Overview

Dataset statistics

Number of variables6
Number of observations145
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.9 KiB
Average record size in memory48.9 B

Variable types

Categorical1
Text3
DateTime2

Dataset

Description불공정무역행위 조사 및 산업피해규제에 관한 법률에 따라 부과된 덤핑관세에 대한 자료로 국가별, 품목별 관세부과 범위 등을 포함하고 있음
Author산업통상자원부
URLhttps://www.data.go.kr/data/3038723/fileData.do

Reproduction

Analysis started2024-03-14 14:00:11.772353
Analysis finished2024-03-14 14:00:12.661308
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

국가명
Categorical

Distinct49
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
중국
44 
일본
20 
일본,인도,스페인
 
6
중국,인도
 
5
미국,일본,대만
 
4
Other values (44)
66 

Length

Max length18
Median length14
Mean length5.1724138
Min length2

Unique

Unique29 ?
Unique (%)20.0%

Sample

1st row일본,대만
2nd row프랑스
3rd row미국,일본
4th row중국
5th row태국

Common Values

ValueCountFrequency (%)
중국 44
30.3%
일본 20
13.8%
일본,인도,스페인 6
 
4.1%
중국,인도 5
 
3.4%
미국,일본,대만 4
 
2.8%
중국,싱가포르,일본 4
 
2.8%
말레이시아 4
 
2.8%
중국,대만,말레이시아 3
 
2.1%
미국,인도,중국,캐나다 3
 
2.1%
대만 3
 
2.1%
Other values (39) 49
33.8%

Length

2024-03-14T23:00:12.940472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
중국 44
30.3%
일본 20
13.8%
일본,인도,스페인 6
 
4.1%
중국,인도 5
 
3.4%
미국,일본,대만 4
 
2.8%
중국,싱가포르,일본 4
 
2.8%
말레이시아 4
 
2.8%
중국,대만,말레이시아 3
 
2.1%
미국,인도,중국,캐나다 3
 
2.1%
대만 3
 
2.1%
Other values (39) 49
33.8%

품목
Text

Distinct112
Distinct (%)77.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-14T23:00:13.979458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length20
Mean length9.2758621
Min length2

Characters and Unicode

Total characters1345
Distinct characters174
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)62.8%

Sample

1st rowD.C.P
2nd row알루미나 시멘트
3rd row폴리아세탈수지
4th row정제인산
5th row볼베어링
ValueCountFrequency (%)
ps 7
 
3.2%
인쇄판 7
 
3.2%
합판 6
 
2.7%
장섬유 6
 
2.7%
도자기질 5
 
2.3%
일회용 5
 
2.3%
포켓형 5
 
2.3%
pet필름 4
 
1.8%
폴리에스테르 4
 
1.8%
알칼리망간 3
 
1.4%
Other values (132) 168
76.4%
2024-03-14T23:00:15.383626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
75
 
5.6%
( 55
 
4.1%
) 55
 
4.1%
차 52
 
3.9%
심 47
 
3.5%
재 47
 
3.5%
스 41
 
3.0%
리 41
 
3.0%
판 35
 
2.6%
1 31
 
2.3%
Other values (164) 866
64.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1042
77.5%
Space Separator 75
 
5.6%
Open Punctuation 55
 
4.1%
Close Punctuation 55
 
4.1%
Uppercase Letter 54
 
4.0%
Decimal Number 49
 
3.6%
Lowercase Letter 8
 
0.6%
Dash Punctuation 4
 
0.3%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
차 52
 
5.0%
심 47
 
4.5%
재 47
 
4.5%
스 41
 
3.9%
리 41
 
3.9%
판 35
 
3.4%
인 27
 
2.6%
틸 23
 
2.2%
에 21
 
2.0%
유 20
 
1.9%
Other values (140) 688
66.0%
Uppercase Letter
ValueCountFrequency (%)
P 20
37.0%
S 7
 
13.0%
T 7
 
13.0%
E 7
 
13.0%
H 4
 
7.4%
C 3
 
5.6%
O 2
 
3.7%
D 2
 
3.7%
R 1
 
1.9%
V 1
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
p 2
25.0%
t 2
25.0%
e 2
25.0%
l 1
12.5%
a 1
12.5%
Decimal Number
ValueCountFrequency (%)
1 31
63.3%
2 13
26.5%
3 5
 
10.2%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
75
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1042
77.5%
Common 241
 
17.9%
Latin 62
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
차 52
 
5.0%
심 47
 
4.5%
재 47
 
4.5%
스 41
 
3.9%
리 41
 
3.9%
판 35
 
3.4%
인 27
 
2.6%
틸 23
 
2.2%
에 21
 
2.0%
유 20
 
1.9%
Other values (140) 688
66.0%
Latin
ValueCountFrequency (%)
P 20
32.3%
S 7
 
11.3%
T 7
 
11.3%
E 7
 
11.3%
H 4
 
6.5%
C 3
 
4.8%
p 2
 
3.2%
t 2
 
3.2%
e 2
 
3.2%
O 2
 
3.2%
Other values (5) 6
 
9.7%
Common
ValueCountFrequency (%)
75
31.1%
( 55
22.8%
) 55
22.8%
1 31
12.9%
2 13
 
5.4%
3 5
 
2.1%
- 4
 
1.7%
. 2
 
0.8%
, 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1042
77.5%
ASCII 303
 
22.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
75
24.8%
( 55
18.2%
) 55
18.2%
1 31
10.2%
P 20
 
6.6%
2 13
 
4.3%
S 7
 
2.3%
T 7
 
2.3%
E 7
 
2.3%
3 5
 
1.7%
Other values (14) 28
 
9.2%
Hangul
ValueCountFrequency (%)
차 52
 
5.0%
심 47
 
4.5%
재 47
 
4.5%
스 41
 
3.9%
리 41
 
3.9%
판 35
 
3.4%
인 27
 
2.6%
틸 23
 
2.2%
에 21
 
2.0%
유 20
 
1.9%
Other values (140) 688
66.0%

관세부과범위
Text

Distinct125
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-14T23:00:16.466968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length9.6689655
Min length3

Characters and Unicode

Total characters1402
Distinct characters40
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique115 ?
Unique (%)79.3%

Sample

1st row가격약속
2nd row가격약속
3rd row기준가격과 수입가격의 차액
4th row40.46~54.28
5th row6.27
ValueCountFrequency (%)
가격약속 7
 
4.7%
일부부과제외 6
 
4.0%
24.51~38.16 3
 
2.0%
13.17 3
 
2.0%
26.7 2
 
1.3%
12.04~36.01,가격약속 2
 
1.3%
20.10~25.00 2
 
1.3%
8.56~19.84 2
 
1.3%
4.03~10.79 2
 
1.3%
24.51~38.16,일부부과제외 2
 
1.3%
Other values (118) 118
79.2%
2024-03-14T23:00:17.956705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 233
16.6%
1 143
 
10.2%
2 115
 
8.2%
~ 97
 
6.9%
3 92
 
6.6%
6 80
 
5.7%
5 75
 
5.3%
7 73
 
5.2%
0 68
 
4.9%
8 67
 
4.8%
Other values (30) 359
25.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 841
60.0%
Other Punctuation 259
 
18.5%
Other Letter 195
 
13.9%
Math Symbol 102
 
7.3%
Space Separator 4
 
0.3%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 33
16.9%
격 33
16.9%
약 32
16.4%
속 32
16.4%
부 16
8.2%
과 9
 
4.6%
외 8
 
4.1%
제 8
 
4.1%
일 8
 
4.1%
수 2
 
1.0%
Other values (14) 14
7.2%
Decimal Number
ValueCountFrequency (%)
1 143
17.0%
2 115
13.7%
3 92
10.9%
6 80
9.5%
5 75
8.9%
7 73
8.7%
0 68
8.1%
8 67
8.0%
4 67
8.0%
9 61
7.3%
Other Punctuation
ValueCountFrequency (%)
. 233
90.0%
, 26
 
10.0%
Math Symbol
ValueCountFrequency (%)
~ 97
95.1%
∼ 5
 
4.9%
Space Separator
ValueCountFrequency (%)
4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1207
86.1%
Hangul 195
 
13.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 33
16.9%
격 33
16.9%
약 32
16.4%
속 32
16.4%
부 16
8.2%
과 9
 
4.6%
외 8
 
4.1%
제 8
 
4.1%
일 8
 
4.1%
수 2
 
1.0%
Other values (14) 14
7.2%
Common
ValueCountFrequency (%)
. 233
19.3%
1 143
11.8%
2 115
9.5%
~ 97
8.0%
3 92
 
7.6%
6 80
 
6.6%
5 75
 
6.2%
7 73
 
6.0%
0 68
 
5.6%
8 67
 
5.6%
Other values (6) 164
13.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1202
85.7%
Hangul 195
 
13.9%
Math Operators 5
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 233
19.4%
1 143
11.9%
2 115
9.6%
~ 97
8.1%
3 92
 
7.7%
6 80
 
6.7%
5 75
 
6.2%
7 73
 
6.1%
0 68
 
5.7%
8 67
 
5.6%
Other values (5) 159
13.2%
Hangul
ValueCountFrequency (%)
가 33
16.9%
격 33
16.9%
약 32
16.4%
속 32
16.4%
부 16
8.2%
과 9
 
4.6%
외 8
 
4.1%
제 8
 
4.1%
일 8
 
4.1%
수 2
 
1.0%
Other values (14) 14
7.2%
Math Operators
ValueCountFrequency (%)
∼ 5
100.0%

부과시작일
Date

Distinct117
Distinct (%)80.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum1989-01-13 00:00:00
Maximum2023-07-21 00:00:00
2024-03-14T23:00:18.379904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:00:18.832796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

부과종료일
Date

Distinct115
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum1989-12-31 00:00:00
Maximum2028-05-07 00:00:00
2024-03-14T23:00:19.236387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:00:19.682106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

관련법령
Text

Distinct142
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-14T23:00:21.069962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length12.006897
Min length9

Characters and Unicode

Total characters1741
Distinct characters31
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique140 ?
Unique (%)96.6%

Sample

1st row재무부 공고 제89-2호
2nd row재무부 고시 제89-14호
3rd row대통령령 제13467호
4th row대통령령 제13846호
5th row대통령령 제13873호
ValueCountFrequency (%)
기획재정부령 80
26.6%
재정경제부령 35
 
11.6%
총리령 12
 
4.0%
고시 7
 
2.3%
대통령령 5
 
1.7%
개정경제부령 4
 
1.3%
재정경제원 3
 
1.0%
제437호 3
 
1.0%
제40호 2
 
0.7%
제334호 2
 
0.7%
Other values (144) 148
49.2%
2024-03-14T23:00:22.821388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 189
 
10.9%
156
 
9.0%
호 146
 
8.4%
령 142
 
8.2%
정 125
 
7.2%
부 125
 
7.2%
재 123
 
7.1%
기 81
 
4.7%
획 81
 
4.7%
3 54
 
3.1%
Other values (21) 519
29.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1121
64.4%
Decimal Number 454
26.1%
Space Separator 156
 
9.0%
Dash Punctuation 10
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 189
16.9%
호 146
13.0%
령 142
12.7%
정 125
11.2%
부 125
11.2%
재 123
11.0%
기 81
7.2%
획 81
7.2%
경 44
 
3.9%
총 12
 
1.1%
Other values (9) 53
 
4.7%
Decimal Number
ValueCountFrequency (%)
3 54
11.9%
2 52
11.5%
1 49
10.8%
6 48
10.6%
4 48
10.6%
9 45
9.9%
5 41
9.0%
8 41
9.0%
0 40
8.8%
7 36
7.9%
Space Separator
ValueCountFrequency (%)
156
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1121
64.4%
Common 620
35.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 189
16.9%
호 146
13.0%
령 142
12.7%
정 125
11.2%
부 125
11.2%
재 123
11.0%
기 81
7.2%
획 81
7.2%
경 44
 
3.9%
총 12
 
1.1%
Other values (9) 53
 
4.7%
Common
ValueCountFrequency (%)
156
25.2%
3 54
 
8.7%
2 52
 
8.4%
1 49
 
7.9%
6 48
 
7.7%
4 48
 
7.7%
9 45
 
7.3%
5 41
 
6.6%
8 41
 
6.6%
0 40
 
6.5%
Other values (2) 46
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1121
64.4%
ASCII 620
35.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 189
16.9%
호 146
13.0%
령 142
12.7%
정 125
11.2%
부 125
11.2%
재 123
11.0%
기 81
7.2%
획 81
7.2%
경 44
 
3.9%
총 12
 
1.1%
Other values (9) 53
 
4.7%
ASCII
ValueCountFrequency (%)
156
25.2%
3 54
 
8.7%
2 52
 
8.4%
1 49
 
7.9%
6 48
 
7.7%
4 48
 
7.7%
9 45
 
7.3%
5 41
 
6.6%
8 41
 
6.6%
0 40
 
6.5%
Other values (2) 46
 
7.4%

Missing values

2024-03-14T23:00:12.173800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T23:00:12.525472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

국가명품목관세부과범위부과시작일부과종료일관련법령
0일본,대만D.C.P가격약속1989-01-131989-12-31재무부 공고 제89-2호
1프랑스알루미나 시멘트가격약속1989-09-011991-08-30재무부 고시 제89-14호
2미국,일본폴리아세탈수지기준가격과 수입가격의 차액1991-09-301993-08-30대통령령 제13467호
3중국정제인산40.46~54.281993-02-201996-02-19대통령령 제13846호
4태국볼베어링6.271993-01-281998-01-27대통령령 제13873호
5중국소다회66.11,가격약속1993-12-311996-12-30대통령령 제14047호
6일본PS 인쇄판24.51~38.161993-11-081998-11-07대통령령 제14046호
7미국,일본,대만유리장섬유10.3~58.7,가격약속1994-04-121999-04-11재무부령 제1997호
8중국정제인산(1차재심)18.66~57.551996-02-201998-02-19총리령 제549호
9미국,일본,대만유리장섬유일부부과제외1996-02-291999-04-11총리령 제550호
국가명품목관세부과범위부과시작일부과종료일관련법령
135중국폴리에스테르 장섬유 완전연신사3.95~10.912022-01-062027-01-05기획재정부령 제888호
136중국플로트판유리36.012022-04-082027-04-07기획재정부령 제913호
137중국인쇄제판용 평면모양 사진 플레이트(옵셋 인쇄판, 더블레이어 제품)3.60~7.612022-10-252027-10-24기획재정부령 제940호
138미국,프랑스부틸글리콜에테르20.10~25.002022-07-262027-07-25기획재정부령 제925호
139사우디아라비아부틸글리콜에테르43.582022-09-052025-09-04기획재정부령 제932호
140중국,베트남이음매없는동관9.98~18.122023-03-022028-03-03기획재정부령 제964호
141중국,태국,인니폴리아미드필름4.90~28.602023-02-272028-02-26기획재정부령 제960호
142중국,호주수산화알루미늄13.99~37.962023-04-282028-04-27기획재정부령 제990호
143중국,인도폴리에틸렌테레프탈레이트(pet) 필름2.20~36.982023-05-082028-05-07기획재정부령 제992호
144베트남,인도,우크라이나페로실리코망간2.30~11.042023-07-212023-07-20기획재정부령 제1007호