Overview

Dataset statistics

Number of variables3
Number of observations186
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.7 KiB
Average record size in memory25.7 B

Variable types

Categorical1
Numeric1
Text1

Dataset

Description경남도립거창대학의 인사구분코드 공공데이터입니다. 구분종류, 구분코드, 구분명등의 데이터를 포함하고있습니다.
URLhttps://www.data.go.kr/data/15097840/fileData.do

Reproduction

Analysis started2023-12-12 02:33:15.613375
Analysis finished2023-12-12 02:33:16.011671
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분종류
Categorical

Distinct21
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
부서
36 
직급
22 
직책
16 
학위종별
15 
근무구분
11 
Other values (16)
86 

Length

Max length4
Median length2
Mean length2.9462366
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row부서
2nd row직급
3rd row직책
4th row부서
5th row부서

Common Values

ValueCountFrequency (%)
부서 36
19.4%
직급 22
11.8%
직책 16
 
8.6%
학위종별 15
 
8.1%
근무구분 11
 
5.9%
학력구분 8
 
4.3%
역종 8
 
4.3%
군별 8
 
4.3%
가옥종별 7
 
3.8%
전공계열 6
 
3.2%
Other values (11) 49
26.3%

Length

2023-12-12T11:33:16.083126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부서 36
19.4%
직급 22
11.8%
직책 16
 
8.6%
학위종별 15
 
8.1%
근무구분 11
 
5.9%
학력구분 8
 
4.3%
역종 8
 
4.3%
군별 8
 
4.3%
가옥종별 7
 
3.8%
외국어 6
 
3.2%
Other values (11) 49
26.3%

구분코드
Real number (ℝ)

Distinct46
Distinct (%)24.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.553763
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T11:33:16.227874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q314.75
95-th percentile57.5
Maximum99
Range98
Interquartile range (IQR)11.75

Descriptive statistics

Standard deviation18.231835
Coefficient of variation (CV)1.3451492
Kurtosis5.8899442
Mean13.553763
Median Absolute Deviation (MAD)4
Skewness2.3716492
Sum2521
Variance332.3998
MonotonicityNot monotonic
2023-12-12T11:33:16.367015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1 21
 
11.3%
2 18
 
9.7%
3 18
 
9.7%
4 17
 
9.1%
5 14
 
7.5%
6 11
 
5.9%
7 7
 
3.8%
10 6
 
3.2%
12 5
 
2.7%
8 5
 
2.7%
Other values (36) 64
34.4%
ValueCountFrequency (%)
1 21
11.3%
2 18
9.7%
3 18
9.7%
4 17
9.1%
5 14
7.5%
6 11
5.9%
7 7
 
3.8%
8 5
 
2.7%
9 4
 
2.2%
10 6
 
3.2%
ValueCountFrequency (%)
99 1
0.5%
90 2
1.1%
67 1
0.5%
65 1
0.5%
64 1
0.5%
63 1
0.5%
62 1
0.5%
61 1
0.5%
60 1
0.5%
50 2
1.1%

구분명
Text

Distinct174
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T11:33:16.712259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length4.1182796
Min length2

Characters and Unicode

Total characters766
Distinct characters196
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique162 ?
Unique (%)87.1%

Sample

1st row혁신지원사업단
2nd row명예교수
3rd row부서관리자
4th row스마트귀농귀촌학과
5th row교수학습지원센터
ValueCountFrequency (%)
강사 2
 
1.0%
박사 2
 
1.0%
기타 2
 
1.0%
세 2
 
1.0%
학사 2
 
1.0%
석사 2
 
1.0%
공학 2
 
1.0%
이학 2
 
1.0%
전문학사 2
 
1.0%
산중교수 2
 
1.0%
Other values (169) 172
89.6%
2023-12-12T11:33:17.144537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 43
 
5.6%
과 27
 
3.5%
사 27
 
3.5%
교 22
 
2.9%
( 17
 
2.2%
구 17
 
2.2%
수 17
 
2.2%
) 17
 
2.2%
전 16
 
2.1%
자 13
 
1.7%
Other values (186) 550
71.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 710
92.7%
Open Punctuation 17
 
2.2%
Close Punctuation 17
 
2.2%
Space Separator 12
 
1.6%
Decimal Number 5
 
0.7%
Uppercase Letter 4
 
0.5%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 43
 
6.1%
과 27
 
3.8%
사 27
 
3.8%
교 22
 
3.1%
구 17
 
2.4%
수 17
 
2.4%
전 16
 
2.3%
자 13
 
1.8%
정 12
 
1.7%
임 12
 
1.7%
Other values (173) 504
71.0%
Decimal Number
ValueCountFrequency (%)
6 1
20.0%
7 1
20.0%
8 1
20.0%
9 1
20.0%
2 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
25.0%
N 1
25.0%
L 1
25.0%
I 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 710
92.7%
Common 52
 
6.8%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 43
 
6.1%
과 27
 
3.8%
사 27
 
3.8%
교 22
 
3.1%
구 17
 
2.4%
수 17
 
2.4%
전 16
 
2.3%
자 13
 
1.8%
정 12
 
1.7%
임 12
 
1.7%
Other values (173) 504
71.0%
Common
ValueCountFrequency (%)
( 17
32.7%
) 17
32.7%
12
23.1%
6 1
 
1.9%
7 1
 
1.9%
8 1
 
1.9%
9 1
 
1.9%
· 1
 
1.9%
2 1
 
1.9%
Latin
ValueCountFrequency (%)
C 1
25.0%
N 1
25.0%
L 1
25.0%
I 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 710
92.7%
ASCII 55
 
7.2%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 43
 
6.1%
과 27
 
3.8%
사 27
 
3.8%
교 22
 
3.1%
구 17
 
2.4%
수 17
 
2.4%
전 16
 
2.3%
자 13
 
1.8%
정 12
 
1.7%
임 12
 
1.7%
Other values (173) 504
71.0%
ASCII
ValueCountFrequency (%)
( 17
30.9%
) 17
30.9%
12
21.8%
6 1
 
1.8%
7 1
 
1.8%
8 1
 
1.8%
9 1
 
1.8%
C 1
 
1.8%
N 1
 
1.8%
L 1
 
1.8%
Other values (2) 2
 
3.6%
None
ValueCountFrequency (%)
· 1
100.0%

Interactions

2023-12-12T11:33:15.785057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:33:17.229388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분종류구분코드
구분종류1.0000.436
구분코드0.4361.000
2023-12-12T11:33:17.301295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분코드구분종류
구분코드1.0000.243
구분종류0.2431.000

Missing values

2023-12-12T11:33:15.905641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:33:15.983535image/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

구분종류구분코드구분명
0부서46혁신지원사업단
1직급9명예교수
2직책90부서관리자
3부서16스마트귀농귀촌학과
4부서50교수학습지원센터
5부서17스포츠재활운동관리과
6가옥종별1단 독
7가옥종별2연 립
8가옥종별3아파트
9가옥종별4임 대
구분종류구분코드구분명
176직책99해당없음
177직책19산중교수
178직급41대학회계6급
179직급42대학회계7급
180직급43대학회계8급
181직급44대학회계9급
182부서15소방전기학부
183부서90뷰티·보건의료행정과
184직책20팀장
185부서36대학일자리센터