Overview

Dataset statistics

Number of variables4
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory37.5 B

Variable types

Categorical3
Numeric1

Dataset

Description한국중부발전의 연간 신입사원을 채용한 실적 정보 제공채용년도, 분기(상/하반기), 채용대상직군, 채용인원 정보 제공
Author한국중부발전(주)
URLhttps://www.data.go.kr/data/15083197/fileData.do

Reproduction

Analysis started2023-12-12 08:49:18.500568
Analysis finished2023-12-12 08:49:18.983493
Duration0.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년도
Categorical

Distinct5
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size436.0 B
2019
10 
2020
9 
2022
7 
2023
7 
2021
5 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019
2nd row2019
3rd row2019
4th row2019
5th row2019

Common Values

ValueCountFrequency (%)
2019 10
26.3%
2020 9
23.7%
2022 7
18.4%
2023 7
18.4%
2021 5
13.2%

Length

2023-12-12T17:49:19.086658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:49:19.243448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 10
26.3%
2020 9
23.7%
2022 7
18.4%
2023 7
18.4%
2021 5
13.2%

반기
Categorical

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
하반기
21 
상반기
17 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row상반기
2nd row상반기
3rd row상반기
4th row하반기
5th row하반기

Common Values

ValueCountFrequency (%)
하반기 21
55.3%
상반기 17
44.7%

Length

2023-12-12T17:49:19.421675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:49:19.542003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
하반기 21
55.3%
상반기 17
44.7%

종목(직군)
Categorical

Distinct8
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Memory size436.0 B
발전기계
7 
발전전기
7 
발전화학
7 
사무
5 
정보통신
5 
Other values (3)
7 

Length

Max length4
Median length4
Mean length3.4210526
Min length2

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row발전기계
2nd row발전전기
3rd row발전화학
4th row건축
5th row발전기계

Common Values

ValueCountFrequency (%)
발전기계 7
18.4%
발전전기 7
18.4%
발전화학 7
18.4%
사무 5
13.2%
정보통신 5
13.2%
건축 3
7.9%
토목 3
7.9%
산업위생 1
 
2.6%

Length

2023-12-12T17:49:19.666935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:49:19.819593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
발전기계 7
18.4%
발전전기 7
18.4%
발전화학 7
18.4%
사무 5
13.2%
정보통신 5
13.2%
건축 3
7.9%
토목 3
7.9%
산업위생 1
 
2.6%

인원
Real number (ℝ)

Distinct24
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.736842
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T17:49:19.974192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14.25
median15
Q321.75
95-th percentile31.25
Maximum48
Range47
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation11.372523
Coefficient of variation (CV)0.77170692
Kurtosis1.1233424
Mean14.736842
Median Absolute Deviation (MAD)9.5
Skewness1.0285352
Sum560
Variance129.33428
MonotonicityNot monotonic
2023-12-12T17:49:20.114237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
4 6
15.8%
5 3
 
7.9%
16 2
 
5.3%
8 2
 
5.3%
2 2
 
5.3%
15 2
 
5.3%
19 2
 
5.3%
22 2
 
5.3%
11 2
 
5.3%
18 1
 
2.6%
Other values (14) 14
36.8%
ValueCountFrequency (%)
1 1
 
2.6%
2 2
 
5.3%
3 1
 
2.6%
4 6
15.8%
5 3
7.9%
7 1
 
2.6%
8 2
 
5.3%
11 2
 
5.3%
15 2
 
5.3%
16 2
 
5.3%
ValueCountFrequency (%)
48 1
2.6%
44 1
2.6%
29 1
2.6%
28 1
2.6%
27 1
2.6%
25 1
2.6%
24 1
2.6%
23 1
2.6%
22 2
5.3%
21 1
2.6%

Interactions

2023-12-12T17:49:18.692312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:49:20.232703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년도반기종목(직군)인원
년도1.0000.3660.0000.332
반기0.3661.0000.0000.334
종목(직군)0.0000.0001.0000.449
인원0.3320.3340.4491.000
2023-12-12T17:49:20.588137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종목(직군)년도반기
종목(직군)1.0000.0000.000
년도0.0001.0000.425
반기0.0000.4251.000
2023-12-12T17:49:20.667917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인원년도반기종목(직군)
인원1.0000.2020.3260.245
년도0.2021.0000.4250.000
반기0.3260.4251.0000.000
종목(직군)0.2450.0000.0001.000

Missing values

2023-12-12T17:49:18.817809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:49:18.933787image/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

년도반기종목(직군)인원
02019상반기발전기계24
12019상반기발전전기22
22019상반기발전화학8
32019하반기건축2
42019하반기발전기계44
52019하반기발전전기48
62019하반기발전화학15
72019하반기사무21
82019하반기정보통신4
92019하반기토목1
년도반기종목(직군)인원
282022상반기건축7
292022하반기발전기계22
302022하반기발전전기20
312023하반기사무11
322023하반기정보통신4
332023하반기발전기계29
342023하반기발전전기28
352023하반기발전화학23
362023하반기건축4
372023하반기토목4