Overview

Dataset statistics

Number of variables5
Number of observations47
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory43.8 B

Variable types

Numeric1
Categorical2
Text2

Dataset

Description한국국제협력단(KOICA)의 해외사무소의 번호, 구분, 지역, 주소 정보입니다.자세한 사항은 KOICA 홈페이지에서 확인하실 수 있습니다.URL: https://www.koica.go.kr/koica_kr/1045/subview.do
Author한국국제협력단
URLhttps://www.data.go.kr/data/15050006/fileData.do

Alerts

번호 is highly overall correlated with 지역High correlation
지역 is highly overall correlated with 번호High correlation
구분 is highly imbalanced (85.1%)Imbalance
번호 has unique valuesUnique
해외사무소명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-23 06:48:05.640392
Analysis finished2023-12-23 06:48:07.395231
Duration1.75 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24
Minimum1
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-23T06:48:07.605143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.3
Q112.5
median24
Q335.5
95-th percentile44.7
Maximum47
Range46
Interquartile range (IQR)23

Descriptive statistics

Standard deviation13.711309
Coefficient of variation (CV)0.57130455
Kurtosis-1.2
Mean24
Median Absolute Deviation (MAD)12
Skewness0
Sum1128
Variance188
MonotonicityStrictly increasing
2023-12-23T06:48:08.027701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
1 1
 
2.1%
2 1
 
2.1%
27 1
 
2.1%
28 1
 
2.1%
29 1
 
2.1%
30 1
 
2.1%
31 1
 
2.1%
32 1
 
2.1%
33 1
 
2.1%
34 1
 
2.1%
Other values (37) 37
78.7%
ValueCountFrequency (%)
1 1
2.1%
2 1
2.1%
3 1
2.1%
4 1
2.1%
5 1
2.1%
6 1
2.1%
7 1
2.1%
8 1
2.1%
9 1
2.1%
10 1
2.1%
ValueCountFrequency (%)
47 1
2.1%
46 1
2.1%
45 1
2.1%
44 1
2.1%
43 1
2.1%
42 1
2.1%
41 1
2.1%
40 1
2.1%
39 1
2.1%
38 1
2.1%

구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
해외사무소
46 
분사무소
 
1

Length

Max length5
Median length5
Mean length4.9787234
Min length4

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
해외사무소 46
97.9%
분사무소 1
 
2.1%

Length

2023-12-23T06:48:08.428022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T06:48:08.782320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해외사무소 46
97.9%
분사무소 1
 
2.1%

지역
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size508.0 B
아프리카
16 
아시아
13 
중남미
8 
동구 및 CIS
5 
중동
4 

Length

Max length8
Median length4
Mean length4.106383
Min length2

Unique

Unique1 ?
Unique (%)2.1%

Sample

1st row동구 및 CIS
2nd row동구 및 CIS
3rd row동구 및 CIS
4th row동구 및 CIS
5th row동구 및 CIS

Common Values

ValueCountFrequency (%)
아프리카 16
34.0%
아시아 13
27.7%
중남미 8
17.0%
동구 및 CIS 5
 
10.6%
중동 4
 
8.5%
오세아니아 1
 
2.1%

Length

2023-12-23T06:48:09.069795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T06:48:09.461610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아프리카 16
28.1%
아시아 13
22.8%
중남미 8
14.0%
동구 5
 
8.8%
및 5
 
8.8%
cis 5
 
8.8%
중동 4
 
7.0%
오세아니아 1
 
1.8%

해외사무소명
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-23T06:48:10.177041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length14.93617
Min length13

Characters and Unicode

Total characters702
Distinct characters99
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)100.0%

Sample

1st row한국국제협력단 아제르바이잔사무소
2nd row한국국제협력단 우즈베키스탄사무소
3rd row한국국제협력단 우크라이나사무소
4th row한국국제협력단 키르기스스탄사무소
5th row한국국제협력단 타지키스탄사무소
ValueCountFrequency (%)
한국국제협력단 47
50.0%
아제르바이잔사무소 1
 
1.1%
도미니카공화국사무소 1
 
1.1%
우간다사무소 1
 
1.1%
이집트사무소 1
 
1.1%
카메룬사무소 1
 
1.1%
케냐사무소 1
 
1.1%
코트디부아르사무소 1
 
1.1%
콩고민주공화국사무소 1
 
1.1%
탄자니아사무소 1
 
1.1%
Other values (38) 38
40.4%
2023-12-23T06:48:11.284628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 97
13.8%
제 49
 
7.0%
단 48
 
6.8%
한 47
 
6.7%
무 47
 
6.7%
협 47
 
6.7%
력 47
 
6.7%
47
 
6.7%
소 47
 
6.7%
사 47
 
6.7%
Other values (89) 179
25.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 655
93.3%
Space Separator 47
 
6.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 97
14.8%
제 49
 
7.5%
단 48
 
7.3%
한 47
 
7.2%
무 47
 
7.2%
협 47
 
7.2%
력 47
 
7.2%
소 47
 
7.2%
사 47
 
7.2%
아 10
 
1.5%
Other values (88) 169
25.8%
Space Separator
ValueCountFrequency (%)
47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 655
93.3%
Common 47
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 97
14.8%
제 49
 
7.5%
단 48
 
7.3%
한 47
 
7.2%
무 47
 
7.2%
협 47
 
7.2%
력 47
 
7.2%
소 47
 
7.2%
사 47
 
7.2%
아 10
 
1.5%
Other values (88) 169
25.8%
Common
ValueCountFrequency (%)
47
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 655
93.3%
ASCII 47
 
6.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 97
14.8%
제 49
 
7.5%
단 48
 
7.3%
한 47
 
7.2%
무 47
 
7.2%
협 47
 
7.2%
력 47
 
7.2%
소 47
 
7.2%
사 47
 
7.2%
아 10
 
1.5%
Other values (88) 169
25.8%
ASCII
ValueCountFrequency (%)
47
100.0%

주소
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-23T06:48:12.212319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length149
Median length103
Mean length94.319149
Min length62

Characters and Unicode

Total characters4433
Distinct characters77
Distinct categories11 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)100.0%

Sample

1st rowKOICA Azerbaijan Office, Izmir Street 2, AZ1065, Baku Tower1,Hyatt International Center, Azerbaijan
2nd rowKOICA Uzbekistan Office, Mirabad district, Afrosiyob str, 12B, Tashkent, Uzbekistan
3rd rowKOICA Ukrine Office, 27F(Gulliver Building), 1-A, Sportyvna Square, Pecherskyi district, Kyiv, Ukraine
4th rowKOICA Kyrgyzstan Office, 8 floor, Str. Razzakova 32, Bishkek, Kyrgyzstan
5th rowKOICA Tajkistan Office, (734003) 9, Lev Tolstoy Street., Dushanbe, Tajikistan
ValueCountFrequency (%)
koica 47
 
7.1%
office 45
 
6.8%
floor 11
 
1.7%
street 9
 
1.4%
no 8
 
1.2%
de 7
 
1.1%
center 6
 
0.9%
torre 5
 
0.8%
av 5
 
0.8%
el 5
 
0.8%
Other values (390) 515
77.7%
2023-12-23T06:48:14.367853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
612
 
13.8%
a 319
 
7.2%
i 254
 
5.7%
e 248
 
5.6%
, 231
 
5.2%
o 218
 
4.9%
r 188
 
4.2%
n 153
 
3.5%
l 141
 
3.2%
t 122
 
2.8%
Other values (67) 1947
43.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2485
56.1%
Uppercase Letter 780
 
17.6%
Space Separator 619
 
14.0%
Other Punctuation 277
 
6.2%
Decimal Number 242
 
5.5%
Dash Punctuation 15
 
0.3%
Close Punctuation 5
 
0.1%
Open Punctuation 5
 
0.1%
Other Symbol 2
 
< 0.1%
Final Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 319
12.8%
i 254
10.2%
e 248
 
10.0%
o 218
 
8.8%
r 188
 
7.6%
n 153
 
6.2%
l 141
 
5.7%
t 122
 
4.9%
f 115
 
4.6%
d 106
 
4.3%
Other values (18) 621
25.0%
Uppercase Letter
ValueCountFrequency (%)
O 106
13.6%
C 92
11.8%
A 85
10.9%
K 64
 
8.2%
I 64
 
8.2%
S 40
 
5.1%
B 40
 
5.1%
P 38
 
4.9%
N 36
 
4.6%
T 29
 
3.7%
Other values (16) 186
23.8%
Decimal Number
ValueCountFrequency (%)
1 42
17.4%
0 37
15.3%
2 34
14.0%
5 25
10.3%
4 22
9.1%
3 21
8.7%
6 18
7.4%
7 15
 
6.2%
9 15
 
6.2%
8 13
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 231
83.4%
. 40
 
14.4%
/ 3
 
1.1%
# 2
 
0.7%
& 1
 
0.4%
Space Separator
ValueCountFrequency (%)
612
98.9%
  7
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Other Symbol
ValueCountFrequency (%)
° 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3266
73.7%
Common 1167
 
26.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 319
 
9.8%
i 254
 
7.8%
e 248
 
7.6%
o 218
 
6.7%
r 188
 
5.8%
n 153
 
4.7%
l 141
 
4.3%
t 122
 
3.7%
f 115
 
3.5%
d 106
 
3.2%
Other values (45) 1402
42.9%
Common
ValueCountFrequency (%)
612
52.4%
, 231
 
19.8%
1 42
 
3.6%
. 40
 
3.4%
0 37
 
3.2%
2 34
 
2.9%
5 25
 
2.1%
4 22
 
1.9%
3 21
 
1.8%
6 18
 
1.5%
Other values (12) 85
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4417
99.6%
None 13
 
0.3%
Punctuation 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
612
 
13.9%
a 319
 
7.2%
i 254
 
5.8%
e 248
 
5.6%
, 231
 
5.2%
o 218
 
4.9%
r 188
 
4.3%
n 153
 
3.5%
l 141
 
3.2%
t 122
 
2.8%
Other values (61) 1931
43.7%
None
ValueCountFrequency (%)
  7
53.8%
° 2
 
15.4%
ô 2
 
15.4%
é 2
 
15.4%
Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

Interactions

2023-12-23T06:48:06.403870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-23T06:48:14.817401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구분지역해외사무소명주소
번호1.0000.0000.9291.0001.000
구분0.0001.0000.5221.0001.000
지역0.9290.5221.0001.0001.000
해외사무소명1.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.000
2023-12-23T06:48:15.189114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역구분
지역1.0000.357
구분0.3571.000
2023-12-23T06:48:15.536976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구분지역
번호1.0000.0000.777
구분0.0001.0000.357
지역0.7770.3571.000

Missing values

2023-12-23T06:48:06.715285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-23T06:48:07.292494image/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

번호구분지역해외사무소명주소
01해외사무소동구 및 CIS한국국제협력단 아제르바이잔사무소KOICA Azerbaijan Office, Izmir Street 2, AZ1065, Baku Tower1,Hyatt International Center, Azerbaijan
12해외사무소동구 및 CIS한국국제협력단 우즈베키스탄사무소KOICA Uzbekistan Office, Mirabad district, Afrosiyob str, 12B, Tashkent, Uzbekistan
23해외사무소동구 및 CIS한국국제협력단 우크라이나사무소KOICA Ukrine Office, 27F(Gulliver Building), 1-A, Sportyvna Square, Pecherskyi district, Kyiv, Ukraine
34해외사무소동구 및 CIS한국국제협력단 키르기스스탄사무소KOICA Kyrgyzstan Office, 8 floor, Str. Razzakova 32, Bishkek, Kyrgyzstan
45해외사무소동구 및 CIS한국국제협력단 타지키스탄사무소KOICA Tajkistan Office, (734003) 9, Lev Tolstoy Street., Dushanbe, Tajikistan
56해외사무소아시아한국국제협력단 네팔사무소KOICA Nepal Office, P.O. Box 5562, Ward #2, Jwagal, Kupondol, Lalitpur, Nepal
67해외사무소아시아한국국제협력단 동티모르사무소KOICA Timor-Leste Office, Level 5, CBD5, Dili Central, Comoro, Dili, Timor-Leste
78해외사무소아시아한국국제협력단 라오스사무소KOICA Laos Office, 3rd Floor, Vientiane Plaza Hotel, Sailom Road, Hatsady Neua Village, Chanthabouly District, Vientiane Capital, Laos
89해외사무소아시아한국국제협력단 몽골사무소KOICA Mongolia Office,2nd Floor, MCS Plaza, Seoul Street 4, Sukhbaatar District, P.O.Box 44-852, Ulaanbaatar 14250, Mongolia
910해외사무소아시아한국국제협력단 미얀마사무소KOICA Myanmar Office, No. 3 Pyay Road, 6 Miles, Hlaing Township, Yangon, Myanmar
번호구분지역해외사무소명주소
3738해외사무소중남미한국국제협력단 볼리비아사무소KOICA Bolivia Office, Calacoto, Calle 15 N 8089, Edif. Torre Fergal. Piso 1. Of. 1A. La Paz, Bolivia
3839해외사무소중남미한국국제협력단 에콰도르사무소KOICA Ecuador Office, Av. 12 de Octubre N24-660 y Francisco Salazar Edif. Concorde, Piso 3, Quito, Ecuador
3940해외사무소중남미한국국제협력단 엘살바도르사무소KOICA El Salvador Office, Calle El Mirador y 87 Av.Norte, Edificio Torre Futura, Nivel 10, Local 3, Colonia Escalon, San Salvador, El Salvador
4041해외사무소중남미한국국제협력단 콜롬비아사무소KOICA Colombia Office, Av Carrera7 No.113-43, Edificio Torre Samsung, Offices 1806, 1807, 1808, Bogota D.C, Colombia
4142해외사무소중남미한국국제협력단 파라과이사무소KOICA Paraguay Office, Avda.Aviadores del Chaco N2050, Edificio World Trade Center Asuncion, Torre 1, Piso 15 de la ciudad de Asuncion, Paraguay
4243해외사무소중남미한국국제협력단 페루사무소KOICA Peru Office, Av. Juan de Arona 720, San Isidro, Lima, Peru
4344해외사무소중동한국국제협력단 요르단사무소KOICA Jordan Office, 2nd floor, Beidas Complex, Princes Basma Street, Amman, Jordan
4445해외사무소중동한국국제협력단 이라크사무소KOICA Iraq Office, Karrada, Mariam(District No. 427/132), Baghdad, Iraq
4546분사무소중동한국국제협력단 이라크아르빌분사무소KOICA Erbil Office Iraq, Park View, Building B3, Flat No.25, Erbil, Iraq
4647해외사무소중동한국국제협력단 팔레스타인사무소KOICA Palestine Office, 5th floor, Plot of Land No. 99, Block No. 19, Almadina part 21 Dar Awad, Ramallah, Palestine