Overview

Dataset statistics

Number of variables5
Number of observations6032
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory247.5 KiB
Average record size in memory42.0 B

Variable types

Numeric2
Boolean1
DateTime2

Dataset

Description한국전력공사에서 운영하는 전기차충전서비스운영시스템의 충전기정보입니다. 충전소ID, 운영여부, 등록일자, 변경일자 칼럼으로 구성되어 있습니다.
URLhttps://www.data.go.kr/data/15117027/fileData.do

Reproduction

Analysis started2023-12-12 19:25:36.797463
Analysis finished2023-12-12 19:25:37.732466
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

충전소ID
Real number (ℝ)

Distinct5032
Distinct (%)83.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2828.7172
Minimum2
Maximum5712
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.1 KiB
2023-12-13T04:25:37.805368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile310.55
Q11421.75
median2811
Q34249.25
95-th percentile5366.45
Maximum5712
Range5710
Interquartile range (IQR)2827.5

Descriptive statistics

Standard deviation1629.591
Coefficient of variation (CV)0.57608833
Kurtosis-1.1938137
Mean2828.7172
Median Absolute Deviation (MAD)1409.5
Skewness0.027728704
Sum17062822
Variance2655566.7
MonotonicityNot monotonic
2023-12-13T04:25:37.973991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58 7
 
0.1%
466 5
 
0.1%
655 4
 
0.1%
4150 4
 
0.1%
595 4
 
0.1%
13 4
 
0.1%
44 4
 
0.1%
2328 4
 
0.1%
482 4
 
0.1%
652 4
 
0.1%
Other values (5022) 5988
99.3%
ValueCountFrequency (%)
2 2
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
10 2
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
ValueCountFrequency (%)
5712 1
< 0.1%
5711 1
< 0.1%
5710 1
< 0.1%
5709 1
< 0.1%
5708 1
< 0.1%
5706 1
< 0.1%
5705 1
< 0.1%
5704 1
< 0.1%
5703 1
< 0.1%
5702 1
< 0.1%

고객번호순번
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.179874
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.1 KiB
2023-12-13T04:25:38.106483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum7
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4366399
Coefficient of variation (CV)0.37007333
Kurtosis14.741456
Mean1.179874
Median Absolute Deviation (MAD)0
Skewness2.9954645
Sum7117
Variance0.1906544
MonotonicityNot monotonic
2023-12-13T04:25:38.229707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 5044
83.6%
2 913
 
15.1%
3 60
 
1.0%
4 11
 
0.2%
5 2
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
1 5044
83.6%
2 913
 
15.1%
3 60
 
1.0%
4 11
 
0.2%
5 2
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
7 1
 
< 0.1%
6 1
 
< 0.1%
5 2
 
< 0.1%
4 11
 
0.2%
3 60
 
1.0%
2 913
 
15.1%
1 5044
83.6%

사용여부
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
True
5034 
False
998 
ValueCountFrequency (%)
True 5034
83.5%
False 998
 
16.5%
2023-12-13T04:25:38.344425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

등록일시
Date

Distinct4491
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
Minimum2017-11-10 01:42:33
Maximum2023-07-10 02:39:00
2023-12-13T04:25:38.801756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:25:38.993004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

변경일시
Date

Distinct1423
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Memory size47.3 KiB
Minimum2017-11-10 01:43:21
Maximum2023-07-12 11:16:06
2023-12-13T04:25:39.137445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:25:39.288142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-13T04:25:37.300341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:25:37.064293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:25:37.412119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:25:37.184949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:25:39.401437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
충전소ID고객번호순번사용여부
충전소ID1.0000.0870.159
고객번호순번0.0871.0000.128
사용여부0.1590.1281.000
2023-12-13T04:25:39.528300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
충전소ID고객번호순번사용여부
충전소ID1.0000.0430.122
고객번호순번0.0431.0000.137
사용여부0.1220.1371.000

Missing values

2023-12-13T04:25:37.550121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:25:37.673318image/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

충전소ID고객번호순번사용여부등록일시변경일시
011861Y2017-11-10 01:43:512023-06-20 12:00:35
111871Y2017-11-10 01:43:512023-06-20 12:00:35
211881Y2017-11-10 01:43:512023-06-20 12:00:35
311901Y2017-11-10 01:43:512023-06-20 12:00:35
411931Y2017-11-10 01:43:512023-06-20 12:00:35
511941Y2017-11-10 01:43:512023-06-20 12:00:35
611951Y2017-11-10 01:43:512023-06-20 12:00:35
711961Y2017-11-10 01:43:512023-06-20 12:00:35
811971Y2017-11-10 01:43:512023-06-20 12:00:35
911981Y2017-11-10 01:43:512023-06-20 12:00:35
충전소ID고객번호순번사용여부등록일시변경일시
602249232Y2023-04-18 01:12:562023-06-20 12:00:33
602349252Y2023-04-18 01:14:142023-06-20 12:00:33
602430472Y2023-04-18 04:23:092023-06-20 12:00:08
602512392Y2023-04-18 04:35:412023-06-20 12:00:07
602624222Y2023-04-26 04:22:142023-06-20 12:00:33
602756142Y2023-05-03 04:22:472023-06-20 12:00:33
602827202Y2023-04-26 03:31:062023-06-20 12:00:33
6029642Y2023-04-26 04:45:592023-06-20 12:00:33
603043002Y2023-05-12 05:37:102023-05-12 05:37:10
603156932Y2023-06-27 10:01:372023-06-27 10:01:37