Overview

Dataset statistics

Number of variables15
Number of observations30
Missing cells30
Missing cells (%)6.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory131.4 B

Variable types

Categorical11
Unsupported1
Numeric3

Dataset

Description샘플 데이터
Author펌프킨
URLhttps://bigdata-region.kr/#/dataset/8f0c34d7-230b-4ef9-9442-294f3965a320

Alerts

비고 has constant value ""Constant
생산_일시 has constant value ""Constant
충전소_ID is highly overall correlated with 시작_SOC and 8 other fieldsHigh correlation
시군구_코드 is highly overall correlated with 시작_SOC and 8 other fieldsHigh correlation
시군구_명 is highly overall correlated with 시작_SOC and 8 other fieldsHigh correlation
시도_명 is highly overall correlated with 시작_SOC and 7 other fieldsHigh correlation
시도_코드 is highly overall correlated with 시작_SOC and 7 other fieldsHigh correlation
시작_SOC is highly overall correlated with 충전소_ID and 7 other fieldsHigh correlation
공급_전압 is highly overall correlated with 충전기_IDHigh correlation
공급_전류 is highly overall correlated with 충전소_ID and 6 other fieldsHigh correlation
충전기_ID is highly overall correlated with 시작_SOC and 9 other fieldsHigh correlation
충전건 is highly overall correlated with 시작_SOC and 5 other fieldsHigh correlation
시작_일시 is highly overall correlated with 시작_SOC and 8 other fieldsHigh correlation
종료_일시 has 30 (100.0%) missing valuesMissing
종료_일시 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공급_전류 has 4 (13.3%) zerosZeros

Reproduction

Analysis started2023-12-10 13:50:47.131577
Analysis finished2023-12-10 13:50:51.103653
Duration3.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

충전_일시
Categorical

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2022-01-01 00:00:10
5 
2022-01-01 00:00:04
4 
2022-01-01 00:00:05
4 
2022-01-01 00:00:03
3 
2022-01-01 00:00:11
3 
Other values (7)
11 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique3 ?
Unique (%)10.0%

Sample

1st row2022-01-01 00:00:01
2nd row2022-01-01 00:00:02
3rd row2022-01-01 00:00:02
4th row2022-01-01 00:00:03
5th row2022-01-01 00:00:03

Common Values

ValueCountFrequency (%)
2022-01-01 00:00:10 5
16.7%
2022-01-01 00:00:04 4
13.3%
2022-01-01 00:00:05 4
13.3%
2022-01-01 00:00:03 3
10.0%
2022-01-01 00:00:11 3
10.0%
2022-01-01 00:00:02 2
 
6.7%
2022-01-01 00:00:07 2
 
6.7%
2022-01-01 00:00:12 2
 
6.7%
2022-01-01 00:00:13 2
 
6.7%
2022-01-01 00:00:01 1
 
3.3%
Other values (2) 2
 
6.7%

Length

2023-12-10T22:50:51.209563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2022-01-01 30
50.0%
00:00:10 5
 
8.3%
00:00:04 4
 
6.7%
00:00:05 4
 
6.7%
00:00:03 3
 
5.0%
00:00:11 3
 
5.0%
00:00:02 2
 
3.3%
00:00:07 2
 
3.3%
00:00:12 2
 
3.3%
00:00:13 2
 
3.3%
Other values (3) 3
 
5.0%

충전소_ID
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
KRPPKCS0051
18 
KRPPKCS0100
3 
KRPPKCS0036
3 
KRPPKCS0010
3 
KRPPKCS0057
3 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKRPPKCS0100
2nd rowKRPPKCS0051
3rd rowKRPPKCS0051
4th rowKRPPKCS0051
5th rowKRPPKCS0100

Common Values

ValueCountFrequency (%)
KRPPKCS0051 18
60.0%
KRPPKCS0100 3
 
10.0%
KRPPKCS0036 3
 
10.0%
KRPPKCS0010 3
 
10.0%
KRPPKCS0057 3
 
10.0%

Length

2023-12-10T22:50:51.399836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:50:51.575014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
krppkcs0051 18
60.0%
krppkcs0100 3
 
10.0%
krppkcs0036 3
 
10.0%
krppkcs0010 3
 
10.0%
krppkcs0057 3
 
10.0%

충전기_ID
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
KRPPKCP0322
5 
KRPPKCP0325
4 
KRPPKCP0321
4 
KRPPKCP0726
3 
KRPPKCP0326
3 
Other values (5)
11 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st rowKRPPKCP0726
2nd rowKRPPKCP0325
3rd rowKRPPKCP0322
4th rowKRPPKCP0325
5th rowKRPPKCP0726

Common Values

ValueCountFrequency (%)
KRPPKCP0322 5
16.7%
KRPPKCP0325 4
13.3%
KRPPKCP0321 4
13.3%
KRPPKCP0726 3
10.0%
KRPPKCP0326 3
10.0%
KRPPKCP0223 3
10.0%
KRPPKCP0368 3
10.0%
KRPPKCP0324 2
 
6.7%
KRPPKCP0396 2
 
6.7%
KRPPKCP0406 1
 
3.3%

Length

2023-12-10T22:50:51.779629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:50:51.963254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
krppkcp0322 5
16.7%
krppkcp0325 4
13.3%
krppkcp0321 4
13.3%
krppkcp0726 3
10.0%
krppkcp0326 3
10.0%
krppkcp0223 3
10.0%
krppkcp0368 3
10.0%
krppkcp0324 2
 
6.7%
krppkcp0396 2
 
6.7%
krppkcp0406 1
 
3.3%

충전건
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2
16 
1
14 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row1
4th row1
5th row2

Common Values

ValueCountFrequency (%)
2 16
53.3%
1 14
46.7%

Length

2023-12-10T22:50:52.168894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:50:52.322369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 16
53.3%
1 14
46.7%

시도_코드
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
48
18 
41
6 
27
3 
50
3 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row41
2nd row48
3rd row48
4th row48
5th row41

Common Values

ValueCountFrequency (%)
48 18
60.0%
41 6
 
20.0%
27 3
 
10.0%
50 3
 
10.0%

Length

2023-12-10T22:50:52.496471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:50:52.658701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
48 18
60.0%
41 6
 
20.0%
27 3
 
10.0%
50 3
 
10.0%

시군구_코드
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
123
18 
190
3 
290
3 
111
3 
110
3 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row190
2nd row123
3rd row123
4th row123
5th row190

Common Values

ValueCountFrequency (%)
123 18
60.0%
190 3
 
10.0%
290 3
 
10.0%
111 3
 
10.0%
110 3
 
10.0%

Length

2023-12-10T22:50:52.844880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:50:53.019681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
123 18
60.0%
190 3
 
10.0%
290 3
 
10.0%
111 3
 
10.0%
110 3
 
10.0%

시도_명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
경상남도
18 
경기도
6 
대구광역시
3 
제주특별자치도
3 

Length

Max length7
Median length4
Mean length4.2
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도
2nd row경상남도
3rd row경상남도
4th row경상남도
5th row경기도

Common Values

ValueCountFrequency (%)
경상남도 18
60.0%
경기도 6
 
20.0%
대구광역시 3
 
10.0%
제주특별자치도 3
 
10.0%

Length

2023-12-10T22:50:53.231233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:50:53.517994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 18
60.0%
경기도 6
 
20.0%
대구광역시 3
 
10.0%
제주특별자치도 3
 
10.0%

시군구_명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
창원시
18 
부천시
3 
달서구
3 
수원시
3 
제주시
3 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부천시
2nd row창원시
3rd row창원시
4th row창원시
5th row부천시

Common Values

ValueCountFrequency (%)
창원시 18
60.0%
부천시 3
 
10.0%
달서구 3
 
10.0%
수원시 3
 
10.0%
제주시 3
 
10.0%

Length

2023-12-10T22:50:53.713755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:50:53.889284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
창원시 18
60.0%
부천시 3
 
10.0%
달서구 3
 
10.0%
수원시 3
 
10.0%
제주시 3
 
10.0%

시작_일시
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2022-01-01 00:00:10
7 
2022-01-01 00:00:02
6 
2022-01-01 00:00:04
5 
2022-01-01 00:00:01
3 
2022-01-01 00:00:05
3 
Other values (3)
6 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row2022-01-01 00:00:01
2nd row2022-01-01 00:00:02
3rd row2022-01-01 00:00:02
4th row2022-01-01 00:00:02
5th row2022-01-01 00:00:01

Common Values

ValueCountFrequency (%)
2022-01-01 00:00:10 7
23.3%
2022-01-01 00:00:02 6
20.0%
2022-01-01 00:00:04 5
16.7%
2022-01-01 00:00:01 3
10.0%
2022-01-01 00:00:05 3
10.0%
2022-01-01 00:00:08 3
10.0%
2022-01-01 00:00:03 2
 
6.7%
2022-01-01 00:00:13 1
 
3.3%

Length

2023-12-10T22:50:54.131019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:50:54.406117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-01-01 30
50.0%
00:00:10 7
 
11.7%
00:00:02 6
 
10.0%
00:00:04 5
 
8.3%
00:00:01 3
 
5.0%
00:00:05 3
 
5.0%
00:00:08 3
 
5.0%
00:00:03 2
 
3.3%
00:00:13 1
 
1.7%

종료_일시
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

시작_SOC
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.766667
Minimum21
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:50:54.598738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile21
Q147.75
median62.5
Q379.25
95-th percentile95.65
Maximum97
Range76
Interquartile range (IQR)31.5

Descriptive statistics

Standard deviation22.69389
Coefficient of variation (CV)0.35588955
Kurtosis-0.62042474
Mean63.766667
Median Absolute Deviation (MAD)17.5
Skewness-0.25655453
Sum1913
Variance515.01264
MonotonicityNot monotonic
2023-12-10T22:50:54.795783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
94 4
13.3%
21 3
10.0%
56 3
10.0%
42 3
10.0%
77 3
10.0%
69 3
10.0%
45 2
6.7%
80 2
6.7%
57 2
6.7%
59 2
6.7%
Other values (2) 3
10.0%
ValueCountFrequency (%)
21 3
10.0%
42 3
10.0%
45 2
6.7%
56 3
10.0%
57 2
6.7%
59 2
6.7%
66 1
 
3.3%
69 3
10.0%
77 3
10.0%
80 2
6.7%
ValueCountFrequency (%)
97 2
6.7%
94 4
13.3%
80 2
6.7%
77 3
10.0%
69 3
10.0%
66 1
 
3.3%
59 2
6.7%
57 2
6.7%
56 3
10.0%
45 2
6.7%

공급_전압
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean685.06667
Minimum162
Maximum803
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:50:55.009991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum162
5-th percentile607
Q1667.75
median674
Q3754
95-th percentile793.55
Maximum803
Range641
Interquartile range (IQR)86.25

Descriptive statistics

Standard deviation114.6596
Coefficient of variation (CV)0.16736998
Kurtosis15.241001
Mean685.06667
Median Absolute Deviation (MAD)63
Skewness-3.3652914
Sum20552
Variance13146.823
MonotonicityNot monotonic
2023-12-10T22:50:55.204890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
674 4
13.3%
756 3
10.0%
607 3
10.0%
671 3
10.0%
737 2
 
6.7%
782 2
 
6.7%
754 2
 
6.7%
667 2
 
6.7%
803 2
 
6.7%
735 1
 
3.3%
Other values (6) 6
20.0%
ValueCountFrequency (%)
162 1
 
3.3%
607 3
10.0%
637 1
 
3.3%
639 1
 
3.3%
667 2
6.7%
670 1
 
3.3%
671 3
10.0%
674 4
13.3%
678 1
 
3.3%
735 1
 
3.3%
ValueCountFrequency (%)
803 2
6.7%
782 2
6.7%
756 3
10.0%
754 2
6.7%
747 1
 
3.3%
737 2
6.7%
735 1
 
3.3%
678 1
 
3.3%
674 4
13.3%
671 3
10.0%

공급_전류
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.83333
Minimum0
Maximum179
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:50:55.496950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q199
median147
Q3148
95-th percentile179
Maximum179
Range179
Interquartile range (IQR)49

Descriptive statistics

Standard deviation56.304641
Coefficient of variation (CV)0.49031618
Kurtosis0.051839554
Mean114.83333
Median Absolute Deviation (MAD)23.5
Skewness-1.1173881
Sum3445
Variance3170.2126
MonotonicityNot monotonic
2023-12-10T22:50:55.761259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
148 6
20.0%
149 4
13.3%
147 4
13.3%
0 4
13.3%
99 3
10.0%
179 3
10.0%
123 2
 
6.7%
62 2
 
6.7%
45 1
 
3.3%
124 1
 
3.3%
ValueCountFrequency (%)
0 4
13.3%
45 1
 
3.3%
62 2
 
6.7%
99 3
10.0%
123 2
 
6.7%
124 1
 
3.3%
147 4
13.3%
148 6
20.0%
149 4
13.3%
179 3
10.0%
ValueCountFrequency (%)
179 3
10.0%
149 4
13.3%
148 6
20.0%
147 4
13.3%
124 1
 
3.3%
123 2
 
6.7%
99 3
10.0%
62 2
 
6.7%
45 1
 
3.3%
0 4
13.3%

비고
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2022-08-25 전기차 배터리 충전 공급 전압/전류
30 

Length

Max length30
Median length30
Mean length30
Min length30

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-08-25 전기차 배터리 충전 공급 전압/전류
2nd row2022-08-25 전기차 배터리 충전 공급 전압/전류
3rd row2022-08-25 전기차 배터리 충전 공급 전압/전류
4th row2022-08-25 전기차 배터리 충전 공급 전압/전류
5th row2022-08-25 전기차 배터리 충전 공급 전압/전류

Common Values

ValueCountFrequency (%)
2022-08-25 전기차 배터리 충전 공급 전압/전류 30
100.0%

Length

2023-12-10T22:50:56.011576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:50:56.178060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-08-25 30
16.7%
전기차 30
16.7%
배터리 30
16.7%
충전 30
16.7%
공급 30
16.7%
전압/전류 30
16.7%

생산_일시
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2022-08-25 13:00:32
30 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-08-25 13:00:32
2nd row2022-08-25 13:00:32
3rd row2022-08-25 13:00:32
4th row2022-08-25 13:00:32
5th row2022-08-25 13:00:32

Common Values

ValueCountFrequency (%)
2022-08-25 13:00:32 30
100.0%

Length

2023-12-10T22:50:56.352927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:50:56.512517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-08-25 30
50.0%
13:00:32 30
50.0%

Interactions

2023-12-10T22:50:49.641681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:50:48.567366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:50:49.181497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:50:49.803057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:50:48.761094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:50:49.336138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:50:49.985977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:50:48.984417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:50:49.487385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:50:56.625148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
충전_일시충전소_ID충전기_ID충전건시도_코드시군구_코드시도_명시군구_명시작_일시시작_SOC공급_전압공급_전류
충전_일시1.0000.0000.0000.6990.0000.0000.0000.0000.5940.0000.0000.000
충전소_ID0.0001.0001.0000.4601.0001.0001.0001.0000.8830.9390.2950.888
충전기_ID0.0001.0001.0000.9181.0001.0001.0001.0000.9680.9600.9010.915
충전건0.6990.4600.9181.0000.5010.4600.5010.4601.0000.9770.4750.474
시도_코드0.0001.0001.0000.5011.0001.0001.0001.0000.9740.9970.6060.890
시군구_코드0.0001.0001.0000.4601.0001.0001.0001.0000.8830.9390.2950.888
시도_명0.0001.0001.0000.5011.0001.0001.0001.0000.9740.9970.6060.890
시군구_명0.0001.0001.0000.4601.0001.0001.0001.0000.8830.9390.2950.888
시작_일시0.5940.8830.9681.0000.9740.8830.9740.8831.0000.9860.8470.783
시작_SOC0.0000.9390.9600.9770.9970.9390.9970.9390.9861.0000.8340.803
공급_전압0.0000.2950.9010.4750.6060.2950.6060.2950.8470.8341.0000.762
공급_전류0.0000.8880.9150.4740.8900.8880.8900.8880.7830.8030.7621.000
2023-12-10T22:50:56.880636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
충전소_ID시군구_코드시군구_명충전기_ID시도_명충전건시작_일시충전_일시시도_코드
충전소_ID1.0001.0001.0000.8940.9810.5260.7440.0000.981
시군구_코드1.0001.0001.0000.8940.9810.5260.7440.0000.981
시군구_명1.0001.0001.0000.8940.9810.5260.7440.0000.981
충전기_ID0.8940.8940.8941.0000.8770.6400.8550.0000.877
시도_명0.9810.9810.9810.8771.0000.3230.7180.0001.000
충전건0.5260.5260.5260.6400.3231.0000.8860.4330.323
시작_일시0.7440.7440.7440.8550.7180.8861.0000.2400.718
충전_일시0.0000.0000.0000.0000.0000.4330.2401.0000.000
시도_코드0.9810.9810.9810.8771.0000.3230.7180.0001.000
2023-12-10T22:50:57.122793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시작_SOC공급_전압공급_전류충전_일시충전소_ID충전기_ID충전건시도_코드시군구_코드시도_명시군구_명시작_일시
시작_SOC1.0000.230-0.1370.0000.8480.8320.7670.8530.8480.8530.8480.801
공급_전압0.2301.0000.4160.0000.2910.5990.3050.3730.2910.3730.2910.375
공급_전류-0.1370.4161.0000.0000.7890.7280.4550.7890.7890.7890.7890.551
충전_일시0.0000.0000.0001.0000.0000.0000.4330.0000.0000.0000.0000.240
충전소_ID0.8480.2910.7890.0001.0000.8940.5260.9811.0000.9811.0000.744
충전기_ID0.8320.5990.7280.0000.8941.0000.6400.8770.8940.8770.8940.855
충전건0.7670.3050.4550.4330.5260.6401.0000.3230.5260.3230.5260.886
시도_코드0.8530.3730.7890.0000.9810.8770.3231.0000.9811.0000.9810.718
시군구_코드0.8480.2910.7890.0001.0000.8940.5260.9811.0000.9811.0000.744
시도_명0.8530.3730.7890.0000.9810.8770.3231.0000.9811.0000.9810.718
시군구_명0.8480.2910.7890.0001.0000.8940.5260.9811.0000.9811.0000.744
시작_일시0.8010.3750.5510.2400.7440.8550.8860.7180.7440.7180.7441.000

Missing values

2023-12-10T22:50:50.658150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:50:50.991447image/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

충전_일시충전소_ID충전기_ID충전건시도_코드시군구_코드시도_명시군구_명시작_일시종료_일시시작_SOC공급_전압공급_전류비고생산_일시
02022-01-01 00:00:01KRPPKCS0100KRPPKCP0726241190경기도부천시2022-01-01 00:00:01<NA>216781492022-08-25 전기차 배터리 충전 공급 전압/전류2022-08-25 13:00:32
12022-01-01 00:00:02KRPPKCS0051KRPPKCP0325148123경상남도창원시2022-01-01 00:00:02<NA>946741472022-08-25 전기차 배터리 충전 공급 전압/전류2022-08-25 13:00:32
22022-01-01 00:00:02KRPPKCS0051KRPPKCP0322148123경상남도창원시2022-01-01 00:00:02<NA>457371482022-08-25 전기차 배터리 충전 공급 전압/전류2022-08-25 13:00:32
32022-01-01 00:00:03KRPPKCS0051KRPPKCP0325148123경상남도창원시2022-01-01 00:00:02<NA>946741472022-08-25 전기차 배터리 충전 공급 전압/전류2022-08-25 13:00:32
42022-01-01 00:00:03KRPPKCS0100KRPPKCP0726241190경기도부천시2022-01-01 00:00:01<NA>2163702022-08-25 전기차 배터리 충전 공급 전압/전류2022-08-25 13:00:32
52022-01-01 00:00:03KRPPKCS0051KRPPKCP0324248123경상남도창원시2022-01-01 00:00:03<NA>807821482022-08-25 전기차 배터리 충전 공급 전압/전류2022-08-25 13:00:32
62022-01-01 00:00:04KRPPKCS0051KRPPKCP0326248123경상남도창원시2022-01-01 00:00:04<NA>56607992022-08-25 전기차 배터리 충전 공급 전압/전류2022-08-25 13:00:32
72022-01-01 00:00:04KRPPKCS0051KRPPKCP0321248123경상남도창원시2022-01-01 00:00:04<NA>577541482022-08-25 전기차 배터리 충전 공급 전압/전류2022-08-25 13:00:32
82022-01-01 00:00:04KRPPKCS0051KRPPKCP0322148123경상남도창원시2022-01-01 00:00:02<NA>457371482022-08-25 전기차 배터리 충전 공급 전압/전류2022-08-25 13:00:32
92022-01-01 00:00:04KRPPKCS0100KRPPKCP0726241190경기도부천시2022-01-01 00:00:01<NA>2163902022-08-25 전기차 배터리 충전 공급 전압/전류2022-08-25 13:00:32
충전_일시충전소_ID충전기_ID충전건시도_코드시군구_코드시도_명시군구_명시작_일시종료_일시시작_SOC공급_전압공급_전류비고생산_일시
202022-01-01 00:00:10KRPPKCS0051KRPPKCP0321148123경상남도창원시2022-01-01 00:00:10<NA>97803622022-08-25 전기차 배터리 충전 공급 전압/전류2022-08-25 13:00:32
212022-01-01 00:00:10KRPPKCS0036KRPPKCP0223227290대구광역시달서구2022-01-01 00:00:05<NA>427561792022-08-25 전기차 배터리 충전 공급 전압/전류2022-08-25 13:00:32
222022-01-01 00:00:10KRPPKCS0057KRPPKCP0368150110제주특별자치도제주시2022-01-01 00:00:10<NA>6916202022-08-25 전기차 배터리 충전 공급 전압/전류2022-08-25 13:00:32
232022-01-01 00:00:11KRPPKCS0051KRPPKCP0322248123경상남도창원시2022-01-01 00:00:08<NA>776711492022-08-25 전기차 배터리 충전 공급 전압/전류2022-08-25 13:00:32
242022-01-01 00:00:11KRPPKCS0051KRPPKCP0325148123경상남도창원시2022-01-01 00:00:02<NA>946741472022-08-25 전기차 배터리 충전 공급 전압/전류2022-08-25 13:00:32
252022-01-01 00:00:11KRPPKCS0051KRPPKCP0321148123경상남도창원시2022-01-01 00:00:10<NA>97803622022-08-25 전기차 배터리 충전 공급 전압/전류2022-08-25 13:00:32
262022-01-01 00:00:12KRPPKCS0057KRPPKCP0368150110제주특별자치도제주시2022-01-01 00:00:10<NA>6973502022-08-25 전기차 배터리 충전 공급 전압/전류2022-08-25 13:00:32
272022-01-01 00:00:12KRPPKCS0010KRPPKCP0396141111경기도수원시2022-01-01 00:00:10<NA>596671232022-08-25 전기차 배터리 충전 공급 전압/전류2022-08-25 13:00:32
282022-01-01 00:00:13KRPPKCS0057KRPPKCP0368150110제주특별자치도제주시2022-01-01 00:00:10<NA>69747452022-08-25 전기차 배터리 충전 공급 전압/전류2022-08-25 13:00:32
292022-01-01 00:00:13KRPPKCS0010KRPPKCP0406141111경기도수원시2022-01-01 00:00:13<NA>666701242022-08-25 전기차 배터리 충전 공급 전압/전류2022-08-25 13:00:32