Overview

Dataset statistics

Number of variables14
Number of observations2734
Missing cells3338
Missing cells (%)8.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory299.2 KiB
Average record size in memory112.0 B

Variable types

Text11
Categorical2
DateTime1

Dataset

Description2012~2015 해외 IP5의 주요 지식재산권 판례에 대한 데이터로 법원국가, 사건번호, 원피고명, 판결일, 판결결과 등 제공
Author한국지식재산보호원
URLhttps://www.data.go.kr/data/3040553/fileData.do

Alerts

판결구분 is highly imbalanced (72.4%)Imbalance
원고명 has 175 (6.4%) missing valuesMissing
피고명 has 184 (6.7%) missing valuesMissing
IPC코드분류 has 1423 (52.0%) missing valuesMissing
쟁점기술 has 80 (2.9%) missing valuesMissing
관련특허번호 has 1475 (54.0%) missing valuesMissing
본문링크(URL) has unique valuesUnique

Reproduction

Analysis started2023-12-11 22:56:20.035106
Analysis finished2023-12-11 22:56:23.554618
Duration3.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct2234
Distinct (%)81.7%
Missing0
Missing (%)0.0%
Memory size21.5 KiB
2023-12-12T07:56:23.758364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length124
Median length78.5
Mean length29.393563
Min length4

Characters and Unicode

Total characters80362
Distinct characters880
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2134 ?
Unique (%)78.1%

Sample

1st row엠씨엠 포트폴리오 엘엘씨 대 휴렛 패커
2nd row중바이 하이퍼마켓 유한공사 창칭루 쇼핑센터, 중바이 하이퍼마켓 유한공사 vs. 광둥 아오페이 애니메이션 컬처 주식유한공사(Alpha Animation & Culture)의 상표권 침해 분쟁사건
3rd row후베이 진텐안 의약업 유한공사 후이민 대형약국 vs. 저장 캉언베이 제약 주식유한공사의 상표권 침해 분쟁사건
4th row이빈 우량예 주식유한공사 vs. 우저우시 창저우구 리신위안 상가의 상표권 침해 분쟁사건
5th row선전 레이보 과학기술 주식유한공사 vs. 베이징 둥팡저 솽룽순 마트 유한공사의 상표권 침해 분쟁사건
ValueCountFrequency (%)
1363
 
8.9%
주식회사 917
 
6.0%
소송사건 595
 
3.9%
침해 583
 
3.8%
인코퍼레이티드 440
 
2.9%
상표권 339
 
2.2%
분쟁 265
 
1.7%
유한회사 240
 
1.6%
엘엘씨 185
 
1.2%
유한책임회사 150
 
1.0%
Other values (5211) 10214
66.8%
2023-12-12T07:56:24.140175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12557
 
15.6%
3905
 
4.9%
2459
 
3.1%
2455
 
3.1%
1736
 
2.2%
1720
 
2.1%
1549
 
1.9%
1405
 
1.7%
1279
 
1.6%
1216
 
1.5%
Other values (870) 50081
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65192
81.1%
Space Separator 12561
 
15.6%
Other Punctuation 747
 
0.9%
Lowercase Letter 653
 
0.8%
Uppercase Letter 392
 
0.5%
Close Punctuation 329
 
0.4%
Open Punctuation 329
 
0.4%
Dash Punctuation 89
 
0.1%
Decimal Number 64
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3905
 
6.0%
2459
 
3.8%
2455
 
3.8%
1736
 
2.7%
1720
 
2.6%
1549
 
2.4%
1405
 
2.2%
1279
 
2.0%
1216
 
1.9%
1192
 
1.8%
Other values (791) 46276
71.0%
Uppercase Letter
ValueCountFrequency (%)
I 41
 
10.5%
C 33
 
8.4%
E 32
 
8.2%
A 30
 
7.7%
L 29
 
7.4%
M 24
 
6.1%
T 21
 
5.4%
N 21
 
5.4%
O 18
 
4.6%
G 18
 
4.6%
Other values (14) 125
31.9%
Lowercase Letter
ValueCountFrequency (%)
s 123
18.8%
v 108
16.5%
e 51
7.8%
i 48
 
7.4%
t 46
 
7.0%
o 41
 
6.3%
n 38
 
5.8%
r 37
 
5.7%
a 30
 
4.6%
l 29
 
4.4%
Other values (13) 102
15.6%
Other Punctuation
ValueCountFrequency (%)
, 383
51.3%
. 229
30.7%
& 104
 
13.9%
/ 15
 
2.0%
' 6
 
0.8%
· 3
 
0.4%
" 2
 
0.3%
! 2
 
0.3%
1
 
0.1%
* 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 14
21.9%
1 14
21.9%
2 12
18.8%
3 8
12.5%
6 4
 
6.2%
8 4
 
6.2%
4 3
 
4.7%
9 2
 
3.1%
5 2
 
3.1%
7 1
 
1.6%
Math Symbol
ValueCountFrequency (%)
× 2
50.0%
+ 1
25.0%
= 1
25.0%
Space Separator
ValueCountFrequency (%)
12557
> 99.9%
  4
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 328
99.7%
} 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 328
99.7%
1
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
- 89
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65177
81.1%
Common 14123
 
17.6%
Latin 1045
 
1.3%
Han 17
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3905
 
6.0%
2459
 
3.8%
2455
 
3.8%
1736
 
2.7%
1720
 
2.6%
1549
 
2.4%
1405
 
2.2%
1279
 
2.0%
1216
 
1.9%
1192
 
1.8%
Other values (775) 46261
71.0%
Latin
ValueCountFrequency (%)
s 123
 
11.8%
v 108
 
10.3%
e 51
 
4.9%
i 48
 
4.6%
t 46
 
4.4%
o 41
 
3.9%
I 41
 
3.9%
n 38
 
3.6%
r 37
 
3.5%
C 33
 
3.2%
Other values (37) 479
45.8%
Common
ValueCountFrequency (%)
12557
88.9%
, 383
 
2.7%
) 328
 
2.3%
( 328
 
2.3%
. 229
 
1.6%
& 104
 
0.7%
- 89
 
0.6%
/ 15
 
0.1%
0 14
 
0.1%
1 14
 
0.1%
Other values (21) 62
 
0.4%
Han
ValueCountFrequency (%)
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
Other values (7) 7
41.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65175
81.1%
ASCII 15157
 
18.9%
CJK 17
 
< 0.1%
None 13
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12557
82.8%
, 383
 
2.5%
) 328
 
2.2%
( 328
 
2.2%
. 229
 
1.5%
s 123
 
0.8%
v 108
 
0.7%
& 104
 
0.7%
- 89
 
0.6%
e 51
 
0.3%
Other values (63) 857
 
5.7%
Hangul
ValueCountFrequency (%)
3905
 
6.0%
2459
 
3.8%
2455
 
3.8%
1736
 
2.7%
1720
 
2.6%
1549
 
2.4%
1405
 
2.2%
1279
 
2.0%
1216
 
1.9%
1192
 
1.8%
Other values (774) 46259
71.0%
None
ValueCountFrequency (%)
  4
30.8%
· 3
23.1%
2
15.4%
× 2
15.4%
1
 
7.7%
1
 
7.7%
CJK
ValueCountFrequency (%)
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
1
 
5.9%
Other values (7) 7
41.2%
Distinct2689
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size21.5 KiB
2023-12-12T07:56:24.575951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length184
Median length65
Mean length14.358815
Min length8

Characters and Unicode

Total characters39257
Distinct characters141
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2647 ?
Unique (%)96.8%

Sample

1st rowCAFC-2015-1091
2nd row(2015)鄂民三字第00611
3rd row(2015)鄂民三字第00620
4th row(2015)京知民字第1593
5th row(2015)京知民字第1593
ValueCountFrequency (%)
f.supp.2d 252
 
5.3%
f.3d 114
 
2.4%
ewhc 98
 
2.1%
zr 96
 
2.0%
2013 75
 
1.6%
x 73
 
1.5%
2012 71
 
1.5%
civ 68
 
1.4%
u 68
 
1.4%
no 64
 
1.4%
Other values (2794) 3747
79.3%
2023-12-12T07:56:25.180053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 4192
 
10.7%
1 4116
 
10.5%
0 3790
 
9.7%
2040
 
5.2%
3 1939
 
4.9%
- 1402
 
3.6%
4 1370
 
3.5%
( 1358
 
3.5%
) 1358
 
3.5%
C 1079
 
2.7%
Other values (131) 16613
42.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20119
51.2%
Other Letter 5139
 
13.1%
Uppercase Letter 4589
 
11.7%
Space Separator 2044
 
5.2%
Lowercase Letter 1835
 
4.7%
Open Punctuation 1545
 
3.9%
Close Punctuation 1545
 
3.9%
Dash Punctuation 1402
 
3.6%
Other Punctuation 1037
 
2.6%
Connector Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
816
15.9%
816
15.9%
685
13.3%
361
 
7.0%
359
 
7.0%
279
 
5.4%
273
 
5.3%
248
 
4.8%
177
 
3.4%
171
 
3.3%
Other values (67) 954
18.6%
Uppercase Letter
ValueCountFrequency (%)
C 1079
23.5%
F 715
15.6%
A 518
11.3%
S 327
 
7.1%
E 220
 
4.8%
W 212
 
4.6%
N 192
 
4.2%
P 147
 
3.2%
R 137
 
3.0%
H 121
 
2.6%
Other values (15) 921
20.1%
Lowercase Letter
ValueCountFrequency (%)
p 568
31.0%
d 400
21.8%
u 252
13.7%
i 109
 
5.9%
v 103
 
5.6%
o 82
 
4.5%
t 73
 
4.0%
a 65
 
3.5%
c 37
 
2.0%
e 36
 
2.0%
Other values (6) 110
 
6.0%
Decimal Number
ValueCountFrequency (%)
2 4192
20.8%
1 4116
20.5%
0 3790
18.8%
3 1939
9.6%
4 1370
 
6.8%
8 1012
 
5.0%
6 990
 
4.9%
5 925
 
4.6%
9 909
 
4.5%
7 876
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 814
78.5%
/ 198
 
19.1%
: 18
 
1.7%
, 6
 
0.6%
1
 
0.1%
Space Separator
ValueCountFrequency (%)
2040
99.8%
  4
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 1358
87.9%
[ 187
 
12.1%
Close Punctuation
ValueCountFrequency (%)
) 1358
87.9%
] 187
 
12.1%
Dash Punctuation
ValueCountFrequency (%)
- 1402
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 27694
70.5%
Latin 6424
 
16.4%
Han 4782
 
12.2%
Katakana 357
 
0.9%

Most frequent character per script

Han
ValueCountFrequency (%)
816
17.1%
816
17.1%
685
14.3%
361
7.5%
359
7.5%
279
 
5.8%
273
 
5.7%
248
 
5.2%
171
 
3.6%
104
 
2.2%
Other values (63) 670
14.0%
Latin
ValueCountFrequency (%)
C 1079
16.8%
F 715
 
11.1%
p 568
 
8.8%
A 518
 
8.1%
d 400
 
6.2%
S 327
 
5.1%
u 252
 
3.9%
E 220
 
3.4%
W 212
 
3.3%
N 192
 
3.0%
Other values (31) 1941
30.2%
Common
ValueCountFrequency (%)
2 4192
15.1%
1 4116
14.9%
0 3790
13.7%
2040
 
7.4%
3 1939
 
7.0%
- 1402
 
5.1%
4 1370
 
4.9%
( 1358
 
4.9%
) 1358
 
4.9%
8 1012
 
3.7%
Other values (13) 5117
18.5%
Katakana
ValueCountFrequency (%)
177
49.6%
100
28.0%
78
21.8%
2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34113
86.9%
CJK 4782
 
12.2%
Katakana 357
 
0.9%
None 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 4192
 
12.3%
1 4116
 
12.1%
0 3790
 
11.1%
2040
 
6.0%
3 1939
 
5.7%
- 1402
 
4.1%
4 1370
 
4.0%
( 1358
 
4.0%
) 1358
 
4.0%
C 1079
 
3.2%
Other values (52) 11469
33.6%
CJK
ValueCountFrequency (%)
816
17.1%
816
17.1%
685
14.3%
361
7.5%
359
7.5%
279
 
5.8%
273
 
5.7%
248
 
5.2%
171
 
3.6%
104
 
2.2%
Other values (63) 670
14.0%
Katakana
ValueCountFrequency (%)
177
49.6%
100
28.0%
78
21.8%
2
 
0.6%
None
ValueCountFrequency (%)
  4
80.0%
1
 
20.0%

원고명
Text

MISSING 

Distinct2257
Distinct (%)88.2%
Missing175
Missing (%)6.4%
Memory size21.5 KiB
2023-12-12T07:56:25.522479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length335
Median length105
Mean length16.58812
Min length1

Characters and Unicode

Total characters42449
Distinct characters853
Distinct categories11 ?
Distinct scripts5 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2103 ?
Unique (%)82.2%

Sample

1st rowMCM PORTFOLIO LLC
2nd row중바이 하이퍼마켓 유한공사 창칭루 쇼핑센터|중바이 하이퍼마켓 유한공사
3rd row후베이 진텐안 의약업 유한공사 후이민 대형약국|후베이 진텐안 의약업 유한공사
4th row이빈 우량예 주식유한공사
5th row선전 레이보 과학기술 주식유한공사
ValueCountFrequency (%)
주식회사 653
 
9.0%
인코퍼레이티드 213
 
2.9%
유한회사 140
 
1.9%
엘엘씨 108
 
1.5%
유한책임회사 92
 
1.3%
inc 60
 
0.8%
38
 
0.5%
인터내셔널 37
 
0.5%
테크놀로지스 35
 
0.5%
llc 33
 
0.5%
Other values (3843) 5821
80.5%
2023-12-12T07:56:26.043042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4676
 
11.0%
1996
 
4.7%
1818
 
4.3%
1540
 
3.6%
1198
 
2.8%
1087
 
2.6%
1011
 
2.4%
1010
 
2.4%
957
 
2.3%
| 618
 
1.5%
Other values (843) 26538
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32265
76.0%
Space Separator 4676
 
11.0%
Uppercase Letter 3469
 
8.2%
Math Symbol 621
 
1.5%
Lowercase Letter 587
 
1.4%
Other Punctuation 482
 
1.1%
Close Punctuation 112
 
0.3%
Open Punctuation 112
 
0.3%
Dash Punctuation 74
 
0.2%
Decimal Number 50
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1996
 
6.2%
1818
 
5.6%
1540
 
4.8%
1198
 
3.7%
1087
 
3.4%
1011
 
3.1%
1010
 
3.1%
957
 
3.0%
521
 
1.6%
518
 
1.6%
Other values (750) 20609
63.9%
Uppercase Letter
ValueCountFrequency (%)
I 318
 
9.2%
E 314
 
9.1%
C 299
 
8.6%
N 291
 
8.4%
A 277
 
8.0%
O 249
 
7.2%
T 228
 
6.6%
L 226
 
6.5%
S 201
 
5.8%
R 197
 
5.7%
Other values (29) 869
25.1%
Lowercase Letter
ValueCountFrequency (%)
e 71
12.1%
n 60
10.2%
i 54
9.2%
o 51
8.7%
t 45
 
7.7%
a 45
 
7.7%
r 41
 
7.0%
c 38
 
6.5%
l 34
 
5.8%
s 32
 
5.5%
Other values (14) 116
19.8%
Decimal Number
ValueCountFrequency (%)
1 22
44.0%
2 8
 
16.0%
3 7
 
14.0%
0 3
 
6.0%
6 3
 
6.0%
9 2
 
4.0%
7 2
 
4.0%
4 1
 
2.0%
5 1
 
2.0%
8 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 289
60.0%
, 136
28.2%
& 28
 
5.8%
/ 14
 
2.9%
' 7
 
1.5%
· 6
 
1.2%
\ 1
 
0.2%
# 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
| 618
99.5%
× 2
 
0.3%
= 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 110
98.2%
] 1
 
0.9%
} 1
 
0.9%
Open Punctuation
ValueCountFrequency (%)
( 110
98.2%
[ 1
 
0.9%
{ 1
 
0.9%
Space Separator
ValueCountFrequency (%)
4676
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32237
75.9%
Common 6127
 
14.4%
Latin 4056
 
9.6%
Katakana 18
 
< 0.1%
Han 11
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1996
 
6.2%
1818
 
5.6%
1540
 
4.8%
1198
 
3.7%
1087
 
3.4%
1011
 
3.1%
1010
 
3.1%
957
 
3.0%
521
 
1.6%
518
 
1.6%
Other values (729) 20581
63.8%
Latin
ValueCountFrequency (%)
I 318
 
7.8%
E 314
 
7.7%
C 299
 
7.4%
N 291
 
7.2%
A 277
 
6.8%
O 249
 
6.1%
T 228
 
5.6%
L 226
 
5.6%
S 201
 
5.0%
R 197
 
4.9%
Other values (53) 1456
35.9%
Common
ValueCountFrequency (%)
4676
76.3%
| 618
 
10.1%
. 289
 
4.7%
, 136
 
2.2%
) 110
 
1.8%
( 110
 
1.8%
- 74
 
1.2%
& 28
 
0.5%
1 22
 
0.4%
/ 14
 
0.2%
Other values (19) 50
 
0.8%
Katakana
ValueCountFrequency (%)
2
 
11.1%
2
 
11.1%
2
 
11.1%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
Other values (5) 5
27.8%
Han
ValueCountFrequency (%)
3
27.3%
2
18.2%
2
18.2%
1
 
9.1%
1
 
9.1%
1
 
9.1%
1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32236
75.9%
ASCII 10160
 
23.9%
None 24
 
0.1%
Katakana 18
 
< 0.1%
CJK 11
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4676
46.0%
| 618
 
6.1%
I 318
 
3.1%
E 314
 
3.1%
C 299
 
2.9%
N 291
 
2.9%
. 289
 
2.8%
A 277
 
2.7%
O 249
 
2.5%
T 228
 
2.2%
Other values (67) 2601
25.6%
Hangul
ValueCountFrequency (%)
1996
 
6.2%
1818
 
5.6%
1540
 
4.8%
1198
 
3.7%
1087
 
3.4%
1011
 
3.1%
1010
 
3.1%
957
 
3.0%
521
 
1.6%
518
 
1.6%
Other values (728) 20580
63.8%
None
ValueCountFrequency (%)
· 6
25.0%
2
 
8.3%
2
 
8.3%
× 2
 
8.3%
1
 
4.2%
1
 
4.2%
1
 
4.2%
1
 
4.2%
1
 
4.2%
1
 
4.2%
Other values (6) 6
25.0%
CJK
ValueCountFrequency (%)
3
27.3%
2
18.2%
2
18.2%
1
 
9.1%
1
 
9.1%
1
 
9.1%
1
 
9.1%
Katakana
ValueCountFrequency (%)
2
 
11.1%
2
 
11.1%
2
 
11.1%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
Other values (5) 5
27.8%

피고명
Text

MISSING 

Distinct2308
Distinct (%)90.5%
Missing184
Missing (%)6.7%
Memory size21.5 KiB
2023-12-12T07:56:26.352733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length341
Median length131
Mean length21.599608
Min length1

Characters and Unicode

Total characters55079
Distinct characters885
Distinct categories10 ?
Distinct scripts6 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2184 ?
Unique (%)85.6%

Sample

1st rowHEWLETT-PACKARD COMPANY
2nd row광둥 아오페이 애니메이션 컬처 주식유한공사(Alpha Animation and Culture)
3rd row저장 캉언베이 제약 주식유한공사
4th row우저우시 창저우구 리신위안 상가
5th row베이징 둥팡저 솽룽순 마트 유한공사
ValueCountFrequency (%)
주식회사 727
 
8.1%
인코퍼레이티드 228
 
2.5%
유한회사 108
 
1.2%
86
 
1.0%
inc 81
 
0.9%
엘엘씨 73
 
0.8%
유한책임회사 64
 
0.7%
인터내셔널 56
 
0.6%
아메리카 55
 
0.6%
유에스에이 55
 
0.6%
Other values (4825) 7438
82.9%
2023-12-12T07:56:26.867517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6421
 
11.7%
2388
 
4.3%
2207
 
4.0%
2044
 
3.7%
| 1590
 
2.9%
1491
 
2.7%
1402
 
2.5%
1369
 
2.5%
1118
 
2.0%
963
 
1.7%
Other values (875) 34086
61.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41312
75.0%
Space Separator 6424
 
11.7%
Uppercase Letter 3848
 
7.0%
Math Symbol 1590
 
2.9%
Lowercase Letter 841
 
1.5%
Other Punctuation 609
 
1.1%
Decimal Number 136
 
0.2%
Open Punctuation 116
 
0.2%
Close Punctuation 115
 
0.2%
Dash Punctuation 88
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2388
 
5.8%
2207
 
5.3%
2044
 
4.9%
1491
 
3.6%
1402
 
3.4%
1369
 
3.3%
1118
 
2.7%
963
 
2.3%
726
 
1.8%
718
 
1.7%
Other values (787) 26886
65.1%
Uppercase Letter
ValueCountFrequency (%)
I 406
10.6%
N 358
 
9.3%
A 330
 
8.6%
C 328
 
8.5%
O 304
 
7.9%
E 285
 
7.4%
T 262
 
6.8%
R 228
 
5.9%
L 211
 
5.5%
S 206
 
5.4%
Other values (27) 930
24.2%
Lowercase Letter
ValueCountFrequency (%)
n 93
11.1%
e 89
10.6%
a 88
10.5%
o 76
9.0%
r 71
 
8.4%
t 59
 
7.0%
i 57
 
6.8%
c 46
 
5.5%
s 42
 
5.0%
l 33
 
3.9%
Other values (15) 187
22.2%
Decimal Number
ValueCountFrequency (%)
1 47
34.6%
0 32
23.5%
2 22
16.2%
3 12
 
8.8%
5 8
 
5.9%
4 5
 
3.7%
6 4
 
2.9%
8 3
 
2.2%
9 2
 
1.5%
7 1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
. 337
55.3%
, 184
30.2%
/ 37
 
6.1%
& 28
 
4.6%
· 10
 
1.6%
' 6
 
1.0%
! 3
 
0.5%
" 2
 
0.3%
* 2
 
0.3%
Space Separator
ValueCountFrequency (%)
6421
> 99.9%
  3
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 114
99.1%
} 1
 
0.9%
Math Symbol
ValueCountFrequency (%)
| 1590
100.0%
Open Punctuation
ValueCountFrequency (%)
( 116
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41267
74.9%
Common 9078
 
16.5%
Latin 4689
 
8.5%
Katakana 22
 
< 0.1%
Han 19
 
< 0.1%
Hiragana 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2388
 
5.8%
2207
 
5.3%
2044
 
5.0%
1491
 
3.6%
1402
 
3.4%
1369
 
3.3%
1118
 
2.7%
963
 
2.3%
726
 
1.8%
718
 
1.7%
Other values (750) 26841
65.0%
Latin
ValueCountFrequency (%)
I 406
 
8.7%
N 358
 
7.6%
A 330
 
7.0%
C 328
 
7.0%
O 304
 
6.5%
E 285
 
6.1%
T 262
 
5.6%
R 228
 
4.9%
L 211
 
4.5%
S 206
 
4.4%
Other values (52) 1771
37.8%
Common
ValueCountFrequency (%)
6421
70.7%
| 1590
 
17.5%
. 337
 
3.7%
, 184
 
2.0%
( 116
 
1.3%
) 114
 
1.3%
- 88
 
1.0%
1 47
 
0.5%
/ 37
 
0.4%
0 32
 
0.4%
Other values (16) 112
 
1.2%
Katakana
ValueCountFrequency (%)
2
 
9.1%
2
 
9.1%
2
 
9.1%
2
 
9.1%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
Other values (8) 8
36.4%
Han
ValueCountFrequency (%)
2
 
10.5%
2
 
10.5%
2
 
10.5%
2
 
10.5%
1
 
5.3%
1
 
5.3%
1
 
5.3%
1
 
5.3%
1
 
5.3%
1
 
5.3%
Other values (5) 5
26.3%
Hiragana
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41267
74.9%
ASCII 13732
 
24.9%
None 35
 
0.1%
Katakana 22
 
< 0.1%
CJK 19
 
< 0.1%
Hiragana 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6421
46.8%
| 1590
 
11.6%
I 406
 
3.0%
N 358
 
2.6%
. 337
 
2.5%
A 330
 
2.4%
C 328
 
2.4%
O 304
 
2.2%
E 285
 
2.1%
T 262
 
1.9%
Other values (65) 3111
22.7%
Hangul
ValueCountFrequency (%)
2388
 
5.8%
2207
 
5.3%
2044
 
5.0%
1491
 
3.6%
1402
 
3.4%
1369
 
3.3%
1118
 
2.7%
963
 
2.3%
726
 
1.8%
718
 
1.7%
Other values (750) 26841
65.0%
None
ValueCountFrequency (%)
· 10
28.6%
  3
 
8.6%
3
 
8.6%
3
 
8.6%
2
 
5.7%
2
 
5.7%
2
 
5.7%
2
 
5.7%
2
 
5.7%
2
 
5.7%
Other values (3) 4
 
11.4%
Katakana
ValueCountFrequency (%)
2
 
9.1%
2
 
9.1%
2
 
9.1%
2
 
9.1%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
1
 
4.5%
Other values (8) 8
36.4%
CJK
ValueCountFrequency (%)
2
 
10.5%
2
 
10.5%
2
 
10.5%
2
 
10.5%
1
 
5.3%
1
 
5.3%
1
 
5.3%
1
 
5.3%
1
 
5.3%
1
 
5.3%
Other values (5) 5
26.3%
Hiragana
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Distinct338
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Memory size21.5 KiB
2023-12-12T07:56:27.439282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length10.405633
Min length3

Characters and Unicode

Total characters28449
Distinct characters297
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique128 ?
Unique (%)4.7%

Sample

1st row미연방순회항소법원
2nd row후베이성 고급인민법원
3rd row후베이성 고급인민법원
4th row광시좡족자치구 난닝시 중급인민법원
5th row베이징 지식산권법원
ValueCountFrequency (%)
지방법원 738
 
15.1%
미연방순회항소법원 389
 
8.0%
동부 144
 
3.0%
남부 134
 
2.7%
북부 125
 
2.6%
최고인민법원 109
 
2.2%
웨일즈 109
 
2.2%
109
 
2.2%
잉글랜드 109
 
2.2%
뉴욕 106
 
2.2%
Other values (305) 2809
57.5%
2023-12-12T07:56:27.850949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2705
 
9.5%
2628
 
9.2%
2147
 
7.5%
1525
 
5.4%
1346
 
4.7%
881
 
3.1%
860
 
3.0%
822
 
2.9%
686
 
2.4%
656
 
2.3%
Other values (287) 14193
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25729
90.4%
Space Separator 2147
 
7.5%
Other Punctuation 209
 
0.7%
Close Punctuation 149
 
0.5%
Open Punctuation 149
 
0.5%
Decimal Number 66
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2705
 
10.5%
2628
 
10.2%
1525
 
5.9%
1346
 
5.2%
881
 
3.4%
860
 
3.3%
822
 
3.2%
686
 
2.7%
656
 
2.5%
560
 
2.2%
Other values (272) 13060
50.8%
Decimal Number
ValueCountFrequency (%)
1 28
42.4%
9 9
 
13.6%
6 8
 
12.1%
2 7
 
10.6%
4 4
 
6.1%
5 2
 
3.0%
7 2
 
3.0%
8 2
 
3.0%
3 2
 
3.0%
0 2
 
3.0%
Other Punctuation
ValueCountFrequency (%)
& 109
52.2%
, 100
47.8%
Space Separator
ValueCountFrequency (%)
2147
100.0%
Close Punctuation
ValueCountFrequency (%)
) 149
100.0%
Open Punctuation
ValueCountFrequency (%)
( 149
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25635
90.1%
Common 2720
 
9.6%
Han 94
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2705
 
10.6%
2628
 
10.3%
1525
 
5.9%
1346
 
5.3%
881
 
3.4%
860
 
3.4%
822
 
3.2%
686
 
2.7%
656
 
2.6%
560
 
2.2%
Other values (240) 12966
50.6%
Han
ValueCountFrequency (%)
20
21.3%
12
 
12.8%
6
 
6.4%
5
 
5.3%
4
 
4.3%
4
 
4.3%
4
 
4.3%
西 3
 
3.2%
3
 
3.2%
3
 
3.2%
Other values (22) 30
31.9%
Common
ValueCountFrequency (%)
2147
78.9%
) 149
 
5.5%
( 149
 
5.5%
& 109
 
4.0%
, 100
 
3.7%
1 28
 
1.0%
9 9
 
0.3%
6 8
 
0.3%
2 7
 
0.3%
4 4
 
0.1%
Other values (5) 10
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25635
90.1%
ASCII 2720
 
9.6%
CJK 94
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2705
 
10.6%
2628
 
10.3%
1525
 
5.9%
1346
 
5.3%
881
 
3.4%
860
 
3.4%
822
 
3.2%
686
 
2.7%
656
 
2.6%
560
 
2.2%
Other values (240) 12966
50.6%
ASCII
ValueCountFrequency (%)
2147
78.9%
) 149
 
5.5%
( 149
 
5.5%
& 109
 
4.0%
, 100
 
3.7%
1 28
 
1.0%
9 9
 
0.3%
6 8
 
0.3%
2 7
 
0.3%
4 4
 
0.1%
Other values (5) 10
 
0.4%
CJK
ValueCountFrequency (%)
20
21.3%
12
 
12.8%
6
 
6.4%
5
 
5.3%
4
 
4.3%
4
 
4.3%
4
 
4.3%
西 3
 
3.2%
3
 
3.2%
3
 
3.2%
Other values (22) 30
31.9%

법원국가
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size21.5 KiB
미국
1184 
중국
816 
일본
354 
독일
193 
영국
187 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미국
2nd row중국
3rd row중국
4th row중국
5th row중국

Common Values

ValueCountFrequency (%)
미국 1184
43.3%
중국 816
29.8%
일본 354
 
12.9%
독일 193
 
7.1%
영국 187
 
6.8%

Length

2023-12-12T07:56:28.010804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:56:28.139931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미국 1184
43.3%
중국 816
29.8%
일본 354
 
12.9%
독일 193
 
7.1%
영국 187
 
6.8%
Distinct776
Distinct (%)28.4%
Missing0
Missing (%)0.0%
Memory size21.5 KiB
Minimum2012-02-29 00:00:00
Maximum2015-12-02 00:00:00
2023-12-12T07:56:28.277871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:56:28.462547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

IPC코드분류
Text

MISSING 

Distinct667
Distinct (%)50.9%
Missing1423
Missing (%)52.0%
Memory size21.5 KiB
2023-12-12T07:56:28.806995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length4
Mean length7.6903127
Min length3

Characters and Unicode

Total characters10082
Distinct characters32
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique494 ?
Unique (%)37.7%

Sample

1st rowG06F,G11C
2nd rowA23L
3rd rowB23Q
4th rowA61C
5th rowA61K
ValueCountFrequency (%)
g06f 77
 
5.9%
a61k 50
 
3.8%
g06q 32
 
2.4%
h04l 20
 
1.5%
a61f 17
 
1.3%
b65d 17
 
1.3%
a61k,a61p 15
 
1.1%
g06q,g06f 14
 
1.1%
h01l 11
 
0.8%
a61b 11
 
0.8%
Other values (657) 1047
79.9%
2023-12-12T07:56:29.267779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1348
13.4%
, 975
 
9.7%
6 879
 
8.7%
1 863
 
8.6%
B 630
 
6.2%
G 600
 
6.0%
A 535
 
5.3%
H 530
 
5.3%
C 448
 
4.4%
4 448
 
4.4%
Other values (22) 2826
28.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4572
45.3%
Uppercase Letter 4535
45.0%
Other Punctuation 975
 
9.7%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
B 630
13.9%
G 600
13.2%
A 535
11.8%
H 530
11.7%
C 448
9.9%
F 427
9.4%
K 303
6.7%
D 205
 
4.5%
L 168
 
3.7%
Q 161
 
3.6%
Other values (11) 528
11.6%
Decimal Number
ValueCountFrequency (%)
0 1348
29.5%
6 879
19.2%
1 863
18.9%
4 448
 
9.8%
2 388
 
8.5%
7 236
 
5.2%
5 151
 
3.3%
3 147
 
3.2%
8 67
 
1.5%
9 45
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 975
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5547
55.0%
Latin 4535
45.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
B 630
13.9%
G 600
13.2%
A 535
11.8%
H 530
11.7%
C 448
9.9%
F 427
9.4%
K 303
6.7%
D 205
 
4.5%
L 168
 
3.7%
Q 161
 
3.6%
Other values (11) 528
11.6%
Common
ValueCountFrequency (%)
0 1348
24.3%
, 975
17.6%
6 879
15.8%
1 863
15.6%
4 448
 
8.1%
2 388
 
7.0%
7 236
 
4.3%
5 151
 
2.7%
3 147
 
2.7%
8 67
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10082
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1348
13.4%
, 975
 
9.7%
6 879
 
8.7%
1 863
 
8.6%
B 630
 
6.2%
G 600
 
6.0%
A 535
 
5.3%
H 530
 
5.3%
C 448
 
4.4%
4 448
 
4.4%
Other values (22) 2826
28.0%

쟁점기술
Text

MISSING 

Distinct2428
Distinct (%)91.5%
Missing80
Missing (%)2.9%
Memory size21.5 KiB
2023-12-12T07:56:29.640114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length155
Median length99
Mean length20.137905
Min length1

Characters and Unicode

Total characters53446
Distinct characters1278
Distinct categories15 ?
Distinct scripts8 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2296 ?
Unique (%)86.5%

Sample

1st row인텔리전트 멀티컨트롤러와 덤 플래쉬 카드
2nd row甲勇士(갑옷용사) vs. 甲神(갑옷 전쟁의 신)
3rd row前列康
4th row五粮液(우량예)<그림>CN1530009_01.jpg</그림>
5th row雷柏, ΓΛΡΟΟ
ValueCountFrequency (%)
460
 
4.4%
방법 270
 
2.6%
위한 190
 
1.8%
시스템 182
 
1.7%
장치 178
 
1.7%
그림 141
 
1.3%
도형 69
 
0.7%
47
 
0.4%
데이터 46
 
0.4%
통신 36
 
0.3%
Other values (5754) 8943
84.7%
2023-12-12T07:56:30.220073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7917
 
14.8%
0 982
 
1.8%
1 818
 
1.5%
761
 
1.4%
720
 
1.3%
695
 
1.3%
> 652
 
1.2%
< 652
 
1.2%
636
 
1.2%
2 535
 
1.0%
Other values (1268) 39078
73.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28834
53.9%
Space Separator 7917
 
14.8%
Uppercase Letter 4820
 
9.0%
Lowercase Letter 4246
 
7.9%
Decimal Number 3312
 
6.2%
Math Symbol 1882
 
3.5%
Other Punctuation 1434
 
2.7%
Connector Punctuation 433
 
0.8%
Close Punctuation 221
 
0.4%
Open Punctuation 221
 
0.4%
Other values (5) 126
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
761
 
2.6%
720
 
2.5%
695
 
2.4%
636
 
2.2%
511
 
1.8%
464
 
1.6%
463
 
1.6%
446
 
1.5%
419
 
1.5%
392
 
1.4%
Other values (1132) 23327
80.9%
Uppercase Letter
ValueCountFrequency (%)
A 378
 
7.8%
N 347
 
7.2%
E 346
 
7.2%
S 324
 
6.7%
C 320
 
6.6%
I 301
 
6.2%
O 296
 
6.1%
R 270
 
5.6%
T 248
 
5.1%
L 236
 
4.9%
Other values (43) 1754
36.4%
Lowercase Letter
ValueCountFrequency (%)
g 459
 
10.8%
p 401
 
9.4%
n 375
 
8.8%
a 367
 
8.6%
j 319
 
7.5%
i 306
 
7.2%
e 262
 
6.2%
o 231
 
5.4%
s 171
 
4.0%
m 161
 
3.8%
Other values (28) 1194
28.1%
Other Punctuation
ValueCountFrequency (%)
" 417
29.1%
. 359
25.0%
/ 359
25.0%
, 270
18.8%
' 9
 
0.6%
& 8
 
0.6%
; 4
 
0.3%
· 3
 
0.2%
2
 
0.1%
1
 
0.1%
Other values (2) 2
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 982
29.6%
1 818
24.7%
2 535
16.2%
3 243
 
7.3%
5 208
 
6.3%
4 171
 
5.2%
8 104
 
3.1%
7 90
 
2.7%
6 80
 
2.4%
9 80
 
2.4%
Math Symbol
ValueCountFrequency (%)
> 652
34.6%
< 652
34.6%
| 363
19.3%
= 199
 
10.6%
+ 15
 
0.8%
1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 215
97.3%
[ 4
 
1.8%
1
 
0.5%
{ 1
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 216
97.7%
] 4
 
1.8%
1
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 110
99.1%
1
 
0.9%
Final Punctuation
ValueCountFrequency (%)
6
66.7%
3
33.3%
Space Separator
ValueCountFrequency (%)
7917
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 433
100.0%
Initial Punctuation
ValueCountFrequency (%)
3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Currency Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27895
52.2%
Common 15546
29.1%
Latin 9044
 
16.9%
Han 871
 
1.6%
Katakana 58
 
0.1%
Cyrillic 14
 
< 0.1%
Hiragana 10
 
< 0.1%
Greek 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
761
 
2.7%
720
 
2.6%
695
 
2.5%
636
 
2.3%
511
 
1.8%
464
 
1.7%
463
 
1.7%
446
 
1.6%
419
 
1.5%
392
 
1.4%
Other values (772) 22388
80.3%
Han
ValueCountFrequency (%)
27
 
3.1%
27
 
3.1%
24
 
2.8%
15
 
1.7%
13
 
1.5%
13
 
1.5%
12
 
1.4%
12
 
1.4%
12
 
1.4%
10
 
1.1%
Other values (312) 706
81.1%
Latin
ValueCountFrequency (%)
g 459
 
5.1%
p 401
 
4.4%
A 378
 
4.2%
n 375
 
4.1%
a 367
 
4.1%
N 347
 
3.8%
E 346
 
3.8%
S 324
 
3.6%
C 320
 
3.5%
j 319
 
3.5%
Other values (66) 5408
59.8%
Common
ValueCountFrequency (%)
7917
50.9%
0 982
 
6.3%
1 818
 
5.3%
> 652
 
4.2%
< 652
 
4.2%
2 535
 
3.4%
_ 433
 
2.8%
" 417
 
2.7%
| 363
 
2.3%
. 359
 
2.3%
Other values (35) 2418
 
15.6%
Katakana
ValueCountFrequency (%)
7
 
12.1%
4
 
6.9%
3
 
5.2%
3
 
5.2%
3
 
5.2%
3
 
5.2%
3
 
5.2%
3
 
5.2%
2
 
3.4%
2
 
3.4%
Other values (20) 25
43.1%
Cyrillic
ValueCountFrequency (%)
А 2
14.3%
а 2
14.3%
Б 2
14.3%
М 2
14.3%
л 1
7.1%
ь 1
7.1%
з 1
7.1%
З 1
7.1%
Ь 1
7.1%
Л 1
7.1%
Hiragana
ValueCountFrequency (%)
2
20.0%
2
20.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
Greek
ValueCountFrequency (%)
α 3
37.5%
Ο 2
25.0%
Γ 1
 
12.5%
Λ 1
 
12.5%
Ρ 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27895
52.2%
ASCII 24508
45.9%
CJK 871
 
1.6%
None 76
 
0.1%
Katakana 58
 
0.1%
Cyrillic 14
 
< 0.1%
Punctuation 12
 
< 0.1%
Hiragana 10
 
< 0.1%
Currency Symbols 1
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7917
32.3%
0 982
 
4.0%
1 818
 
3.3%
> 652
 
2.7%
< 652
 
2.7%
2 535
 
2.2%
g 459
 
1.9%
_ 433
 
1.8%
" 417
 
1.7%
p 401
 
1.6%
Other values (74) 11242
45.9%
Hangul
ValueCountFrequency (%)
761
 
2.7%
720
 
2.6%
695
 
2.5%
636
 
2.3%
511
 
1.8%
464
 
1.7%
463
 
1.7%
446
 
1.6%
419
 
1.5%
392
 
1.4%
Other values (772) 22388
80.3%
CJK
ValueCountFrequency (%)
27
 
3.1%
27
 
3.1%
24
 
2.8%
15
 
1.7%
13
 
1.5%
13
 
1.5%
12
 
1.4%
12
 
1.4%
12
 
1.4%
10
 
1.1%
Other values (312) 706
81.1%
None
ValueCountFrequency (%)
7
 
9.2%
6
 
7.9%
4
 
5.3%
4
 
5.3%
4
 
5.3%
4
 
5.3%
3
 
3.9%
3
 
3.9%
3
 
3.9%
α 3
 
3.9%
Other values (27) 35
46.1%
Katakana
ValueCountFrequency (%)
7
 
12.1%
4
 
6.9%
3
 
5.2%
3
 
5.2%
3
 
5.2%
3
 
5.2%
3
 
5.2%
3
 
5.2%
2
 
3.4%
2
 
3.4%
Other values (20) 25
43.1%
Punctuation
ValueCountFrequency (%)
6
50.0%
3
25.0%
3
25.0%
Cyrillic
ValueCountFrequency (%)
А 2
14.3%
а 2
14.3%
Б 2
14.3%
М 2
14.3%
л 1
7.1%
ь 1
7.1%
з 1
7.1%
З 1
7.1%
Ь 1
7.1%
Л 1
7.1%
Hiragana
ValueCountFrequency (%)
2
20.0%
2
20.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
1
10.0%
Currency Symbols
ValueCountFrequency (%)
1
100.0%
Math Operators
ValueCountFrequency (%)
1
100.0%
Distinct2467
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size21.5 KiB
2023-12-12T07:56:30.500543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length458
Median length255
Mean length67.466715
Min length1

Characters and Unicode

Total characters184454
Distinct characters743
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2334 ?
Unique (%)85.4%

Sample

1st row이해관계자의 IPR 신청에서 실제 이해당사자인지 판단 여부는 PTAB의 결정이며 수정헌법 제7조의 배심원 재판 받을 권리가 있더라도 PTAB의 판단을 받을 수 있다고 판시한 사안
2nd row등록상표와 동일한 지정상품의 상표 유사성 및 합법적 출처에 대한 입증이 쟁점이 된 사례
3rd row지정상품 분류 및 관용상표 여부가 쟁점이 된 사례.
4th row상표 및 지정상품의 유사성과 손해배상액이 쟁점이 된 사례.
5th row쟁점상품이 상표권 침해상품인지 모르고 판매했을 경우, 합법적인 제품 출처를 입증할 수 있다면 손해배상 책임은 면책된 사례
ValueCountFrequency (%)
사례 2186
 
5.3%
사안 504
 
1.2%
487
 
1.2%
다룬 424
 
1.0%
관한 423
 
1.0%
상표권 411
 
1.0%
판시한 367
 
0.9%
대한 317
 
0.8%
침해 310
 
0.7%
297
 
0.7%
Other values (8456) 35901
86.2%
2023-12-12T07:56:31.015228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39002
 
21.1%
4654
 
2.5%
4058
 
2.2%
3913
 
2.1%
3824
 
2.1%
3570
 
1.9%
3363
 
1.8%
3229
 
1.8%
2952
 
1.6%
2907
 
1.6%
Other values (733) 112982
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 134303
72.8%
Space Separator 39002
 
21.1%
Lowercase Letter 5854
 
3.2%
Other Punctuation 1860
 
1.0%
Uppercase Letter 1789
 
1.0%
Decimal Number 892
 
0.5%
Close Punctuation 322
 
0.2%
Open Punctuation 321
 
0.2%
Dash Punctuation 37
 
< 0.1%
Initial Punctuation 37
 
< 0.1%
Other values (3) 37
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4654
 
3.5%
4058
 
3.0%
3913
 
2.9%
3824
 
2.8%
3570
 
2.7%
3363
 
2.5%
3229
 
2.4%
2952
 
2.2%
2907
 
2.2%
2715
 
2.0%
Other values (649) 99118
73.8%
Lowercase Letter
ValueCountFrequency (%)
e 695
11.9%
n 546
9.3%
t 538
 
9.2%
i 529
 
9.0%
a 469
 
8.0%
o 421
 
7.2%
r 375
 
6.4%
c 335
 
5.7%
s 329
 
5.6%
u 270
 
4.6%
Other values (16) 1347
23.0%
Uppercase Letter
ValueCountFrequency (%)
A 183
 
10.2%
C 146
 
8.2%
I 139
 
7.8%
P 134
 
7.5%
E 133
 
7.4%
T 118
 
6.6%
R 110
 
6.1%
L 110
 
6.1%
O 106
 
5.9%
D 102
 
5.7%
Other values (16) 508
28.4%
Decimal Number
ValueCountFrequency (%)
1 422
47.3%
2 170
19.1%
0 82
 
9.2%
3 78
 
8.7%
5 41
 
4.6%
4 25
 
2.8%
6 22
 
2.5%
7 20
 
2.2%
9 17
 
1.9%
8 15
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 1189
63.9%
. 555
29.8%
" 60
 
3.2%
: 18
 
1.0%
/ 10
 
0.5%
· 9
 
0.5%
& 8
 
0.4%
§ 6
 
0.3%
% 5
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 321
99.7%
1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 320
99.7%
1
 
0.3%
Initial Punctuation
ValueCountFrequency (%)
34
91.9%
3
 
8.1%
Final Punctuation
ValueCountFrequency (%)
30
93.8%
2
 
6.2%
Math Symbol
ValueCountFrequency (%)
> 2
50.0%
< 2
50.0%
Space Separator
ValueCountFrequency (%)
39002
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 134298
72.8%
Common 42507
 
23.0%
Latin 7644
 
4.1%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4654
 
3.5%
4058
 
3.0%
3913
 
2.9%
3824
 
2.8%
3570
 
2.7%
3363
 
2.5%
3229
 
2.4%
2952
 
2.2%
2907
 
2.2%
2715
 
2.0%
Other values (645) 99113
73.8%
Latin
ValueCountFrequency (%)
e 695
 
9.1%
n 546
 
7.1%
t 538
 
7.0%
i 529
 
6.9%
a 469
 
6.1%
o 421
 
5.5%
r 375
 
4.9%
c 335
 
4.4%
s 329
 
4.3%
u 270
 
3.5%
Other values (43) 3137
41.0%
Common
ValueCountFrequency (%)
39002
91.8%
, 1189
 
2.8%
. 555
 
1.3%
1 422
 
1.0%
) 321
 
0.8%
( 320
 
0.8%
2 170
 
0.4%
0 82
 
0.2%
3 78
 
0.2%
" 60
 
0.1%
Other values (21) 308
 
0.7%
Han
ValueCountFrequency (%)
2
40.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 134297
72.8%
ASCII 50064
 
27.1%
Punctuation 69
 
< 0.1%
None 17
 
< 0.1%
CJK 5
 
< 0.1%
Number Forms 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39002
77.9%
, 1189
 
2.4%
e 695
 
1.4%
. 555
 
1.1%
n 546
 
1.1%
t 538
 
1.1%
i 529
 
1.1%
a 469
 
0.9%
1 422
 
0.8%
o 421
 
0.8%
Other values (65) 5698
 
11.4%
Hangul
ValueCountFrequency (%)
4654
 
3.5%
4058
 
3.0%
3913
 
2.9%
3824
 
2.8%
3570
 
2.7%
3363
 
2.5%
3229
 
2.4%
2952
 
2.2%
2907
 
2.2%
2715
 
2.0%
Other values (644) 99112
73.8%
Punctuation
ValueCountFrequency (%)
34
49.3%
30
43.5%
3
 
4.3%
2
 
2.9%
None
ValueCountFrequency (%)
· 9
52.9%
§ 6
35.3%
1
 
5.9%
1
 
5.9%
CJK
ValueCountFrequency (%)
2
40.0%
1
20.0%
1
20.0%
1
20.0%
Number Forms
ValueCountFrequency (%)
1
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

관련특허번호
Text

MISSING 

Distinct1144
Distinct (%)90.9%
Missing1475
Missing (%)54.0%
Memory size21.5 KiB
2023-12-12T07:56:31.408075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length341
Median length211
Mean length74.786338
Min length1

Characters and Unicode

Total characters94156
Distinct characters749
Distinct categories14 ?
Distinct scripts7 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1048 ?
Unique (%)83.2%

Sample

1st rowMultimode controller for intelligent and “dumb” flash cards
2nd row生海苔異物分離除去置における生海苔の共回り防止置
3rd row円テブル置
4th rowMethod and system for incrementally moving teeth
5th row皮吸製,皮吸製保持シト,及び皮吸製保持用具
ValueCountFrequency (%)
and 668
 
5.8%
for 581
 
5.1%
of 413
 
3.6%
a 321
 
2.8%
method 251
 
2.2%
system 234
 
2.0%
with 133
 
1.2%
in 130
 
1.1%
apparatus 124
 
1.1%
the 115
 
1.0%
Other values (3548) 8492
74.1%
2023-12-12T07:56:32.001058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10208
 
10.8%
e 7554
 
8.0%
t 5947
 
6.3%
i 5891
 
6.3%
a 5879
 
6.2%
n 5693
 
6.0%
o 5514
 
5.9%
r 4856
 
5.2%
s 4333
 
4.6%
c 3077
 
3.3%
Other values (739) 35204
37.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 69979
74.3%
Space Separator 10208
 
10.8%
Uppercase Letter 7311
 
7.8%
Other Letter 4982
 
5.3%
Math Symbol 671
 
0.7%
Dash Punctuation 403
 
0.4%
Other Punctuation 291
 
0.3%
Decimal Number 198
 
0.2%
Open Punctuation 54
 
0.1%
Close Punctuation 53
 
0.1%
Other values (4) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
127
 
2.5%
118
 
2.4%
105
 
2.1%
105
 
2.1%
97
 
1.9%
90
 
1.8%
85
 
1.7%
78
 
1.6%
74
 
1.5%
64
 
1.3%
Other values (646) 4039
81.1%
Uppercase Letter
ValueCountFrequency (%)
E 661
 
9.0%
A 622
 
8.5%
S 561
 
7.7%
N 552
 
7.6%
I 545
 
7.5%
M 504
 
6.9%
T 473
 
6.5%
R 427
 
5.8%
O 419
 
5.7%
C 393
 
5.4%
Other values (21) 2154
29.5%
Lowercase Letter
ValueCountFrequency (%)
e 7554
10.8%
t 5947
 
8.5%
i 5891
 
8.4%
a 5879
 
8.4%
n 5693
 
8.1%
o 5514
 
7.9%
r 4856
 
6.9%
s 4333
 
6.2%
c 3077
 
4.4%
d 2994
 
4.3%
Other values (18) 18241
26.1%
Decimal Number
ValueCountFrequency (%)
1 47
23.7%
3 41
20.7%
2 39
19.7%
4 24
12.1%
6 13
 
6.6%
7 9
 
4.5%
5 8
 
4.0%
0 6
 
3.0%
9 6
 
3.0%
8 5
 
2.5%
Other Punctuation
ValueCountFrequency (%)
, 161
55.3%
/ 44
 
15.1%
33
 
11.3%
. 24
 
8.2%
' 16
 
5.5%
10
 
3.4%
% 2
 
0.7%
; 1
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
- 401
99.5%
1
 
0.2%
1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 48
88.9%
[ 5
 
9.3%
{ 1
 
1.9%
Close Punctuation
ValueCountFrequency (%)
) 48
90.6%
] 5
 
9.4%
Initial Punctuation
ValueCountFrequency (%)
1
50.0%
1
50.0%
Final Punctuation
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
10208
100.0%
Math Symbol
ValueCountFrequency (%)
| 671
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 77289
82.1%
Common 11884
 
12.6%
Han 3060
 
3.2%
Katakana 1279
 
1.4%
Hiragana 639
 
0.7%
Hangul 4
 
< 0.1%
Greek 1
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
127
 
4.2%
105
 
3.4%
105
 
3.4%
97
 
3.2%
78
 
2.5%
64
 
2.1%
49
 
1.6%
47
 
1.5%
41
 
1.3%
39
 
1.3%
Other values (530) 2308
75.4%
Katakana
ValueCountFrequency (%)
90
 
7.0%
74
 
5.8%
58
 
4.5%
54
 
4.2%
54
 
4.2%
49
 
3.8%
47
 
3.7%
46
 
3.6%
45
 
3.5%
43
 
3.4%
Other values (60) 719
56.2%
Latin
ValueCountFrequency (%)
e 7554
 
9.8%
t 5947
 
7.7%
i 5891
 
7.6%
a 5879
 
7.6%
n 5693
 
7.4%
o 5514
 
7.1%
r 4856
 
6.3%
s 4333
 
5.6%
c 3077
 
4.0%
d 2994
 
3.9%
Other values (48) 25551
33.1%
Hiragana
ValueCountFrequency (%)
118
18.5%
85
13.3%
45
 
7.0%
37
 
5.8%
35
 
5.5%
30
 
4.7%
29
 
4.5%
25
 
3.9%
20
 
3.1%
20
 
3.1%
Other values (32) 195
30.5%
Common
ValueCountFrequency (%)
10208
85.9%
| 671
 
5.6%
- 401
 
3.4%
, 161
 
1.4%
( 48
 
0.4%
) 48
 
0.4%
1 47
 
0.4%
/ 44
 
0.4%
3 41
 
0.3%
2 39
 
0.3%
Other values (24) 176
 
1.5%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Greek
ValueCountFrequency (%)
α 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 89118
94.6%
CJK 3060
 
3.2%
Katakana 1279
 
1.4%
Hiragana 639
 
0.7%
None 51
 
0.1%
Punctuation 5
 
< 0.1%
Hangul 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10208
 
11.5%
e 7554
 
8.5%
t 5947
 
6.7%
i 5891
 
6.6%
a 5879
 
6.6%
n 5693
 
6.4%
o 5514
 
6.2%
r 4856
 
5.4%
s 4333
 
4.9%
c 3077
 
3.5%
Other values (68) 30166
33.8%
CJK
ValueCountFrequency (%)
127
 
4.2%
105
 
3.4%
105
 
3.4%
97
 
3.2%
78
 
2.5%
64
 
2.1%
49
 
1.6%
47
 
1.5%
41
 
1.3%
39
 
1.3%
Other values (530) 2308
75.4%
Hiragana
ValueCountFrequency (%)
118
18.5%
85
13.3%
45
 
7.0%
37
 
5.8%
35
 
5.5%
30
 
4.7%
29
 
4.5%
25
 
3.9%
20
 
3.1%
20
 
3.1%
Other values (32) 195
30.5%
Katakana
ValueCountFrequency (%)
90
 
7.0%
74
 
5.8%
58
 
4.5%
54
 
4.2%
54
 
4.2%
49
 
3.8%
47
 
3.7%
46
 
3.6%
45
 
3.5%
43
 
3.4%
Other values (60) 719
56.2%
None
ValueCountFrequency (%)
33
64.7%
10
 
19.6%
ß 1
 
2.0%
α 1
 
2.0%
1
 
2.0%
1
 
2.0%
1
 
2.0%
1
 
2.0%
1
 
2.0%
1
 
2.0%
Punctuation
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Distinct128
Distinct (%)4.7%
Missing1
Missing (%)< 0.1%
Memory size21.5 KiB
2023-12-12T07:56:32.230932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length9.7233809
Min length3

Characters and Unicode

Total characters26574
Distinct characters54
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)1.8%

Sample

1st row항소인 패소(원심 원고)
2nd row항소인(원심 피고) 패소
3rd row항소인(원심 피고) 패소
4th row원고 일부 승소
5th row항소인(원심 원고) 패소
ValueCountFrequency (%)
원고 1572
21.9%
패소 1030
14.4%
승소 1004
14.0%
항소인(원심 759
10.6%
일부 548
 
7.6%
피고 546
 
7.6%
항소인 362
 
5.1%
원고승소 213
 
3.0%
원심 194
 
2.7%
원고패소 171
 
2.4%
Other values (67) 768
10.7%
2023-12-12T07:56:32.578131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4436
16.7%
3912
14.7%
3300
12.4%
2731
10.3%
1424
 
5.4%
1415
 
5.3%
1391
 
5.2%
( 1343
 
5.1%
) 1343
 
5.1%
1288
 
4.8%
Other values (44) 3991
15.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19375
72.9%
Space Separator 4436
 
16.7%
Open Punctuation 1343
 
5.1%
Close Punctuation 1343
 
5.1%
Other Punctuation 69
 
0.3%
Decimal Number 5
 
< 0.1%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3912
20.2%
3300
17.0%
2731
14.1%
1424
 
7.3%
1415
 
7.3%
1391
 
7.2%
1288
 
6.6%
1243
 
6.4%
675
 
3.5%
675
 
3.5%
Other values (35) 1321
 
6.8%
Uppercase Letter
ValueCountFrequency (%)
E 1
33.3%
C 1
33.3%
J 1
33.3%
Decimal Number
ValueCountFrequency (%)
3 3
60.0%
1 2
40.0%
Space Separator
ValueCountFrequency (%)
4436
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1343
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1343
100.0%
Other Punctuation
ValueCountFrequency (%)
, 69
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19375
72.9%
Common 7196
 
27.1%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3912
20.2%
3300
17.0%
2731
14.1%
1424
 
7.3%
1415
 
7.3%
1391
 
7.2%
1288
 
6.6%
1243
 
6.4%
675
 
3.5%
675
 
3.5%
Other values (35) 1321
 
6.8%
Common
ValueCountFrequency (%)
4436
61.6%
( 1343
 
18.7%
) 1343
 
18.7%
, 69
 
1.0%
3 3
 
< 0.1%
1 2
 
< 0.1%
Latin
ValueCountFrequency (%)
E 1
33.3%
C 1
33.3%
J 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19375
72.9%
ASCII 7199
 
27.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4436
61.6%
( 1343
 
18.7%
) 1343
 
18.7%
, 69
 
1.0%
3 3
 
< 0.1%
1 2
 
< 0.1%
E 1
 
< 0.1%
C 1
 
< 0.1%
J 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
3912
20.2%
3300
17.0%
2731
14.1%
1424
 
7.3%
1415
 
7.3%
1391
 
7.2%
1288
 
6.6%
1243
 
6.4%
675
 
3.5%
675
 
3.5%
Other values (35) 1321
 
6.8%

판결구분
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size21.5 KiB
판결
2402 
판결서
 
198
재정
 
90
결정
 
28
<NA>
 
15

Length

Max length4
Median length2
Mean length2.0837601
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row판결
2nd row<NA>
3rd row<NA>
4th row판결
5th row<NA>

Common Values

ValueCountFrequency (%)
판결 2402
87.9%
판결서 198
 
7.2%
재정 90
 
3.3%
결정 28
 
1.0%
<NA> 15
 
0.5%
재정서 1
 
< 0.1%

Length

2023-12-12T07:56:32.751676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:56:32.874714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
판결 2402
87.9%
판결서 198
 
7.2%
재정 90
 
3.3%
결정 28
 
1.0%
na 15
 
0.5%
재정서 1
 
< 0.1%

본문링크(URL)
Text

UNIQUE 

Distinct2734
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size21.5 KiB
2023-12-12T07:56:33.148364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length66
Mean length66
Min length66

Characters and Unicode

Total characters180444
Distinct characters43
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

Unique2734 ?
Unique (%)100.0%

Sample

1st rowhttp://www.ip-navi.or.kr/biblio/biblioDetail.navi?caseId=US1510161
2nd rowhttp://www.ip-navi.or.kr/biblio/biblioDetail.navi?caseId=CN1530050
3rd rowhttp://www.ip-navi.or.kr/biblio/biblioDetail.navi?caseId=CN1530049
4th rowhttp://www.ip-navi.or.kr/biblio/biblioDetail.navi?caseId=CN1530009
5th rowhttp://www.ip-navi.or.kr/biblio/biblioDetail.navi?caseId=CN1530048
ValueCountFrequency (%)
http://www.ip-navi.or.kr/biblio/bibliodetail.navi?caseid=us1510161 1
 
< 0.1%
http://www.ip-navi.or.kr/biblio/bibliodetail.navi?caseid=cn1420035 1
 
< 0.1%
http://www.ip-navi.or.kr/biblio/bibliodetail.navi?caseid=cn1410001 1
 
< 0.1%
http://www.ip-navi.or.kr/biblio/bibliodetail.navi?caseid=cn1420045 1
 
< 0.1%
http://www.ip-navi.or.kr/biblio/bibliodetail.navi?caseid=uk1420161 1
 
< 0.1%
http://www.ip-navi.or.kr/biblio/bibliodetail.navi?caseid=cn1420051 1
 
< 0.1%
http://www.ip-navi.or.kr/biblio/bibliodetail.navi?caseid=us1320074 1
 
< 0.1%
http://www.ip-navi.or.kr/biblio/bibliodetail.navi?caseid=us1320102 1
 
< 0.1%
http://www.ip-navi.or.kr/biblio/bibliodetail.navi?caseid=us1320196 1
 
< 0.1%
http://www.ip-navi.or.kr/biblio/bibliodetail.navi?caseid=us1320221 1
 
< 0.1%
Other values (2724) 2724
99.6%
2023-12-12T07:56:33.624851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 21872
 
12.1%
a 10936
 
6.1%
b 10936
 
6.1%
/ 10936
 
6.1%
. 10936
 
6.1%
l 8202
 
4.5%
w 8202
 
4.5%
o 8202
 
4.5%
t 8202
 
4.5%
v 5468
 
3.0%
Other values (33) 76552
42.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 117562
65.2%
Other Punctuation 27340
 
15.2%
Decimal Number 19138
 
10.6%
Uppercase Letter 10936
 
6.1%
Math Symbol 2734
 
1.5%
Dash Punctuation 2734
 
1.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 21872
18.6%
a 10936
9.3%
b 10936
9.3%
l 8202
 
7.0%
w 8202
 
7.0%
o 8202
 
7.0%
t 8202
 
7.0%
v 5468
 
4.7%
r 5468
 
4.7%
n 5468
 
4.7%
Other values (7) 24606
20.9%
Decimal Number
ValueCountFrequency (%)
1 5247
27.4%
0 4790
25.0%
4 2214
11.6%
3 2107
11.0%
2 2047
 
10.7%
5 868
 
4.5%
6 553
 
2.9%
7 459
 
2.4%
9 438
 
2.3%
8 415
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
D 2927
26.8%
I 2734
25.0%
U 1371
12.5%
S 1184
10.8%
C 816
 
7.5%
N 816
 
7.5%
P 354
 
3.2%
J 354
 
3.2%
E 193
 
1.8%
K 187
 
1.7%
Other Punctuation
ValueCountFrequency (%)
/ 10936
40.0%
. 10936
40.0%
: 2734
 
10.0%
? 2734
 
10.0%
Math Symbol
ValueCountFrequency (%)
= 2734
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2734
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 128498
71.2%
Common 51946
28.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 21872
17.0%
a 10936
 
8.5%
b 10936
 
8.5%
l 8202
 
6.4%
w 8202
 
6.4%
o 8202
 
6.4%
t 8202
 
6.4%
v 5468
 
4.3%
r 5468
 
4.3%
n 5468
 
4.3%
Other values (17) 35542
27.7%
Common
ValueCountFrequency (%)
/ 10936
21.1%
. 10936
21.1%
1 5247
10.1%
0 4790
9.2%
= 2734
 
5.3%
- 2734
 
5.3%
: 2734
 
5.3%
? 2734
 
5.3%
4 2214
 
4.3%
3 2107
 
4.1%
Other values (6) 4780
9.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 180444
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 21872
 
12.1%
a 10936
 
6.1%
b 10936
 
6.1%
/ 10936
 
6.1%
. 10936
 
6.1%
l 8202
 
4.5%
w 8202
 
4.5%
o 8202
 
4.5%
t 8202
 
4.5%
v 5468
 
3.0%
Other values (33) 76552
42.4%

Correlations

2023-12-12T07:56:33.745397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법원국가판결구분
법원국가1.0000.627
판결구분0.6271.000
2023-12-12T07:56:33.852870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
판결구분법원국가
판결구분1.0000.278
법원국가0.2781.000
2023-12-12T07:56:33.933862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법원국가판결구분
법원국가1.0000.278
판결구분0.2781.000

Missing values

2023-12-12T07:56:22.983680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T07:56:23.255441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-12T07:56:23.449813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

사건명사건번호원고명피고명법원명법원국가판결일IPC코드분류쟁점기술요약제목관련특허번호판결결과판결구분본문링크(URL)
0엠씨엠 포트폴리오 엘엘씨 대 휴렛 패커CAFC-2015-1091MCM PORTFOLIO LLCHEWLETT-PACKARD COMPANY미연방순회항소법원미국2015-12-02G06F,G11C인텔리전트 멀티컨트롤러와 덤 플래쉬 카드이해관계자의 IPR 신청에서 실제 이해당사자인지 판단 여부는 PTAB의 결정이며 수정헌법 제7조의 배심원 재판 받을 권리가 있더라도 PTAB의 판단을 받을 수 있다고 판시한 사안Multimode controller for intelligent and “dumb” flash cards항소인 패소(원심 원고)판결http://www.ip-navi.or.kr/biblio/biblioDetail.navi?caseId=US1510161
1중바이 하이퍼마켓 유한공사 창칭루 쇼핑센터, 중바이 하이퍼마켓 유한공사 vs. 광둥 아오페이 애니메이션 컬처 주식유한공사(Alpha Animation & Culture)의 상표권 침해 분쟁사건(2015)鄂民三字第00611중바이 하이퍼마켓 유한공사 창칭루 쇼핑센터|중바이 하이퍼마켓 유한공사광둥 아오페이 애니메이션 컬처 주식유한공사(Alpha Animation and Culture)후베이성 고급인민법원중국2015-11-25<NA>甲勇士(갑옷용사) vs. 甲神(갑옷 전쟁의 신)등록상표와 동일한 지정상품의 상표 유사성 및 합법적 출처에 대한 입증이 쟁점이 된 사례<NA>항소인(원심 피고) 패소<NA>http://www.ip-navi.or.kr/biblio/biblioDetail.navi?caseId=CN1530050
2후베이 진텐안 의약업 유한공사 후이민 대형약국 vs. 저장 캉언베이 제약 주식유한공사의 상표권 침해 분쟁사건(2015)鄂民三字第00620후베이 진텐안 의약업 유한공사 후이민 대형약국|후베이 진텐안 의약업 유한공사저장 캉언베이 제약 주식유한공사후베이성 고급인민법원중국2015-11-23<NA>前列康지정상품 분류 및 관용상표 여부가 쟁점이 된 사례.<NA>항소인(원심 피고) 패소<NA>http://www.ip-navi.or.kr/biblio/biblioDetail.navi?caseId=CN1530049
3이빈 우량예 주식유한공사 vs. 우저우시 창저우구 리신위안 상가의 상표권 침해 분쟁사건(2015)京知民字第1593이빈 우량예 주식유한공사우저우시 창저우구 리신위안 상가광시좡족자치구 난닝시 중급인민법원중국2015-11-22<NA>五粮液(우량예)<그림>CN1530009_01.jpg</그림>상표 및 지정상품의 유사성과 손해배상액이 쟁점이 된 사례.<NA>원고 일부 승소판결http://www.ip-navi.or.kr/biblio/biblioDetail.navi?caseId=CN1530009
4선전 레이보 과학기술 주식유한공사 vs. 베이징 둥팡저 솽룽순 마트 유한공사의 상표권 침해 분쟁사건(2015)京知民字第1593선전 레이보 과학기술 주식유한공사베이징 둥팡저 솽룽순 마트 유한공사베이징 지식산권법원중국2015-11-20<NA>雷柏, ΓΛΡΟΟ쟁점상품이 상표권 침해상품인지 모르고 판매했을 경우, 합법적인 제품 출처를 입증할 수 있다면 손해배상 책임은 면책된 사례<NA>항소인(원심 원고) 패소<NA>http://www.ip-navi.or.kr/biblio/biblioDetail.navi?caseId=CN1530048
5상표권에 기한 금지등청구사건平成27(ワ)27주식회사 DHC다이사쿠상사주식회사도쿄지방재판소일본2015-11-13<NA>디에이치씨-디에스상표권자의 권리행사가 권리남용에 해당하여 허용되지 않는다고 판시한 사례<NA>청구 기각(원고 패소)판결http://www.ip-navi.or.kr/biblio/biblioDetail.navi?caseId=JP1530052
6특허권침해금지등청구항소사건平成27(ネ)10048等훌타전기주식회사와타나베기계공업주식회사지적재산고등재판소일본2015-11-12A23L생김 이물 분리 제거 장치에서 생김의 공회전 방지 장치등록발명의 구성요건을 모두 충족하여 특허권 침해에 해당한다고 판시한 사례生海苔異物分離除去置における生海苔の共回り防止置항소 일부 인용(원고 일부 승소)판결http://www.ip-navi.or.kr/biblio/biblioDetail.navi?caseId=JP1510049
7특허권침해금지등청구항소사건平成27(ネ)10076주식회사 닛켄 공작소츠다코마공업주식회사지적재산고등재판소일본2015-11-12B23Q원형 테이블 장치문언침해, 균등침해에 해당하지 않아 특허침해가 불인정된다고 판시한 사례円テブル置항소 기각판결http://www.ip-navi.or.kr/biblio/biblioDetail.navi?caseId=JP1510050
8부정경쟁행위금지등청구사건平成26(ワ)25645주식회사 METEX주식회사 아오야기 코퍼레이션도쿄지방재판소일본2015-11-11<NA>방재용 캐리백상품의 유사성과 계쟁 상표의 주지성이 인정되지 않아 부정경쟁방지법 위반이 인정되지 않는다고 판시한 사례<NA>청구 기각(원고 패소)판결http://www.ip-navi.or.kr/biblio/biblioDetail.navi?caseId=JP1530051
9클리어코렉트 오퍼레이팅 대 미국 국제무역위원회CAFC-2014-1527ClearCorrect Operating, LLCInternational Trade Commission미연방순회항소법원미국2015-11-10A61C점증 치아 이동방법전자적으로 전송된 디지털 데이터는 제377조 수입금지 조치의 대상으로 볼 수 없다고 판시한 사안Method and system for incrementally moving teeth항소인(원심 피고) 승소판결http://www.ip-navi.or.kr/biblio/biblioDetail.navi?caseId=US1510160
사건명사건번호원고명피고명법원명법원국가판결일IPC코드분류쟁점기술요약제목관련특허번호판결결과판결구분본문링크(URL)
2724청두리쓰터제약주식회사와 안쓰타이라이제약주식회사의 발명특허권 침해 분쟁 항소사건(2011)高民字第1711청두리쓰터제약주식회사안쓰타이라이제약주식회사베이징시고급인민법원중국2012-03-02C07D4벤젠하이드로겐과 이미다졸 유도체의 제조방법제조방법발명의 보호 범위가 쟁점이 된 사안.四衍生物항소인(원심 피고) 승소판결서http://www.ip-navi.or.kr/biblio/biblioDetail.navi?caseId=CN1310087
2725커후이중과 취안저우시저우신다자동차부품유한회사의 실용신안특허권 침해 분쟁 항소사건(2012)民字第33커후이중취안저우시저우신다자동차부품유한회사푸젠성고급인민법원중국2012-03-02F16B위치 측정 조합식 타이어 너트구성요소 완비의 법칙 및 이용침해 여부가 쟁점이 된 사안.定位合式胎螺母항소인(원심 원고) 일부 승소판결서http://www.ip-navi.or.kr/biblio/biblioDetail.navi?caseId=CN1310090
2726마이스페이스 주식회사 대 그래프온 주식회사672 F.3d 1250마이스페이스 주식회사|폭스 오디언스 네트워크 주식회사|크래익스 주식회사그래프온 주식회사미연방순회항소법원미국2012-03-02G06F자동화된 온라인 정보 서비스 및 디렉토리, 특히 WWW용특허성 여부를 판단함에 있어 다른 특허 요건을 뒤로하고 특허법 제101조를 먼저 판단할 필요는 없다고 하며, 원심법원의 청구항 해석에 따라 신규성, 진보성이 없어 특허발명이 무효라고 한 사안Automated on-line information service and directory, particularly for the world wide web|Automated on-line information service and directory, particularly for the world wide web|Method and apparatus for providing a dynamically-updating pay-for-service web site항소인(원심 피고) 패소판결http://www.ip-navi.or.kr/biblio/biblioDetail.navi?caseId=US1210007
2727셀렉트 컴포트 주식회사 대 슬립 베러 스토어 유한책임회사838 F.Supp.2d 889셀렉트 컴포트 주식회사슬립 베러 스토어 유한책임회사미네소타 지방법원미국2012-03-02<NA>Sleep Number원고인이 피고인을 대상으로 상표침해, 불공정경쟁 등의 청구취지로 소송을 제기하였고, 이에 피고가 불법적 간섭을 이유로 반소로 맞선 상황에서 원고가 피고의 반소에 대한 기각을 신청한 사안으로 법원은 불법적 간섭이 없다는 취지로 원고의 신청을 받아들이면서 원고승소한 사례<NA>원고 승소판결http://www.ip-navi.or.kr/biblio/biblioDetail.navi?caseId=US1320276
2728모로칸오일 주식회사 대 올스테이트 뷰티 프러덕츠 주식회사847 F.Supp.2d 1197모로칸오일 주식회사올스테이트 뷰티 프러덕츠 주식회사캘리포니아 중앙 지방법원미국2012-03-02<NA>MOROCCANOIL상표침해를 이유로 하는 소에서 궐석판결을 내리기 위하여 Eitel 요소를 검토한 바 원고의 주장을 인용하여 궐석판결을 내림<NA>원고 승소판결http://www.ip-navi.or.kr/biblio/biblioDetail.navi?caseId=US1320277
2729우한유얼생물과학기술주식회사와 우한이아이보과학기술유한회사의 상표권 침해 분쟁 소송사건(2011)知初字第1우한유얼생물과학기술주식회사우한이아이보과학기술유한회사후베이성우한시둥후신기술개발구인민법원중국2012-03-01<NA><그림 정렬="">2011dongkaizhi1_100.jpg</그림>,<그림 정렬="">2011dongkaizhi1_200.jpg</그림>상표권 침해 분쟁 사안에서 양 상표의 유사 여부가 쟁점이 된 사안.<NA>원고 승소판결서http://www.ip-navi.or.kr/biblio/biblioDetail.navi?caseId=CN1320095
2730데이 주식회사 대 세프라코 주식회사847 F.Supp.2d 541데이 주식회사 등세프라코 주식회사뉴욕 남부 지방법원미국2012-03-01C07C,A61K,A61L,A61P기관지를 확장하는 성분 및 방법특허침해소송에서 피고가 부분약식판결을 신청한 사안으로 법원은 특허유효성에 관하여 특허권자인 원고의 입증이 불충분하다고하여 미연방 특허법 제102(b)) 및 미연방특허법 제 252 조 등의 쟁점사항에서 원고패소한 사례Formoterol process|Bronchodilating compositions and methods|Bronchodilating compositions and methods원고 패소판결http://www.ip-navi.or.kr/biblio/biblioDetail.navi?caseId=US1310199
2731빈 대 빈856 F.Supp.2d 280글렌 엘. 빈알란 에프. 빈|미 테크놀로지스 유한책임회사뉴햄프셔 지방법원미국2012-03-01B01J,B05D,B22F,C23C,H01L,C25D고유한 성질을 가지는 코팅된 입자의 제조 방법 및 코팅된 입자를 객체에 적용하는 방법공동특허의 공동발명자이자 공동소유권자간의 소송으로 한국특허법상의 공동발명에 관한 사항과 미국특허법상의 공동발명에 관한 사항과의 차이점을 알 수 있는 사례Methods of manufacturing coated particles having desired values of intrinsic properties and methods of applying the coated particles to objects원고 일부 승소판결http://www.ip-navi.or.kr/biblio/biblioDetail.navi?caseId=US1310200
2732산둥진마서우장식재료유한회사와 후리궈의 상표권 침해 분쟁 소송사건(2012)中民三初字第2산둥진마서우장식재료유한회사후리궈후난성장자제시중급인민법원중국2012-02-29<NA><그림 정렬="">2012zhangzhongminsan2_100.jpg</그림>등록상표와 유사한 상호 사용이 상표권 침해를 구성하는지가 쟁점이 된 사안.<NA>원고 승소판결서http://www.ip-navi.or.kr/biblio/biblioDetail.navi?caseId=CN1320096
2733샹탄시커다리실업유한회사와 항저우베이커유리섬유강화플라스틱제품유한회사의 지식재산권 분쟁 소송사건(2012)浙知字第20샹탄시커다리실업유한회사항저우베이커유리섬유강화플라스틱제품유한회사저장성고급인민법원중국2012-02-29G01F표준모듈 조합식 다규격 가스보일러케이스실시행위가 특허권의 보호범위에 속하지 않으면 침해가 성립할 여지가 없다는 사례<NA>항소인(원심 원고) 패소판결http://www.ip-navi.or.kr/biblio/biblioDetail.navi?caseId=CN1410089