Overview

Dataset statistics

Number of variables5
Number of observations173
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.9 KiB
Average record size in memory40.8 B

Variable types

Categorical1
Text2
DateTime2

Dataset

Description한국국제협력단이 제공하는 파견국 안전이슈 월력표로 국가별 사건발생일, 사건종료일, 사건내용 정보를 제공합니다.
Author한국국제협력단
URLhttps://www.data.go.kr/data/15080625/fileData.do

Reproduction

Analysis started2023-12-16 15:30:37.552122
Analysis finished2023-12-16 15:30:39.124938
Duration1.57 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

작성일
Categorical

Distinct31
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-10-02
40 
2023-04-07
32 
2023-06-26
12 
2023-05-16
10 
2021-04-14
10 
Other values (26)
69 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique11 ?
Unique (%)6.4%

Sample

1st row2021-03-18
2nd row2021-03-18
3rd row2021-03-18
4th row2021-03-18
5th row2021-04-14

Common Values

ValueCountFrequency (%)
2023-10-02 40
23.1%
2023-04-07 32
18.5%
2023-06-26 12
 
6.9%
2023-05-16 10
 
5.8%
2021-04-14 10
 
5.8%
2023-08-01 9
 
5.2%
2023-11-06 7
 
4.0%
2023-04-25 7
 
4.0%
2023-01-11 6
 
3.5%
2021-03-18 4
 
2.3%
Other values (21) 36
20.8%

Length

2023-12-16T15:30:39.523332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-10-02 40
23.1%
2023-04-07 32
18.5%
2023-06-26 12
 
6.9%
2023-05-16 10
 
5.8%
2021-04-14 10
 
5.8%
2023-08-01 9
 
5.2%
2023-11-06 7
 
4.0%
2023-04-25 7
 
4.0%
2023-01-11 6
 
3.5%
2021-03-18 4
 
2.3%
Other values (21) 36
20.8%

국가명
Text

Distinct58
Distinct (%)33.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-16T15:30:40.224995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length4.1676301
Min length2

Characters and Unicode

Total characters721
Distinct characters116
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)12.7%

Sample

1st row미얀마
2nd row파라과이
3rd row코트디부아르
4th row탄자니아
5th row페루
ValueCountFrequency (%)
네팔 15
 
7.6%
인도네시아 10
 
5.1%
방글라데시 8
 
4.0%
필리핀 7
 
3.5%
이스라엘 7
 
3.5%
국가 7
 
3.5%
미얀마 6
 
3.0%
태국 6
 
3.0%
스리랑카 6
 
3.0%
몽골 6
 
3.0%
Other values (54) 120
60.6%
2023-12-16T15:30:42.704809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 43
 
6.0%
스 31
 
4.3%
이 30
 
4.2%
라 29
 
4.0%
리 29
 
4.0%
네 27
 
3.7%
25
 
3.5%
시 21
 
2.9%
팔 16
 
2.2%
도 15
 
2.1%
Other values (106) 455
63.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 681
94.5%
Space Separator 25
 
3.5%
Uppercase Letter 8
 
1.1%
Open Punctuation 3
 
0.4%
Close Punctuation 3
 
0.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 43
 
6.3%
스 31
 
4.6%
이 30
 
4.4%
라 29
 
4.3%
리 29
 
4.3%
네 27
 
4.0%
시 21
 
3.1%
팔 16
 
2.3%
도 15
 
2.2%
국 15
 
2.2%
Other values (97) 425
62.4%
Uppercase Letter
ValueCountFrequency (%)
A 2
25.0%
E 2
25.0%
U 2
25.0%
D 1
12.5%
R 1
12.5%
Space Separator
ValueCountFrequency (%)
25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 681
94.5%
Common 32
 
4.4%
Latin 8
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 43
 
6.3%
스 31
 
4.6%
이 30
 
4.4%
라 29
 
4.3%
리 29
 
4.3%
네 27
 
4.0%
시 21
 
3.1%
팔 16
 
2.3%
도 15
 
2.2%
국 15
 
2.2%
Other values (97) 425
62.4%
Latin
ValueCountFrequency (%)
A 2
25.0%
E 2
25.0%
U 2
25.0%
D 1
12.5%
R 1
12.5%
Common
ValueCountFrequency (%)
25
78.1%
( 3
 
9.4%
) 3
 
9.4%
, 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 681
94.5%
ASCII 40
 
5.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 43
 
6.3%
스 31
 
4.6%
이 30
 
4.4%
라 29
 
4.3%
리 29
 
4.3%
네 27
 
4.0%
시 21
 
3.1%
팔 16
 
2.3%
도 15
 
2.2%
국 15
 
2.2%
Other values (97) 425
62.4%
ASCII
ValueCountFrequency (%)
25
62.5%
( 3
 
7.5%
) 3
 
7.5%
A 2
 
5.0%
E 2
 
5.0%
U 2
 
5.0%
D 1
 
2.5%
R 1
 
2.5%
, 1
 
2.5%

사건시작일
Date

Distinct141
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2021-01-04 00:00:00
Maximum2024-02-10 00:00:00
2023-12-16T15:30:43.446266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:30:44.533451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사건종료일
Date

Distinct141
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2021-01-04 00:00:00
Maximum2024-02-12 00:00:00
2023-12-16T15:30:45.705209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:30:46.919172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사건내용
Text

Distinct129
Distinct (%)74.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-16T15:30:49.153458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length59
Mean length14.283237
Min length2

Characters and Unicode

Total characters2471
Distinct characters306
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique118 ?
Unique (%)68.2%

Sample

1st row독립기념일
2nd row코로나19 치료제/백신 부족에 따른 항의 시위
3rd row총선 실시
4th row대통령 서거
5th row총선 실시
ValueCountFrequency (%)
날 34
 
6.6%
독립기념일 25
 
4.8%
축제 15
 
2.9%
of 13
 
2.5%
선거 9
 
1.7%
기념일 8
 
1.5%
실시 8
 
1.5%
총선 8
 
1.5%
대통령 7
 
1.4%
anniversary 7
 
1.4%
Other values (312) 383
74.1%
2023-12-16T15:30:51.527300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
344
 
13.9%
a 118
 
4.8%
i 63
 
2.5%
n 60
 
2.4%
일 55
 
2.2%
o 51
 
2.1%
e 50
 
2.0%
r 49
 
2.0%
기 47
 
1.9%
) 46
 
1.9%
Other values (296) 1588
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1143
46.3%
Lowercase Letter 718
29.1%
Space Separator 344
 
13.9%
Uppercase Letter 125
 
5.1%
Close Punctuation 46
 
1.9%
Open Punctuation 46
 
1.9%
Other Punctuation 22
 
0.9%
Decimal Number 19
 
0.8%
Dash Punctuation 7
 
0.3%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 55
 
4.8%
기 47
 
4.1%
의 44
 
3.8%
날 39
 
3.4%
념 37
 
3.2%
선 34
 
3.0%
이 33
 
2.9%
립 29
 
2.5%
독 29
 
2.5%
제 22
 
1.9%
Other values (236) 774
67.7%
Lowercase Letter
ValueCountFrequency (%)
a 118
16.4%
i 63
 
8.8%
n 60
 
8.4%
o 51
 
7.1%
e 50
 
7.0%
r 49
 
6.8%
t 40
 
5.6%
y 33
 
4.6%
l 33
 
4.6%
u 30
 
4.2%
Other values (14) 191
26.6%
Uppercase Letter
ValueCountFrequency (%)
D 20
16.0%
A 13
 
10.4%
B 9
 
7.2%
M 9
 
7.2%
T 9
 
7.2%
C 7
 
5.6%
N 7
 
5.6%
P 6
 
4.8%
F 6
 
4.8%
S 6
 
4.8%
Other values (11) 33
26.4%
Decimal Number
ValueCountFrequency (%)
2 5
26.3%
0 4
21.1%
1 4
21.1%
9 2
 
10.5%
8 2
 
10.5%
4 1
 
5.3%
5 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 16
72.7%
' 3
 
13.6%
/ 3
 
13.6%
Space Separator
ValueCountFrequency (%)
344
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1143
46.3%
Latin 843
34.1%
Common 485
19.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 55
 
4.8%
기 47
 
4.1%
의 44
 
3.8%
날 39
 
3.4%
념 37
 
3.2%
선 34
 
3.0%
이 33
 
2.9%
립 29
 
2.5%
독 29
 
2.5%
제 22
 
1.9%
Other values (236) 774
67.7%
Latin
ValueCountFrequency (%)
a 118
 
14.0%
i 63
 
7.5%
n 60
 
7.1%
o 51
 
6.0%
e 50
 
5.9%
r 49
 
5.8%
t 40
 
4.7%
y 33
 
3.9%
l 33
 
3.9%
u 30
 
3.6%
Other values (35) 316
37.5%
Common
ValueCountFrequency (%)
344
70.9%
) 46
 
9.5%
( 46
 
9.5%
, 16
 
3.3%
- 7
 
1.4%
2 5
 
1.0%
0 4
 
0.8%
1 4
 
0.8%
' 3
 
0.6%
/ 3
 
0.6%
Other values (5) 7
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1328
53.7%
Hangul 1143
46.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
344
25.9%
a 118
 
8.9%
i 63
 
4.7%
n 60
 
4.5%
o 51
 
3.8%
e 50
 
3.8%
r 49
 
3.7%
) 46
 
3.5%
( 46
 
3.5%
t 40
 
3.0%
Other values (50) 461
34.7%
Hangul
ValueCountFrequency (%)
일 55
 
4.8%
기 47
 
4.1%
의 44
 
3.8%
날 39
 
3.4%
념 37
 
3.2%
선 34
 
3.0%
이 33
 
2.9%
립 29
 
2.5%
독 29
 
2.5%
제 22
 
1.9%
Other values (236) 774
67.7%

Correlations

2023-12-16T15:30:52.238439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
작성일국가명
작성일1.0000.551
국가명0.5511.000

Missing values

2023-12-16T15:30:38.420027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-16T15:30:38.926713image/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

작성일국가명사건시작일사건종료일사건내용
02021-03-18미얀마2021-01-042021-01-04독립기념일
12021-03-18파라과이2021-03-052021-03-05코로나19 치료제/백신 부족에 따른 항의 시위
22021-03-18코트디부아르2021-03-062021-03-06총선 실시
32021-03-18탄자니아2021-03-172021-03-17대통령 서거
42021-04-14페루2021-04-112021-04-11총선 실시
52021-04-14스리랑카2021-04-212021-04-21부활절 테러 2주기
62021-04-14네팔2021-04-302021-04-30네팔 조기 총선(1차)
72021-04-14네팔2021-05-102021-05-10네팔 조기 총선(2차)
82021-04-14파라과이2021-05-152021-05-15독립기념일
92021-04-14에콰도르2021-05-242021-05-24독립기념일
작성일국가명사건시작일사건종료일사건내용
1632023-10-23모로코, 튀니지2024-01-132024-01-13Berber New Year(Yennayer, 옌나예르)
1642023-11-06튀니지2024-01-142024-01-14Anniversary of Jasmine Revolution(튀니지 혁명 기념일)
1652023-10-02우크라이나2024-01-222024-01-22Unity Day(통합의 날)
1662023-10-02이집트2024-01-252024-01-25Anniversary of revolution(혁명 기념일)
1672023-10-02말레이시아2024-01-252024-01-25Thaipusam(타이푸삼, 힌두교 축제)
1682023-11-06말레이시아2024-02-012024-02-01Federal Territory Day(연방 자치령의 날)
1692023-11-06스리랑카2024-02-042024-02-04독립기념일
1702023-11-06파키스탄2024-02-052024-02-05Kashmir Solidarity Day(카슈미르와의 연대의 날)
1712023-11-06베트남2024-02-102024-02-10Tet(뗏, 설날)
1722023-11-06몽골2024-02-102024-02-12Tsagaan Sar(차간사르, 음력 설날)