Overview

Dataset statistics

Number of variables7
Number of observations119
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.7 KiB
Average record size in memory58.1 B

Variable types

Numeric1
Text2
Categorical4

Dataset

Description매년 공표되는 일자리창출 유공자 포상 현황- 2023-09-04 현황- 연번, 성명, 소속, 직급, 훈격, 포상구분, 유공부문
Author고용노동부
URLhttps://www.data.go.kr/data/15068745/fileData.do

Alerts

포상구분 has constant value ""Constant
유공부문 has constant value ""Constant
연번 is highly overall correlated with 훈 격High correlation
훈 격 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
성명 has unique valuesUnique
소 속 has unique valuesUnique

Reproduction

Analysis started2024-03-14 12:56:08.249432
Analysis finished2024-03-14 12:56:09.573366
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct119
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60
Minimum1
Maximum119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-14T21:56:09.782596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.9
Q130.5
median60
Q389.5
95-th percentile113.1
Maximum119
Range118
Interquartile range (IQR)59

Descriptive statistics

Standard deviation34.496377
Coefficient of variation (CV)0.57493961
Kurtosis-1.2
Mean60
Median Absolute Deviation (MAD)30
Skewness0
Sum7140
Variance1190
MonotonicityStrictly increasing
2024-03-14T21:56:10.237625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
2 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
85 1
 
0.8%
84 1
 
0.8%
83 1
 
0.8%
82 1
 
0.8%
Other values (109) 109
91.6%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
119 1
0.8%
118 1
0.8%
117 1
0.8%
116 1
0.8%
115 1
0.8%
114 1
0.8%
113 1
0.8%
112 1
0.8%
111 1
0.8%
110 1
0.8%

성명
Text

UNIQUE 

Distinct119
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-14T21:56:11.650012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9831933
Min length2

Characters and Unicode

Total characters355
Distinct characters103
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique119 ?
Unique (%)100.0%

Sample

1st row구재성
2nd row최수안
3rd row이규용
4th row신동수
5th row정갑용
ValueCountFrequency (%)
구재성 1
 
0.8%
신봉석 1
 
0.8%
송상호 1
 
0.8%
김선우 1
 
0.8%
박해옥 1
 
0.8%
손승우 1
 
0.8%
최종환 1
 
0.8%
심종욱 1
 
0.8%
유정석 1
 
0.8%
김성숙 1
 
0.8%
Other values (109) 109
91.6%
2024-03-14T21:56:13.449147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 25
 
7.0%
정 20
 
5.6%
이 14
 
3.9%
박 11
 
3.1%
최 11
 
3.1%
윤 10
 
2.8%
성 9
 
2.5%
민 8
 
2.3%
현 8
 
2.3%
미 7
 
2.0%
Other values (93) 232
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 355
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 25
 
7.0%
정 20
 
5.6%
이 14
 
3.9%
박 11
 
3.1%
최 11
 
3.1%
윤 10
 
2.8%
성 9
 
2.5%
민 8
 
2.3%
현 8
 
2.3%
미 7
 
2.0%
Other values (93) 232
65.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 355
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 25
 
7.0%
정 20
 
5.6%
이 14
 
3.9%
박 11
 
3.1%
최 11
 
3.1%
윤 10
 
2.8%
성 9
 
2.5%
민 8
 
2.3%
현 8
 
2.3%
미 7
 
2.0%
Other values (93) 232
65.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 355
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 25
 
7.0%
정 20
 
5.6%
이 14
 
3.9%
박 11
 
3.1%
최 11
 
3.1%
윤 10
 
2.8%
성 9
 
2.5%
민 8
 
2.3%
현 8
 
2.3%
미 7
 
2.0%
Other values (93) 232
65.4%

소 속
Text

UNIQUE 

Distinct119
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-14T21:56:14.386040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length8.789916
Min length3

Characters and Unicode

Total characters1046
Distinct characters247
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique119 ?
Unique (%)100.0%

Sample

1st row동국제약 주식회사
2nd row(주)엘앤에프
3rd row한국노동연구원
4th row주식회사 코아시아세미코리아
5th row㈜코윈테크
ValueCountFrequency (%)
주식회사 21
 
12.6%
경기도 4
 
2.4%
사단법인 3
 
1.8%
재단법인 3
 
1.8%
중부지방고용노동청 2
 
1.2%
주)잡모아 2
 
1.2%
미래테크 1
 
0.6%
주)파라다이스호텔부산 1
 
0.6%
㈜메타크래프트 1
 
0.6%
군산노인종합복지관 1
 
0.6%
Other values (128) 128
76.6%
2024-03-14T21:56:15.754369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48
 
4.6%
주 47
 
4.5%
사 31
 
3.0%
회 30
 
2.9%
( 25
 
2.4%
) 25
 
2.4%
인 22
 
2.1%
㈜ 22
 
2.1%
식 21
 
2.0%
스 20
 
1.9%
Other values (237) 755
72.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 918
87.8%
Space Separator 48
 
4.6%
Open Punctuation 25
 
2.4%
Close Punctuation 25
 
2.4%
Other Symbol 22
 
2.1%
Uppercase Letter 5
 
0.5%
Other Punctuation 2
 
0.2%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 47
 
5.1%
사 31
 
3.4%
회 30
 
3.3%
인 22
 
2.4%
식 21
 
2.3%
스 20
 
2.2%
대 17
 
1.9%
이 16
 
1.7%
리 16
 
1.7%
공 15
 
1.6%
Other values (227) 683
74.4%
Uppercase Letter
ValueCountFrequency (%)
S 2
40.0%
A 1
20.0%
M 1
20.0%
W 1
20.0%
Space Separator
ValueCountFrequency (%)
48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 22
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 940
89.9%
Common 100
 
9.6%
Latin 6
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 47
 
5.0%
사 31
 
3.3%
회 30
 
3.2%
인 22
 
2.3%
㈜ 22
 
2.3%
식 21
 
2.2%
스 20
 
2.1%
대 17
 
1.8%
이 16
 
1.7%
리 16
 
1.7%
Other values (228) 698
74.3%
Latin
ValueCountFrequency (%)
S 2
33.3%
A 1
16.7%
M 1
16.7%
e 1
16.7%
W 1
16.7%
Common
ValueCountFrequency (%)
48
48.0%
( 25
25.0%
) 25
25.0%
. 2
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 918
87.8%
ASCII 106
 
10.1%
None 22
 
2.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
48
45.3%
( 25
23.6%
) 25
23.6%
S 2
 
1.9%
. 2
 
1.9%
A 1
 
0.9%
M 1
 
0.9%
e 1
 
0.9%
W 1
 
0.9%
Hangul
ValueCountFrequency (%)
주 47
 
5.1%
사 31
 
3.4%
회 30
 
3.3%
인 22
 
2.4%
식 21
 
2.3%
스 20
 
2.2%
대 17
 
1.9%
이 16
 
1.7%
리 16
 
1.7%
공 15
 
1.6%
Other values (227) 683
74.4%
None
ValueCountFrequency (%)
㈜ 22
100.0%

직급직위
Categorical

Distinct47
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
대표이사
31 
팀장
14 
부장
6 
상무이사
 
5
과장
 
4
Other values (42)
59 

Length

Max length8
Median length7
Mean length3.6218487
Min length2

Unique

Unique32 ?
Unique (%)26.9%

Sample

1st row상무이사
2nd row대표이사
3rd row선임연구위원
4th row대표이사
5th row대표이사

Common Values

ValueCountFrequency (%)
대표이사 31
26.1%
팀장 14
 
11.8%
부장 6
 
5.0%
상무이사 5
 
4.2%
과장 4
 
3.4%
지방행정주사보 4
 
3.4%
차장 4
 
3.4%
이사 3
 
2.5%
본부장 3
 
2.5%
부사장 3
 
2.5%
Other values (37) 42
35.3%

Length

2024-03-14T21:56:16.183241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대표이사 31
26.1%
팀장 14
 
11.8%
부장 6
 
5.0%
상무이사 5
 
4.2%
과장 4
 
3.4%
지방행정주사보 4
 
3.4%
차장 4
 
3.4%
이사 3
 
2.5%
본부장 3
 
2.5%
부사장 3
 
2.5%
Other values (37) 42
35.3%

훈 격
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
장관표창
38 
국무총리표창
35 
대통령표창
34 
산업포장
6 
은탑산업훈장
 
3
Other values (3)
 
3

Length

Max length6
Median length5
Mean length4.9579832
Min length4

Unique

Unique3 ?
Unique (%)2.5%

Sample

1st row은탑산업훈장
2nd row은탑산업훈장
3rd row석탑산업훈장
4th row은탑산업훈장
5th row철탑산업훈장

Common Values

ValueCountFrequency (%)
장관표창 38
31.9%
국무총리표창 35
29.4%
대통령표창 34
28.6%
산업포장 6
 
5.0%
은탑산업훈장 3
 
2.5%
석탑산업훈장 1
 
0.8%
철탑산업훈장 1
 
0.8%
근정포장 1
 
0.8%

Length

2024-03-14T21:56:16.598058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:56:16.959502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장관표창 38
31.9%
국무총리표창 35
29.4%
대통령표창 34
28.6%
산업포장 6
 
5.0%
은탑산업훈장 3
 
2.5%
석탑산업훈장 1
 
0.8%
철탑산업훈장 1
 
0.8%
근정포장 1
 
0.8%

포상구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
개인
119 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 119
100.0%

Length

2024-03-14T21:56:17.366567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:56:17.660337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 119
100.0%

유공부문
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
일자리창출 지원 유공
119 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일자리창출 지원 유공
2nd row일자리창출 지원 유공
3rd row일자리창출 지원 유공
4th row일자리창출 지원 유공
5th row일자리창출 지원 유공

Common Values

ValueCountFrequency (%)
일자리창출 지원 유공 119
100.0%

Length

2024-03-14T21:56:17.982148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:56:18.281662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일자리창출 119
33.3%
지원 119
33.3%
유공 119
33.3%

Interactions

2024-03-14T21:56:08.691288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T21:56:18.461029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번직급직위훈 격
연번1.0000.5730.829
직급직위0.5731.0000.692
훈 격0.8290.6921.000
2024-03-14T21:56:18.695900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
훈 격직급직위
훈 격1.0000.270
직급직위0.2701.000
2024-03-14T21:56:18.930343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번직급직위훈 격
연번1.0000.1860.588
직급직위0.1861.0000.270
훈 격0.5880.2701.000

Missing values

2024-03-14T21:56:09.038945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T21:56:09.427293image/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

연번성명소 속직급직위훈 격포상구분유공부문
01구재성동국제약 주식회사상무이사은탑산업훈장개인일자리창출 지원 유공
12최수안(주)엘앤에프대표이사은탑산업훈장개인일자리창출 지원 유공
23이규용한국노동연구원선임연구위원석탑산업훈장개인일자리창출 지원 유공
34신동수주식회사 코아시아세미코리아대표이사은탑산업훈장개인일자리창출 지원 유공
45정갑용㈜코윈테크대표이사철탑산업훈장개인일자리창출 지원 유공
56최홍훈(주)호텔롯데롯데월드대표이사산업포장개인일자리창출 지원 유공
67박건신성신공업(주)대표이사산업포장개인일자리창출 지원 유공
78장수아주식회사 에스씨케이컴퍼니상무이사산업포장개인일자리창출 지원 유공
89권봉진주식회사 원익큐엔씨전무산업포장개인일자리창출 지원 유공
910임지은씨에스쉐어링㈜대표이사산업포장개인일자리창출 지원 유공
연번성명소 속직급직위훈 격포상구분유공부문
109110정한성강원대학교행정주사보장관표창개인일자리창출 지원 유공
110111김영태싸토리우스코리아바이오텍(유)부장장관표창개인일자리창출 지원 유공
111112원용기㈜비즈엔몰드대표이사장관표창개인일자리창출 지원 유공
112113김대희㈜바오밥목공전문학원대표이사장관표창개인일자리창출 지원 유공
113114김재순농촌진흥청농업연구사장관표창개인일자리창출 지원 유공
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