829363.35644515.31249561144.422481440.305664534.350651185.298851719.649502720.656162100.139882532.12542773.9423050
235192020-11-21 16:4060.03200188001.0546959191.3198628841.3437548.725637313.14111312.3550959187.144091027.37085424.502713201.541538626.044251401.32659964.105149417.80795366.7377670
363512021-01-05 06:3060.02199997133.3046970996.0636526142.9296936.82306914597.3632820.56080768073.975291247.85498426.943698260.728882687.67258560.182481.460628399.79528858.1374480
123522020-10-13 22:0560.00899987436.3515661746.4610225697.8203141.6182898692.18554714.07722161744.135491126.880859395.042951186.462705581.505656545.37520393.786741388.73931966.8504790
200122020-11-09 12:2560.00899988469.6484461193.5336127285.1796944.58833812039.345719.67421259720.301341277.248047418.44382788.50416506.947987770.30006151.948539511.193115100.8373890
91932020-10-02 22:4560.0283634.3906349046.2058534563.5351670.47137410388.2734421.18058549041.982071060.473511354.540354207.017292561.557646498.91586588.844995393.85272270.135760
279772020-12-07 04:2059.99000288837.0703156062.5894432789.9609458.48813110590.8095718.89104654336.595731271.21106459.911892136.422123596.334015674.877045113.170979571.96502795.9135340
시간주파수공급능력현재부하공급예비력공급예비율운영예비력운영예비율현재수요제주공급능력제주발전연계조류제주수요제주공급예비력제주공급예비율제주운영예비력제주운영예비율수급경보
448092021-02-03 15:5060.01599999241.4296977327.5607321913.8689628.33901514652.3281318.9483977323.079791377.441284483.954264205.443265689.397529688.04375599.803629477.72482369.2959870
63532020-09-23 02:0059.96699985141.7109454792.4008730303.9414155.3068339463.12890617.27087853831.916591089.946533373.466696122.512278495.978974593.967559119.756601481.58660997.0981910
474762021-02-12 22:1060.03799886968.4218854171.377432797.0444860.54312512132.5400422.39658854169.228481273.516235415.170284273.290307688.460591585.05564484.980266385.7217156.0266940
198792020-11-09 01:2059.96699988222.0546951097.1006137156.6992272.71782310399.1640620.35176950766.878111018.358398427.408879122.107227549.516106468.84229285.319117292.06655953.1497720
482482021-02-15 14:3060.04195596.8828169542.6857126054.197137.46504314668.0712921.09218469538.333361467.192749513.572211154.654122668.226333798.966416119.56524518.06652877.5286010
50812020-09-18 16:0060.00899989687.9296968318.3355321349.687531.25030410482.1630915.34311868316.13209978.841675496.49996169.88163666.38159312.46008546.889063229.74505634.4765010
342942020-12-29 02:5059.9896807.8828160930.5118835871.1992258.87230910012.5722716.43277259673.093171228.08313402.864726200.280269603.144995624.938135103.613251466.78472977.3917930
455062021-02-06 01:5559.98500195937.2109464618.9678431318.2430948.46602210641.9492216.4687762803.747381240.171021423.523698269.573153693.096851547.0741778.93185386.79180955.8063150
220682020-11-16 15:4559.97800183209.7109466769.8067816427.5859424.6033159777.7470714.64396566767.603331017.271362429.766033214.410584644.176617373.09474557.918083319.66647349.6240420
3502020-09-02 05:2060.03595582.2265660616.9585334980.8398457.7080099449.54199215.58894158218.92871271.548584474.86104682.541331557.402377714.146207128.120409589.221375105.7084430