Overview

Dataset statistics

Number of variables11
Number of observations10000
Missing cells20
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory957.0 KiB
Average record size in memory98.0 B

Variable types

Numeric2
Categorical2
Text5
DateTime2

Dataset

Description국내외(미국,중국,일본,유럽,한국,기타국가,국제기구 등) 지식재산동향 뉴스 및 심층분석(특별이슈) 자료입니다.
URLhttps://www.data.go.kr/data/15090852/fileData.do

Alerts

번호 is highly overall correlated with 발행년도High correlation
발행년도 is highly overall correlated with 번호High correlation
기관구분 is highly imbalanced (53.2%)Imbalance
번호 has unique valuesUnique
인터넷주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:44:02.596311
Analysis finished2023-12-12 14:44:05.309858
Duration2.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13871.64
Minimum1587
Maximum22158
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T23:44:05.381438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1587
5-th percentile4009.15
Q19992.75
median14367.5
Q318274.25
95-th percentile21397.05
Maximum22158
Range20571
Interquartile range (IQR)8281.5

Descriptive statistics

Standard deviation5276.4043
Coefficient of variation (CV)0.3803735
Kurtosis-0.72978595
Mean13871.64
Median Absolute Deviation (MAD)4099
Skewness-0.38880193
Sum1.387164 × 108
Variance27840443
MonotonicityNot monotonic
2023-12-12T23:44:05.606580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13570 1
 
< 0.1%
10925 1
 
< 0.1%
15152 1
 
< 0.1%
15179 1
 
< 0.1%
19433 1
 
< 0.1%
16396 1
 
< 0.1%
16641 1
 
< 0.1%
15065 1
 
< 0.1%
17983 1
 
< 0.1%
17410 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1587 1
< 0.1%
1589 1
< 0.1%
1590 1
< 0.1%
1600 1
< 0.1%
1601 1
< 0.1%
1605 1
< 0.1%
1606 1
< 0.1%
1609 1
< 0.1%
1613 1
< 0.1%
1615 1
< 0.1%
ValueCountFrequency (%)
22158 1
< 0.1%
22157 1
< 0.1%
22153 1
< 0.1%
22152 1
< 0.1%
22151 1
< 0.1%
22150 1
< 0.1%
22148 1
< 0.1%
22145 1
< 0.1%
22144 1
< 0.1%
22139 1
< 0.1%

구분
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일본
2396 
미국
2300 
중국
2158 
유럽
1318 
기타
707 
Other values (2)
1121 

Length

Max length4
Median length2
Mean length2.0866
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일본 2396
24.0%
미국 2300
23.0%
중국 2158
21.6%
유럽 1318
13.2%
기타 707
 
7.1%
한국 688
 
6.9%
국제기구 433
 
4.3%

Length

2023-12-12T23:44:05.797677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:44:05.968523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일본 2396
24.0%
미국 2300
23.0%
중국 2158
21.6%
유럽 1318
13.2%
기타 707
 
7.1%
한국 688
 
6.9%
국제기구 433
 
4.3%

제목
Text

Distinct9961
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T23:44:06.401387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length93
Median length70
Mean length35.7272
Min length6

Characters and Unicode

Total characters357272
Distinct characters1164
Distinct categories17 ?
Distinct scripts5 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9932 ?
Unique (%)99.3%

Sample

1st row미국 특허상표청, 「인도주의를 위한 특허 프로그램」을 정규 사업으로 추진
2nd row일본 특허청, 지식재산권 세미나 등 행사 일정표 갱신
3rd row미국 Patently-O, 출원인 규모별 가출원 동향 발표
4th row중국 과학원 니광난 원사 등, 저작권법을 통한 중국어 폰트의 보호 강화방안 논의
5th row유럽디지털권리단체, 위조품의 거래방지에 관한 협정 관련 G8의 제안 소개
ValueCountFrequency (%)
발표 2561
 
3.2%
일본 2258
 
2.8%
중국 2164
 
2.7%
미국 2112
 
2.6%
특허청 1521
 
1.9%
지식재산권 1012
 
1.2%
개최 964
 
1.2%
특허 811
 
1.0%
위한 796
 
1.0%
관한 785
 
1.0%
Other values (18804) 66136
81.5%
2023-12-12T23:44:07.260060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
72147
 
20.2%
, 9878
 
2.8%
국 8435
 
2.4%
지 6165
 
1.7%
허 5253
 
1.5%
특 5239
 
1.5%
산 5138
 
1.4%
표 4747
 
1.3%
의 4387
 
1.2%
식 4223
 
1.2%
Other values (1154) 231660
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 236027
66.1%
Space Separator 72147
 
20.2%
Lowercase Letter 13232
 
3.7%
Other Punctuation 11105
 
3.1%
Decimal Number 9509
 
2.7%
Uppercase Letter 8986
 
2.5%
Close Punctuation 1984
 
0.6%
Open Punctuation 1982
 
0.6%
Initial Punctuation 943
 
0.3%
Final Punctuation 938
 
0.3%
Other values (7) 419
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 8435
 
3.6%
지 6165
 
2.6%
허 5253
 
2.2%
특 5239
 
2.2%
산 5138
 
2.2%
표 4747
 
2.0%
의 4387
 
1.9%
식 4223
 
1.8%
재 3863
 
1.6%
발 3621
 
1.5%
Other values (1046) 184956
78.4%
Lowercase Letter
ValueCountFrequency (%)
e 1652
12.5%
a 1295
9.8%
n 1201
9.1%
t 1182
8.9%
o 1109
 
8.4%
i 1035
 
7.8%
r 837
 
6.3%
l 815
 
6.2%
s 689
 
5.2%
c 467
 
3.5%
Other values (16) 2950
22.3%
Uppercase Letter
ValueCountFrequency (%)
P 1224
13.6%
I 958
 
10.7%
A 695
 
7.7%
T 656
 
7.3%
O 565
 
6.3%
S 560
 
6.2%
C 547
 
6.1%
E 419
 
4.7%
M 379
 
4.2%
R 375
 
4.2%
Other values (16) 2608
29.0%
Other Punctuation
ValueCountFrequency (%)
, 9878
89.0%
· 441
 
4.0%
& 165
 
1.5%
? 107
 
1.0%
; 99
 
0.9%
# 98
 
0.9%
. 92
 
0.8%
' 90
 
0.8%
% 45
 
0.4%
: 37
 
0.3%
Other values (8) 53
 
0.5%
Decimal Number
ValueCountFrequency (%)
2 2390
25.1%
0 2367
24.9%
1 2011
21.1%
3 587
 
6.2%
5 495
 
5.2%
9 420
 
4.4%
8 347
 
3.6%
4 331
 
3.5%
7 282
 
3.0%
6 279
 
2.9%
Math Symbol
ValueCountFrequency (%)
~ 15
50.0%
+ 11
36.7%
× 2
 
6.7%
< 1
 
3.3%
> 1
 
3.3%
Close Punctuation
ValueCountFrequency (%)
」 1208
60.9%
) 585
29.5%
] 179
 
9.0%
』 12
 
0.6%
Open Punctuation
ValueCountFrequency (%)
「 1206
60.8%
( 585
29.5%
[ 179
 
9.0%
『 12
 
0.6%
Letter Number
ValueCountFrequency (%)
Ⅰ 4
50.0%
Ⅱ 3
37.5%
Ⅸ 1
 
12.5%
Initial Punctuation
ValueCountFrequency (%)
‘ 897
95.1%
“ 46
 
4.9%
Final Punctuation
ValueCountFrequency (%)
’ 896
95.5%
” 42
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 347
99.7%
－ 1
 
0.3%
Modifier Symbol
ValueCountFrequency (%)
˝ 24
92.3%
` 2
 
7.7%
Space Separator
ValueCountFrequency (%)
72147
100.0%
Other Symbol
ValueCountFrequency (%)
□ 3
100.0%
Control
ValueCountFrequency (%)
2
100.0%
Currency Symbol
ValueCountFrequency (%)
￡ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 234323
65.6%
Common 99019
27.7%
Latin 22226
 
6.2%
Han 1703
 
0.5%
Hiragana 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 8435
 
3.6%
지 6165
 
2.6%
허 5253
 
2.2%
특 5239
 
2.2%
산 5138
 
2.2%
표 4747
 
2.0%
의 4387
 
1.9%
식 4223
 
1.8%
재 3863
 
1.6%
발 3621
 
1.5%
Other values (858) 183252
78.2%
Han
ValueCountFrequency (%)
社 1219
71.6%
美 60
 
3.5%
市 36
 
2.1%
州 27
 
1.6%
省 22
 
1.3%
中 19
 
1.1%
日 16
 
0.9%
新 12
 
0.7%
南 10
 
0.6%
海 9
 
0.5%
Other values (177) 273
 
16.0%
Latin
ValueCountFrequency (%)
e 1652
 
7.4%
a 1295
 
5.8%
P 1224
 
5.5%
n 1201
 
5.4%
t 1182
 
5.3%
o 1109
 
5.0%
i 1035
 
4.7%
I 958
 
4.3%
r 837
 
3.8%
l 815
 
3.7%
Other values (45) 10918
49.1%
Common
ValueCountFrequency (%)
72147
72.9%
, 9878
 
10.0%
2 2390
 
2.4%
0 2367
 
2.4%
1 2011
 
2.0%
」 1208
 
1.2%
「 1206
 
1.2%
‘ 897
 
0.9%
’ 896
 
0.9%
3 587
 
0.6%
Other values (43) 5432
 
5.5%
Hiragana
ValueCountFrequency (%)
の 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 234219
65.6%
ASCII 116429
32.6%
None 2890
 
0.8%
Punctuation 1891
 
0.5%
CJK 1700
 
0.5%
Compat Jamo 104
 
< 0.1%
Modifier Letters 24
 
< 0.1%
Number Forms 8
 
< 0.1%
Geometric Shapes 3
 
< 0.1%
CJK Compat Ideographs 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
72147
62.0%
, 9878
 
8.5%
2 2390
 
2.1%
0 2367
 
2.0%
1 2011
 
1.7%
e 1652
 
1.4%
a 1295
 
1.1%
P 1224
 
1.1%
n 1201
 
1.0%
t 1182
 
1.0%
Other values (77) 21082
 
18.1%
Hangul
ValueCountFrequency (%)
국 8435
 
3.6%
지 6165
 
2.6%
허 5253
 
2.2%
특 5239
 
2.2%
산 5138
 
2.2%
표 4747
 
2.0%
의 4387
 
1.9%
식 4223
 
1.8%
재 3863
 
1.6%
발 3621
 
1.5%
Other values (857) 183148
78.2%
CJK
ValueCountFrequency (%)
社 1219
71.7%
美 60
 
3.5%
市 36
 
2.1%
州 27
 
1.6%
省 22
 
1.3%
中 19
 
1.1%
日 16
 
0.9%
新 12
 
0.7%
南 10
 
0.6%
海 9
 
0.5%
Other values (174) 270
 
15.9%
None
ValueCountFrequency (%)
」 1208
41.8%
「 1206
41.7%
· 441
 
15.3%
』 12
 
0.4%
『 12
 
0.4%
： 3
 
0.1%
＆ 2
 
0.1%
￡ 2
 
0.1%
× 2
 
0.1%
－ 1
 
< 0.1%
Punctuation
ValueCountFrequency (%)
‘ 897
47.4%
’ 896
47.4%
“ 46
 
2.4%
” 42
 
2.2%
… 10
 
0.5%
Compat Jamo
ValueCountFrequency (%)
ㆍ 104
100.0%
Modifier Letters
ValueCountFrequency (%)
˝ 24
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 4
50.0%
Ⅱ 3
37.5%
Ⅸ 1
 
12.5%
Geometric Shapes
ValueCountFrequency (%)
□ 3
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
年 1
33.3%
金 1
33.3%
茶 1
33.3%
Hiragana
ValueCountFrequency (%)
の 1
100.0%

기관구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
공공
7960 
민간
2026 
추후등록예정
 
14

Length

Max length6
Median length2
Mean length2.0056
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공공
2nd row공공
3rd row공공
4th row공공
5th row공공

Common Values

ValueCountFrequency (%)
공공 7960
79.6%
민간 2026
 
20.3%
추후등록예정 14
 
0.1%

Length

2023-12-12T23:44:07.436601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:44:07.561680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공 7960
79.6%
민간 2026
 
20.3%
추후등록예정 14
 
0.1%

주체기관
Text

Distinct2991
Distinct (%)29.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T23:44:07.824317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length29
Mean length7.8468
Min length2

Characters and Unicode

Total characters78468
Distinct characters623
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2247 ?
Unique (%)22.5%

Sample

1st row미국 특허상표청
2nd row일본특허청
3rd rowPatently-O
4th row중국과학원
5th row유럽디지털권리단체
ValueCountFrequency (%)
일본 1379
 
8.6%
중국 1363
 
8.5%
미국 1196
 
7.5%
특허청 1081
 
6.8%
유럽 494
 
3.1%
국가지식산권국 448
 
2.8%
지식재산청 412
 
2.6%
특허상표청 352
 
2.2%
세계지식재산권기구 253
 
1.6%
일본특허청 229
 
1.4%
Other values (2895) 8745
54.8%
2023-12-12T23:44:08.255456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 6341
 
8.1%
6011
 
7.7%
청 2763
 
3.5%
산 2277
 
2.9%
허 2164
 
2.8%
특 2155
 
2.7%
중 2068
 
2.6%
일 2048
 
2.6%
지 2023
 
2.6%
본 1993
 
2.5%
Other values (613) 48625
62.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63078
80.4%
Lowercase Letter 6569
 
8.4%
Space Separator 6011
 
7.7%
Uppercase Letter 2499
 
3.2%
Other Punctuation 104
 
0.1%
Dash Punctuation 91
 
0.1%
Decimal Number 89
 
0.1%
Open Punctuation 12
 
< 0.1%
Close Punctuation 12
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 6341
 
10.1%
청 2763
 
4.4%
산 2277
 
3.6%
허 2164
 
3.4%
특 2155
 
3.4%
중 2068
 
3.3%
일 2048
 
3.2%
지 2023
 
3.2%
본 1993
 
3.2%
식 1737
 
2.8%
Other values (539) 37509
59.5%
Lowercase Letter
ValueCountFrequency (%)
e 786
12.0%
t 729
11.1%
n 673
10.2%
a 620
9.4%
o 555
 
8.4%
i 457
 
7.0%
l 387
 
5.9%
r 384
 
5.8%
s 331
 
5.0%
c 230
 
3.5%
Other values (16) 1417
21.6%
Uppercase Letter
ValueCountFrequency (%)
P 389
15.6%
I 280
 
11.2%
O 162
 
6.5%
M 161
 
6.4%
A 153
 
6.1%
C 147
 
5.9%
S 134
 
5.4%
R 134
 
5.4%
B 124
 
5.0%
W 102
 
4.1%
Other values (16) 713
28.5%
Decimal Number
ValueCountFrequency (%)
5 27
30.3%
2 16
18.0%
3 16
18.0%
1 14
15.7%
0 8
 
9.0%
6 3
 
3.4%
7 3
 
3.4%
9 2
 
2.2%
Other Punctuation
ValueCountFrequency (%)
. 40
38.5%
· 29
27.9%
& 18
17.3%
? 9
 
8.7%
, 6
 
5.8%
' 2
 
1.9%
Open Punctuation
ValueCountFrequency (%)
( 8
66.7%
「 4
33.3%
Close Punctuation
ValueCountFrequency (%)
) 8
66.7%
」 4
33.3%
Space Separator
ValueCountFrequency (%)
6011
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 91
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 61932
78.9%
Latin 9068
 
11.6%
Common 6322
 
8.1%
Han 1146
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 6341
 
10.2%
청 2763
 
4.5%
산 2277
 
3.7%
허 2164
 
3.5%
특 2155
 
3.5%
중 2068
 
3.3%
일 2048
 
3.3%
지 2023
 
3.3%
본 1993
 
3.2%
식 1737
 
2.8%
Other values (531) 36363
58.7%
Latin
ValueCountFrequency (%)
e 786
 
8.7%
t 729
 
8.0%
n 673
 
7.4%
a 620
 
6.8%
o 555
 
6.1%
i 457
 
5.0%
P 389
 
4.3%
l 387
 
4.3%
r 384
 
4.2%
s 331
 
3.7%
Other values (42) 3757
41.4%
Common
ValueCountFrequency (%)
6011
95.1%
- 91
 
1.4%
. 40
 
0.6%
· 29
 
0.5%
5 27
 
0.4%
& 18
 
0.3%
2 16
 
0.3%
3 16
 
0.3%
1 14
 
0.2%
? 9
 
0.1%
Other values (12) 51
 
0.8%
Han
ValueCountFrequency (%)
社 1114
97.2%
市 24
 
2.1%
誌 2
 
0.2%
州 2
 
0.2%
警 1
 
0.1%
縣 1
 
0.1%
部 1
 
0.1%
反 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 61931
78.9%
ASCII 15352
 
19.6%
CJK 1146
 
1.5%
None 37
 
< 0.1%
Punctuation 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 6341
 
10.2%
청 2763
 
4.5%
산 2277
 
3.7%
허 2164
 
3.5%
특 2155
 
3.5%
중 2068
 
3.3%
일 2048
 
3.3%
지 2023
 
3.3%
본 1993
 
3.2%
식 1737
 
2.8%
Other values (530) 36362
58.7%
ASCII
ValueCountFrequency (%)
6011
39.2%
e 786
 
5.1%
t 729
 
4.7%
n 673
 
4.4%
a 620
 
4.0%
o 555
 
3.6%
i 457
 
3.0%
P 389
 
2.5%
l 387
 
2.5%
r 384
 
2.5%
Other values (60) 4361
28.4%
CJK
ValueCountFrequency (%)
社 1114
97.2%
市 24
 
2.1%
誌 2
 
0.2%
州 2
 
0.2%
警 1
 
0.1%
縣 1
 
0.1%
部 1
 
0.1%
反 1
 
0.1%
None
ValueCountFrequency (%)
· 29
78.4%
「 4
 
10.8%
」 4
 
10.8%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

통권
Text

Distinct810
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T23:44:08.611833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length5.9592
Min length1

Characters and Unicode

Total characters59592
Distinct characters36
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)0.5%

Sample

1st row2014-16
2nd row10-May
3rd row2015-36
4th row2012-24
5th row2012-16
ValueCountFrequency (%)
0 1195
 
11.9%
2011-46 27
 
0.3%
11-jan 27
 
0.3%
2010-52 25
 
0.2%
2010-50 24
 
0.2%
11-dec 23
 
0.2%
12-may 23
 
0.2%
2011-49 22
 
0.2%
2011-21 22
 
0.2%
2011-40 21
 
0.2%
Other values (800) 8591
85.9%
2023-12-12T23:44:09.070209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 12021
20.2%
1 9820
16.5%
0 9734
16.3%
- 8386
14.1%
3 3401
 
5.7%
4 3062
 
5.1%
5 1836
 
3.1%
6 1418
 
2.4%
9 1394
 
2.3%
8 1375
 
2.3%
Other values (26) 7145
12.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 45395
76.2%
Dash Punctuation 8386
 
14.1%
Lowercase Letter 3798
 
6.4%
Uppercase Letter 1899
 
3.2%
Other Punctuation 114
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 530
14.0%
a 449
11.8%
u 421
11.1%
c 363
9.6%
p 325
8.6%
r 290
7.6%
n 265
7.0%
v 187
 
4.9%
o 187
 
4.9%
t 168
 
4.4%
Other values (4) 613
16.1%
Decimal Number
ValueCountFrequency (%)
2 12021
26.5%
1 9820
21.6%
0 9734
21.4%
3 3401
 
7.5%
4 3062
 
6.7%
5 1836
 
4.0%
6 1418
 
3.1%
9 1394
 
3.1%
8 1375
 
3.0%
7 1334
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
J 405
21.3%
M 308
16.2%
A 301
15.9%
D 195
10.3%
N 187
9.8%
S 181
9.5%
O 168
8.8%
F 154
 
8.1%
Other Punctuation
ValueCountFrequency (%)
· 59
51.8%
, 41
36.0%
& 14
 
12.3%
Dash Punctuation
ValueCountFrequency (%)
- 8386
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 53895
90.4%
Latin 5697
 
9.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 530
 
9.3%
a 449
 
7.9%
u 421
 
7.4%
J 405
 
7.1%
c 363
 
6.4%
p 325
 
5.7%
M 308
 
5.4%
A 301
 
5.3%
r 290
 
5.1%
n 265
 
4.7%
Other values (12) 2040
35.8%
Common
ValueCountFrequency (%)
2 12021
22.3%
1 9820
18.2%
0 9734
18.1%
- 8386
15.6%
3 3401
 
6.3%
4 3062
 
5.7%
5 1836
 
3.4%
6 1418
 
2.6%
9 1394
 
2.6%
8 1375
 
2.6%
Other values (4) 1448
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 59533
99.9%
None 59
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 12021
20.2%
1 9820
16.5%
0 9734
16.4%
- 8386
14.1%
3 3401
 
5.7%
4 3062
 
5.1%
5 1836
 
3.1%
6 1418
 
2.4%
9 1394
 
2.3%
8 1375
 
2.3%
Other values (25) 7086
11.9%
None
ValueCountFrequency (%)
· 59
100.0%

발행년도
Real number (ℝ)

HIGH CORRELATION 

Distinct18
Distinct (%)0.2%
Missing20
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean2014.7094
Minimum2006
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T23:44:09.212847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2006
5-th percentile2008
Q12011
median2015
Q32018
95-th percentile2022
Maximum2023
Range17
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.4798075
Coefficient of variation (CV)0.0022235502
Kurtosis-1.1268261
Mean2014.7094
Median Absolute Deviation (MAD)4
Skewness0.11181067
Sum20106800
Variance20.068676
MonotonicityNot monotonic
2023-12-12T23:44:09.371427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2009 928
 
9.3%
2010 723
 
7.2%
2011 702
 
7.0%
2016 673
 
6.7%
2019 653
 
6.5%
2018 652
 
6.5%
2015 646
 
6.5%
2014 641
 
6.4%
2017 637
 
6.4%
2013 636
 
6.4%
Other values (8) 3089
30.9%
ValueCountFrequency (%)
2006 57
 
0.6%
2007 107
 
1.1%
2008 511
5.1%
2009 928
9.3%
2010 723
7.2%
2011 702
7.0%
2012 626
6.3%
2013 636
6.4%
2014 641
6.4%
2015 646
6.5%
ValueCountFrequency (%)
2023 285
2.9%
2022 510
5.1%
2021 498
5.0%
2020 495
5.0%
2019 653
6.5%
2018 652
6.5%
2017 637
6.4%
2016 673
6.7%
2015 646
6.5%
2014 641
6.4%

발행일
Date

Distinct1951
Distinct (%)19.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2006-01-06 00:00:00
Maximum2023-07-11 00:00:00
2023-12-12T23:44:09.540179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:44:09.680753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

자료출처
Text

Distinct1883
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T23:44:09.937804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length106
Median length52
Mean length14.6907
Min length3

Characters and Unicode

Total characters146907
Distinct characters122
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

Unique1312 ?
Unique (%)13.1%

Sample

1st rowwww.uspto.gov
2nd rowwww.jpo.go.jp
3rd rowpatentlyo.com
4th rowip.people.com.cn
5th rowwww.ip-watch.org
ValueCountFrequency (%)
www.jpo.go.jp 580
 
5.8%
www.sipo.gov.cn 527
 
5.2%
추후등록예정 474
 
4.7%
www.meti.go.jp 342
 
3.4%
www.uspto.gov 321
 
3.2%
www.wipo.int 284
 
2.8%
www.epo.org 274
 
2.7%
www.iprchn.com 212
 
2.1%
www.cnipa.gov.cn 192
 
1.9%
www.cnipr.com 178
 
1.8%
Other values (1784) 6686
66.4%
2023-12-12T23:44:10.370146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 25689
17.5%
. 22352
15.2%
o 13728
 
9.3%
p 8387
 
5.7%
i 7640
 
5.2%
c 7592
 
5.2%
e 6255
 
4.3%
n 6127
 
4.2%
g 5491
 
3.7%
a 4608
 
3.1%
Other values (112) 39038
26.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 119711
81.5%
Other Punctuation 22906
 
15.6%
Other Letter 3024
 
2.1%
Dash Punctuation 576
 
0.4%
Decimal Number 241
 
0.2%
Space Separator 223
 
0.2%
Uppercase Letter 220
 
0.1%
Connector Punctuation 5
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 482
15.9%
등 476
15.7%
추 474
15.7%
후 474
15.7%
록 474
15.7%
예 474
15.7%
재 14
 
0.5%
국 14
 
0.5%
지 13
 
0.4%
본 11
 
0.4%
Other values (41) 118
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
w 25689
21.5%
o 13728
11.5%
p 8387
 
7.0%
i 7640
 
6.4%
c 7592
 
6.3%
e 6255
 
5.2%
n 6127
 
5.1%
g 5491
 
4.6%
a 4608
 
3.8%
r 4485
 
3.7%
Other values (16) 29709
24.8%
Uppercase Letter
ValueCountFrequency (%)
N 31
14.1%
I 25
11.4%
P 22
 
10.0%
R 21
 
9.5%
T 14
 
6.4%
H 12
 
5.5%
B 11
 
5.0%
C 10
 
4.5%
M 9
 
4.1%
A 8
 
3.6%
Other values (16) 57
25.9%
Decimal Number
ValueCountFrequency (%)
0 55
22.8%
3 45
18.7%
2 41
17.0%
6 27
11.2%
7 20
 
8.3%
4 19
 
7.9%
1 15
 
6.2%
8 9
 
3.7%
5 6
 
2.5%
9 4
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 22352
97.6%
/ 332
 
1.4%
: 145
 
0.6%
, 75
 
0.3%
? 2
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 576
100.0%
Space Separator
ValueCountFrequency (%)
223
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 119931
81.6%
Common 23952
 
16.3%
Hangul 3024
 
2.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 25689
21.4%
o 13728
11.4%
p 8387
 
7.0%
i 7640
 
6.4%
c 7592
 
6.3%
e 6255
 
5.2%
n 6127
 
5.1%
g 5491
 
4.6%
a 4608
 
3.8%
r 4485
 
3.7%
Other values (42) 29929
25.0%
Hangul
ValueCountFrequency (%)
정 482
15.9%
등 476
15.7%
추 474
15.7%
후 474
15.7%
록 474
15.7%
예 474
15.7%
재 14
 
0.5%
국 14
 
0.5%
지 13
 
0.4%
본 11
 
0.4%
Other values (41) 118
 
3.9%
Common
ValueCountFrequency (%)
. 22352
93.3%
- 576
 
2.4%
/ 332
 
1.4%
223
 
0.9%
: 145
 
0.6%
, 75
 
0.3%
0 55
 
0.2%
3 45
 
0.2%
2 41
 
0.2%
6 27
 
0.1%
Other values (9) 81
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 143883
97.9%
Hangul 3024
 
2.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 25689
17.9%
. 22352
15.5%
o 13728
 
9.5%
p 8387
 
5.8%
i 7640
 
5.3%
c 7592
 
5.3%
e 6255
 
4.3%
n 6127
 
4.3%
g 5491
 
3.8%
a 4608
 
3.2%
Other values (61) 36014
25.0%
Hangul
ValueCountFrequency (%)
정 482
15.9%
등 476
15.7%
추 474
15.7%
후 474
15.7%
록 474
15.7%
예 474
15.7%
재 14
 
0.5%
국 14
 
0.5%
지 13
 
0.4%
본 11
 
0.4%
Other values (41) 118
 
3.9%

등록일
Date

Distinct990
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2006-01-13 00:00:00
Maximum2023-07-11 00:00:00
2023-12-12T23:44:10.540076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:44:10.750798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인터넷주소
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T23:44:11.158751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length98
Mean length97.8673
Min length96

Characters and Unicode

Total characters978673
Distinct characters48
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

Unique10000 ?
Unique (%)100.0%

Sample

1st rowhttps://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=US&po_no=13570
2nd rowhttps://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=JP&po_no=8998
3rd rowhttps://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=US&po_no=14957
4th rowhttps://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=CN&po_no=11612
5th rowhttps://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=EU&po_no=11415
ValueCountFrequency (%)
https://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=us&po_no=13570 1
 
< 0.1%
https://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=us&po_no=15065 1
 
< 0.1%
https://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=jp&po_no=4887 1
 
< 0.1%
https://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=kr&po_no=20784 1
 
< 0.1%
https://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=eu&po_no=15152 1
 
< 0.1%
https://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=cn&po_no=15179 1
 
< 0.1%
https://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=eu&po_no=19433 1
 
< 0.1%
https://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=jp&po_no=16396 1
 
< 0.1%
https://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=cn&po_no=16641 1
 
< 0.1%
https://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=eu&po_no=10925 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-12T23:44:11.690624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
d 80000
 
8.2%
_ 60000
 
6.1%
e 60000
 
6.1%
b 60000
 
6.1%
t 60000
 
6.1%
r 50000
 
5.1%
/ 50000
 
5.1%
i 50000
 
5.1%
= 50000
 
5.1%
o 50000
 
5.1%
Other values (38) 408673
41.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 630000
64.4%
Other Punctuation 150000
 
15.3%
Decimal Number 67498
 
6.9%
Connector Punctuation 60000
 
6.1%
Math Symbol 50000
 
5.1%
Uppercase Letter 21175
 
2.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
d 80000
12.7%
e 60000
9.5%
b 60000
9.5%
t 60000
9.5%
r 50000
7.9%
i 50000
7.9%
o 50000
7.9%
p 40000
 
6.3%
w 40000
 
6.3%
n 30000
 
4.8%
Other values (8) 110000
17.5%
Uppercase Letter
ValueCountFrequency (%)
U 3537
16.7%
C 2851
13.5%
J 2368
11.2%
P 2368
11.2%
S 2248
10.6%
N 2148
10.1%
E 1992
9.4%
R 1070
 
5.1%
T 703
 
3.3%
K 660
 
3.1%
Other values (3) 1230
 
5.8%
Decimal Number
ValueCountFrequency (%)
1 20123
29.8%
0 14153
21.0%
2 5519
 
8.2%
8 4300
 
6.4%
7 4106
 
6.1%
5 4060
 
6.0%
9 3987
 
5.9%
4 3843
 
5.7%
3 3782
 
5.6%
6 3625
 
5.4%
Other Punctuation
ValueCountFrequency (%)
/ 50000
33.3%
& 40000
26.7%
. 40000
26.7%
? 10000
 
6.7%
: 10000
 
6.7%
Connector Punctuation
ValueCountFrequency (%)
_ 60000
100.0%
Math Symbol
ValueCountFrequency (%)
= 50000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 651175
66.5%
Common 327498
33.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
d 80000
12.3%
e 60000
9.2%
b 60000
9.2%
t 60000
9.2%
r 50000
 
7.7%
i 50000
 
7.7%
o 50000
 
7.7%
p 40000
 
6.1%
w 40000
 
6.1%
n 30000
 
4.6%
Other values (21) 131175
20.1%
Common
ValueCountFrequency (%)
_ 60000
18.3%
/ 50000
15.3%
= 50000
15.3%
& 40000
12.2%
. 40000
12.2%
1 20123
 
6.1%
0 14153
 
4.3%
? 10000
 
3.1%
: 10000
 
3.1%
2 5519
 
1.7%
Other values (7) 27703
8.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 978673
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
d 80000
 
8.2%
_ 60000
 
6.1%
e 60000
 
6.1%
b 60000
 
6.1%
t 60000
 
6.1%
r 50000
 
5.1%
/ 50000
 
5.1%
i 50000
 
5.1%
= 50000
 
5.1%
o 50000
 
5.1%
Other values (38) 408673
41.8%

Interactions

2023-12-12T23:44:04.763679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:44:04.552665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:44:04.877511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:44:04.643179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:44:11.791368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구분기관구분발행년도
번호1.0000.2860.3350.969
구분0.2861.0000.3320.258
기관구분0.3350.3321.0000.291
발행년도0.9690.2580.2911.000
2023-12-12T23:44:11.897765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분기관구분
구분1.0000.236
기관구분0.2361.000
2023-12-12T23:44:12.008070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호발행년도구분기관구분
번호1.0000.9970.1490.213
발행년도0.9971.0000.1340.185
구분0.1490.1341.0000.236
기관구분0.2130.1850.2361.000

Missing values

2023-12-12T23:44:05.011097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:44:05.193569image/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

번호구분제목기관구분주체기관통권발행년도발행일자료출처등록일인터넷주소
702313570미국미국 특허상표청, 「인도주의를 위한 특허 프로그램」을 정규 사업으로 추진공공미국 특허상표청2014-1620142014-04-18www.uspto.gov2014-04-21https://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=US&po_no=13570
26068998일본일본 특허청, 지식재산권 세미나 등 행사 일정표 갱신공공일본특허청10-May20102010-02-03www.jpo.go.jp2010-10-19https://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=JP&po_no=8998
841014957미국미국 Patently-O, 출원인 규모별 가출원 동향 발표공공Patently-O2015-3620152015-09-04patentlyo.com2015-09-07https://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=US&po_no=14957
516211612중국중국 과학원 니광난 원사 등, 저작권법을 통한 중국어 폰트의 보호 강화방안 논의공공중국과학원2012-2420122012-06-04ip.people.com.cn2012-06-18https://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=CN&po_no=11612
501911415유럽유럽디지털권리단체, 위조품의 거래방지에 관한 협정 관련 G8의 제안 소개공공유럽디지털권리단체2012-1620122012-04-15www.ip-watch.org2012-04-23https://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=EU&po_no=11415
815114698중국홍콩 지식재산권서, 지식재산권 관리자 교육 실시 예정공공홍콩 지식재산권서2015-2320152015-06-05www.info.gov.hk2015-06-08https://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=CN&po_no=14698
662113168국제기구세계지식재산권기구, 나이지리아 「기술혁신지원센터」의 활동 소개공공세계지식재산권기구2013-4820132013-11-29www.wipo.int2013-12-02https://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=IORG&po_no=13168
1503421588중국중국 국가지식산권국, 지식재산권 전정특신 중소기업의 혁신 및 발전에 관한 조치 발표공공중국 국가지식산권국2022-4420222022-11-01www.cnipa.gov.cn2022-11-01https://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=CN&po_no=21597
754314090국제기구국제상표협회, 새로운 상표침해 감시 시스템 「NameWatch」 소개공공국제상표협회2014-4320142014-10-24www.worldipreview.com2014-10-24https://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=IORG&po_no=14090
513311557중국중국 상무부, 특허권자 변경에 관한 신고절차 소개공공중국상무부2012-2220122012-05-24www.ipr.gov.cn2012-06-04https://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=CN&po_no=11557
번호구분제목기관구분주체기관통권발행년도발행일자료출처등록일인터넷주소
1377420325중국중국 국가지식산권국, 2020년 중소기업의 혁신·성장 지원 성과 발표공공중국 국가지식산권국2021-1420212021-04-06www.cnipa.gov.cn2021-04-06https://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=CN&po_no=20325
987616425유럽유럽 지식재산청, ‘농약 분야에서의 지식재산권 침해로 인한 경제적 비용’ 보고서 발표공공유럽 지식재산청17-Jul20172017-02-16euipo.europa.eu2017-02-16https://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=EU&po_no=16425
449810749일본일본 에자이社, 2012년 1분기 예상실적 하향 수정민간에자이社2011-4520112011-11-01www.nikkei.com2011-11-14https://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=JP&po_no=10749
530411798일본일본 iPS 아카데미아 저팬社, 서브라이선스를 통한 iPS세포 신약 개발 촉진계획 발표민간iPS아카데미아저팬社2012-3120122012-07-24www.nikkei.com2012-08-06https://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=JP&po_no=11798
1181318363기타필리핀 지식재산청, 마라케시 조약 가입 발표공공필리핀 지식재산청19-Apr20182019-01-24www.ipophil.gov.ph2019-01-23https://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=ETC&po_no=18363
38899965한국특허청, 3D DMB 관련 국내 특허출원 동향공공한국특허청2011-1520112011-04-13www.kipo.go.kr2011-04-26https://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=KR&po_no=9965
8764183미국오리온社, 썬 파마 글로벌社를 상대로 특허침해 소송제기민간오리온社020082008-11-13http://news.ino.com2008-11-18https://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=US&po_no=4183
1137917929일본일본 특허청, 홍보지 ‘특허’의 새로운 웹사이트 오픈공공일본 특허청2018-3220182018-08-09www.jpo.go.jp2018-08-08https://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=JP&po_no=17929
1025916809유럽유럽 지식재산청, 경제협력개발기구 등과 위조품 무역 경로에 관한 보고서 발표공공유럽 지식재산청2017-2620172017-06-29euipo.europa.eu2017-06-29https://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=EU&po_no=16809
1377520326중국중국 국가지식산권국, ‘악의적인 상표 선점행위 단속을 위한 특별행동방안’ 발표공공중국 국가지식산권국2021-1420212021-04-06www.cnipa.gov.cn2021-04-06https://www.kiip.re.kr/board/trend/view.do?bd_gb=trend&bd_cd=1&bd_item=0&po_item_gb=CN&po_no=20326