Overview

Dataset statistics

Number of variables11
Number of observations180
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.0 KiB
Average record size in memory96.7 B

Variable types

Categorical3
Numeric8

Dataset

Description한국전력공사에서 전기차 충전에 대한 월별, 계시별(경부하, 중부하, 최대부하) 사용량 과 적용단가에 대한 정보 입니다.
Author한국전력공사
URLhttps://www.data.go.kr/data/15104443/fileData.do

Alerts

판매량(경부하) is highly overall correlated with 판매량(중부하) and 2 other fieldsHigh correlation
사용량단가(경부하) is highly overall correlated with 사용량단가(중부하) and 1 other fieldsHigh correlation
판매량(중부하) is highly overall correlated with 판매량(경부하) and 3 other fieldsHigh correlation
사용량단가(중부하) is highly overall correlated with 사용량단가(경부하) and 2 other fieldsHigh correlation
판매량(최대부하) is highly overall correlated with 판매량(경부하) and 2 other fieldsHigh correlation
사용량단가(최대부하) is highly overall correlated with 사용량단가(중부하) High correlation
판매량 is highly overall correlated with 판매량(경부하) and 2 other fieldsHigh correlation
판매단가 is highly overall correlated with 사용량단가(경부하) and 1 other fieldsHigh correlation
충전요금 is highly overall correlated with 판매량(중부하) High correlation
판매량(경부하) has unique valuesUnique
판매량(중부하) has unique valuesUnique
판매량(최대부하) has unique valuesUnique
판매량 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:20:08.314109
Analysis finished2023-12-12 14:20:16.719658
Duration8.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct18
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Jan-21
 
10
Feb-21
 
10
Mar-21
 
10
Apr-21
 
10
May-21
 
10
Other values (13)
130 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowJan-21
2nd rowJan-21
3rd rowJan-21
4th rowJan-21
5th rowJan-21

Common Values

ValueCountFrequency (%)
Jan-21 10
 
5.6%
Feb-21 10
 
5.6%
Mar-21 10
 
5.6%
Apr-21 10
 
5.6%
May-21 10
 
5.6%
Jun-21 10
 
5.6%
Jul-21 10
 
5.6%
Aug-21 10
 
5.6%
Sep-21 10
 
5.6%
Oct-21 10
 
5.6%
Other values (8) 80
44.4%

Length

2023-12-12T23:20:16.781839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
jan-21 10
 
5.6%
feb-21 10
 
5.6%
may-22 10
 
5.6%
apr-22 10
 
5.6%
mar-22 10
 
5.6%
feb-22 10
 
5.6%
jan-22 10
 
5.6%
dec-21 10
 
5.6%
nov-21 10
 
5.6%
oct-21 10
 
5.6%
Other values (8) 80
44.4%

충전요금
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
자가용
90 
사업자용
90 

Length

Max length4
Median length3.5
Mean length3.5
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자가용 90
50.0%
사업자용 90
50.0%

Length

2023-12-12T23:20:16.893879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:20:17.024712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자가용 90
50.0%
사업자용 90
50.0%

선택요금
Categorical

Distinct5
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
대상아님
36 
선택요금1
36 
선택요금2
36 
선택요금3
36 
선택요금4
36 

Length

Max length5
Median length5
Mean length4.8
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대상아님
2nd row선택요금1
3rd row선택요금2
4th row선택요금3
5th row선택요금4

Common Values

ValueCountFrequency (%)
대상아님 36
20.0%
선택요금1 36
20.0%
선택요금2 36
20.0%
선택요금3 36
20.0%
선택요금4 36
20.0%

Length

2023-12-12T23:20:17.140163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:20:17.249713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대상아님 36
20.0%
선택요금1 36
20.0%
선택요금2 36
20.0%
선택요금3 36
20.0%
선택요금4 36
20.0%

판매량(경부하)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct180
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3189658
Minimum410
Maximum17841777
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T23:20:17.373548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum410
5-th percentile832.1
Q1224635.5
median701876
Q35657878
95-th percentile13877329
Maximum17841777
Range17841367
Interquartile range (IQR)5433242.5

Descriptive statistics

Standard deviation4528464.3
Coefficient of variation (CV)1.4197335
Kurtosis1.3163485
Mean3189658
Median Absolute Deviation (MAD)695366.5
Skewness1.5405324
Sum5.7413845 × 108
Variance2.0506989 × 1013
MonotonicityNot monotonic
2023-12-12T23:20:17.526241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8262173 1
 
0.6%
13679 1
 
0.6%
6792398 1
 
0.6%
11824577 1
 
0.6%
1864693 1
 
0.6%
1340593 1
 
0.6%
16000557 1
 
0.6%
461903 1
 
0.6%
847123 1
 
0.6%
881 1
 
0.6%
Other values (170) 170
94.4%
ValueCountFrequency (%)
410 1
0.6%
594 1
0.6%
660 1
0.6%
664 1
0.6%
668 1
0.6%
712 1
0.6%
724 1
0.6%
758 1
0.6%
815 1
0.6%
833 1
0.6%
ValueCountFrequency (%)
17841777 1
0.6%
16820060 1
0.6%
16234017 1
0.6%
16000557 1
0.6%
15919286 1
0.6%
14931304 1
0.6%
14883805 1
0.6%
14545040 1
0.6%
13966859 1
0.6%
13872617 1
0.6%

사용량단가(경부하)
Real number (ℝ)

HIGH CORRELATION 

Distinct173
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.588389
Minimum42.1
Maximum123.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T23:20:17.695008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42.1
5-th percentile49.325
Q154.275
median59.35
Q375.75
95-th percentile110.4005
Maximum123.05
Range80.95
Interquartile range (IQR)21.475

Descriptive statistics

Standard deviation17.644342
Coefficient of variation (CV)0.26497625
Kurtosis1.5778676
Mean66.588389
Median Absolute Deviation (MAD)7.67
Skewness1.4129238
Sum11985.91
Variance311.32279
MonotonicityNot monotonic
2023-12-12T23:20:17.841644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56.35 3
 
1.7%
56.1 2
 
1.1%
56.99 2
 
1.1%
54.29 2
 
1.1%
53.93 2
 
1.1%
54.73 2
 
1.1%
76.18 1
 
0.6%
110.4 1
 
0.6%
75.43 1
 
0.6%
73.56 1
 
0.6%
Other values (163) 163
90.6%
ValueCountFrequency (%)
42.1 1
0.6%
44.16 1
0.6%
44.17 1
0.6%
45.84 1
0.6%
46.53 1
0.6%
47.65 1
0.6%
47.8 1
0.6%
48.0 1
0.6%
48.47 1
0.6%
49.37 1
0.6%
ValueCountFrequency (%)
123.05 1
0.6%
121.91 1
0.6%
117.18 1
0.6%
116.96 1
0.6%
113.26 1
0.6%
112.8 1
0.6%
112.73 1
0.6%
111.7 1
0.6%
110.41 1
0.6%
110.4 1
0.6%

판매량(중부하)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct180
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2599013.8
Minimum510
Maximum11215281
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T23:20:18.014467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum510
5-th percentile1149.75
Q1212475.25
median821221
Q34913626.2
95-th percentile9499064
Maximum11215281
Range11214771
Interquartile range (IQR)4701151

Descriptive statistics

Standard deviation3293594.3
Coefficient of variation (CV)1.2672477
Kurtosis-0.063321698
Mean2599013.8
Median Absolute Deviation (MAD)811260.5
Skewness1.1720651
Sum4.6782248 × 108
Variance1.0847763 × 1013
MonotonicityNot monotonic
2023-12-12T23:20:18.165391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6136306 1
 
0.6%
11772 1
 
0.6%
9090225 1
 
0.6%
8021575 1
 
0.6%
2189842 1
 
0.6%
1439968 1
 
0.6%
9595509 1
 
0.6%
386165 1
 
0.6%
697955 1
 
0.6%
1361 1
 
0.6%
Other values (170) 170
94.4%
ValueCountFrequency (%)
510 1
0.6%
585 1
0.6%
690 1
0.6%
768 1
0.6%
885 1
0.6%
1015 1
0.6%
1084 1
0.6%
1086 1
0.6%
1126 1
0.6%
1151 1
0.6%
ValueCountFrequency (%)
11215281 1
0.6%
10874644 1
0.6%
10608283 1
0.6%
10463146 1
0.6%
10448349 1
0.6%
10200424 1
0.6%
9874631 1
0.6%
9783186 1
0.6%
9595509 1
0.6%
9493988 1
0.6%

사용량단가(중부하)
Real number (ℝ)

HIGH CORRELATION 

Distinct176
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.069333
Minimum57.37
Maximum134.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T23:20:18.323564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57.37
5-th percentile62.397
Q166.655
median80.855
Q396.4225
95-th percentile119.037
Maximum134.63
Range77.26
Interquartile range (IQR)29.7675

Descriptive statistics

Standard deviation19.181993
Coefficient of variation (CV)0.22816873
Kurtosis-0.6661461
Mean84.069333
Median Absolute Deviation (MAD)14.525
Skewness0.67983172
Sum15132.48
Variance367.94887
MonotonicityNot monotonic
2023-12-12T23:20:18.500243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65.31 2
 
1.1%
68.09 2
 
1.1%
65.63 2
 
1.1%
111.01 2
 
1.1%
111.85 1
 
0.6%
80.93 1
 
0.6%
116.95 1
 
0.6%
107.9 1
 
0.6%
82.15 1
 
0.6%
80.43 1
 
0.6%
Other values (166) 166
92.2%
ValueCountFrequency (%)
57.37 1
0.6%
60.14 1
0.6%
60.6 1
0.6%
61.16 1
0.6%
61.24 1
0.6%
61.56 1
0.6%
61.62 1
0.6%
61.79 1
0.6%
62.34 1
0.6%
62.4 1
0.6%
ValueCountFrequency (%)
134.63 1
0.6%
133.86 1
0.6%
123.61 1
0.6%
123.51 1
0.6%
122.21 1
0.6%
121.93 1
0.6%
121.19 1
0.6%
120.93 1
0.6%
120.88 1
0.6%
118.94 1
0.6%

판매량(최대부하)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct180
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1340523.9
Minimum287
Maximum6368171
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T23:20:18.659817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum287
5-th percentile717.3
Q1133701.25
median443353.5
Q32300451
95-th percentile5266106.3
Maximum6368171
Range6367884
Interquartile range (IQR)2166749.8

Descriptive statistics

Standard deviation1723979.1
Coefficient of variation (CV)1.2860488
Kurtosis0.42513306
Mean1340523.9
Median Absolute Deviation (MAD)437757.5
Skewness1.3060295
Sum2.412943 × 108
Variance2.9721041 × 1012
MonotonicityNot monotonic
2023-12-12T23:20:18.836923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3500272 1
 
0.6%
8202 1
 
0.6%
5080438 1
 
0.6%
4808270 1
 
0.6%
1263315 1
 
0.6%
899974 1
 
0.6%
6368171 1
 
0.6%
235603 1
 
0.6%
436921 1
 
0.6%
1073 1
 
0.6%
Other values (170) 170
94.4%
ValueCountFrequency (%)
287 1
0.6%
376 1
0.6%
430 1
0.6%
466 1
0.6%
482 1
0.6%
504 1
0.6%
528 1
0.6%
589 1
0.6%
685 1
0.6%
719 1
0.6%
ValueCountFrequency (%)
6368171 1
0.6%
5989760 1
0.6%
5716938 1
0.6%
5501795 1
0.6%
5460719 1
0.6%
5394191 1
0.6%
5377003 1
0.6%
5341342 1
0.6%
5338388 1
0.6%
5262302 1
0.6%

사용량단가(최대부하)
Real number (ℝ)

HIGH CORRELATION 

Distinct178
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.30928
Minimum62.09
Maximum213.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T23:20:19.000225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum62.09
5-th percentile66.719
Q172.7725
median111.06
Q3136.425
95-th percentile170.8225
Maximum213.79
Range151.7
Interquartile range (IQR)63.6525

Descriptive statistics

Standard deviation36.681544
Coefficient of variation (CV)0.33253363
Kurtosis-0.66950885
Mean110.30928
Median Absolute Deviation (MAD)35.115
Skewness0.50182384
Sum19855.67
Variance1345.5357
MonotonicityNot monotonic
2023-12-12T23:20:19.184937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71.33 2
 
1.1%
69.94 2
 
1.1%
161.76 1
 
0.6%
130.14 1
 
0.6%
130.99 1
 
0.6%
112.03 1
 
0.6%
162.01 1
 
0.6%
114.86 1
 
0.6%
151.07 1
 
0.6%
148.37 1
 
0.6%
Other values (168) 168
93.3%
ValueCountFrequency (%)
62.09 1
0.6%
62.35 1
0.6%
64.64 1
0.6%
64.7 1
0.6%
65.8 1
0.6%
66.21 1
0.6%
66.28 1
0.6%
66.5 1
0.6%
66.7 1
0.6%
66.72 1
0.6%
ValueCountFrequency (%)
213.79 1
0.6%
210.46 1
0.6%
194.13 1
0.6%
186.98 1
0.6%
184.46 1
0.6%
183.28 1
0.6%
179.99 1
0.6%
177.75 1
0.6%
173.72 1
0.6%
170.67 1
0.6%

판매량
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct180
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7129195.7
Minimum1296
Maximum34558853
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T23:20:19.358117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1296
5-th percentile2766.6
Q1564715.75
median1997059
Q312389925
95-th percentile27817547
Maximum34558853
Range34557557
Interquartile range (IQR)11825209

Descriptive statistics

Standard deviation9411170.1
Coefficient of variation (CV)1.3200886
Kurtosis0.40958941
Mean7129195.7
Median Absolute Deviation (MAD)1972865
Skewness1.3018756
Sum1.2832552 × 109
Variance8.8570123 × 1013
MonotonicityNot monotonic
2023-12-12T23:20:19.832690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17898751 1
 
0.6%
33653 1
 
0.6%
20963061 1
 
0.6%
24654422 1
 
0.6%
5317850 1
 
0.6%
3680535 1
 
0.6%
31964237 1
 
0.6%
1083671 1
 
0.6%
1981999 1
 
0.6%
3315 1
 
0.6%
Other values (170) 170
94.4%
ValueCountFrequency (%)
1296 1
0.6%
1763 1
0.6%
1930 1
0.6%
1975 1
0.6%
2081 1
0.6%
2183 1
0.6%
2271 1
0.6%
2397 1
0.6%
2455 1
0.6%
2783 1
0.6%
ValueCountFrequency (%)
34558853 1
0.6%
32098408 1
0.6%
31964237 1
0.6%
31566518 1
0.6%
31561866 1
0.6%
30833430 1
0.6%
29300216 1
0.6%
29151187 1
0.6%
27973833 1
0.6%
27809321 1
0.6%

판매단가
Real number (ℝ)

HIGH CORRELATION 

Distinct179
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152.87528
Minimum94.25
Maximum433.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T23:20:19.987234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94.25
5-th percentile105.148
Q1126.0875
median144.115
Q3171.215
95-th percentile219.2035
Maximum433.75
Range339.5
Interquartile range (IQR)45.1275

Descriptive statistics

Standard deviation42.851826
Coefficient of variation (CV)0.28030579
Kurtosis11.415642
Mean152.87528
Median Absolute Deviation (MAD)23.325
Skewness2.4352623
Sum27517.55
Variance1836.279
MonotonicityNot monotonic
2023-12-12T23:20:20.147246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
174.58 2
 
1.1%
155.76 1
 
0.6%
171.95 1
 
0.6%
190.17 1
 
0.6%
145.69 1
 
0.6%
123.88 1
 
0.6%
170.97 1
 
0.6%
143.23 1
 
0.6%
118.04 1
 
0.6%
127.3 1
 
0.6%
Other values (169) 169
93.9%
ValueCountFrequency (%)
94.25 1
0.6%
95.57 1
0.6%
96.28 1
0.6%
97.3 1
0.6%
98.42 1
0.6%
99.04 1
0.6%
101.18 1
0.6%
102.6 1
0.6%
104.73 1
0.6%
105.17 1
0.6%
ValueCountFrequency (%)
433.75 1
0.6%
337.03 1
0.6%
307.5 1
0.6%
238.31 1
0.6%
230.87 1
0.6%
226.58 1
0.6%
224.19 1
0.6%
223.66 1
0.6%
221.36 1
0.6%
219.09 1
0.6%

Interactions

2023-12-12T23:20:15.581450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:08.857396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:09.714133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:10.436704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:11.190508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:12.445833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:13.691969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:14.522152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:15.669488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:08.989974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:09.808277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:10.533693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:11.364801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:12.599523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:13.827848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:14.928304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:15.766354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:09.107745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:09.897652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:10.630235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:11.496768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:12.760652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:13.938848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:15.020553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:15.863043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:09.201294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:09.984411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:10.703747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:11.639523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:12.905726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:14.039010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:15.110040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:15.965809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:09.314728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:10.077403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:10.794057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:11.772227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:13.051351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:14.131424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:15.204162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:16.057974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:09.413559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:10.173595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:10.892458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:11.925324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:13.203510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:14.231665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:15.294449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:16.162278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:09.534594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:10.264123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:10.994805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:12.105433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:13.362993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:14.331570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:15.384065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:16.263786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:09.622515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:10.355700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:11.081052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:12.283773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:13.519661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:14.433607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:20:15.488009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:20:20.245367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분충전요금선택요금판매량(경부하)사용량단가(경부하)판매량(중부하)사용량단가(중부하)판매량(최대부하)사용량단가(최대부하)판매량판매단가
구분1.0000.0000.0000.0000.6040.3550.7590.2330.7610.0000.321
충전요금0.0001.0000.0000.5400.0000.6560.0830.6490.3130.4900.156
선택요금0.0000.0001.0000.7140.7230.6390.5620.6930.5400.5340.348
판매량(경부하)0.0000.5400.7141.0000.0000.9210.0000.9010.4340.8940.390
사용량단가(경부하)0.6040.0000.7230.0001.0000.6160.7810.4350.7070.0000.430
판매량(중부하)0.3550.6560.6390.9210.6161.0000.3850.9570.4810.8820.000
사용량단가(중부하)0.7590.0830.5620.0000.7810.3851.0000.3810.8830.0000.442
판매량(최대부하)0.2330.6490.6930.9010.4350.9570.3811.0000.4260.8550.000
사용량단가(최대부하)0.7610.3130.5400.4340.7070.4810.8830.4261.0000.1630.295
판매량0.0000.4900.5340.8940.0000.8820.0000.8550.1631.0000.023
판매단가0.3210.1560.3480.3900.4300.0000.4420.0000.2950.0231.000
2023-12-12T23:20:20.367464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분충전요금선택요금
구분1.0000.0000.000
충전요금0.0001.0000.000
선택요금0.0000.0001.000
2023-12-12T23:20:20.466386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
판매량(경부하)사용량단가(경부하)판매량(중부하)사용량단가(중부하)판매량(최대부하)사용량단가(최대부하)판매량판매단가구분충전요금선택요금
판매량(경부하)1.000-0.1540.9910.0240.9850.1230.996-0.1720.0000.4080.369
사용량단가(경부하)-0.1541.000-0.1530.614-0.1120.292-0.1450.5390.2740.0000.377
판매량(중부하)0.991-0.1531.0000.0400.9950.1180.998-0.1310.1380.5000.312
사용량단가(중부하)0.0240.6140.0401.0000.0740.7780.0370.5920.4050.0600.262
판매량(최대부하)0.985-0.1120.9950.0741.0000.1410.994-0.1040.0820.4940.352
사용량단가(최대부하)0.1230.2920.1180.7780.1411.0000.1220.4010.4060.2340.250
판매량0.996-0.1450.9980.0370.9940.1221.000-0.1460.0000.4830.340
판매단가-0.1720.539-0.1310.592-0.1040.401-0.1461.0000.1340.1140.219
구분0.0000.2740.1380.4050.0820.4060.0000.1341.0000.0000.000
충전요금0.4080.0000.5000.0600.4940.2340.4830.1140.0001.0000.000
선택요금0.3690.3770.3120.2620.3520.2500.3400.2190.0000.0001.000

Missing values

2023-12-12T23:20:16.472813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:20:16.658150image/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

구분충전요금선택요금판매량(경부하)사용량단가(경부하)판매량(중부하)사용량단가(중부하)판매량(최대부하)사용량단가(최대부하)판매량판매단가
0Jan-21자가용대상아님826217375.496136306111.853500272161.7617898751155.76
1Jan-21자가용선택요금123753374.9823193796.33137063112.8606533133.0
2Jan-21자가용선택요금252127669.3548312879.62269686147.931274090134.54
3Jan-21자가용선택요금3120380.5149384.18848140.853544179.44
4Jan-21자가용선택요금46333112.810240114.477637115.8324210213.57
5Jan-21사업자용대상아님83941474.59974966113.77479092164.072293472155.11
6Jan-21사업자용선택요금1406179678.764830426107.442598101130.1211490323219.09
7Jan-21사업자용선택요금2601198068.74391115182.562207423155.9112130554174.58
8Jan-21사업자용선택요금348029079.9747928282.95270145136.381229717160.12
9Jan-21사업자용선택요금4710500113.26841966114.86513541113.192066007202.64
구분충전요금선택요금판매량(경부하)사용량단가(경부하)판매량(중부하)사용량단가(중부하)판매량(최대부하)사용량단가(최대부하)판매량판매단가
170Jun-22자가용대상아님1784177755.811121528196.75501795133.2534558853124.92
171Jun-22자가용선택요금132654362.430008299.64175219120.32801844121.94
172Jun-22자가용선택요금251242452.842639980.87198214150.211137037132.68
173Jun-22자가용선택요금383359.23115175.0528797.442271433.75
174Jun-22자가용선택요금418614100.4816494101.16702399.7842131160.26
175Jun-22사업자용대상아님73646955.55875187100.13472242137.382083898168.81
176Jun-22사업자용선택요금1941421760.83978318692.335377003112.324574406167.72
177Jun-22사업자용선택요금21682006052.831087464477.853871814134.3131566518126.17
178Jun-22사업자용선택요금3224789056.99215152580.571027712130.045427127116.26
179Jun-22사업자용선택요금4257871892.98254497194.61132616197.166449850144.64