Overview

Dataset statistics

Number of variables6
Number of observations539
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.4 KiB
Average record size in memory50.2 B

Variable types

Numeric1
Categorical5

Dataset

Description한전KPS의 본사 및 사업소의 차량 보유 현황에 관한 데이터입니다. (차종, 타입, 대수, 사용목적 등의 내용을 포함)
Author한전케이피에스주식회사
URLhttps://www.data.go.kr/data/15117078/fileData.do

Alerts

대수 has constant value ""Constant
사용목적 has constant value ""Constant
타입 is highly overall correlated with 차종1 and 1 other fieldsHigh correlation
차종1 is highly overall correlated with 차종2 and 1 other fieldsHigh correlation
차종2 is highly overall correlated with 차종1 and 1 other fieldsHigh correlation
순번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 20:05:42.048471
Analysis finished2024-03-14 20:05:43.343869
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct539
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean270
Minimum1
Maximum539
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-03-15T05:05:43.752162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile27.9
Q1135.5
median270
Q3404.5
95-th percentile512.1
Maximum539
Range538
Interquartile range (IQR)269

Descriptive statistics

Standard deviation155.74017
Coefficient of variation (CV)0.57681544
Kurtosis-1.2
Mean270
Median Absolute Deviation (MAD)135
Skewness0
Sum145530
Variance24255
MonotonicityStrictly increasing
2024-03-15T05:05:44.244881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
356 1
 
0.2%
370 1
 
0.2%
369 1
 
0.2%
368 1
 
0.2%
367 1
 
0.2%
366 1
 
0.2%
365 1
 
0.2%
364 1
 
0.2%
363 1
 
0.2%
Other values (529) 529
98.1%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
539 1
0.2%
538 1
0.2%
537 1
0.2%
536 1
0.2%
535 1
0.2%
534 1
0.2%
533 1
0.2%
532 1
0.2%
531 1
0.2%
530 1
0.2%

차종1
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
소형트럭
168 
찌프하이브리드
161 
중형승용
43 
트레일러
43 
중형트럭
42 
Other values (8)
82 

Length

Max length7
Median length4
Mean length4.9294991
Min length3

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
소형트럭 168
31.2%
찌프하이브리드 161
29.9%
중형승용 43
 
8.0%
트레일러 43
 
8.0%
중형트럭 42
 
7.8%
소형승합 29
 
5.4%
소형승용 29
 
5.4%
승용하이브리드 9
 
1.7%
찌프형 7
 
1.3%
대형트럭 3
 
0.6%
Other values (3) 5
 
0.9%

Length

2024-03-15T05:05:44.747509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
소형트럭 168
31.2%
찌프하이브리드 161
29.9%
중형승용 43
 
8.0%
트레일러 43
 
8.0%
중형트럭 42
 
7.8%
소형승합 29
 
5.4%
소형승용 29
 
5.4%
승용하이브리드 9
 
1.7%
찌프형 7
 
1.3%
대형트럭 3
 
0.6%
Other values (3) 5
 
0.9%

차종2
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
봉고III
161 
쏘렌토
145 
트레일러
43 
마이티
42 
아이오닉6
25 
Other values (22)
123 

Length

Max length8
Median length5
Mean length4.1335807
Min length2

Unique

Unique7 ?
Unique (%)1.3%

Sample

1st rowSM3
2nd row아이오닉
3rd row아이오닉
4th row아이오닉
5th row아이오닉

Common Values

ValueCountFrequency (%)
봉고III 161
29.9%
쏘렌토 145
26.9%
트레일러 43
 
8.0%
마이티 42
 
7.8%
아이오닉6 25
 
4.6%
아이오닉 20
 
3.7%
쏘렌토 18
 
3.3%
스타렉스 16
 
3.0%
제네시스 14
 
2.6%
카니발 13
 
2.4%
Other values (17) 42
 
7.8%

Length

2024-03-15T05:05:45.161290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
쏘렌토 163
30.2%
봉고iii 161
29.9%
트레일러 43
 
8.0%
마이티 42
 
7.8%
아이오닉6 25
 
4.6%
아이오닉 20
 
3.7%
스타렉스 16
 
3.0%
제네시스 14
 
2.6%
카니발 13
 
2.4%
코나 8
 
1.5%
Other values (16) 34
 
6.3%

타입
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
내연기관
291 
친환경차
248 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
내연기관 291
54.0%
친환경차 248
46.0%

Length

2024-03-15T05:05:45.577259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:05:45.761641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
내연기관 291
54.0%
친환경차 248
46.0%

대수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
1
539 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 539
100.0%

Length

2024-03-15T05:05:45.944372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:05:46.267496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 539
100.0%

사용목적
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
업무용
539 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
업무용 539
100.0%

Length

2024-03-15T05:05:46.431432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:05:46.593000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
업무용 539
100.0%

Interactions

2024-03-15T05:05:42.346306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T05:05:46.693230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번차종1차종2타입
순번1.0000.6450.7720.527
차종10.6451.0000.9940.940
차종20.7720.9941.0000.976
타입0.5270.9400.9761.000
2024-03-15T05:05:46.855775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
타입차종1차종2
타입1.0000.9390.934
차종10.9391.0000.931
차종20.9340.9311.000
2024-03-15T05:05:47.006390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번차종1차종2타입
순번1.0000.3320.4020.403
차종10.3321.0000.9310.939
차종20.4020.9311.0000.934
타입0.4030.9390.9341.000

Missing values

2024-03-15T05:05:42.784460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T05:05:43.207351image/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

순번차종1차종2타입대수사용목적
01중형승용SM3친환경차1업무용
12중형승용아이오닉친환경차1업무용
23중형승용아이오닉친환경차1업무용
34중형승용아이오닉친환경차1업무용
45중형승용아이오닉친환경차1업무용
56중형승용아이오닉친환경차1업무용
67중형승용코나친환경차1업무용
78소형승합카니발내연기관1업무용
89승용하이브리드쏘나타친환경차1업무용
910승용하이브리드쏘나타친환경차1업무용
순번차종1차종2타입대수사용목적
529530찌프하이브리드쏘렌토친환경차1업무용
530531찌프하이브리드쏘렌토친환경차1업무용
531532찌프하이브리드쏘렌토친환경차1업무용
532533찌프하이브리드쏘렌토친환경차1업무용
533534찌프하이브리드쏘렌토친환경차1업무용
534535찌프하이브리드쏘렌토친환경차1업무용
535536찌프하이브리드쏘렌토친환경차1업무용
536537찌프하이브리드쏘렌토친환경차1업무용
537538찌프하이브리드쏘렌토친환경차1업무용
538539찌프하이브리드쏘렌토친환경차1업무용