Overview

Dataset statistics

Number of variables5
Number of observations48
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory44.8 B

Variable types

Numeric2
Categorical2
DateTime1

Dataset

Description서울특별시 광진구 전기차 등록대수 통계 데이터를 제공해드립니다.(2018년도 부터 2021년도 까지 자료입니다.)
Author서울특별시 광진구
URLhttps://www.data.go.kr/data/15098152/fileData.do

Alerts

시도명 has constant value ""Constant
자치구명 has constant value ""Constant
연번 is highly overall correlated with 전기차 등록대수High correlation
전기차 등록대수 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
연월 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:20:26.490689
Analysis finished2023-12-12 05:20:27.238038
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.5
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-12T14:20:27.607467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.35
Q112.75
median24.5
Q336.25
95-th percentile45.65
Maximum48
Range47
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation14
Coefficient of variation (CV)0.57142857
Kurtosis-1.2
Mean24.5
Median Absolute Deviation (MAD)12
Skewness0
Sum1176
Variance196
MonotonicityStrictly increasing
2023-12-12T14:20:27.776804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
1 1
 
2.1%
26 1
 
2.1%
28 1
 
2.1%
29 1
 
2.1%
30 1
 
2.1%
31 1
 
2.1%
32 1
 
2.1%
33 1
 
2.1%
34 1
 
2.1%
35 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
1 1
2.1%
2 1
2.1%
3 1
2.1%
4 1
2.1%
5 1
2.1%
6 1
2.1%
7 1
2.1%
8 1
2.1%
9 1
2.1%
10 1
2.1%
ValueCountFrequency (%)
48 1
2.1%
47 1
2.1%
46 1
2.1%
45 1
2.1%
44 1
2.1%
43 1
2.1%
42 1
2.1%
41 1
2.1%
40 1
2.1%
39 1
2.1%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
서울특별시
48 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시 48
100.0%

Length

2023-12-12T14:20:27.905050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:20:28.012093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 48
100.0%

자치구명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
광진구
48 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광진구 48
100.0%

Length

2023-12-12T14:20:28.151578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:20:28.269880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광진구 48
100.0%

연월
Date

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum2018-01-01 00:00:00
Maximum2021-12-01 00:00:00
2023-12-12T14:20:28.369691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:20:28.516747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

전기차 등록대수
Real number (ℝ)

HIGH CORRELATION 

Distinct46
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean236.04167
Minimum46
Maximum590
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-12T14:20:28.672717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46
5-th percentile66.05
Q1123
median194
Q3301
95-th percentile513.75
Maximum590
Range544
Interquartile range (IQR)178

Descriptive statistics

Standard deviation143.61858
Coefficient of variation (CV)0.60844588
Kurtosis-0.092519478
Mean236.04167
Median Absolute Deviation (MAD)94.5
Skewness0.81809534
Sum11330
Variance20626.296
MonotonicityNot monotonic
2023-12-12T14:20:28.798750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
281 2
 
4.2%
123 2
 
4.2%
48 1
 
2.1%
306 1
 
2.1%
250 1
 
2.1%
259 1
 
2.1%
271 1
 
2.1%
297 1
 
2.1%
298 1
 
2.1%
299 1
 
2.1%
Other values (36) 36
75.0%
ValueCountFrequency (%)
46 1
2.1%
48 1
2.1%
65 1
2.1%
68 1
2.1%
74 1
2.1%
84 1
2.1%
91 1
2.1%
96 1
2.1%
103 1
2.1%
113 1
2.1%
ValueCountFrequency (%)
590 1
2.1%
568 1
2.1%
519 1
2.1%
504 1
2.1%
471 1
2.1%
442 1
2.1%
435 1
2.1%
386 1
2.1%
361 1
2.1%
346 1
2.1%

Interactions

2023-12-12T14:20:26.837929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:20:26.596404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:20:26.940081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:20:26.683774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:20:28.893219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번연월전기차 등록대수
연번1.0001.0000.962
연월1.0001.0001.000
전기차 등록대수0.9621.0001.000
2023-12-12T14:20:28.979700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번전기차 등록대수
연번1.0000.999
전기차 등록대수0.9991.000

Missing values

2023-12-12T14:20:27.068157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:20:27.191253image/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

연번시도명자치구명연월전기차 등록대수
01서울특별시광진구2018-0148
12서울특별시광진구2018-0246
23서울특별시광진구2018-0365
34서울특별시광진구2018-0468
45서울특별시광진구2018-0574
56서울특별시광진구2018-0684
67서울특별시광진구2018-0791
78서울특별시광진구2018-0896
89서울특별시광진구2018-09103
910서울특별시광진구2018-10113
연번시도명자치구명연월전기차 등록대수
3839서울특별시광진구2021-03346
3940서울특별시광진구2021-04361
4041서울특별시광진구2021-05386
4142서울특별시광진구2021-06435
4243서울특별시광진구2021-07442
4344서울특별시광진구2021-08471
4445서울특별시광진구2021-09504
4546서울특별시광진구2021-10519
4647서울특별시광진구2021-11568
4748서울특별시광진구2021-12590