gimi9 Pandas Profiling

Dataset statistics

Number of variables	12
Number of observations	54
Missing cells	29
Missing cells (%)	4.5%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	5.8 KiB
Average record size in memory	109.4 B

Variable types

DateTime	1
Numeric	11

Dataset

Description	한국남부발전(주)_출자회사 태양광 발전시간 정보에 대한 데이터로 각 지역별 일 평균 발전시간 항목을 제공합니다.
URL	https://www.data.go.kr/data/15040960/fileData.do

Alerts

`전북 군산` is highly overall correlated with `인천_1` and 9 other fields	High correlation
`인천_1` is highly overall correlated with `전북 군산` and 8 other fields	High correlation
`인천_2` is highly overall correlated with `전북 군산` and 9 other fields	High correlation
`충북 진천` is highly overall correlated with `전북 군산` and 9 other fields	High correlation
`경기 안산` is highly overall correlated with `전북 군산` and 9 other fields	High correlation
`경남 함안` is highly overall correlated with `전북 군산` and 8 other fields	High correlation
`전북 완주` is highly overall correlated with `전북 군산` and 9 other fields	High correlation
`경기 여주` is highly overall correlated with `전북 군산` and 9 other fields	High correlation
`전남 영암` is highly overall correlated with `전북 군산` and 9 other fields	High correlation
`경남 밀양` is highly overall correlated with `전북 군산` and 9 other fields	High correlation
`전남 해남` is highly overall correlated with `전북 군산` and 9 other fields	High correlation
`경남 밀양` has 14 (25.9%) missing values	Missing
`전남 해남` has 15 (27.8%) missing values	Missing
`지역별 일 평균발전시간` has unique values	Unique

Reproduction

Analysis started	2023-12-12 04:32:23.962242
Analysis finished	2023-12-12 04:32:37.762287
Duration	13.8 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

지역별 일 평균발전시간
Date

UNIQUE

Distinct	54
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	564.0 B

Minimum	2019-01-19 00:00:00
Maximum	2023-06-19 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

전북 군산
Real number (ℝ)

HIGH CORRELATION

Distinct	51
Distinct (%)	94.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.3607407

Minimum	1.02
Maximum	3.64
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	618.0 B

Quantile statistics

Minimum	1.02
5-th percentile	1.236
Q1	1.855
median	2.415
Q3	2.815
95-th percentile	3.3435
Maximum	3.64
Range	2.62
Interquartile range (IQR)	0.96

Descriptive statistics

Standard deviation	0.66082525
Coefficient of variation (CV)	0.27992284
Kurtosis	-0.52779341
Mean	2.3607407
Median Absolute Deviation (MAD)	0.425
Skewness	-0.16821751
Sum	127.48
Variance	0.43669001
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2.65	2	3.7%
2.82	2	3.7%
1.73	2	3.7%
1.02	1	1.9%
3.27	1	1.9%
2.97	1	1.9%
2.44	1	1.9%
2.23	1	1.9%
2.3	1	1.9%
1.59	1	1.9%
Other values (41)	41	75.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.02	1	1.9%
1.03	1	1.9%
1.21	1	1.9%
1.25	1	1.9%
1.35	1	1.9%
1.41	1	1.9%
1.5	1	1.9%
1.59	1	1.9%
1.62	1	1.9%
1.65	1	1.9%

Value	Count	Frequency (%)
3.64	1	1.9%
3.63	1	1.9%
3.48	1	1.9%
3.27	1	1.9%
3.25	1	1.9%
3.22	1	1.9%
3.2	1	1.9%
3.17	1	1.9%
3.02	1	1.9%
2.97	1	1.9%

인천_1
Real number (ℝ)

HIGH CORRELATION

Distinct	51
Distinct (%)	94.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.08

Minimum	1.2
Maximum	4.76
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	618.0 B

Quantile statistics

Minimum	1.2
5-th percentile	1.9115
Q1	2.6225
median	3.095
Q3	3.5275
95-th percentile	4.2305
Maximum	4.76
Range	3.56
Interquartile range (IQR)	0.905

Descriptive statistics

Standard deviation	0.7396302
Coefficient of variation (CV)	0.24013967
Kurtosis	-0.02178347
Mean	3.08
Median Absolute Deviation (MAD)	0.47
Skewness	-0.073886166
Sum	166.32
Variance	0.54705283
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2.66	3	5.6%
3.44	2	3.7%
2.28	1	1.9%
2.87	1	1.9%
3.49	1	1.9%
3.53	1	1.9%
3.08	1	1.9%
2.54	1	1.9%
2.7	1	1.9%
3.22	1	1.9%
Other values (41)	41	75.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.2	1	1.9%
1.58	1	1.9%
1.71	1	1.9%
2.02	1	1.9%
2.26	1	1.9%
2.28	1	1.9%
2.33	1	1.9%
2.35	1	1.9%
2.39	1	1.9%
2.41	1	1.9%

Value	Count	Frequency (%)
4.76	1	1.9%
4.43	1	1.9%
4.25	1	1.9%
4.22	1	1.9%
4.16	1	1.9%
4.12	1	1.9%
4.0	1	1.9%
3.92	1	1.9%
3.88	1	1.9%
3.78	1	1.9%

인천_2
Real number (ℝ)

HIGH CORRELATION

Distinct	51
Distinct (%)	94.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.3816667

Minimum	1.78
Maximum	5.25
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	618.0 B

Quantile statistics

Minimum	1.78
5-th percentile	2.098
Q1	2.7025
median	3.335
Q3	4.1075
95-th percentile	4.852
Maximum	5.25
Range	3.47
Interquartile range (IQR)	1.405

Descriptive statistics

Standard deviation	0.8835408
Coefficient of variation (CV)	0.26127377
Kurtosis	-0.79877299
Mean	3.3816667
Median Absolute Deviation (MAD)	0.715
Skewness	0.11253403
Sum	182.61
Variance	0.78064434
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2.74	2	3.7%
3.91	2	3.7%
2.69	2	3.7%
2.18	1	1.9%
5.25	1	1.9%
3.29	1	1.9%
3.74	1	1.9%
3.25	1	1.9%
2.52	1	1.9%
2.59	1	1.9%
Other values (41)	41	75.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.78	1	1.9%
1.84	1	1.9%
2.02	1	1.9%
2.14	1	1.9%
2.17	1	1.9%
2.18	1	1.9%
2.23	1	1.9%
2.26	1	1.9%
2.37	1	1.9%
2.5	1	1.9%

Value	Count	Frequency (%)
5.25	1	1.9%
5.12	1	1.9%
4.93	1	1.9%
4.81	1	1.9%
4.54	1	1.9%
4.42	1	1.9%
4.38	1	1.9%
4.31	1	1.9%
4.27	1	1.9%
4.24	1	1.9%

충북 진천
Real number (ℝ)

HIGH CORRELATION

Distinct	49
Distinct (%)	90.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.7877778

Minimum	1.2
Maximum	4.52
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	618.0 B

Quantile statistics

Minimum	1.2
5-th percentile	1.8335
Q1	2.23
median	2.78
Q3	3.2275
95-th percentile	3.8705
Maximum	4.52
Range	3.32
Interquartile range (IQR)	0.9975

Descriptive statistics

Standard deviation	0.6999991
Coefficient of variation (CV)	0.25109573
Kurtosis	-0.13853828
Mean	2.7877778
Median Absolute Deviation (MAD)	0.53
Skewness	0.041448221
Sum	150.54
Variance	0.48999874
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=49)

Value	Count	Frequency (%)
3.53	2	3.7%
2.23	2	3.7%
2.47	2	3.7%
3.22	2	3.7%
3.2	2	3.7%
4.08	1	1.9%
3.78	1	1.9%
2.74	1	1.9%
3.04	1	1.9%
2.79	1	1.9%
Other values (39)	39	72.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.2	1	1.9%
1.24	1	1.9%
1.71	1	1.9%
1.9	1	1.9%
1.91	1	1.9%
2.04	1	1.9%
2.06	1	1.9%
2.07	1	1.9%
2.12	1	1.9%
2.14	1	1.9%

Value	Count	Frequency (%)
4.52	1	1.9%
4.08	1	1.9%
3.89	1	1.9%
3.86	1	1.9%
3.78	1	1.9%
3.73	1	1.9%
3.54	1	1.9%
3.53	2	3.7%
3.43	1	1.9%
3.36	1	1.9%

경기 안산
Real number (ℝ)

HIGH CORRELATION

Distinct	51
Distinct (%)	94.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.032963

Minimum	1.43
Maximum	4.77
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	618.0 B

Quantile statistics

Minimum	1.43
5-th percentile	1.8425
Q1	2.3325
median	2.995
Q3	3.6675
95-th percentile	4.3365
Maximum	4.77
Range	3.34
Interquartile range (IQR)	1.335

Descriptive statistics

Standard deviation	0.82585034
Coefficient of variation (CV)	0.2722916
Kurtosis	-0.64514246
Mean	3.032963
Median Absolute Deviation (MAD)	0.665
Skewness	0.19864852
Sum	163.78
Variance	0.68202879
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3.73	2	3.7%
4.13	2	3.7%
2.33	2	3.7%
2.97	1	1.9%
2.77	1	1.9%
3.09	1	1.9%
2.68	1	1.9%
2.02	1	1.9%
1.9	1	1.9%
2.22	1	1.9%
Other values (41)	41	75.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.43	1	1.9%
1.79	1	1.9%
1.81	1	1.9%
1.86	1	1.9%
1.88	1	1.9%
1.9	1	1.9%
2.02	1	1.9%
2.07	1	1.9%
2.09	1	1.9%
2.13	1	1.9%

Value	Count	Frequency (%)
4.77	1	1.9%
4.73	1	1.9%
4.72	1	1.9%
4.13	2	3.7%
4.12	1	1.9%
4.1	1	1.9%
3.97	1	1.9%
3.94	1	1.9%
3.81	1	1.9%
3.73	2	3.7%

경남 함안
Real number (ℝ)

HIGH CORRELATION

Distinct	50
Distinct (%)	92.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.6931481

Minimum	1.62
Maximum	4.31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	618.0 B

Quantile statistics

Minimum	1.62
5-th percentile	1.7865
Q1	2.1125
median	2.645
Q3	3.1975
95-th percentile	3.8975
Maximum	4.31
Range	2.69
Interquartile range (IQR)	1.085

Descriptive statistics

Standard deviation	0.69759918
Coefficient of variation (CV)	0.25902741
Kurtosis	-0.45819413
Mean	2.6931481
Median Absolute Deviation (MAD)	0.54
Skewness	0.4555545
Sum	145.43
Variance	0.48664462
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.86	2	3.7%
2.11	2	3.7%
3.58	2	3.7%
1.89	2	3.7%
1.98	1	1.9%
2.76	1	1.9%
2.65	1	1.9%
2.55	1	1.9%
2.2	1	1.9%
1.9	1	1.9%
Other values (40)	40	74.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.62	1	1.9%
1.64	1	1.9%
1.78	1	1.9%
1.79	1	1.9%
1.82	1	1.9%
1.86	2	3.7%
1.89	2	3.7%
1.9	1	1.9%
1.94	1	1.9%
1.98	1	1.9%

Value	Count	Frequency (%)
4.31	1	1.9%
4.29	1	1.9%
4.19	1	1.9%
3.74	1	1.9%
3.58	2	3.7%
3.52	1	1.9%
3.51	1	1.9%
3.35	1	1.9%
3.34	1	1.9%
3.31	1	1.9%

전북 완주
Real number (ℝ)

HIGH CORRELATION

Distinct	46
Distinct (%)	85.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.6816667

Minimum	1.31
Maximum	4.25
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	618.0 B

Quantile statistics

Minimum	1.31
5-th percentile	1.6055
Q1	2.2025
median	2.62
Q3	3.25
95-th percentile	3.6805
Maximum	4.25
Range	2.94
Interquartile range (IQR)	1.0475

Descriptive statistics

Standard deviation	0.70394776
Coefficient of variation (CV)	0.26250383
Kurtosis	-0.54988955
Mean	2.6816667
Median Absolute Deviation (MAD)	0.56
Skewness	0.074240562
Sum	144.81
Variance	0.49554245
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=46)

Value	Count	Frequency (%)
2.44	3	5.6%
2.38	2	3.7%
3.1	2	3.7%
3.27	2	3.7%
3.67	2	3.7%
3.11	2	3.7%
2.59	2	3.7%
2.63	1	1.9%
2.6	1	1.9%
1.84	1	1.9%
Other values (36)	36	66.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.31	1	1.9%
1.39	1	1.9%
1.56	1	1.9%
1.63	1	1.9%
1.68	1	1.9%
1.7	1	1.9%
1.79	1	1.9%
1.84	1	1.9%
1.92	1	1.9%
1.93	1	1.9%

Value	Count	Frequency (%)
4.25	1	1.9%
4.2	1	1.9%
3.7	1	1.9%
3.67	2	3.7%
3.54	1	1.9%
3.49	1	1.9%
3.47	1	1.9%
3.41	1	1.9%
3.36	1	1.9%
3.3	1	1.9%

경기 여주
Real number (ℝ)

HIGH CORRELATION

Distinct	51
Distinct (%)	94.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.2151852

Minimum	1.22
Maximum	4.99
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	618.0 B

Quantile statistics

Minimum	1.22
5-th percentile	1.79
Q1	2.7525
median	3.265
Q3	3.8525
95-th percentile	4.484
Maximum	4.99
Range	3.77
Interquartile range (IQR)	1.1

Descriptive statistics

Standard deviation	0.85951663
Coefficient of variation (CV)	0.26733036
Kurtosis	-0.38446181
Mean	3.2151852
Median Absolute Deviation (MAD)	0.585
Skewness	-0.087349574
Sum	173.62
Variance	0.73876883
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4.32	2	3.7%
1.79	2	3.7%
3.32	2	3.7%
2.46	1	1.9%
3.68	1	1.9%
3.29	1	1.9%
2.81	1	1.9%
2.1	1	1.9%
2.07	1	1.9%
2.49	1	1.9%
Other values (41)	41	75.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.22	1	1.9%
1.6	1	1.9%
1.79	2	3.7%
2.07	1	1.9%
2.08	1	1.9%
2.1	1	1.9%
2.24	1	1.9%
2.25	1	1.9%
2.33	1	1.9%
2.38	1	1.9%

Value	Count	Frequency (%)
4.99	1	1.9%
4.94	1	1.9%
4.51	1	1.9%
4.47	1	1.9%
4.32	2	3.7%
4.23	1	1.9%
4.22	1	1.9%
4.19	1	1.9%
4.16	1	1.9%
4.15	1	1.9%

전남 영암
Real number (ℝ)

HIGH CORRELATION

Distinct	50
Distinct (%)	92.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.3246296

Minimum	0.95
Maximum	4.08
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	618.0 B

Quantile statistics

Minimum	0.95
5-th percentile	1.0355
Q1	1.7225
median	2.22
Q3	2.88
95-th percentile	3.5775
Maximum	4.08
Range	3.13
Interquartile range (IQR)	1.1575

Descriptive statistics

Standard deviation	0.82294848
Coefficient of variation (CV)	0.35401273
Kurtosis	-0.76416737
Mean	2.3246296
Median Absolute Deviation (MAD)	0.615
Skewness	0.15852843
Sum	125.53
Variance	0.6772442
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2.02	2	3.7%
2.69	2	3.7%
2.93	2	3.7%
2.88	2	3.7%
3.74	1	1.9%
2.2	1	1.9%
2.15	1	1.9%
2.19	1	1.9%
0.97	1	1.9%
0.95	1	1.9%
Other values (40)	40	74.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.95	1	1.9%
0.97	1	1.9%
0.99	1	1.9%
1.06	1	1.9%
1.17	1	1.9%
1.22	1	1.9%
1.3	1	1.9%
1.32	1	1.9%
1.35	1	1.9%
1.36	1	1.9%

Value	Count	Frequency (%)
4.08	1	1.9%
4.01	1	1.9%
3.74	1	1.9%
3.49	1	1.9%
3.48	1	1.9%
3.4	1	1.9%
3.38	1	1.9%
3.3	1	1.9%
3.28	1	1.9%
3.24	1	1.9%

경남 밀양
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	35
Distinct (%)	87.5%
Missing	14
Missing (%)	25.9%
Infinite	0
Infinite (%)	0.0%
Mean	3.43875

Minimum	2.42
Maximum	4.9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	618.0 B

Quantile statistics

Minimum	2.42
5-th percentile	2.6505
Q1	2.9525
median	3.34
Q3	3.7275
95-th percentile	4.7085
Maximum	4.9
Range	2.48
Interquartile range (IQR)	0.775

Descriptive statistics

Standard deviation	0.64004482
Coefficient of variation (CV)	0.18612717
Kurtosis	-0.0048697818
Mean	3.43875
Median Absolute Deviation (MAD)	0.395
Skewness	0.71026698
Sum	137.55
Variance	0.40965737
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=35)

Value	Count	Frequency (%)
3.37	2	3.7%
3.56	2	3.7%
3.65	2	3.7%
2.87	2	3.7%
2.66	2	3.7%
2.76	1	1.9%
2.82	1	1.9%
3.16	1	1.9%
3.31	1	1.9%
3.14	1	1.9%
Other values (25)	25	46.3%
(Missing)	14	25.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2.42	1	1.9%
2.47	1	1.9%
2.66	2	3.7%
2.76	1	1.9%
2.82	1	1.9%
2.85	1	1.9%
2.87	2	3.7%
2.93	1	1.9%
2.96	1	1.9%
3.02	1	1.9%

Value	Count	Frequency (%)
4.9	1	1.9%
4.87	1	1.9%
4.7	1	1.9%
4.6	1	1.9%
4.44	1	1.9%
4.2	1	1.9%
3.94	1	1.9%
3.9	1	1.9%
3.77	1	1.9%
3.75	1	1.9%

전남 해남
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	37
Distinct (%)	94.9%
Missing	15
Missing (%)	27.8%
Infinite	0
Infinite (%)	0.0%
Mean	3.7982051

Minimum	2.45
Maximum	5.53
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	618.0 B

Quantile statistics

Minimum	2.45
5-th percentile	2.551
Q1	3.34
median	3.85
Q3	4.215
95-th percentile	5.071
Maximum	5.53
Range	3.08
Interquartile range (IQR)	0.875

Descriptive statistics

Standard deviation	0.740092
Coefficient of variation (CV)	0.19485309
Kurtosis	-0.11394205
Mean	3.7982051
Median Absolute Deviation (MAD)	0.45
Skewness	0.060124866
Sum	148.13
Variance	0.54773617
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=37)

Value	Count	Frequency (%)
3.59	2	3.7%
4.37	2	3.7%
3.92	1	1.9%
4.06	1	1.9%
3.76	1	1.9%
2.91	1	1.9%
2.45	1	1.9%
3.28	1	1.9%
2.47	1	1.9%
4.04	1	1.9%
Other values (27)	27	50.0%
(Missing)	15	27.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2.45	1	1.9%
2.47	1	1.9%
2.56	1	1.9%
2.66	1	1.9%
2.75	1	1.9%
2.91	1	1.9%
2.96	1	1.9%
3.0	1	1.9%
3.22	1	1.9%
3.28	1	1.9%

Value	Count	Frequency (%)
5.53	1	1.9%
5.17	1	1.9%
5.06	1	1.9%
4.84	1	1.9%
4.55	1	1.9%
4.42	1	1.9%
4.41	1	1.9%
4.37	2	3.7%
4.24	1	1.9%
4.19	1	1.9%

Phik (φk)
Auto

Heatmap
Table

	지역별 일 평균발전시간	전북 군산	인천_1	인천_2	충북 진천	경기 안산	경남 함안	전북 완주	경기 여주	전남 영암	경남 밀양	전남 해남
지역별 일 평균발전시간	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
전북 군산	1.000	1.000	0.827	0.869	0.663	0.876	0.774	0.897	0.862	0.885	0.697	0.761
인천_1	1.000	0.827	1.000	0.820	0.872	0.630	0.548	0.681	0.547	0.813	0.743	0.808
인천_2	1.000	0.869	0.820	1.000	0.776	0.916	0.760	0.849	0.839	0.761	0.859	0.822
충북 진천	1.000	0.663	0.872	0.776	1.000	0.711	0.506	0.830	0.858	0.721	0.518	0.751
경기 안산	1.000	0.876	0.630	0.916	0.711	1.000	0.770	0.894	0.891	0.886	0.718	0.734
경남 함안	1.000	0.774	0.548	0.760	0.506	0.770	1.000	0.755	0.763	0.761	0.498	0.650
전북 완주	1.000	0.897	0.681	0.849	0.830	0.894	0.755	1.000	0.875	0.852	0.840	0.866
경기 여주	1.000	0.862	0.547	0.839	0.858	0.891	0.763	0.875	1.000	0.816	0.596	0.495
전남 영암	1.000	0.885	0.813	0.761	0.721	0.886	0.761	0.852	0.816	1.000	0.516	0.942
경남 밀양	1.000	0.697	0.743	0.859	0.518	0.718	0.498	0.840	0.596	0.516	1.000	0.830
전남 해남	1.000	0.761	0.808	0.822	0.751	0.734	0.650	0.866	0.495	0.942	0.830	1.000

Heatmap
Table

	전북 군산	인천_1	인천_2	충북 진천	경기 안산	경남 함안	전북 완주	경기 여주	전남 영암	경남 밀양	전남 해남
전북 군산	1.000	0.704	0.724	0.583	0.784	0.834	0.909	0.850	0.886	0.769	0.897
인천_1	0.704	1.000	0.739	0.727	0.664	0.472	0.663	0.621	0.577	0.781	0.726
인천_2	0.724	0.739	1.000	0.707	0.663	0.586	0.738	0.664	0.688	0.541	0.671
충북 진천	0.583	0.727	0.707	1.000	0.752	0.579	0.705	0.704	0.630	0.696	0.797
경기 안산	0.784	0.664	0.663	0.752	1.000	0.778	0.868	0.859	0.796	0.687	0.829
경남 함안	0.834	0.472	0.586	0.579	0.778	1.000	0.871	0.812	0.842	0.702	0.829
전북 완주	0.909	0.663	0.738	0.705	0.868	0.871	1.000	0.915	0.861	0.773	0.876
경기 여주	0.850	0.621	0.664	0.704	0.859	0.812	0.915	1.000	0.868	0.647	0.789
전남 영암	0.886	0.577	0.688	0.630	0.796	0.842	0.861	0.868	1.000	0.677	0.919
경남 밀양	0.769	0.781	0.541	0.696	0.687	0.702	0.773	0.647	0.677	1.000	0.862
전남 해남	0.897	0.726	0.671	0.797	0.829	0.829	0.876	0.789	0.919	0.862	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	지역별 일 평균발전시간	전북 군산	인천_1	인천_2	충북 진천	경기 안산	경남 함안	전북 완주	경기 여주	전남 영암	경남 밀양	전남 해남
0	2019-01-19	1.02	2.28	2.18	2.51	2.34	1.98	1.94	2.46	1.71	<NA>	<NA>
1	2019-02-19	1.25	1.58	2.02	2.94	2.85	2.5	2.44	3.01	1.3	<NA>	<NA>
2	2019-03-19	1.85	1.2	2.26	3.09	3.39	3.34	3.1	3.43	1.93	<NA>	<NA>
3	2019-04-19	2.31	1.71	4.19	2.92	3.67	3.15	3.27	3.92	2.93	<NA>	<NA>
4	2019-05-19	3.48	4.16	5.12	2.96	4.77	4.31	3.47	4.94	4.08	<NA>	<NA>
5	2019-06-19	3.25	3.18	4.54	2.5	4.13	3.52	3.67	4.47	3.49	<NA>	<NA>
6	2019-07-19	2.86	2.66	3.46	1.91	3.03	3.13	2.97	3.42	2.88	<NA>	<NA>
7	2019-08-19	3.2	3.07	4.38	2.28	1.86	3.25	3.28	4.06	3.07	<NA>	<NA>
8	2019-09-19	2.4	2.66	3.05	2.19	1.43	2.43	2.59	2.91	1.17	<NA>	<NA>
9	2019-10-19	2.34	2.95	3.33	2.67	3.01	2.35	2.58	3.03	2.21	<NA>	<NA>

	지역별 일 평균발전시간	전북 군산	인천_1	인천_2	충북 진천	경기 안산	경남 함안	전북 완주	경기 여주	전남 영암	경남 밀양	전남 해남
44	2022-09-19	2.54	3.52	3.91	3.2	3.24	2.7	2.77	3.62	2.23	3.16	3.72
45	2022-10-19	2.45	3.06	3.62	2.9	2.95	2.79	2.73	2.94	2.45	3.37	4.37
46	2022-11-19	1.69	2.35	2.88	2.22	2.44	1.94	1.93	2.24	1.62	2.76	3.28
47	2022-12-19	1.03	2.33	2.37	1.2	1.81	1.89	1.31	1.22	0.99	2.66	2.45
48	2023-01-19	1.65	2.46	2.87	2.15	2.3	2.11	1.92	1.6	1.35	2.82	2.91
49	2023-02-19	2.2	3.16	3.67	2.77	3.07	2.45	2.37	2.74	2.07	3.14	3.76
50	2023-03-19	2.65	3.88	4.1	3.43	3.63	3.0	3.11	3.48	2.64	3.72	4.37
51	2023-04-19	2.42	3.43	3.61	3.29	3.51	3.27	2.89	3.52	2.69	3.65	4.06
52	2023-05-19	2.65	3.77	4.21	3.54	4.13	3.19	3.11	4.15	2.8	3.37	3.92
53	2023-06-19	2.82	3.34	4.27	3.73	4.1	3.51	3.49	4.22	2.85	3.27	4.04

Overview

Variables

Interactions

Correlations

Missing values

Sample