Overview

Dataset statistics

Number of variables10
Number of observations383
Missing cells32
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory30.8 KiB
Average record size in memory82.3 B

Variable types

Text6
Categorical2
Numeric2

Dataset

Description해외 각국 380여개의 재외공관 목록과 타임존, 홈페이지 주소 정보가 담긴 파일데이터 *공관코드의 경우 의미를 가지는 코드는 아닙니다.
URLhttps://www.data.go.kr/data/15040209/fileData.do

Alerts

타임존일련번호 is highly overall correlated with 공관일련번호High correlation
공관일련번호 is highly overall correlated with 타임존일련번호High correlation
사이트타입 is highly imbalanced (82.6%)Imbalance
공관일련번호 has 16 (4.2%) missing valuesMissing
공관코드상세 has 16 (4.2%) missing valuesMissing
사이트아이디 has unique valuesUnique
홈페이지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:09:54.560174
Analysis finished2023-12-12 14:09:55.862876
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

재외공관 코드
Text

Distinct183
Distinct (%)47.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T23:09:56.142470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length2
Mean length4.4569191
Min length2

Characters and Unicode

Total characters1707
Distinct characters27
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.8%

Sample

1st rowae
2nd rowae
3rd rowae
4th rowae-dubai
5th rowae-dubai
ValueCountFrequency (%)
ae 3
 
0.8%
gr 3
 
0.8%
ps 3
 
0.8%
kw 3
 
0.8%
ae-dubai 3
 
0.8%
mm 3
 
0.8%
no 3
 
0.8%
ir 3
 
0.8%
om 3
 
0.8%
il 3
 
0.8%
Other values (173) 353
92.2%
2023-12-12T23:09:56.633727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 179
 
10.5%
n 135
 
7.9%
- 114
 
6.7%
s 105
 
6.2%
u 99
 
5.8%
e 98
 
5.7%
o 97
 
5.7%
c 77
 
4.5%
r 72
 
4.2%
t 71
 
4.2%
Other values (17) 660
38.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1593
93.3%
Dash Punctuation 114
 
6.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 179
 
11.2%
n 135
 
8.5%
s 105
 
6.6%
u 99
 
6.2%
e 98
 
6.2%
o 97
 
6.1%
c 77
 
4.8%
r 72
 
4.5%
t 71
 
4.5%
i 71
 
4.5%
Other values (16) 589
37.0%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1593
93.3%
Common 114
 
6.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 179
 
11.2%
n 135
 
8.5%
s 105
 
6.6%
u 99
 
6.2%
e 98
 
6.2%
o 97
 
6.1%
c 77
 
4.8%
r 72
 
4.5%
t 71
 
4.5%
i 71
 
4.5%
Other values (16) 589
37.0%
Common
ValueCountFrequency (%)
- 114
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1707
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 179
 
10.5%
n 135
 
7.9%
- 114
 
6.7%
s 105
 
6.2%
u 99
 
5.8%
e 98
 
5.7%
o 97
 
5.7%
c 77
 
4.5%
r 72
 
4.2%
t 71
 
4.2%
Other values (17) 660
38.7%

재외공관명
Text

Distinct381
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T23:09:56.873102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length151
Median length81
Mean length33.848564
Min length8

Characters and Unicode

Total characters12964
Distinct characters376
Distinct categories9 ?
Distinct scripts6 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique379 ?
Unique (%)99.0%

Sample

1st row
2nd row주 아랍에미리트 대한민국 대사관
3rd rowEmbassy of the Republic of Korea to United Arab Emirates
4th row
5th row주 두바이 대한민국 총영사관
ValueCountFrequency (%)
of 219
 
9.0%
주 184
 
7.6%
대한민국 183
 
7.6%
the 140
 
5.8%
대사관 118
 
4.9%
republic 116
 
4.8%
korea 97
 
4.0%
de 66
 
2.7%
in 64
 
2.6%
embassy 59
 
2.4%
Other values (592) 1177
48.6%
2023-12-12T23:09:57.346283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2883
22.2%
e 865
 
6.7%
a 698
 
5.4%
o 562
 
4.3%
i 436
 
3.4%
l 372
 
2.9%
n 344
 
2.7%
b 320
 
2.5%
대 312
 
2.4%
t 311
 
2.4%
Other values (366) 5861
45.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6780
52.3%
Space Separator 2883
22.2%
Other Letter 2382
 
18.4%
Uppercase Letter 880
 
6.8%
Math Symbol 16
 
0.1%
Other Punctuation 15
 
0.1%
Dash Punctuation 4
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 312
 
13.1%
국 200
 
8.4%
주 188
 
7.9%
민 186
 
7.8%
한 184
 
7.7%
관 177
 
7.4%
사 169
 
7.1%
영 47
 
2.0%
총 46
 
1.9%
스 35
 
1.5%
Other values (248) 838
35.2%
Lowercase Letter
ValueCountFrequency (%)
e 865
 
12.8%
a 698
 
10.3%
o 562
 
8.3%
i 436
 
6.4%
l 372
 
5.5%
n 344
 
5.1%
b 320
 
4.7%
t 311
 
4.6%
r 303
 
4.5%
s 274
 
4.0%
Other values (55) 2295
33.8%
Uppercase Letter
ValueCountFrequency (%)
R 195
22.2%
K 123
14.0%
E 94
10.7%
C 89
10.1%
A 40
 
4.5%
G 30
 
3.4%
S 28
 
3.2%
P 21
 
2.4%
N 20
 
2.3%
Р 20
 
2.3%
Other values (34) 220
25.0%
Other Punctuation
ValueCountFrequency (%)
/ 8
53.3%
' 4
26.7%
. 3
 
20.0%
Math Symbol
ValueCountFrequency (%)
< 8
50.0%
> 8
50.0%
Space Separator
ValueCountFrequency (%)
2883
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7017
54.1%
Common 2922
22.5%
Hangul 2249
 
17.3%
Cyrillic 608
 
4.7%
Han 133
 
1.0%
Greek 35
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 312
13.9%
국 200
 
8.9%
주 188
 
8.4%
민 186
 
8.3%
한 184
 
8.2%
관 177
 
7.9%
사 169
 
7.5%
영 47
 
2.1%
총 46
 
2.0%
스 35
 
1.6%
Other values (207) 705
31.3%
Latin
ValueCountFrequency (%)
e 865
 
12.3%
a 698
 
9.9%
o 562
 
8.0%
i 436
 
6.2%
l 372
 
5.3%
n 344
 
4.9%
b 320
 
4.6%
t 311
 
4.4%
r 303
 
4.3%
s 274
 
3.9%
Other values (43) 2532
36.1%
Cyrillic
ValueCountFrequency (%)
е 60
 
9.9%
о 59
 
9.7%
с 57
 
9.4%
л 42
 
6.9%
и 39
 
6.4%
к 30
 
4.9%
у 29
 
4.8%
в 27
 
4.4%
а 26
 
4.3%
р 26
 
4.3%
Other values (32) 213
35.0%
Han
ValueCountFrequency (%)
大 21
15.8%
民 18
13.5%
事 16
12.0%
韓 12
 
9.0%
駐 11
 
8.3%
館 10
 
7.5%
領 8
 
6.0%
台 2
 
1.5%
國 2
 
1.5%
使 2
 
1.5%
Other values (31) 31
23.3%
Greek
ValueCountFrequency (%)
η 5
14.3%
α 5
14.3%
τ 4
11.4%
κ 3
8.6%
ο 3
8.6%
ρ 3
8.6%
Δ 2
 
5.7%
λ 2
 
5.7%
μ 2
 
5.7%
ν 2
 
5.7%
Other values (4) 4
11.4%
Common
ValueCountFrequency (%)
2883
98.7%
/ 8
 
0.3%
< 8
 
0.3%
> 8
 
0.3%
- 4
 
0.1%
' 4
 
0.1%
. 3
 
0.1%
) 2
 
0.1%
( 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9934
76.6%
Hangul 2249
 
17.3%
Cyrillic 608
 
4.7%
CJK 132
 
1.0%
None 40
 
0.3%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2883
29.0%
e 865
 
8.7%
a 698
 
7.0%
o 562
 
5.7%
i 436
 
4.4%
l 372
 
3.7%
n 344
 
3.5%
b 320
 
3.2%
t 311
 
3.1%
r 303
 
3.1%
Other values (50) 2840
28.6%
Hangul
ValueCountFrequency (%)
대 312
13.9%
국 200
 
8.9%
주 188
 
8.4%
민 186
 
8.3%
한 184
 
8.2%
관 177
 
7.9%
사 169
 
7.5%
영 47
 
2.1%
총 46
 
2.0%
스 35
 
1.6%
Other values (207) 705
31.3%
Cyrillic
ValueCountFrequency (%)
е 60
 
9.9%
о 59
 
9.7%
с 57
 
9.4%
л 42
 
6.9%
и 39
 
6.4%
к 30
 
4.9%
у 29
 
4.8%
в 27
 
4.4%
а 26
 
4.3%
р 26
 
4.3%
Other values (32) 213
35.0%
CJK
ValueCountFrequency (%)
大 21
15.9%
民 18
13.6%
事 16
12.1%
韓 12
 
9.1%
駐 11
 
8.3%
館 10
 
7.6%
領 8
 
6.1%
台 2
 
1.5%
國 2
 
1.5%
使 2
 
1.5%
Other values (30) 30
22.7%
None
ValueCountFrequency (%)
η 5
12.5%
α 5
12.5%
τ 4
10.0%
ı 4
10.0%
κ 3
7.5%
ο 3
7.5%
ρ 3
7.5%
Δ 2
 
5.0%
λ 2
 
5.0%
μ 2
 
5.0%
Other values (6) 7
17.5%
CJK Compat Ideographs
ValueCountFrequency (%)
領 1
100.0%

사이트아이디
Text

UNIQUE 

Distinct383
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T23:09:57.698290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length5
Mean length7.4569191
Min length5

Characters and Unicode

Total characters2856
Distinct characters27
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique383 ?
Unique (%)100.0%

Sample

1st rowae-ar
2nd rowae-ko
3rd rowae-en
4th rowae-dubai-ar
5th rowae-dubai-ko
ValueCountFrequency (%)
ae-ar 1
 
0.3%
pk-karachi-ko 1
 
0.3%
ph-cebu-en 1
 
0.3%
ph-cebu-ko 1
 
0.3%
ph-en 1
 
0.3%
ph-ko 1
 
0.3%
pg-ko 1
 
0.3%
pg-en 1
 
0.3%
pe-es 1
 
0.3%
pe-ko 1
 
0.3%
Other values (373) 373
97.4%
2023-12-12T23:09:58.192325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 497
17.4%
o 282
 
9.9%
k 241
 
8.4%
n 225
 
7.9%
e 215
 
7.5%
a 207
 
7.2%
s 128
 
4.5%
u 109
 
3.8%
r 107
 
3.7%
h 83
 
2.9%
Other values (17) 762
26.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2359
82.6%
Dash Punctuation 497
 
17.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 282
12.0%
k 241
 
10.2%
n 225
 
9.5%
e 215
 
9.1%
a 207
 
8.8%
s 128
 
5.4%
u 109
 
4.6%
r 107
 
4.5%
h 83
 
3.5%
t 83
 
3.5%
Other values (16) 679
28.8%
Dash Punctuation
ValueCountFrequency (%)
- 497
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2359
82.6%
Common 497
 
17.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 282
12.0%
k 241
 
10.2%
n 225
 
9.5%
e 215
 
9.1%
a 207
 
8.8%
s 128
 
5.4%
u 109
 
4.6%
r 107
 
4.5%
h 83
 
3.5%
t 83
 
3.5%
Other values (16) 679
28.8%
Common
ValueCountFrequency (%)
- 497
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2856
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 497
17.4%
o 282
 
9.9%
k 241
 
8.4%
n 225
 
7.9%
e 215
 
7.5%
a 207
 
7.2%
s 128
 
4.5%
u 109
 
3.8%
r 107
 
3.7%
h 83
 
2.9%
Other values (17) 762
26.7%

언어구분
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
재외공관(국문)
180 
재외공관(현지어)
114 
재외공관(영문)
89 

Length

Max length9
Median length8
Mean length8.2976501
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row재외공관(현지어)
2nd row재외공관(국문)
3rd row재외공관(영문)
4th row재외공관(현지어)
5th row재외공관(국문)

Common Values

ValueCountFrequency (%)
재외공관(국문) 180
47.0%
재외공관(현지어) 114
29.8%
재외공관(영문) 89
23.2%

Length

2023-12-12T23:09:58.349023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:09:58.465199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재외공관(국문 180
47.0%
재외공관(현지어 114
29.8%
재외공관(영문 89
23.2%

사이트타입
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
반응형
366 
로컬
 
16
레거시
 
1

Length

Max length3
Median length3
Mean length2.9582245
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row로컬
2nd row반응형
3rd row반응형
4th row로컬
5th row반응형

Common Values

ValueCountFrequency (%)
반응형 366
95.6%
로컬 16
 
4.2%
레거시 1
 
0.3%

Length

2023-12-12T23:09:58.587879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:09:58.728235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
반응형 366
95.6%
로컬 16
 
4.2%
레거시 1
 
0.3%

타임존일련번호
Real number (ℝ)

HIGH CORRELATION 

Distinct179
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.1201
Minimum8
Maximum202
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-12T23:09:58.872964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile19
Q156
median103
Q3157.5
95-th percentile193
Maximum202
Range194
Interquartile range (IQR)101.5

Descriptive statistics

Standard deviation57.290855
Coefficient of variation (CV)0.54500379
Kurtosis-1.2616556
Mean105.1201
Median Absolute Deviation (MAD)51
Skewness0.04154946
Sum40261
Variance3282.2421
MonotonicityNot monotonic
2023-12-12T23:09:59.365494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
107 4
 
1.0%
66 4
 
1.0%
87 4
 
1.0%
23 4
 
1.0%
175 3
 
0.8%
37 3
 
0.8%
105 3
 
0.8%
78 3
 
0.8%
188 3
 
0.8%
106 3
 
0.8%
Other values (169) 349
91.1%
ValueCountFrequency (%)
8 2
0.5%
9 2
0.5%
10 2
0.5%
11 2
0.5%
12 1
0.3%
14 2
0.5%
15 2
0.5%
16 2
0.5%
17 2
0.5%
18 2
0.5%
ValueCountFrequency (%)
202 2
0.5%
201 2
0.5%
200 2
0.5%
199 2
0.5%
198 2
0.5%
197 2
0.5%
196 2
0.5%
195 2
0.5%
194 2
0.5%
193 3
0.8%

타임존코드상세
Text

Distinct134
Distinct (%)35.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T23:09:59.662277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length19
Mean length13.046997
Min length5

Characters and Unicode

Total characters4997
Distinct characters55
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st rowAsia/Dubai
2nd rowAsia/Dubai
3rd rowAsia/Dubai
4th rowAsia/Dubai
5th rowAsia/Dubai
ValueCountFrequency (%)
japan 20
 
5.2%
asia/shanghai 19
 
5.0%
europe/berlin 8
 
2.1%
asia/dubai 6
 
1.6%
europe/paris 6
 
1.6%
asia/calcutta 6
 
1.6%
europe/rome 6
 
1.6%
america/new_york 6
 
1.6%
asia/riyadh 5
 
1.3%
europe/zurich 5
 
1.3%
Other values (124) 296
77.3%
2023-12-12T23:10:00.100769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 695
13.9%
i 465
 
9.3%
/ 351
 
7.0%
r 336
 
6.7%
A 292
 
5.8%
e 289
 
5.8%
s 241
 
4.8%
o 234
 
4.7%
n 202
 
4.0%
u 194
 
3.9%
Other values (45) 1698
34.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3762
75.3%
Uppercase Letter 831
 
16.6%
Other Punctuation 351
 
7.0%
Connector Punctuation 41
 
0.8%
Decimal Number 12
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 695
18.5%
i 465
12.4%
r 336
8.9%
e 289
 
7.7%
s 241
 
6.4%
o 234
 
6.2%
n 202
 
5.4%
u 194
 
5.2%
c 193
 
5.1%
p 125
 
3.3%
Other values (16) 788
20.9%
Uppercase Letter
ValueCountFrequency (%)
A 292
35.1%
E 93
 
11.2%
S 53
 
6.4%
P 48
 
5.8%
T 42
 
5.1%
B 39
 
4.7%
C 35
 
4.2%
M 35
 
4.2%
D 32
 
3.9%
J 31
 
3.7%
Other values (14) 131
15.8%
Decimal Number
ValueCountFrequency (%)
5 4
33.3%
8 4
33.3%
6 4
33.3%
Other Punctuation
ValueCountFrequency (%)
/ 351
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4593
91.9%
Common 404
 
8.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 695
15.1%
i 465
 
10.1%
r 336
 
7.3%
A 292
 
6.4%
e 289
 
6.3%
s 241
 
5.2%
o 234
 
5.1%
n 202
 
4.4%
u 194
 
4.2%
c 193
 
4.2%
Other values (40) 1452
31.6%
Common
ValueCountFrequency (%)
/ 351
86.9%
_ 41
 
10.1%
5 4
 
1.0%
8 4
 
1.0%
6 4
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4997
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 695
13.9%
i 465
 
9.3%
/ 351
 
7.0%
r 336
 
6.7%
A 292
 
5.8%
e 289
 
5.8%
s 241
 
4.8%
o 234
 
4.7%
n 202
 
4.0%
u 194
 
3.9%
Other values (45) 1698
34.0%

공관일련번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct183
Distinct (%)49.9%
Missing16
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean103.71662
Minimum8
Maximum204
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-12T23:10:00.255574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile17.3
Q154.5
median100
Q3155.5
95-th percentile194
Maximum204
Range196
Interquartile range (IQR)101

Descriptive statistics

Standard deviation57.29071
Coefficient of variation (CV)0.55237733
Kurtosis-1.2328679
Mean103.71662
Median Absolute Deviation (MAD)51
Skewness0.069698299
Sum38064
Variance3282.2255
MonotonicityNot monotonic
2023-12-12T23:10:00.481510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
182 4
 
1.0%
121 3
 
0.8%
128 3
 
0.8%
78 3
 
0.8%
52 2
 
0.5%
129 2
 
0.5%
178 2
 
0.5%
100 2
 
0.5%
102 2
 
0.5%
56 2
 
0.5%
Other values (173) 342
89.3%
(Missing) 16
 
4.2%
ValueCountFrequency (%)
8 2
0.5%
9 2
0.5%
10 2
0.5%
11 2
0.5%
12 1
0.3%
13 2
0.5%
14 2
0.5%
15 2
0.5%
16 2
0.5%
17 2
0.5%
ValueCountFrequency (%)
204 2
0.5%
203 2
0.5%
202 2
0.5%
200 2
0.5%
199 2
0.5%
198 2
0.5%
197 2
0.5%
196 2
0.5%
195 2
0.5%
194 2
0.5%

공관코드상세
Text

MISSING 

Distinct183
Distinct (%)49.9%
Missing16
Missing (%)4.2%
Memory size3.1 KiB
2023-12-12T23:10:00.916874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters1468
Distinct characters26
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

Unique4 ?
Unique (%)1.1%

Sample

1st rowAEAE
2nd rowAEAE
3rd rowDBDB
4th rowDBDB
5th rowAFAF
ValueCountFrequency (%)
ilil 4
 
1.1%
atat 3
 
0.8%
chch 3
 
0.8%
caca 3
 
0.8%
phph 2
 
0.5%
cach 2
 
0.5%
phcb 2
 
0.5%
nzau 2
 
0.5%
oeoe 2
 
0.5%
omom 2
 
0.5%
Other values (173) 342
93.2%
2023-12-12T23:10:01.561775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 108
 
7.4%
C 99
 
6.7%
S 97
 
6.6%
N 88
 
6.0%
U 76
 
5.2%
E 76
 
5.2%
G 74
 
5.0%
H 72
 
4.9%
P 72
 
4.9%
T 66
 
4.5%
Other values (16) 640
43.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1468
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 108
 
7.4%
C 99
 
6.7%
S 97
 
6.6%
N 88
 
6.0%
U 76
 
5.2%
E 76
 
5.2%
G 74
 
5.0%
H 72
 
4.9%
P 72
 
4.9%
T 66
 
4.5%
Other values (16) 640
43.6%

Most occurring scripts

ValueCountFrequency (%)
Latin 1468
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 108
 
7.4%
C 99
 
6.7%
S 97
 
6.6%
N 88
 
6.0%
U 76
 
5.2%
E 76
 
5.2%
G 74
 
5.0%
H 72
 
4.9%
P 72
 
4.9%
T 66
 
4.5%
Other values (16) 640
43.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1468
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 108
 
7.4%
C 99
 
6.7%
S 97
 
6.6%
N 88
 
6.0%
U 76
 
5.2%
E 76
 
5.2%
G 74
 
5.0%
H 72
 
4.9%
P 72
 
4.9%
T 66
 
4.5%
Other values (16) 640
43.6%

홈페이지
Text

UNIQUE 

Distinct383
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-12T23:10:01.850420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length41
Mean length43.456919
Min length41

Characters and Unicode

Total characters16644
Distinct characters30
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique383 ?
Unique (%)100.0%

Sample

1st rowhttp://overseas.mofa.go.kr/ae-ar/index.do
2nd rowhttp://overseas.mofa.go.kr/ae-ko/index.do
3rd rowhttp://overseas.mofa.go.kr/ae-en/index.do
4th rowhttp://overseas.mofa.go.kr/ae-dubai-ar/index.do
5th rowhttp://overseas.mofa.go.kr/ae-dubai-ko/index.do
ValueCountFrequency (%)
http://overseas.mofa.go.kr/ae-ar/index.do 1
 
0.3%
http://overseas.mofa.go.kr/pk-karachi-ko/index.do 1
 
0.3%
http://overseas.mofa.go.kr/ph-cebu-en/index.do 1
 
0.3%
http://overseas.mofa.go.kr/ph-cebu-ko/index.do 1
 
0.3%
http://overseas.mofa.go.kr/ph-en/index.do 1
 
0.3%
http://overseas.mofa.go.kr/ph-ko/index.do 1
 
0.3%
http://overseas.mofa.go.kr/pg-ko/index.do 1
 
0.3%
http://overseas.mofa.go.kr/pg-en/index.do 1
 
0.3%
http://overseas.mofa.go.kr/pe-es/index.do 1
 
0.3%
http://overseas.mofa.go.kr/pe-ko/index.do 1
 
0.3%
Other values (373) 373
97.4%
2023-12-12T23:10:02.346383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 1814
 
10.9%
/ 1532
 
9.2%
. 1532
 
9.2%
e 1364
 
8.2%
a 973
 
5.8%
s 894
 
5.4%
r 873
 
5.2%
t 849
 
5.1%
d 823
 
4.9%
k 624
 
3.7%
Other values (20) 5366
32.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 12700
76.3%
Other Punctuation 3447
 
20.7%
Dash Punctuation 497
 
3.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1814
14.3%
e 1364
 
10.7%
a 973
 
7.7%
s 894
 
7.0%
r 873
 
6.9%
t 849
 
6.7%
d 823
 
6.5%
k 624
 
4.9%
n 608
 
4.8%
h 466
 
3.7%
Other values (16) 3412
26.9%
Other Punctuation
ValueCountFrequency (%)
/ 1532
44.4%
. 1532
44.4%
: 383
 
11.1%
Dash Punctuation
ValueCountFrequency (%)
- 497
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12700
76.3%
Common 3944
 
23.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1814
14.3%
e 1364
 
10.7%
a 973
 
7.7%
s 894
 
7.0%
r 873
 
6.9%
t 849
 
6.7%
d 823
 
6.5%
k 624
 
4.9%
n 608
 
4.8%
h 466
 
3.7%
Other values (16) 3412
26.9%
Common
ValueCountFrequency (%)
/ 1532
38.8%
. 1532
38.8%
- 497
 
12.6%
: 383
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16644
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 1814
 
10.9%
/ 1532
 
9.2%
. 1532
 
9.2%
e 1364
 
8.2%
a 973
 
5.8%
s 894
 
5.4%
r 873
 
5.2%
t 849
 
5.1%
d 823
 
4.9%
k 624
 
3.7%
Other values (20) 5366
32.2%

Interactions

2023-12-12T23:09:55.253540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:09:55.052548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:09:55.387927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:09:55.155434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:10:02.452245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
언어구분사이트타입타임존일련번호공관일련번호
언어구분1.0000.5320.3090.310
사이트타입0.5321.0000.1080.074
타임존일련번호0.3090.1081.0000.999
공관일련번호0.3100.0740.9991.000
2023-12-12T23:10:02.550627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사이트타입언어구분
사이트타입1.0000.223
언어구분0.2231.000
2023-12-12T23:10:02.640038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
타임존일련번호공관일련번호언어구분사이트타입
타임존일련번호1.0000.9990.1910.045
공관일련번호0.9991.0000.1910.055
언어구분0.1910.1911.0000.223
사이트타입0.0450.0550.2231.000

Missing values

2023-12-12T23:09:55.563197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:09:55.712842image/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.
2023-12-12T23:09:55.808963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

재외공관 코드재외공관명사이트아이디언어구분사이트타입타임존일련번호타임존코드상세공관일련번호공관코드상세홈페이지
0aeae-ar재외공관(현지어)로컬175Asia/Dubai<NA><NA>http://overseas.mofa.go.kr/ae-ar/index.do
1ae주 아랍에미리트 대한민국 대사관ae-ko재외공관(국문)반응형175Asia/Dubai175AEAEhttp://overseas.mofa.go.kr/ae-ko/index.do
2aeEmbassy of the Republic of Korea to United Arab Emiratesae-en재외공관(영문)반응형175Asia/Dubai175AEAEhttp://overseas.mofa.go.kr/ae-en/index.do
3ae-dubaiae-dubai-ar재외공관(현지어)로컬65Asia/Dubai<NA><NA>http://overseas.mofa.go.kr/ae-dubai-ar/index.do
4ae-dubai주 두바이 대한민국 총영사관ae-dubai-ko재외공관(국문)반응형65Asia/Dubai65DBDBhttp://overseas.mofa.go.kr/ae-dubai-ko/index.do
5ae-dubaiConsulate General of the Republic of Korea in Dubaiae-dubai-en재외공관(영문)반응형65Asia/Dubai65DBDBhttp://overseas.mofa.go.kr/ae-dubai-en/index.do
6afEmbassy of the Republic of Korea in Afghanistanaf-en재외공관(영문)반응형47Asia/Kabul47AFAFhttp://overseas.mofa.go.kr/af-en/index.do
7af주 아프가니스탄 대한민국 대사관af-ko재외공관(현지어)반응형47Asia/Kabul47AFAFhttp://overseas.mofa.go.kr/af-ko/index.do
8ao주 앙골라 대한민국 대사관ao-ko재외공관(국문)반응형160Africa/Luanda160AGAGhttp://overseas.mofa.go.kr/ao-ko/index.do
9aoEmbaixada da Rep blica da Coreia na Rep blica de Angolaao-pt재외공관(현지어)반응형160Africa/Luanda160AGAGhttp://overseas.mofa.go.kr/ao-pt/index.do
재외공관 코드재외공관명사이트아이디언어구분사이트타입타임존일련번호타임존코드상세공관일련번호공관코드상세홈페이지
373vnI S QU N I H N D N QU C T I VI T NAMvn-vi재외공관(현지어)반응형39Asia/Saigon39VNVNhttp://overseas.mofa.go.kr/vn-vi/index.do
374vn-hochiminh주 호치민 대한민국 총영사관vn-hochiminh-ko재외공관(국문)반응형60Asia/Saigon60VNHOhttp://overseas.mofa.go.kr/vn-hochiminh-ko/index.do
375vn-hochiminhT ng L nh s qu n i H n D n Qu c t i Th nh ph H Ch Minhvn-hochiminh-vi재외공관(현지어)반응형60Asia/Saigon60VNHOhttp://overseas.mofa.go.kr/vn-hochiminh-vi/index.do
376yeye-ar재외공관(현지어)로컬177Asia/Aden<NA><NA>http://overseas.mofa.go.kr/ye-ar/index.do
377ye주 예멘 대한민국 대사관ye-ko재외공관(국문)반응형177Asia/Aden177YEMEhttp://overseas.mofa.go.kr/ye-ko/index.do
378yeEmbassy of the Republic of Korea in the Republic of Yemenye-en재외공관(영문)반응형177Asia/Aden177YEMEhttp://overseas.mofa.go.kr/ye-en/index.do
379za주 남아프리카공화국 대한민국 대사관za-ko재외공관(국문)반응형154Africa/Johannesburg154ZAZAhttp://overseas.mofa.go.kr/za-ko/index.do
380zaThe Embassy of the Republic of Korea to the Republic of South Africaza-en재외공관(영문)반응형154Africa/Johannesburg154ZAZAhttp://overseas.mofa.go.kr/za-en/index.do
381zw주 짐바브웨 대한민국 대사관zw-ko재외공관(국문)반응형164Africa/Harare164ZWZWhttp://overseas.mofa.go.kr/zw-ko/index.do
382zwEmbassy of the Republic of Korea in the Republic of Zimbabwezw-en재외공관(영문)반응형164Africa/Harare164ZWZWhttp://overseas.mofa.go.kr/zw-en/index.do