Overview

Dataset statistics

Number of variables4
Number of observations81
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory34.6 B

Variable types

Numeric1
DateTime1
Text2

Dataset

Description2020년 1월 1일부터 2022년 12월 31일 까지의 공무원연금공단의 업무협약 MOU 체결현황과 관련한 데이터입니다.
URLhttps://www.data.go.kr/data/15073845/fileData.do

Alerts

구분 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:33:49.351113
Analysis finished2023-12-12 13:33:50.610553
Duration1.26 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

UNIQUE 

Distinct81
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41
Minimum1
Maximum81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2023-12-12T22:33:50.708791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q121
median41
Q361
95-th percentile77
Maximum81
Range80
Interquartile range (IQR)40

Descriptive statistics

Standard deviation23.526581
Coefficient of variation (CV)0.57381904
Kurtosis-1.2
Mean41
Median Absolute Deviation (MAD)20
Skewness0
Sum3321
Variance553.5
MonotonicityStrictly increasing
2023-12-12T22:33:50.895706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
62 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
55 1
 
1.2%
54 1
 
1.2%
53 1
 
1.2%
Other values (71) 71
87.7%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%
75 1
1.2%
74 1
1.2%
73 1
1.2%
72 1
1.2%

일자
Date

Distinct77
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size780.0 B
Minimum2020-02-12 00:00:00
Maximum2022-12-02 00:00:00
2023-12-12T22:33:51.054427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:33:51.226408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

협약기관
Text

Distinct80
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size780.0 B
2023-12-12T22:33:51.515485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length28
Mean length12.259259
Min length4

Characters and Unicode

Total characters993
Distinct characters235
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)97.5%

Sample

1st row전북경로당광역지원센터
2nd row제주대학교 제주지역경제교육센터
3rd row국민연금공단 등 4개 기관
4th row강원도경로당광역지원센터, 강원시청자미디어센터
5th row제주아동복지협회
ValueCountFrequency (%)
서귀포시 4
 
2.9%
세종특별자치시 3
 
2.2%
등 3
 
2.2%
기관 3
 
2.2%
시니어클럽 2
 
1.5%
어촌계 2
 
1.5%
제주지사 2
 
1.5%
경희의료원 2
 
1.5%
서귀포 2
 
1.5%
중앙도서관 1
 
0.7%
Other values (112) 112
82.4%
2023-12-12T22:33:51.956170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
55
 
5.5%
시 32
 
3.2%
원 31
 
3.1%
지 27
 
2.7%
센 22
 
2.2%
터 22
 
2.2%
사 21
 
2.1%
주 20
 
2.0%
국 19
 
1.9%
, 18
 
1.8%
Other values (225) 726
73.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 865
87.1%
Space Separator 55
 
5.5%
Uppercase Letter 33
 
3.3%
Other Punctuation 20
 
2.0%
Decimal Number 11
 
1.1%
Close Punctuation 3
 
0.3%
Open Punctuation 3
 
0.3%
Other Symbol 2
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 32
 
3.7%
원 31
 
3.6%
지 27
 
3.1%
센 22
 
2.5%
터 22
 
2.5%
사 21
 
2.4%
주 20
 
2.3%
국 19
 
2.2%
인 17
 
2.0%
자 17
 
2.0%
Other values (196) 637
73.6%
Uppercase Letter
ValueCountFrequency (%)
S 6
18.2%
P 4
12.1%
N 4
12.1%
G 3
9.1%
E 3
9.1%
T 2
 
6.1%
A 2
 
6.1%
F 2
 
6.1%
H 1
 
3.0%
K 1
 
3.0%
Other values (5) 5
15.2%
Decimal Number
ValueCountFrequency (%)
0 3
27.3%
3 3
27.3%
4 2
18.2%
2 1
 
9.1%
8 1
 
9.1%
5 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 18
90.0%
· 1
 
5.0%
: 1
 
5.0%
Space Separator
ValueCountFrequency (%)
55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 867
87.3%
Common 93
 
9.4%
Latin 33
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 32
 
3.7%
원 31
 
3.6%
지 27
 
3.1%
센 22
 
2.5%
터 22
 
2.5%
사 21
 
2.4%
주 20
 
2.3%
국 19
 
2.2%
인 17
 
2.0%
자 17
 
2.0%
Other values (197) 639
73.7%
Latin
ValueCountFrequency (%)
S 6
18.2%
P 4
12.1%
N 4
12.1%
G 3
9.1%
E 3
9.1%
T 2
 
6.1%
A 2
 
6.1%
F 2
 
6.1%
H 1
 
3.0%
K 1
 
3.0%
Other values (5) 5
15.2%
Common
ValueCountFrequency (%)
55
59.1%
, 18
 
19.4%
) 3
 
3.2%
( 3
 
3.2%
0 3
 
3.2%
3 3
 
3.2%
4 2
 
2.2%
2 1
 
1.1%
8 1
 
1.1%
5 1
 
1.1%
Other values (3) 3
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 865
87.1%
ASCII 125
 
12.6%
None 3
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
55
44.0%
, 18
 
14.4%
S 6
 
4.8%
P 4
 
3.2%
N 4
 
3.2%
G 3
 
2.4%
E 3
 
2.4%
) 3
 
2.4%
( 3
 
2.4%
0 3
 
2.4%
Other values (17) 23
18.4%
Hangul
ValueCountFrequency (%)
시 32
 
3.7%
원 31
 
3.6%
지 27
 
3.1%
센 22
 
2.5%
터 22
 
2.5%
사 21
 
2.4%
주 20
 
2.3%
국 19
 
2.2%
인 17
 
2.0%
자 17
 
2.0%
Other values (196) 637
73.6%
None
ValueCountFrequency (%)
㈜ 2
66.7%
· 1
33.3%

주요내용
Text

Distinct68
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size780.0 B
2023-12-12T22:33:52.276896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length33
Mean length19.135802
Min length8

Characters and Unicode

Total characters1550
Distinct characters233
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)74.1%

Sample

1st row은퇴공무원 사회참여활동 활성화
2nd row은퇴공무원 경제교육 및 전문봉사인력 양성
3rd row7대 사회보험 연구 협의체 구성
4th row연금생활자 미디어 전문인력 양성
5th row아동복지시설 보호종료 청소년자립 지원
ValueCountFrequency (%)
활성화 25
 
6.8%
및 23
 
6.3%
은퇴공무원 12
 
3.3%
지역사회 8
 
2.2%
제공 8
 
2.2%
지원 8
 
2.2%
등 7
 
1.9%
연금생활자 5
 
1.4%
교육 5
 
1.4%
자원봉사 5
 
1.4%
Other values (195) 261
71.1%
2023-12-12T22:33:52.724754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
290
 
18.7%
공 57
 
3.7%
사 53
 
3.4%
활 50
 
3.2%
원 47
 
3.0%
지 44
 
2.8%
화 40
 
2.6%
회 36
 
2.3%
성 33
 
2.1%
무 24
 
1.5%
Other values (223) 876
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1226
79.1%
Space Separator 290
 
18.7%
Other Punctuation 15
 
1.0%
Uppercase Letter 10
 
0.6%
Decimal Number 7
 
0.5%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 57
 
4.6%
사 53
 
4.3%
활 50
 
4.1%
원 47
 
3.8%
지 44
 
3.6%
화 40
 
3.3%
회 36
 
2.9%
성 33
 
2.7%
무 24
 
2.0%
및 23
 
1.9%
Other values (203) 819
66.8%
Uppercase Letter
ValueCountFrequency (%)
S 2
20.0%
A 2
20.0%
P 1
10.0%
C 1
10.0%
T 1
10.0%
K 1
10.0%
G 1
10.0%
E 1
10.0%
Decimal Number
ValueCountFrequency (%)
1 2
28.6%
0 2
28.6%
2 1
14.3%
3 1
14.3%
7 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 9
60.0%
· 3
 
20.0%
' 2
 
13.3%
? 1
 
6.7%
Space Separator
ValueCountFrequency (%)
290
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1226
79.1%
Common 314
 
20.3%
Latin 10
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 57
 
4.6%
사 53
 
4.3%
활 50
 
4.1%
원 47
 
3.8%
지 44
 
3.6%
화 40
 
3.3%
회 36
 
2.9%
성 33
 
2.7%
무 24
 
2.0%
및 23
 
1.9%
Other values (203) 819
66.8%
Common
ValueCountFrequency (%)
290
92.4%
, 9
 
2.9%
· 3
 
1.0%
1 2
 
0.6%
0 2
 
0.6%
' 2
 
0.6%
? 1
 
0.3%
2 1
 
0.3%
3 1
 
0.3%
) 1
 
0.3%
Other values (2) 2
 
0.6%
Latin
ValueCountFrequency (%)
S 2
20.0%
A 2
20.0%
P 1
10.0%
C 1
10.0%
T 1
10.0%
K 1
10.0%
G 1
10.0%
E 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1224
79.0%
ASCII 321
 
20.7%
None 3
 
0.2%
Compat Jamo 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
290
90.3%
, 9
 
2.8%
S 2
 
0.6%
1 2
 
0.6%
A 2
 
0.6%
0 2
 
0.6%
' 2
 
0.6%
? 1
 
0.3%
2 1
 
0.3%
3 1
 
0.3%
Other values (9) 9
 
2.8%
Hangul
ValueCountFrequency (%)
공 57
 
4.7%
사 53
 
4.3%
활 50
 
4.1%
원 47
 
3.8%
지 44
 
3.6%
화 40
 
3.3%
회 36
 
2.9%
성 33
 
2.7%
무 24
 
2.0%
및 23
 
1.9%
Other values (202) 817
66.7%
None
ValueCountFrequency (%)
· 3
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%

Interactions

2023-12-12T22:33:50.058134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:33:52.819225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분일자협약기관주요내용
구분1.0000.9880.9450.881
일자0.9881.0000.9950.784
협약기관0.9450.9951.0000.997
주요내용0.8810.7840.9971.000

Missing values

2023-12-12T22:33:50.475389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:33:50.575102image/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

구분일자협약기관주요내용
012020-02-12전북경로당광역지원센터은퇴공무원 사회참여활동 활성화
122020-04-22제주대학교 제주지역경제교육센터은퇴공무원 경제교육 및 전문봉사인력 양성
232020-05-12국민연금공단 등 4개 기관7대 사회보험 연구 협의체 구성
342020-05-13강원도경로당광역지원센터, 강원시청자미디어센터연금생활자 미디어 전문인력 양성
452020-05-19제주아동복지협회아동복지시설 보호종료 청소년자립 지원
562020-05-26대전시청자미디어센터은퇴공무원 미디어활용 역량 강화
672020-05-27인천서부노인보호전문기관노인 인권보호 및 학대예방
782020-06-01광주시시각장애인복지관광주시 시각장애인 대상 봉사
892020-06-12제주도 등 48개 기관공공기관 전기차 보급·지원 확대
9102020-06-16서울시청자미디어센터연금생활자 미디어 전문인력 양성
구분일자협약기관주요내용
71722022-08-03제주특별자치도 등 33개 기관민ㆍ관ㆍ공 자원연계 및 공동노력을 통해 지역사회문제 해결과, 지역사회혁신 생태계를 구축하기 위한 협력 추구
72732022-08-18국립민속국악원ESG경영 강화 및 사회적가치 실현
73742022-08-29ESG기반 지역사회공헌활동 및 자원봉사활성화(달구벌ONE팀)경북대학교 등 대학, 대구도시공사 등 공공기관, KT대구경북광역본부 등
74752022-09-22춘천지속가능발전협의회은퇴공무원 사회공헌활동지원
75762022-10-19국립제주호국원1사 1묘역 가꾸기 업무협력
76772022-10-28한국환경산업기술원, 비씨카드 주식회사공직사회 저탄소·친환경 소비생활 확산
77782022-11-18한국보훈복지의료기관공상공무원 전문재활치료 활성화
78792022-11-21농식품공무원교육원신규 교육 콘텐츠 개발 및 특화과정 공동 운영
79802022-11-28인도네시아 PT TASPEN, 필리핀 GSIS, 태국 GPF, 캄보디아 NSAF아시아공무원연금협의체(ACSPA)
80812022-12-02인천광역시교육청퇴직교원 재능나눔 활성화