Overview

Dataset statistics

Number of variables21
Number of observations2100
Missing cells6
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory344.7 KiB
Average record size in memory168.1 B

Variable types

Text5
Categorical2
DateTime1
Boolean13

Dataset

Description국제우편 도착예정 교환국 코드 리스트 데이터 입니다. 교환국코드, 기능, 인바운드, 아웃바운드 등 정보가 포함되어 있습니다.
Author과학기술정보통신부 우정사업본부
URLhttps://www.data.go.kr/data/15104524/fileData.do

Reproduction

Analysis started2023-12-12 14:15:48.623673
Analysis finished2023-12-12 14:15:49.024120
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

국제우편처리센터(IMPC) 코드
Text

Distinct2099
Distinct (%)100.0%
Missing1
Missing (%)< 0.1%
Memory size16.5 KiB
2023-12-12T23:15:49.303197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters12594
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

Unique2099 ?
Unique (%)100.0%

Sample

1st rowAEAUHA
2nd rowAEAUHB
3rd rowAEDXBA
4th rowAEDXBB
5th rowAEDXBC
ValueCountFrequency (%)
aeauha 1
 
< 0.1%
nfnlka 1
 
< 0.1%
nenimg 1
 
< 0.1%
nenime 1
 
< 0.1%
nenimb 1
 
< 0.1%
ncnoua 1
 
< 0.1%
nawdhk 1
 
< 0.1%
nawdhb 1
 
< 0.1%
nawdha 1
 
< 0.1%
mzmpme 1
 
< 0.1%
Other values (2089) 2089
99.5%
2023-12-12T23:15:49.853693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 1420
 
11.3%
S 825
 
6.6%
C 763
 
6.1%
B 760
 
6.0%
N 681
 
5.4%
E 614
 
4.9%
U 583
 
4.6%
L 566
 
4.5%
G 564
 
4.5%
D 530
 
4.2%
Other values (16) 5288
42.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 12594
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 1420
 
11.3%
S 825
 
6.6%
C 763
 
6.1%
B 760
 
6.0%
N 681
 
5.4%
E 614
 
4.9%
U 583
 
4.6%
L 566
 
4.5%
G 564
 
4.5%
D 530
 
4.2%
Other values (16) 5288
42.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12594
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 1420
 
11.3%
S 825
 
6.6%
C 763
 
6.1%
B 760
 
6.0%
N 681
 
5.4%
E 614
 
4.9%
U 583
 
4.6%
L 566
 
4.5%
G 564
 
4.5%
D 530
 
4.2%
Other values (16) 5288
42.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12594
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 1420
 
11.3%
S 825
 
6.6%
C 763
 
6.1%
B 760
 
6.0%
N 681
 
5.4%
E 614
 
4.9%
U 583
 
4.6%
L 566
 
4.5%
G 564
 
4.5%
D 530
 
4.2%
Other values (16) 5288
42.0%

IMPC 명칭
Text

Distinct2086
Distinct (%)99.4%
Missing1
Missing (%)< 0.1%
Memory size16.5 KiB
2023-12-12T23:15:50.227862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.7589328
Min length3

Characters and Unicode

Total characters20484
Distinct characters44
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2076 ?
Unique (%)98.9%

Sample

1st rowABU DHABI
2nd rowABU DHABI FR
3rd rowDUBAI
4th rowDUBAI RASID
5th rowDUBAI NZPST
ValueCountFrequency (%)
etoe 183
 
4.3%
ems 126
 
3.0%
et 71
 
1.7%
b 62
 
1.5%
a 59
 
1.4%
c 49
 
1.2%
d 36
 
0.9%
e 35
 
0.8%
y 35
 
0.8%
int 28
 
0.7%
Other values (1672) 3547
83.8%
2023-12-12T23:15:50.768068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 2181
 
10.6%
2132
 
10.4%
E 1629
 
8.0%
S 1173
 
5.7%
O 1168
 
5.7%
I 1138
 
5.6%
N 1117
 
5.5%
T 1035
 
5.1%
R 828
 
4.0%
U 797
 
3.9%
Other values (34) 7286
35.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 17932
87.5%
Space Separator 2132
 
10.4%
Decimal Number 245
 
1.2%
Dash Punctuation 98
 
0.5%
Other Punctuation 73
 
0.4%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 2181
 
12.2%
E 1629
 
9.1%
S 1173
 
6.5%
O 1168
 
6.5%
I 1138
 
6.3%
N 1117
 
6.2%
T 1035
 
5.8%
R 828
 
4.6%
U 797
 
4.4%
L 743
 
4.1%
Other values (16) 6123
34.1%
Decimal Number
ValueCountFrequency (%)
1 67
27.3%
2 52
21.2%
0 30
12.2%
4 23
 
9.4%
3 22
 
9.0%
5 18
 
7.3%
6 11
 
4.5%
7 9
 
3.7%
8 7
 
2.9%
9 6
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 24
32.9%
/ 20
27.4%
' 18
24.7%
, 11
15.1%
Space Separator
ValueCountFrequency (%)
2132
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 17932
87.5%
Common 2552
 
12.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 2181
 
12.2%
E 1629
 
9.1%
S 1173
 
6.5%
O 1168
 
6.5%
I 1138
 
6.3%
N 1117
 
6.2%
T 1035
 
5.8%
R 828
 
4.6%
U 797
 
4.4%
L 743
 
4.1%
Other values (16) 6123
34.1%
Common
ValueCountFrequency (%)
2132
83.5%
- 98
 
3.8%
1 67
 
2.6%
2 52
 
2.0%
0 30
 
1.2%
. 24
 
0.9%
4 23
 
0.9%
3 22
 
0.9%
/ 20
 
0.8%
5 18
 
0.7%
Other values (8) 66
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20484
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 2181
 
10.6%
2132
 
10.4%
E 1629
 
8.0%
S 1173
 
5.7%
O 1168
 
5.7%
I 1138
 
5.6%
N 1117
 
5.5%
T 1035
 
5.1%
R 828
 
4.0%
U 797
 
3.9%
Other values (34) 7286
35.6%

교환국 명칭
Text

Distinct233
Distinct (%)11.1%
Missing1
Missing (%)< 0.1%
Memory size16.5 KiB
2023-12-12T23:15:51.171260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.7756074
Min length3

Characters and Unicode

Total characters20519
Distinct characters58
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)2.7%

Sample

1st rowEmiratesPost
2nd rowLA POSTE, FR
3rd rowEmiratesPost
4th rowEmiratesPost
5th rowNZ POST
ValueCountFrequency (%)
post 748
 
19.9%
usps 212
 
5.6%
china 190
 
5.1%
poste 140
 
3.7%
la 116
 
3.1%
fr 115
 
3.1%
pc 78
 
2.1%
australia 73
 
1.9%
japan 70
 
1.9%
65
 
1.7%
Other values (282) 1948
51.9%
2023-12-12T23:15:51.660712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 1893
 
9.2%
1656
 
8.1%
s 1458
 
7.1%
a 1299
 
6.3%
o 1288
 
6.3%
t 1268
 
6.2%
S 1156
 
5.6%
i 742
 
3.6%
n 741
 
3.6%
O 716
 
3.5%
Other values (48) 8302
40.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9388
45.8%
Uppercase Letter 9264
45.1%
Space Separator 1656
 
8.1%
Other Punctuation 139
 
0.7%
Dash Punctuation 69
 
0.3%
Decimal Number 3
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
P 1893
20.4%
S 1156
12.5%
O 716
 
7.7%
A 660
 
7.1%
T 649
 
7.0%
C 585
 
6.3%
E 563
 
6.1%
R 510
 
5.5%
N 341
 
3.7%
L 334
 
3.6%
Other values (16) 1857
20.0%
Lowercase Letter
ValueCountFrequency (%)
s 1458
15.5%
a 1299
13.8%
o 1288
13.7%
t 1268
13.5%
i 742
7.9%
n 741
7.9%
e 395
 
4.2%
h 311
 
3.3%
l 305
 
3.2%
r 294
 
3.1%
Other values (16) 1287
13.7%
Other Punctuation
ValueCountFrequency (%)
, 120
86.3%
. 17
 
12.2%
" 2
 
1.4%
Space Separator
ValueCountFrequency (%)
1656
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%
Decimal Number
ValueCountFrequency (%)
0 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 18652
90.9%
Common 1867
 
9.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
P 1893
 
10.1%
s 1458
 
7.8%
a 1299
 
7.0%
o 1288
 
6.9%
t 1268
 
6.8%
S 1156
 
6.2%
i 742
 
4.0%
n 741
 
4.0%
O 716
 
3.8%
A 660
 
3.5%
Other values (42) 7431
39.8%
Common
ValueCountFrequency (%)
1656
88.7%
, 120
 
6.4%
- 69
 
3.7%
. 17
 
0.9%
0 3
 
0.2%
" 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20519
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
P 1893
 
9.2%
1656
 
8.1%
s 1458
 
7.1%
a 1299
 
6.3%
o 1288
 
6.3%
t 1268
 
6.2%
S 1156
 
5.6%
i 742
 
3.6%
n 741
 
3.6%
O 716
 
3.5%
Other values (48) 8302
40.5%

교환국코드
Text

Distinct233
Distinct (%)11.1%
Missing1
Missing (%)< 0.1%
Memory size16.5 KiB
2023-12-12T23:15:52.015251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters6297
Distinct characters35
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

Unique57 ?
Unique (%)2.7%

Sample

1st rowAEA
2nd rowFRA
3rd rowAEA
4th rowAEA
5th rowNZA
ValueCountFrequency (%)
usa 212
 
10.1%
cna 190
 
9.1%
fra 113
 
5.4%
aua 73
 
3.5%
jpa 70
 
3.3%
sea 61
 
2.9%
nla 56
 
2.7%
dea 55
 
2.6%
gba 42
 
2.0%
rua 39
 
1.9%
Other values (223) 1188
56.6%
2023-12-12T23:15:52.559367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 2308
36.7%
U 393
 
6.2%
S 380
 
6.0%
N 356
 
5.7%
C 354
 
5.6%
E 314
 
5.0%
R 220
 
3.5%
G 181
 
2.9%
F 169
 
2.7%
B 160
 
2.5%
Other values (25) 1462
23.2%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 6269
99.6%
Decimal Number 28
 
0.4%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 2308
36.8%
U 393
 
6.3%
S 380
 
6.1%
N 356
 
5.7%
C 354
 
5.6%
E 314
 
5.0%
R 220
 
3.5%
G 181
 
2.9%
F 169
 
2.7%
B 160
 
2.6%
Other values (16) 1434
22.9%
Decimal Number
ValueCountFrequency (%)
4 12
42.9%
3 5
17.9%
6 3
 
10.7%
5 2
 
7.1%
9 2
 
7.1%
8 1
 
3.6%
7 1
 
3.6%
0 1
 
3.6%
2 1
 
3.6%

Most occurring scripts

ValueCountFrequency (%)
Latin 6269
99.6%
Common 28
 
0.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 2308
36.8%
U 393
 
6.3%
S 380
 
6.1%
N 356
 
5.7%
C 354
 
5.6%
E 314
 
5.0%
R 220
 
3.5%
G 181
 
2.9%
F 169
 
2.7%
B 160
 
2.6%
Other values (16) 1434
22.9%
Common
ValueCountFrequency (%)
4 12
42.9%
3 5
17.9%
6 3
 
10.7%
5 2
 
7.1%
9 2
 
7.1%
8 1
 
3.6%
7 1
 
3.6%
0 1
 
3.6%
2 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6297
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 2308
36.7%
U 393
 
6.2%
S 380
 
6.0%
N 356
 
5.7%
C 354
 
5.6%
E 314
 
5.0%
R 220
 
3.5%
G 181
 
2.9%
F 169
 
2.7%
B 160
 
2.5%
Other values (25) 1462
23.2%

구분식별코드
Text

Distinct233
Distinct (%)11.1%
Missing1
Missing (%)< 0.1%
Memory size16.5 KiB
2023-12-12T23:15:52.932131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length6.011434
Min length6

Characters and Unicode

Total characters12618
Distinct characters34
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

Unique57 ?
Unique (%)2.7%

Sample

1st rowJ1CAEA
2nd rowJ1CFRA
3rd rowJ1CAEA
4th rowJ1CAEA
5th rowJ1CNZA
ValueCountFrequency (%)
j1cusa 212
 
10.1%
j1ccna 190
 
9.1%
j1cfra 113
 
5.4%
j1caua 73
 
3.5%
j1cjpa 70
 
3.3%
j1csea 61
 
2.9%
j1cnla 56
 
2.7%
j1cdea 55
 
2.6%
j1cgba 42
 
2.0%
j1crua 39
 
1.9%
Other values (223) 1188
56.6%
2023-12-12T23:15:53.478094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 2453
19.4%
A 2308
18.3%
J 2222
17.6%
1 2091
16.6%
U 393
 
3.1%
S 380
 
3.0%
N 357
 
2.8%
E 315
 
2.5%
R 220
 
1.7%
G 181
 
1.4%
Other values (24) 1698
13.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 10471
83.0%
Decimal Number 2147
 
17.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 2453
23.4%
A 2308
22.0%
J 2222
21.2%
U 393
 
3.8%
S 380
 
3.6%
N 357
 
3.4%
E 315
 
3.0%
R 220
 
2.1%
G 181
 
1.7%
F 169
 
1.6%
Other values (16) 1473
14.1%
Decimal Number
ValueCountFrequency (%)
1 2091
97.4%
0 46
 
2.1%
3 4
 
0.2%
4 2
 
0.1%
6 1
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
5 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Latin 10471
83.0%
Common 2147
 
17.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 2453
23.4%
A 2308
22.0%
J 2222
21.2%
U 393
 
3.8%
S 380
 
3.6%
N 357
 
3.4%
E 315
 
3.0%
R 220
 
2.1%
G 181
 
1.7%
F 169
 
1.6%
Other values (16) 1473
14.1%
Common
ValueCountFrequency (%)
1 2091
97.4%
0 46
 
2.1%
3 4
 
0.2%
4 2
 
0.1%
6 1
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
5 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12618
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 2453
19.4%
A 2308
18.3%
J 2222
17.6%
1 2091
16.6%
U 393
 
3.1%
S 380
 
3.0%
N 357
 
2.8%
E 315
 
2.5%
R 220
 
1.7%
G 181
 
1.4%
Other values (24) 1698
13.5%

기능
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
교환, 우편
1275 
교환
717 
우편
 
100
기타
 
7
<NA>
 
1

Length

Max length6
Median length6
Mean length4.4295238
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row교환, 우편
2nd row교환
3rd row교환, 우편
4th row우편
5th row교환

Common Values

ValueCountFrequency (%)
교환, 우편 1275
60.7%
교환 717
34.1%
우편 100
 
4.8%
기타 7
 
0.3%
<NA> 1
 
< 0.1%

Length

2023-12-12T23:15:53.667709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:15:53.802768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교환 1992
59.0%
우편 1375
40.7%
기타 7
 
0.2%
na 1
 
< 0.1%

개국일
Date

Distinct410
Distinct (%)19.5%
Missing1
Missing (%)< 0.1%
Memory size16.5 KiB
Minimum1980-01-01 00:00:00
Maximum2021-11-01 00:00:00
2023-12-12T23:15:53.952662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:15:54.125979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인바운드(항공우편)
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
True
1410 
False
690 
ValueCountFrequency (%)
True 1410
67.1%
False 690
32.9%
2023-12-12T23:15:54.264378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

인바운드(SAL)
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
False
1156 
True
944 
ValueCountFrequency (%)
False 1156
55.0%
True 944
45.0%
2023-12-12T23:15:54.356429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

인바운드(선박우편)
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
False
1125 
True
975 
ValueCountFrequency (%)
False 1125
53.6%
True 975
46.4%
2023-12-12T23:15:54.445554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

아웃바운드(항공우편)
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
True
1730 
False
370 
ValueCountFrequency (%)
True 1730
82.4%
False 370
 
17.6%
2023-12-12T23:15:54.535758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

아웃바운드(SAL)
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
True
1216 
False
884 
ValueCountFrequency (%)
True 1216
57.9%
False 884
42.1%
2023-12-12T23:15:54.621808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

아웃바운드(선박우편)
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
True
1194 
False
906 
ValueCountFrequency (%)
True 1194
56.9%
False 906
43.1%
2023-12-12T23:15:54.731674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

인바운드(일반편지)
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
True
1181 
False
919 
ValueCountFrequency (%)
True 1181
56.2%
False 919
43.8%
2023-12-12T23:15:54.822073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

인바운드(일반소포)
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
True
1073 
False
1027 
ValueCountFrequency (%)
True 1073
51.1%
False 1027
48.9%
2023-12-12T23:15:54.924957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

인바운드(EMS)
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
False
1256 
True
844 
ValueCountFrequency (%)
False 1256
59.8%
True 844
40.2%
2023-12-12T23:15:55.023518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

아웃바운드(일반편지)
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
True
1576 
False
524 
ValueCountFrequency (%)
True 1576
75.0%
False 524
 
25.0%
2023-12-12T23:15:55.121449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

아웃바운드(일반소포)
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
True
1361 
False
739 
ValueCountFrequency (%)
True 1361
64.8%
False 739
35.2%
2023-12-12T23:15:55.225050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

아웃바운드(EMS)
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
False
1086 
True
1014 
ValueCountFrequency (%)
False 1086
51.7%
True 1014
48.3%
2023-12-12T23:15:55.325997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

특수취급
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.5 KiB
N
1671 
치외법권
275 
군사우편
 
154

Length

Max length4
Median length1
Mean length1.6128571
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd row군사우편
3rd rowN
4th rowN
5th row군사우편

Common Values

ValueCountFrequency (%)
N 1671
79.6%
치외법권 275
 
13.1%
군사우편 154
 
7.3%

Length

2023-12-12T23:15:55.454010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:15:55.562514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 1671
79.6%
치외법권 275
 
13.1%
군사우편 154
 
7.3%

쌍무협정
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
False
1384 
True
716 
ValueCountFrequency (%)
False 1384
65.9%
True 716
34.1%
2023-12-12T23:15:55.661752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

국제우편처리센터(IMPC) 코드IMPC 명칭교환국 명칭교환국코드구분식별코드기능개국일인바운드(항공우편)인바운드(SAL)인바운드(선박우편)아웃바운드(항공우편)아웃바운드(SAL)아웃바운드(선박우편)인바운드(일반편지)인바운드(일반소포)인바운드(EMS)아웃바운드(일반편지)아웃바운드(일반소포)아웃바운드(EMS)특수취급쌍무협정
0AEAUHAABU DHABIEmiratesPostAEAJ1CAEA교환, 우편1999-01-10YYYYYYYYYYYYNN
1AEAUHBABU DHABI FRLA POSTE, FRFRAJ1CFRA교환2018-11-01YNNYNNYYNYYN군사우편N
2AEDXBADUBAIEmiratesPostAEAJ1CAEA교환, 우편1999-10-01YYYYYYYYYYYYNN
3AEDXBBDUBAI RASIDEmiratesPostAEAJ1CAEA우편1999-10-01NNYNNNYYNNNNNN
4AEDXBCDUBAI NZPSTNZ POSTNZAJ1CNZA교환2003-05-12YNNYNNYNNYNN군사우편N
5AEDXBDDUBAI TRANSEmiratesPostAEAJ1CAEA교환, 우편2004-03-01YYYYYYYYYYYYNN
6AEDXBEDXB-SOMALIAEmiratesPostAEAJ1CAEA교환, 우편2013-10-01YYNYYNYNNYNNNN
7AEDXBFDUBAI FEmiratesPostAEAJ1CAEA교환2018-07-15NNNYYNNNNYYYNN
8AEDXBIDUBAI I SPEmiratesPostAEAJ1CAEA교환, 우편2021-03-01YYYYYYYYYYYYNY
9AFBAGABAGRAM NZPSTNZ POSTNZAJ1CNZA교환2003-08-25YNNYNNYYNYYN군사우편N
국제우편처리센터(IMPC) 코드IMPC 명칭교환국 명칭교환국코드구분식별코드기능개국일인바운드(항공우편)인바운드(SAL)인바운드(선박우편)아웃바운드(항공우편)아웃바운드(SAL)아웃바운드(선박우편)인바운드(일반편지)인바운드(일반소포)인바운드(EMS)아웃바운드(일반편지)아웃바운드(일반소포)아웃바운드(EMS)특수취급쌍무협정
2090ZMLUMALUMUMBA BAGZambia PostZMAJ1CZMA교환2018-10-01NYYYYYNNNNNNNN
2091ZMLUNALUSAKA OEZambia PostZMAJ1CZMA교환2020-03-01YYNYYNYYYYYYNN
2092ZMLUNBLUSAKA APTZambia PostZMAJ1CZMA우편2018-10-01YYNYYNYYYYYYNN
2093ZMNLAANDOLA AIRZambia PostZMAJ1CZMA교환2014-10-01YYNYYNYNNYNNNN
2094ZMQKEAKABWE S'FACEZambia PostZMAJ1CZMA교환, 우편1999-10-01NNYNNYYNNYNNNN
2095ZWBUQABULAWAYOZimbabwePostZWAJ1CZWA교환, 우편2007-01-01YYYYYYYYYYYYNN
2096ZWHREAHARARE CSOZimbabwePostZWAJ1CZWA교환, 우편2007-01-01YYYYYYYYYYYYNN
2097ZZJRSBAFPO JERUSALAustralia PCAUAJ1CAUA교환, 우편2001-02-01YYYNNNYYYNNN군사우편N
2098ZZJRSCJRS NZFORCESNZ POSTNZAJ1CNZA교환2009-07-01YNNYNNYYNYYN군사우편N
2099<NA><NA><NA><NA><NA><NA><NA>NNNNNNNNNNNNNN