Overview

Dataset statistics

Number of variables4
Number of observations182
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.0 KiB
Average record size in memory33.7 B

Variable types

Numeric1
Categorical3

Dataset

Description한전KDN에서 보유하고 있는 정보통신 공사용 고소작업차 현황 정보를 제공합니다. 장비명, 모델명, 도입년월에 대한 데이터를 제공합니다.
Author한전KDN(주)
URLhttps://www.data.go.kr/data/15024916/fileData.do

Alerts

장비명 has constant value ""Constant
순번 is highly overall correlated with 도입년월High correlation
모델명 is highly overall correlated with 도입년월High correlation
도입년월 is highly overall correlated with 순번 and 1 other fieldsHigh correlation
모델명 is highly imbalanced (57.4%)Imbalance
순번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 14:59:55.710064
Analysis finished2024-03-14 14:59:56.606579
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct182
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.5
Minimum1
Maximum182
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-03-14T23:59:56.734778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.05
Q146.25
median91.5
Q3136.75
95-th percentile172.95
Maximum182
Range181
Interquartile range (IQR)90.5

Descriptive statistics

Standard deviation52.683014
Coefficient of variation (CV)0.57577065
Kurtosis-1.2
Mean91.5
Median Absolute Deviation (MAD)45.5
Skewness0
Sum16653
Variance2775.5
MonotonicityStrictly increasing
2024-03-14T23:59:56.986156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
116 1
 
0.5%
118 1
 
0.5%
119 1
 
0.5%
120 1
 
0.5%
121 1
 
0.5%
122 1
 
0.5%
123 1
 
0.5%
124 1
 
0.5%
125 1
 
0.5%
Other values (172) 172
94.5%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
182 1
0.5%
181 1
0.5%
180 1
0.5%
179 1
0.5%
178 1
0.5%
177 1
0.5%
176 1
0.5%
175 1
0.5%
174 1
0.5%
173 1
0.5%

장비명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
특수차(고소작업차)
182 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row특수차(고소작업차)
2nd row특수차(고소작업차)
3rd row특수차(고소작업차)
4th row특수차(고소작업차)
5th row특수차(고소작업차)

Common Values

ValueCountFrequency (%)
특수차(고소작업차) 182
100.0%

Length

2024-03-14T23:59:57.266771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:59:57.488912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
특수차(고소작업차 182
100.0%

모델명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1.2톤
151 
1톤
21 
2.5톤
 
8
3.5톤
 
2

Length

Max length4
Median length4
Mean length3.7692308
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1.2톤 151
83.0%
1톤 21
 
11.5%
2.5톤 8
 
4.4%
3.5톤 2
 
1.1%

Length

2024-03-14T23:59:57.693101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:59:58.052554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.2톤 151
83.0%
1톤 21
 
11.5%
2.5톤 8
 
4.4%
3.5톤 2
 
1.1%

도입년월
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2017-12-12
35 
2023-12-22
32 
2016-09-23
26 
2018-12-26
25 
2020-08-19
22 
Other values (7)
42 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row2011-12-26
2nd row2011-12-26
3rd row2011-12-26
4th row2011-12-26
5th row2012-09-13

Common Values

ValueCountFrequency (%)
2017-12-12 35
19.2%
2023-12-22 32
17.6%
2016-09-23 26
14.3%
2018-12-26 25
13.7%
2020-08-19 22
12.1%
2015-09-23 13
 
7.1%
2019-11-12 13
 
7.1%
2019-12-24 6
 
3.3%
2011-12-26 4
 
2.2%
2017-12-18 3
 
1.6%
Other values (2) 3
 
1.6%

Length

2024-03-14T23:59:58.424234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2017-12-12 35
19.2%
2023-12-22 32
17.6%
2016-09-23 26
14.3%
2018-12-26 25
13.7%
2020-08-19 22
12.1%
2015-09-23 13
 
7.1%
2019-11-12 13
 
7.1%
2019-12-24 6
 
3.3%
2011-12-26 4
 
2.2%
2017-12-18 3
 
1.6%
Other values (2) 3
 
1.6%

Interactions

2024-03-14T23:59:55.851712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T23:59:58.659606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번모델명도입년월
순번1.0000.6920.930
모델명0.6921.0000.926
도입년월0.9300.9261.000
2024-03-14T23:59:58.898353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도입년월모델명
도입년월1.0000.652
모델명0.6521.000
2024-03-14T23:59:59.128630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번모델명도입년월
순번1.0000.4850.744
모델명0.4851.0000.652
도입년월0.7440.6521.000

Missing values

2024-03-14T23:59:56.401366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T23:59:56.547099image/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

순번장비명모델명도입년월
01특수차(고소작업차)1.2톤2011-12-26
12특수차(고소작업차)1.2톤2011-12-26
23특수차(고소작업차)1.2톤2011-12-26
34특수차(고소작업차)1.2톤2011-12-26
45특수차(고소작업차)1.2톤2012-09-13
56특수차(고소작업차)1.2톤2012-09-13
67특수차(고소작업차)1.2톤2015-09-23
78특수차(고소작업차)1.2톤2015-09-23
89특수차(고소작업차)1.2톤2015-09-23
910특수차(고소작업차)1.2톤2015-09-23
순번장비명모델명도입년월
172173특수차(고소작업차)1.2톤2023-12-22
173174특수차(고소작업차)1.2톤2023-12-22
174175특수차(고소작업차)1.2톤2023-12-22
175176특수차(고소작업차)1.2톤2023-12-22
176177특수차(고소작업차)1.2톤2023-12-22
177178특수차(고소작업차)1.2톤2023-12-22
178179특수차(고소작업차)1.2톤2023-12-22
179180특수차(고소작업차)1.2톤2023-12-22
180181특수차(고소작업차)3.5톤2023-12-22
181182특수차(고소작업차)3.5톤2023-12-22