Overview

Dataset statistics

Number of variables54
Number of observations1393
Missing cells63626
Missing cells (%)84.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory587.8 KiB
Average record size in memory432.1 B

Variable types

Text37
Categorical1
Unsupported16

Dataset

Description전국 항구별로 선용품 무역통계를 산출한 자료입니다.2015년 1월 부터 2024년 3월까지의 월별 통계자료입니다.(금액단위: US달러)다만, 2018년 1월부터 선용품 통계방식이 변경됨에 따라 그 이전과 이후의 통계양식이 다름에 주의하십시오.환급대상물품에 관한 통계는 별도의 탭으로 분리하여 정리하였습니다.
Author관세청
URLhttps://www.data.go.kr/data/15064035/fileData.do

Alerts

Unnamed: 15 has constant value ""Constant
Unnamed: 17 has constant value ""Constant
Unnamed: 19 has constant value ""Constant
Unnamed: 21 has constant value ""Constant
Unnamed: 23 has constant value ""Constant
Unnamed: 25 has constant value ""Constant
Unnamed: 27 has constant value ""Constant
Unnamed: 29 has constant value ""Constant
Unnamed: 31 has constant value ""Constant
Unnamed: 33 has constant value ""Constant
Unnamed: 35 has constant value ""Constant
Unnamed: 37 has constant value ""Constant
Unnamed: 39 has constant value ""Constant
Unnamed: 41 has constant value ""Constant
Unnamed: 43 has constant value ""Constant
Unnamed: 45 has constant value ""Constant
Unnamed: 47 has constant value ""Constant
Unnamed: 49 has constant value ""Constant
1월 has 1143 (82.1%) missing valuesMissing
Unnamed: 3 has 1144 (82.1%) missing valuesMissing
Unnamed: 4 has 1104 (79.3%) missing valuesMissing
Unnamed: 5 has 1105 (79.3%) missing valuesMissing
2월 has 1156 (83.0%) missing valuesMissing
Unnamed: 7 has 1157 (83.1%) missing valuesMissing
Unnamed: 8 has 1108 (79.5%) missing valuesMissing
Unnamed: 9 has 1109 (79.6%) missing valuesMissing
3월 has 1148 (82.4%) missing valuesMissing
Unnamed: 11 has 1149 (82.5%) missing valuesMissing
Unnamed: 12 has 1102 (79.1%) missing valuesMissing
Unnamed: 13 has 1103 (79.2%) missing valuesMissing
4월 has 1391 (99.9%) missing valuesMissing
Unnamed: 15 has 1392 (99.9%) missing valuesMissing
Unnamed: 16 has 1391 (99.9%) missing valuesMissing
Unnamed: 17 has 1392 (99.9%) missing valuesMissing
5월 has 1391 (99.9%) missing valuesMissing
Unnamed: 19 has 1392 (99.9%) missing valuesMissing
Unnamed: 20 has 1391 (99.9%) missing valuesMissing
Unnamed: 21 has 1392 (99.9%) missing valuesMissing
6월 has 1391 (99.9%) missing valuesMissing
Unnamed: 23 has 1392 (99.9%) missing valuesMissing
Unnamed: 24 has 1391 (99.9%) missing valuesMissing
Unnamed: 25 has 1392 (99.9%) missing valuesMissing
7월 has 1391 (99.9%) missing valuesMissing
Unnamed: 27 has 1392 (99.9%) missing valuesMissing
Unnamed: 28 has 1391 (99.9%) missing valuesMissing
Unnamed: 29 has 1392 (99.9%) missing valuesMissing
8월 has 1391 (99.9%) missing valuesMissing
Unnamed: 31 has 1392 (99.9%) missing valuesMissing
Unnamed: 32 has 1391 (99.9%) missing valuesMissing
Unnamed: 33 has 1392 (99.9%) missing valuesMissing
9월 has 1391 (99.9%) missing valuesMissing
Unnamed: 35 has 1392 (99.9%) missing valuesMissing
Unnamed: 36 has 1391 (99.9%) missing valuesMissing
Unnamed: 37 has 1392 (99.9%) missing valuesMissing
10월 has 1391 (99.9%) missing valuesMissing
Unnamed: 39 has 1392 (99.9%) missing valuesMissing
Unnamed: 40 has 1391 (99.9%) missing valuesMissing
Unnamed: 41 has 1392 (99.9%) missing valuesMissing
11월 has 1391 (99.9%) missing valuesMissing
Unnamed: 43 has 1392 (99.9%) missing valuesMissing
Unnamed: 44 has 1391 (99.9%) missing valuesMissing
Unnamed: 45 has 1392 (99.9%) missing valuesMissing
12월 has 1391 (99.9%) missing valuesMissing
Unnamed: 47 has 1392 (99.9%) missing valuesMissing
Unnamed: 48 has 1391 (99.9%) missing valuesMissing
Unnamed: 49 has 1392 (99.9%) missing valuesMissing
1월 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
2월 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 7 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 8 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 9 is an unsupported type, check if it needs cleaning or further analysisUnsupported
3월 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 11 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 12 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 13 is an unsupported type, check if it needs cleaning or further analysisUnsupported
연간 합계 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 51 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 52 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 53 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-21 01:29:20.255771
Analysis finished2024-04-21 01:29:21.361803
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

항구
Text

Distinct107
Distinct (%)7.7%
Missing2
Missing (%)0.1%
Memory size11.0 KiB
2024-04-21T10:29:21.533797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length18
Mean length19.046729
Min length17

Characters and Unicode

Total characters26494
Distinct characters154
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

Unique0 ?
Unique (%)0.0%

Sample

1st row애월 _x000D_(KRAWL)
2nd row애월 _x000D_(KRAWL)
3rd row애월 _x000D_(KRAWL)
4th row애월 _x000D_(KRAWL)
5th row애월 _x000D_(KRAWL)
ValueCountFrequency (%)
apt 39
 
1.3%
삼천포항 26
 
0.9%
고현항 26
 
0.9%
완도항 26
 
0.9%
온산항 26
 
0.9%
옥포항 26
 
0.9%
장승포항 26
 
0.9%
장항항 26
 
0.9%
대산항 26
 
0.9%
평택항 26
 
0.9%
Other values (199) 2626
90.6%
2024-04-21T10:29:21.932074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4199
15.8%
_ 2782
 
10.5%
D 1690
 
6.4%
K 1664
 
6.3%
( 1430
 
5.4%
R 1430
 
5.4%
) 1430
 
5.4%
1391
 
5.3%
x 1391
 
5.3%
871
 
3.3%
Other values (144) 8216
31.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 8541
32.2%
Decimal Number 4251
16.0%
Other Letter 3757
14.2%
Connector Punctuation 2782
 
10.5%
Lowercase Letter 2782
 
10.5%
Open Punctuation 1430
 
5.4%
Close Punctuation 1430
 
5.4%
Control 1391
 
5.3%
Space Separator 117
 
0.4%
Other Punctuation 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
871
23.2%
221
 
5.9%
208
 
5.5%
130
 
3.5%
91
 
2.4%
65
 
1.7%
65
 
1.7%
65
 
1.7%
65
 
1.7%
52
 
1.4%
Other values (88) 1924
51.2%
Uppercase Letter
ValueCountFrequency (%)
D 1690
19.8%
K 1664
19.5%
R 1430
16.7%
S 520
 
6.1%
H 507
 
5.9%
O 273
 
3.2%
G 260
 
3.0%
P 260
 
3.0%
N 260
 
3.0%
M 195
 
2.3%
Other values (14) 1482
17.4%
Lowercase Letter
ValueCountFrequency (%)
x 1391
50.0%
a 195
 
7.0%
o 169
 
6.1%
n 156
 
5.6%
e 130
 
4.7%
g 117
 
4.2%
p 104
 
3.7%
u 91
 
3.3%
i 78
 
2.8%
t 52
 
1.9%
Other values (13) 299
 
10.7%
Decimal Number
ValueCountFrequency (%)
0 4199
98.8%
3 26
 
0.6%
2 26
 
0.6%
Connector Punctuation
ValueCountFrequency (%)
_ 2782
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1430
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1430
100.0%
Control
ValueCountFrequency (%)
1391
100.0%
Space Separator
ValueCountFrequency (%)
117
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11414
43.1%
Latin 11323
42.7%
Hangul 3757
 
14.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
871
23.2%
221
 
5.9%
208
 
5.5%
130
 
3.5%
91
 
2.4%
65
 
1.7%
65
 
1.7%
65
 
1.7%
65
 
1.7%
52
 
1.4%
Other values (88) 1924
51.2%
Latin
ValueCountFrequency (%)
D 1690
14.9%
K 1664
14.7%
R 1430
12.6%
x 1391
12.3%
S 520
 
4.6%
H 507
 
4.5%
O 273
 
2.4%
G 260
 
2.3%
P 260
 
2.3%
N 260
 
2.3%
Other values (37) 3068
27.1%
Common
ValueCountFrequency (%)
0 4199
36.8%
_ 2782
24.4%
( 1430
 
12.5%
) 1430
 
12.5%
1391
 
12.2%
117
 
1.0%
3 26
 
0.2%
2 26
 
0.2%
/ 13
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22737
85.8%
Hangul 3757
 
14.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4199
18.5%
_ 2782
12.2%
D 1690
 
7.4%
K 1664
 
7.3%
( 1430
 
6.3%
R 1430
 
6.3%
) 1430
 
6.3%
1391
 
6.1%
x 1391
 
6.1%
S 520
 
2.3%
Other values (46) 4810
21.2%
Hangul
ValueCountFrequency (%)
871
23.2%
221
 
5.9%
208
 
5.5%
130
 
3.5%
91
 
2.4%
65
 
1.7%
65
 
1.7%
65
 
1.7%
65
 
1.7%
52
 
1.4%
Other values (88) 1924
51.2%
Distinct14
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size11.0 KiB
주류
107 
담배
107 
육류
107 
식품류
107 
전자제품
107 
Other values (9)
858 

Length

Max length6
Median length5
Mean length3.2318737
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row주류
4th row담배
5th row육류

Common Values

ValueCountFrequency (%)
주류 107
 
7.7%
담배 107
 
7.7%
육류 107
 
7.7%
식품류 107
 
7.7%
전자제품 107
 
7.7%
조리기구 107
 
7.7%
선박부품 107
 
7.7%
악세사리 107
 
7.7%
유류 107
 
7.7%
조건부선용품 107
 
7.7%
Other values (4) 323
23.2%

Length

2024-04-21T10:29:22.068173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주류 107
 
7.7%
담배 107
 
7.7%
육류 107
 
7.7%
식품류 107
 
7.7%
전자제품 107
 
7.7%
조리기구 107
 
7.7%
선박부품 107
 
7.7%
악세사리 107
 
7.7%
유류 107
 
7.7%
조건부선용품 107
 
7.7%
Other values (4) 323
23.2%

1월
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1143
Missing (%)82.1%
Memory size11.0 KiB

Unnamed: 3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1144
Missing (%)82.1%
Memory size11.0 KiB

Unnamed: 4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1104
Missing (%)79.3%
Memory size11.0 KiB

Unnamed: 5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1105
Missing (%)79.3%
Memory size11.0 KiB

2월
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1156
Missing (%)83.0%
Memory size11.0 KiB

Unnamed: 7
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1157
Missing (%)83.1%
Memory size11.0 KiB

Unnamed: 8
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1108
Missing (%)79.5%
Memory size11.0 KiB

Unnamed: 9
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1109
Missing (%)79.6%
Memory size11.0 KiB

3월
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1148
Missing (%)82.4%
Memory size11.0 KiB

Unnamed: 11
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1149
Missing (%)82.5%
Memory size11.0 KiB

Unnamed: 12
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1102
Missing (%)79.1%
Memory size11.0 KiB

Unnamed: 13
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1103
Missing (%)79.2%
Memory size11.0 KiB

4월
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing1391
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:22.214102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3.5
Mean length3.5
Min length2

Characters and Unicode

Total characters7
Distinct characters7
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

Unique2 ?
Unique (%)100.0%

Sample

1st row내국선용품
2nd row건수
ValueCountFrequency (%)
내국선용품 1
50.0%
건수 1
50.0%
2024-04-21T10:29:22.459082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Unnamed: 15
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1392
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:22.556265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
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

Unique1 ?
Unique (%)100.0%

Sample

1st row금액
ValueCountFrequency (%)
금액 1
100.0%
2024-04-21T10:29:22.760709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Unnamed: 16
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing1391
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:22.905354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3.5
Mean length3.5
Min length2

Characters and Unicode

Total characters7
Distinct characters7
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

Unique2 ?
Unique (%)100.0%

Sample

1st row외국선용품
2nd row건수
ValueCountFrequency (%)
외국선용품 1
50.0%
건수 1
50.0%
2024-04-21T10:29:23.182425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Unnamed: 17
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1392
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:23.298846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
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

Unique1 ?
Unique (%)100.0%

Sample

1st row금액
ValueCountFrequency (%)
금액 1
100.0%
2024-04-21T10:29:23.518268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

5월
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing1391
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:23.652799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3.5
Mean length3.5
Min length2

Characters and Unicode

Total characters7
Distinct characters7
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

Unique2 ?
Unique (%)100.0%

Sample

1st row내국선용품
2nd row건수
ValueCountFrequency (%)
내국선용품 1
50.0%
건수 1
50.0%
2024-04-21T10:29:23.931233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Unnamed: 19
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1392
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:24.035323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
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

Unique1 ?
Unique (%)100.0%

Sample

1st row금액
ValueCountFrequency (%)
금액 1
100.0%
2024-04-21T10:29:24.285209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Unnamed: 20
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing1391
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:24.434052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3.5
Mean length3.5
Min length2

Characters and Unicode

Total characters7
Distinct characters7
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

Unique2 ?
Unique (%)100.0%

Sample

1st row외국선용품
2nd row건수
ValueCountFrequency (%)
외국선용품 1
50.0%
건수 1
50.0%
2024-04-21T10:29:24.745118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Unnamed: 21
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1392
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:24.838797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
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

Unique1 ?
Unique (%)100.0%

Sample

1st row금액
ValueCountFrequency (%)
금액 1
100.0%
2024-04-21T10:29:25.043114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

6월
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing1391
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:25.172112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3.5
Mean length3.5
Min length2

Characters and Unicode

Total characters7
Distinct characters7
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

Unique2 ?
Unique (%)100.0%

Sample

1st row내국선용품
2nd row건수
ValueCountFrequency (%)
내국선용품 1
50.0%
건수 1
50.0%
2024-04-21T10:29:25.446115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Unnamed: 23
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1392
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:25.536647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
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

Unique1 ?
Unique (%)100.0%

Sample

1st row금액
ValueCountFrequency (%)
금액 1
100.0%
2024-04-21T10:29:25.734720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Unnamed: 24
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing1391
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:25.867644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3.5
Mean length3.5
Min length2

Characters and Unicode

Total characters7
Distinct characters7
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

Unique2 ?
Unique (%)100.0%

Sample

1st row외국선용품
2nd row건수
ValueCountFrequency (%)
외국선용품 1
50.0%
건수 1
50.0%
2024-04-21T10:29:26.095472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Unnamed: 25
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1392
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:26.178947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
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

Unique1 ?
Unique (%)100.0%

Sample

1st row금액
ValueCountFrequency (%)
금액 1
100.0%
2024-04-21T10:29:26.427863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

7월
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing1391
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:26.575512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3.5
Mean length3.5
Min length2

Characters and Unicode

Total characters7
Distinct characters7
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

Unique2 ?
Unique (%)100.0%

Sample

1st row내국선용품
2nd row건수
ValueCountFrequency (%)
내국선용품 1
50.0%
건수 1
50.0%
2024-04-21T10:29:26.857392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Unnamed: 27
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1392
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:26.948635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
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

Unique1 ?
Unique (%)100.0%

Sample

1st row금액
ValueCountFrequency (%)
금액 1
100.0%
2024-04-21T10:29:27.170448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Unnamed: 28
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing1391
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:27.309160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3.5
Mean length3.5
Min length2

Characters and Unicode

Total characters7
Distinct characters7
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

Unique2 ?
Unique (%)100.0%

Sample

1st row외국선용품
2nd row건수
ValueCountFrequency (%)
외국선용품 1
50.0%
건수 1
50.0%
2024-04-21T10:29:27.571474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Unnamed: 29
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1392
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:27.668374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
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

Unique1 ?
Unique (%)100.0%

Sample

1st row금액
ValueCountFrequency (%)
금액 1
100.0%
2024-04-21T10:29:27.866677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

8월
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing1391
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:27.997232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3.5
Mean length3.5
Min length2

Characters and Unicode

Total characters7
Distinct characters7
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

Unique2 ?
Unique (%)100.0%

Sample

1st row내국선용품
2nd row건수
ValueCountFrequency (%)
내국선용품 1
50.0%
건수 1
50.0%
2024-04-21T10:29:28.280616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Unnamed: 31
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1392
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:28.365700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
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

Unique1 ?
Unique (%)100.0%

Sample

1st row금액
ValueCountFrequency (%)
금액 1
100.0%
2024-04-21T10:29:28.563176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Unnamed: 32
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing1391
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:28.696062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3.5
Mean length3.5
Min length2

Characters and Unicode

Total characters7
Distinct characters7
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

Unique2 ?
Unique (%)100.0%

Sample

1st row외국선용품
2nd row건수
ValueCountFrequency (%)
외국선용품 1
50.0%
건수 1
50.0%
2024-04-21T10:29:28.949428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Unnamed: 33
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1392
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:29.042176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
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

Unique1 ?
Unique (%)100.0%

Sample

1st row금액
ValueCountFrequency (%)
금액 1
100.0%
2024-04-21T10:29:29.257113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

9월
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing1391
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:29.630257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3.5
Mean length3.5
Min length2

Characters and Unicode

Total characters7
Distinct characters7
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

Unique2 ?
Unique (%)100.0%

Sample

1st row내국선용품
2nd row건수
ValueCountFrequency (%)
내국선용품 1
50.0%
건수 1
50.0%
2024-04-21T10:29:29.885508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Unnamed: 35
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1392
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:29.977021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
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

Unique1 ?
Unique (%)100.0%

Sample

1st row금액
ValueCountFrequency (%)
금액 1
100.0%
2024-04-21T10:29:30.169761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Unnamed: 36
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing1391
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:30.293628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3.5
Mean length3.5
Min length2

Characters and Unicode

Total characters7
Distinct characters7
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

Unique2 ?
Unique (%)100.0%

Sample

1st row외국선용품
2nd row건수
ValueCountFrequency (%)
외국선용품 1
50.0%
건수 1
50.0%
2024-04-21T10:29:30.561828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Unnamed: 37
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1392
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:30.653664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
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

Unique1 ?
Unique (%)100.0%

Sample

1st row금액
ValueCountFrequency (%)
금액 1
100.0%
2024-04-21T10:29:30.869036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

10월
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing1391
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:31.003138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3.5
Mean length3.5
Min length2

Characters and Unicode

Total characters7
Distinct characters7
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

Unique2 ?
Unique (%)100.0%

Sample

1st row내국선용품
2nd row건수
ValueCountFrequency (%)
내국선용품 1
50.0%
건수 1
50.0%
2024-04-21T10:29:31.323193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Unnamed: 39
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1392
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:31.423654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
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

Unique1 ?
Unique (%)100.0%

Sample

1st row금액
ValueCountFrequency (%)
금액 1
100.0%
2024-04-21T10:29:31.665486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Unnamed: 40
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing1391
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:31.813253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3.5
Mean length3.5
Min length2

Characters and Unicode

Total characters7
Distinct characters7
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

Unique2 ?
Unique (%)100.0%

Sample

1st row외국선용품
2nd row건수
ValueCountFrequency (%)
외국선용품 1
50.0%
건수 1
50.0%
2024-04-21T10:29:32.088140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Unnamed: 41
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1392
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:32.194188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
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

Unique1 ?
Unique (%)100.0%

Sample

1st row금액
ValueCountFrequency (%)
금액 1
100.0%
2024-04-21T10:29:32.396398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

11월
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing1391
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:32.525676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3.5
Mean length3.5
Min length2

Characters and Unicode

Total characters7
Distinct characters7
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

Unique2 ?
Unique (%)100.0%

Sample

1st row내국선용품
2nd row건수
ValueCountFrequency (%)
내국선용품 1
50.0%
건수 1
50.0%
2024-04-21T10:29:32.780997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Unnamed: 43
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1392
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:32.868515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
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

Unique1 ?
Unique (%)100.0%

Sample

1st row금액
ValueCountFrequency (%)
금액 1
100.0%
2024-04-21T10:29:33.079432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Unnamed: 44
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing1391
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:33.204265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3.5
Mean length3.5
Min length2

Characters and Unicode

Total characters7
Distinct characters7
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

Unique2 ?
Unique (%)100.0%

Sample

1st row외국선용품
2nd row건수
ValueCountFrequency (%)
외국선용품 1
50.0%
건수 1
50.0%
2024-04-21T10:29:33.465634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Unnamed: 45
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1392
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:33.557126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
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

Unique1 ?
Unique (%)100.0%

Sample

1st row금액
ValueCountFrequency (%)
금액 1
100.0%
2024-04-21T10:29:33.752171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

12월
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing1391
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:33.887614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3.5
Mean length3.5
Min length2

Characters and Unicode

Total characters7
Distinct characters7
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

Unique2 ?
Unique (%)100.0%

Sample

1st row내국선용품
2nd row건수
ValueCountFrequency (%)
내국선용품 1
50.0%
건수 1
50.0%
2024-04-21T10:29:34.147088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Unnamed: 47
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1392
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:34.238115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
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

Unique1 ?
Unique (%)100.0%

Sample

1st row금액
ValueCountFrequency (%)
금액 1
100.0%
2024-04-21T10:29:34.462283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Unnamed: 48
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing1391
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:34.591249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3.5
Mean length3.5
Min length2

Characters and Unicode

Total characters7
Distinct characters7
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

Unique2 ?
Unique (%)100.0%

Sample

1st row외국선용품
2nd row건수
ValueCountFrequency (%)
외국선용품 1
50.0%
건수 1
50.0%
2024-04-21T10:29:34.831537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Unnamed: 49
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1392
Missing (%)99.9%
Memory size11.0 KiB
2024-04-21T10:29:34.919930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
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

Unique1 ?
Unique (%)100.0%

Sample

1st row금액
ValueCountFrequency (%)
금액 1
100.0%
2024-04-21T10:29:35.122598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

연간 합계
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size11.0 KiB

Unnamed: 51
Unsupported

REJECTED  UNSUPPORTED 

Missing1
Missing (%)0.1%
Memory size11.0 KiB

Unnamed: 52
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size11.0 KiB

Unnamed: 53
Unsupported

REJECTED  UNSUPPORTED 

Missing1
Missing (%)0.1%
Memory size11.0 KiB

Sample

항구품목분류 (대분류명)1월Unnamed: 3Unnamed: 4Unnamed: 52월Unnamed: 7Unnamed: 8Unnamed: 93월Unnamed: 11Unnamed: 12Unnamed: 134월Unnamed: 15Unnamed: 16Unnamed: 175월Unnamed: 19Unnamed: 20Unnamed: 216월Unnamed: 23Unnamed: 24Unnamed: 257월Unnamed: 27Unnamed: 28Unnamed: 298월Unnamed: 31Unnamed: 32Unnamed: 339월Unnamed: 35Unnamed: 36Unnamed: 3710월Unnamed: 39Unnamed: 40Unnamed: 4111월Unnamed: 43Unnamed: 44Unnamed: 4512월Unnamed: 47Unnamed: 48Unnamed: 49연간 합계Unnamed: 51Unnamed: 52Unnamed: 53
0<NA><NA>내국선용품NaN외국선용품NaN내국선용품NaN외국선용품NaN내국선용품NaN외국선용품NaN내국선용품<NA>외국선용품<NA>내국선용품<NA>외국선용품<NA>내국선용품<NA>외국선용품<NA>내국선용품<NA>외국선용품<NA>내국선용품<NA>외국선용품<NA>내국선용품<NA>외국선용품<NA>내국선용품<NA>외국선용품<NA>내국선용품<NA>외국선용품<NA>내국선용품<NA>외국선용품<NA>내국선용품NaN외국선용품NaN
1<NA><NA>건수금액건수금액건수금액건수금액건수금액건수금액건수금액건수금액건수금액건수금액건수금액건수금액건수금액건수금액건수금액건수금액건수금액건수금액건수금액건수금액건수금액건수금액건수금액건수금액건수금액건수금액
2애월 _x000D_(KRAWL)주류NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0000
3애월 _x000D_(KRAWL)담배NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0000
4애월 _x000D_(KRAWL)육류NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0000
5애월 _x000D_(KRAWL)식품류NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0000
6애월 _x000D_(KRAWL)전자제품NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0000
7애월 _x000D_(KRAWL)조리기구NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0000
8애월 _x000D_(KRAWL)선박부품NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0000
9애월 _x000D_(KRAWL)악세사리NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0000
항구품목분류 (대분류명)1월Unnamed: 3Unnamed: 4Unnamed: 52월Unnamed: 7Unnamed: 8Unnamed: 93월Unnamed: 11Unnamed: 12Unnamed: 134월Unnamed: 15Unnamed: 16Unnamed: 175월Unnamed: 19Unnamed: 20Unnamed: 216월Unnamed: 23Unnamed: 24Unnamed: 257월Unnamed: 27Unnamed: 28Unnamed: 298월Unnamed: 31Unnamed: 32Unnamed: 339월Unnamed: 35Unnamed: 36Unnamed: 3710월Unnamed: 39Unnamed: 40Unnamed: 4111월Unnamed: 43Unnamed: 44Unnamed: 4512월Unnamed: 47Unnamed: 48Unnamed: 49연간 합계Unnamed: 51Unnamed: 52Unnamed: 53
1383영흥화력3돌핀 _x000D_(MDU03)식품류NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0000
1384영흥화력3돌핀 _x000D_(MDU03)전자제품NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0000
1385영흥화력3돌핀 _x000D_(MDU03)조리기구NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0000
1386영흥화력3돌핀 _x000D_(MDU03)선박부품NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0000
1387영흥화력3돌핀 _x000D_(MDU03)악세사리NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0000
1388영흥화력3돌핀 _x000D_(MDU03)유류NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0000
1389영흥화력3돌핀 _x000D_(MDU03)조건부선용품NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0000
1390영흥화력3돌핀 _x000D_(MDU03)선박폐기물NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0000
1391영흥화력3돌핀 _x000D_(MDU03)기타NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0000
1392영흥화력3돌핀 _x000D_(MDU03)합계NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0000