Overview

Dataset statistics

Number of variables4
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 KiB
Average record size in memory38.9 B

Variable types

Categorical3
Numeric1

Dataset

Description한국전기안전공사에서 연도별(2020년~2022년) 일반용안전진단을 실시한 결과(적합, 부적합)를 안전등급 코드별(A~D) 건수를 제공하는 데이터입니다.
URLhttps://www.data.go.kr/data/15118888/fileData.do

Reproduction

Analysis started2023-12-12 15:27:59.117657
Analysis finished2023-12-12 15:27:59.641180
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Categorical

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
2021
10 
2022
10 
2020
7 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2020
5th row2020

Common Values

ValueCountFrequency (%)
2021 10
37.0%
2022 10
37.0%
2020 7
25.9%

Length

2023-12-13T00:27:59.708870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:27:59.826375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 10
37.0%
2022 10
37.0%
2020 7
25.9%

점검결과
Categorical

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size348.0 B
적합
14 
부적합
13 

Length

Max length3
Median length2
Mean length2.4814815
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row적합
2nd row적합
3rd row적합
4th row적합
5th row부적합

Common Values

ValueCountFrequency (%)
적합 14
51.9%
부적합 13
48.1%

Length

2023-12-13T00:27:59.966388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:28:00.079785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 14
51.9%
부적합 13
48.1%

안전등급 코드
Categorical

Distinct5
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Memory size348.0 B
B
6 
C
6 
D
6 
A
5 
E
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA
2nd rowB
3rd rowC
4th rowD
5th rowB

Common Values

ValueCountFrequency (%)
B 6
22.2%
C 6
22.2%
D 6
22.2%
A 5
18.5%
E 4
14.8%

Length

2023-12-13T00:28:00.189271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:28:00.301395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
b 6
22.2%
c 6
22.2%
d 6
22.2%
a 5
18.5%
e 4
14.8%

건수
Real number (ℝ)

Distinct24
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1068.7407
Minimum1
Maximum12208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-13T00:28:00.451248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15.5
median38
Q3594
95-th percentile5416.4
Maximum12208
Range12207
Interquartile range (IQR)588.5

Descriptive statistics

Standard deviation2639.8385
Coefficient of variation (CV)2.4700457
Kurtosis12.661719
Mean1068.7407
Median Absolute Deviation (MAD)37
Skewness3.419972
Sum28856
Variance6968747.4
MonotonicityNot monotonic
2023-12-13T00:28:00.596445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 3
 
11.1%
3 2
 
7.4%
38 1
 
3.7%
539 1
 
3.7%
1665 1
 
3.7%
11 1
 
3.7%
103 1
 
3.7%
28 1
 
3.7%
29 1
 
3.7%
1586 1
 
3.7%
Other values (14) 14
51.9%
ValueCountFrequency (%)
1 3
11.1%
2 1
 
3.7%
3 2
7.4%
4 1
 
3.7%
7 1
 
3.7%
10 1
 
3.7%
11 1
 
3.7%
18 1
 
3.7%
28 1
 
3.7%
29 1
 
3.7%
ValueCountFrequency (%)
12208 1
3.7%
5603 1
3.7%
4981 1
3.7%
1665 1
3.7%
1586 1
3.7%
817 1
3.7%
649 1
3.7%
539 1
3.7%
283 1
3.7%
133 1
3.7%

Interactions

2023-12-13T00:27:59.310722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:28:00.696313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도점검결과안전등급 코드건수
연도1.0000.0000.0000.132
점검결과0.0001.0000.0000.119
안전등급 코드0.0000.0001.0000.000
건수0.1320.1190.0001.000
2023-12-13T00:28:00.815400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
안전등급 코드점검결과연도
안전등급 코드1.0000.0000.000
점검결과0.0001.0000.000
연도0.0000.0001.000
2023-12-13T00:28:00.915478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건수연도점검결과안전등급 코드
건수1.0000.1020.0360.000
연도0.1021.0000.0000.000
점검결과0.0360.0001.0000.000
안전등급 코드0.0000.0000.0001.000

Missing values

2023-12-13T00:27:59.469461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:27:59.595840image/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

연도점검결과안전등급 코드건수
02020적합A38
12020적합B133
22020적합C18
32020적합D2
42020부적합B7
52020부적합C1
62020부적합D4
72021적합A817
82021적합B4981
92021적합C64
연도점검결과안전등급 코드건수
172022적합A5603
182022적합B12208
192022적합C283
202022적합D1586
212022적합E29
222022부적합A28
232022부적합B103
242022부적합C1
252022부적합D11
262022부적합E1665