Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells108
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory634.8 KiB
Average record size in memory65.0 B

Variable types

Numeric1
Text6

Dataset

Description한국지식재산전문도서 관련 도서 서지입니다
Author한국지식재산연구원
URLhttps://www.data.go.kr/data/15055897/fileData.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:29:40.472998
Analysis finished2023-12-12 08:29:43.698564
Duration3.23 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8054.3861
Minimum1
Maximum16122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T17:29:43.782798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile823.75
Q14003.75
median8101
Q312061.5
95-th percentile15299.05
Maximum16122
Range16121
Interquartile range (IQR)8057.75

Descriptive statistics

Standard deviation4658.7054
Coefficient of variation (CV)0.57840602
Kurtosis-1.203225
Mean8054.3861
Median Absolute Deviation (MAD)4028.5
Skewness-0.00079009851
Sum80543861
Variance21703536
MonotonicityNot monotonic
2023-12-12T17:29:43.971861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7615 1
 
< 0.1%
5447 1
 
< 0.1%
7689 1
 
< 0.1%
5839 1
 
< 0.1%
8539 1
 
< 0.1%
7312 1
 
< 0.1%
13759 1
 
< 0.1%
12308 1
 
< 0.1%
4230 1
 
< 0.1%
12981 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
8 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
ValueCountFrequency (%)
16122 1
< 0.1%
16119 1
< 0.1%
16118 1
< 0.1%
16117 1
< 0.1%
16116 1
< 0.1%
16115 1
< 0.1%
16109 1
< 0.1%
16108 1
< 0.1%
16106 1
< 0.1%
16104 1
< 0.1%

서명
Text

Distinct8458
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T17:29:44.347761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length258
Median length183
Mean length34.9968
Min length1

Characters and Unicode

Total characters349968
Distinct characters2022
Distinct categories17 ?
Distinct scripts6 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7472 ?
Unique (%)74.7%

Sample

1st row(바쁜 아침 쉽게 만드는)저칼로리 도시락 60세트
2nd rowThe center for intellectual property handbook
3rd row(2012 개정 저작권법에 따른)저작권 상담사례 100
4th row교토에 다녀왔습니다 : 임경선 에세이
5th row국내논문집. 8호
ValueCountFrequency (%)
3516
 
5.8%
and 1500
 
2.5%
the 1223
 
2.0%
of 1031
 
1.7%
intellectual 715
 
1.2%
property 699
 
1.2%
및 598
 
1.0%
연구 569
 
0.9%
in 563
 
0.9%
law 529
 
0.9%
Other values (16968) 49685
82.0%
2023-12-12T17:29:44.973461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
52789
 
15.1%
e 15846
 
4.5%
t 13279
 
3.8%
n 12989
 
3.7%
a 12131
 
3.5%
o 10552
 
3.0%
i 10492
 
3.0%
r 9119
 
2.6%
s 6773
 
1.9%
l 6709
 
1.9%
Other values (2012) 199289
56.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 133022
38.0%
Other Letter 122411
35.0%
Space Separator 52805
 
15.1%
Uppercase Letter 18613
 
5.3%
Other Punctuation 8964
 
2.6%
Decimal Number 8891
 
2.5%
Close Punctuation 1739
 
0.5%
Open Punctuation 1735
 
0.5%
Dash Punctuation 973
 
0.3%
Math Symbol 629
 
0.2%
Other values (7) 186
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 2695
 
2.2%
지 2077
 
1.7%
한 1859
 
1.5%
산 1722
 
1.4%
제 1703
 
1.4%
기 1683
 
1.4%
사 1531
 
1.3%
국 1422
 
1.2%
재 1388
 
1.1%
연 1277
 
1.0%
Other values (1888) 105054
85.8%
Lowercase Letter
ValueCountFrequency (%)
e 15846
11.9%
t 13279
10.0%
n 12989
9.8%
a 12131
9.1%
o 10552
 
7.9%
i 10492
 
7.9%
r 9119
 
6.9%
s 6773
 
5.1%
l 6709
 
5.0%
c 5118
 
3.8%
Other values (18) 30014
22.6%
Uppercase Letter
ValueCountFrequency (%)
P 2504
13.5%
I 2196
11.8%
T 1775
 
9.5%
C 1542
 
8.3%
A 1341
 
7.2%
S 1184
 
6.4%
E 989
 
5.3%
R 909
 
4.9%
L 803
 
4.3%
D 753
 
4.0%
Other values (16) 4617
24.8%
Other Punctuation
ValueCountFrequency (%)
: 3354
37.4%
? 1304
 
14.5%
, 1282
 
14.3%
. 967
 
10.8%
/ 815
 
9.1%
· 602
 
6.7%
& 283
 
3.2%
' 188
 
2.1%
! 66
 
0.7%
" 32
 
0.4%
Other values (9) 71
 
0.8%
Decimal Number
ValueCountFrequency (%)
0 2325
26.2%
2 2065
23.2%
1 2011
22.6%
3 468
 
5.3%
4 430
 
4.8%
5 428
 
4.8%
9 334
 
3.8%
7 284
 
3.2%
6 275
 
3.1%
8 269
 
3.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 66
38.4%
Ⅱ 62
36.0%
Ⅲ 15
 
8.7%
Ⅳ 12
 
7.0%
Ⅹ 6
 
3.5%
Ⅵ 5
 
2.9%
Ⅴ 3
 
1.7%
ⅰ 1
 
0.6%
ⅱ 1
 
0.6%
Ⅶ 1
 
0.6%
Math Symbol
ValueCountFrequency (%)
= 522
83.0%
~ 55
 
8.7%
> 15
 
2.4%
< 15
 
2.4%
+ 14
 
2.2%
| 6
 
1.0%
∼ 2
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 1639
94.2%
] 63
 
3.6%
」 30
 
1.7%
〉 5
 
0.3%
』 1
 
0.1%
） 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1637
94.4%
[ 62
 
3.6%
「 30
 
1.7%
〈 5
 
0.3%
『 1
 
0.1%
Space Separator
ValueCountFrequency (%)
52789
> 99.9%
　 16
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 810
83.2%
― 163
 
16.8%
Modifier Symbol
ValueCountFrequency (%)
` 5
83.3%
¨ 1
 
16.7%
Other Symbol
ValueCountFrequency (%)
® 1
50.0%
〓 1
50.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Other Number
ValueCountFrequency (%)
₂ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 151807
43.4%
Hangul 98275
28.1%
Common 75750
21.6%
Han 16646
 
4.8%
Hiragana 4118
 
1.2%
Katakana 3372
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 2695
 
2.7%
지 2077
 
2.1%
한 1859
 
1.9%
산 1722
 
1.8%
제 1703
 
1.7%
기 1683
 
1.7%
사 1531
 
1.6%
국 1422
 
1.4%
재 1388
 
1.4%
연 1277
 
1.3%
Other values (902) 80918
82.3%
Han
ValueCountFrequency (%)
法 742
 
4.5%
知 500
 
3.0%
特 484
 
2.9%
許 480
 
2.9%
産 461
 
2.8%
財 443
 
2.7%
的 439
 
2.6%
權 257
 
1.5%
業 222
 
1.3%
務 206
 
1.2%
Other values (839) 12412
74.6%
Katakana
ValueCountFrequency (%)
ン 289
 
8.6%
ス 183
 
5.4%
イ 180
 
5.3%
ア 149
 
4.4%
ト 142
 
4.2%
ド 116
 
3.4%
ジ 115
 
3.4%
ル 109
 
3.2%
ク 96
 
2.8%
ッ 90
 
2.7%
Other values (65) 1903
56.4%
Latin
ValueCountFrequency (%)
e 15846
 
10.4%
t 13279
 
8.7%
n 12989
 
8.6%
a 12131
 
8.0%
o 10552
 
7.0%
i 10492
 
6.9%
r 9119
 
6.0%
s 6773
 
4.5%
l 6709
 
4.4%
c 5118
 
3.4%
Other values (54) 48799
32.1%
Hiragana
ValueCountFrequency (%)
の 1033
25.1%
と 329
 
8.0%
る 323
 
7.8%
に 248
 
6.0%
か 157
 
3.8%
す 147
 
3.6%
た 128
 
3.1%
を 125
 
3.0%
て 92
 
2.2%
め 89
 
2.2%
Other values (52) 1447
35.1%
Common
ValueCountFrequency (%)
52789
69.7%
: 3354
 
4.4%
0 2325
 
3.1%
2 2065
 
2.7%
1 2011
 
2.7%
) 1639
 
2.2%
( 1637
 
2.2%
? 1304
 
1.7%
, 1282
 
1.7%
. 967
 
1.3%
Other values (50) 6377
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 226482
64.7%
Hangul 98218
28.1%
CJK 16522
 
4.7%
Hiragana 4118
 
1.2%
Katakana 3372
 
1.0%
None 736
 
0.2%
Number Forms 172
 
< 0.1%
Punctuation 165
 
< 0.1%
CJK Compat Ideographs 124
 
< 0.1%
Compat Jamo 57
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
52789
23.3%
e 15846
 
7.0%
t 13279
 
5.9%
n 12989
 
5.7%
a 12131
 
5.4%
o 10552
 
4.7%
i 10492
 
4.6%
r 9119
 
4.0%
s 6773
 
3.0%
l 6709
 
3.0%
Other values (79) 75803
33.5%
Hangul
ValueCountFrequency (%)
의 2695
 
2.7%
지 2077
 
2.1%
한 1859
 
1.9%
산 1722
 
1.8%
제 1703
 
1.7%
기 1683
 
1.7%
사 1531
 
1.6%
국 1422
 
1.4%
재 1388
 
1.4%
연 1277
 
1.3%
Other values (901) 80861
82.3%
Hiragana
ValueCountFrequency (%)
の 1033
25.1%
と 329
 
8.0%
る 323
 
7.8%
に 248
 
6.0%
か 157
 
3.8%
す 147
 
3.6%
た 128
 
3.1%
を 125
 
3.0%
て 92
 
2.2%
め 89
 
2.2%
Other values (52) 1447
35.1%
CJK
ValueCountFrequency (%)
法 742
 
4.5%
知 500
 
3.0%
特 484
 
2.9%
許 480
 
2.9%
産 461
 
2.8%
財 443
 
2.7%
的 439
 
2.7%
權 257
 
1.6%
業 222
 
1.3%
務 206
 
1.2%
Other values (814) 12288
74.4%
None
ValueCountFrequency (%)
· 602
81.8%
「 30
 
4.1%
」 30
 
4.1%
、 25
 
3.4%
　 16
 
2.2%
〉 5
 
0.7%
〈 5
 
0.7%
： 3
 
0.4%
！ 3
 
0.4%
． 2
 
0.3%
Other values (11) 15
 
2.0%
Katakana
ValueCountFrequency (%)
ン 289
 
8.6%
ス 183
 
5.4%
イ 180
 
5.3%
ア 149
 
4.4%
ト 142
 
4.2%
ド 116
 
3.4%
ジ 115
 
3.4%
ル 109
 
3.2%
ク 96
 
2.8%
ッ 90
 
2.7%
Other values (65) 1903
56.4%
Punctuation
ValueCountFrequency (%)
― 163
98.8%
’ 1
 
0.6%
‘ 1
 
0.6%
Number Forms
ValueCountFrequency (%)
Ⅰ 66
38.4%
Ⅱ 62
36.0%
Ⅲ 15
 
8.7%
Ⅳ 12
 
7.0%
Ⅹ 6
 
3.5%
Ⅵ 5
 
2.9%
Ⅴ 3
 
1.7%
ⅰ 1
 
0.6%
ⅱ 1
 
0.6%
Ⅶ 1
 
0.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 57
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
理 38
30.6%
不 11
 
8.9%
論 11
 
8.9%
六 9
 
7.3%
年 9
 
7.3%
利 6
 
4.8%
量 5
 
4.0%
連 5
 
4.0%
例 4
 
3.2%
流 3
 
2.4%
Other values (15) 23
18.5%
Math Operators
ValueCountFrequency (%)
∼ 2
100.0%

저자
Text

Distinct5430
Distinct (%)54.5%
Missing35
Missing (%)0.4%
Memory size156.2 KiB
2023-12-12T17:29:45.358711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length137
Median length78
Mean length8.1414952
Min length2

Characters and Unicode

Total characters81130
Distinct characters1476
Distinct categories13 ?
Distinct scripts6 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4293 ?
Unique (%)43.1%

Sample

1st row윤선혜
2nd rowBonner, Kimberly M
3rd row한국저작권위원회
4th row임경선
5th row최병규
ValueCountFrequency (%)
한국지식재산연구원 676
 
4.6%
특허청 661
 
4.5%
특허심판원 174
 
1.2%
united 83
 
0.6%
states 82
 
0.6%
m 75
 
0.5%
a 73
 
0.5%
property 69
 
0.5%
s 66
 
0.4%
david 64
 
0.4%
Other values (6804) 12778
86.3%
2023-12-12T17:29:45.929329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4833
 
6.0%
e 3342
 
4.1%
a 2903
 
3.6%
n 2466
 
3.0%
r 2353
 
2.9%
i 2280
 
2.8%
o 2130
 
2.6%
t 1892
 
2.3%
l 1527
 
1.9%
, 1495
 
1.8%
Other values (1466) 55909
68.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38163
47.0%
Lowercase Letter 27441
33.8%
Uppercase Letter 7614
 
9.4%
Space Separator 4837
 
6.0%
Other Punctuation 2425
 
3.0%
Close Punctuation 251
 
0.3%
Open Punctuation 250
 
0.3%
Dash Punctuation 95
 
0.1%
Decimal Number 36
 
< 0.1%
Math Symbol 10
 
< 0.1%
Other values (3) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 1380
 
3.6%
국 1236
 
3.2%
한 1206
 
3.2%
재 1076
 
2.8%
연 1046
 
2.7%
지 1030
 
2.7%
구 1007
 
2.6%
산 980
 
2.6%
허 956
 
2.5%
식 940
 
2.5%
Other values (1383) 27306
71.6%
Lowercase Letter
ValueCountFrequency (%)
e 3342
12.2%
a 2903
10.6%
n 2466
9.0%
r 2353
 
8.6%
i 2280
 
8.3%
o 2130
 
7.8%
t 1892
 
6.9%
l 1527
 
5.6%
s 1378
 
5.0%
h 1050
 
3.8%
Other values (17) 6120
22.3%
Uppercase Letter
ValueCountFrequency (%)
P 643
 
8.4%
S 572
 
7.5%
M 551
 
7.2%
I 546
 
7.2%
A 519
 
6.8%
C 512
 
6.7%
R 379
 
5.0%
J 365
 
4.8%
K 361
 
4.7%
D 360
 
4.7%
Other values (16) 2806
36.9%
Other Punctuation
ValueCountFrequency (%)
, 1495
61.6%
. 496
 
20.5%
? 377
 
15.5%
& 39
 
1.6%
· 11
 
0.5%
' 3
 
0.1%
＆ 1
 
< 0.1%
: 1
 
< 0.1%
， 1
 
< 0.1%
/ 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 11
30.6%
3 8
22.2%
2 5
13.9%
5 4
 
11.1%
4 4
 
11.1%
0 4
 
11.1%
Space Separator
ValueCountFrequency (%)
4833
99.9%
　 4
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 242
96.4%
] 9
 
3.6%
Open Punctuation
ValueCountFrequency (%)
( 242
96.8%
[ 8
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 72
75.8%
― 23
 
24.2%
Math Symbol
ValueCountFrequency (%)
< 5
50.0%
> 5
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
66.7%
ⓔ 2
33.3%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
´ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 35056
43.2%
Hangul 30388
37.5%
Common 7907
 
9.7%
Han 7315
 
9.0%
Katakana 434
 
0.5%
Hiragana 30
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
産 220
 
3.0%
知 200
 
2.7%
財 196
 
2.7%
的 186
 
2.5%
會 166
 
2.3%
究 164
 
2.2%
所 164
 
2.2%
本 151
 
2.1%
硏 130
 
1.8%
日 130
 
1.8%
Other values (724) 5608
76.7%
Hangul
ValueCountFrequency (%)
원 1380
 
4.5%
국 1236
 
4.1%
한 1206
 
4.0%
재 1076
 
3.5%
연 1046
 
3.4%
지 1030
 
3.4%
구 1007
 
3.3%
산 980
 
3.2%
허 956
 
3.1%
식 940
 
3.1%
Other values (575) 19531
64.3%
Katakana
ValueCountFrequency (%)
ン 51
 
11.8%
タ 27
 
6.2%
セ 23
 
5.3%
ル 20
 
4.6%
プ 20
 
4.6%
グ 19
 
4.4%
イ 18
 
4.1%
ロ 17
 
3.9%
ト 15
 
3.5%
ク 14
 
3.2%
Other values (48) 210
48.4%
Latin
ValueCountFrequency (%)
e 3342
 
9.5%
a 2903
 
8.3%
n 2466
 
7.0%
r 2353
 
6.7%
i 2280
 
6.5%
o 2130
 
6.1%
t 1892
 
5.4%
l 1527
 
4.4%
s 1378
 
3.9%
h 1050
 
3.0%
Other values (44) 13735
39.2%
Common
ValueCountFrequency (%)
4833
61.1%
, 1495
 
18.9%
. 496
 
6.3%
? 377
 
4.8%
) 242
 
3.1%
( 242
 
3.1%
- 72
 
0.9%
& 39
 
0.5%
― 23
 
0.3%
1 11
 
0.1%
Other values (18) 77
 
1.0%
Hiragana
ValueCountFrequency (%)
り 4
13.3%
へ 4
13.3%
ゆ 3
10.0%
か 2
 
6.7%
き 2
 
6.7%
さ 2
 
6.7%
も 2
 
6.7%
あ 2
 
6.7%
ひ 1
 
3.3%
と 1
 
3.3%
Other values (7) 7
23.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42918
52.9%
Hangul 30384
37.5%
CJK 7255
 
8.9%
Katakana 434
 
0.5%
CJK Compat Ideographs 60
 
0.1%
Hiragana 30
 
< 0.1%
Punctuation 23
 
< 0.1%
None 23
 
< 0.1%
Enclosed Alphanum 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4833
 
11.3%
e 3342
 
7.8%
a 2903
 
6.8%
n 2466
 
5.7%
r 2353
 
5.5%
i 2280
 
5.3%
o 2130
 
5.0%
t 1892
 
4.4%
l 1527
 
3.6%
, 1495
 
3.5%
Other values (63) 17697
41.2%
Hangul
ValueCountFrequency (%)
원 1380
 
4.5%
국 1236
 
4.1%
한 1206
 
4.0%
재 1076
 
3.5%
연 1046
 
3.4%
지 1030
 
3.4%
구 1007
 
3.3%
산 980
 
3.2%
허 956
 
3.1%
식 940
 
3.1%
Other values (574) 19527
64.3%
CJK
ValueCountFrequency (%)
産 220
 
3.0%
知 200
 
2.8%
財 196
 
2.7%
的 186
 
2.6%
會 166
 
2.3%
究 164
 
2.3%
所 164
 
2.3%
本 151
 
2.1%
硏 130
 
1.8%
日 130
 
1.8%
Other values (706) 5548
76.5%
Katakana
ValueCountFrequency (%)
ン 51
 
11.8%
タ 27
 
6.2%
セ 23
 
5.3%
ル 20
 
4.6%
プ 20
 
4.6%
グ 19
 
4.4%
イ 18
 
4.1%
ロ 17
 
3.9%
ト 15
 
3.5%
ク 14
 
3.2%
Other values (48) 210
48.4%
CJK Compat Ideographs
ValueCountFrequency (%)
李 26
43.3%
龍 6
 
10.0%
郎 4
 
6.7%
盧 4
 
6.7%
隆 2
 
3.3%
論 2
 
3.3%
烈 2
 
3.3%
良 2
 
3.3%
金 2
 
3.3%
奈 2
 
3.3%
Other values (8) 8
 
13.3%
Punctuation
ValueCountFrequency (%)
― 23
100.0%
None
ValueCountFrequency (%)
· 11
47.8%
㈜ 4
 
17.4%
　 4
 
17.4%
＆ 1
 
4.3%
， 1
 
4.3%
ß 1
 
4.3%
´ 1
 
4.3%
Hiragana
ValueCountFrequency (%)
り 4
13.3%
へ 4
13.3%
ゆ 3
10.0%
か 2
 
6.7%
き 2
 
6.7%
さ 2
 
6.7%
も 2
 
6.7%
あ 2
 
6.7%
ひ 1
 
3.3%
と 1
 
3.3%
Other values (7) 7
23.3%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

출판사
Text

Distinct2469
Distinct (%)24.8%
Missing30
Missing (%)0.3%
Memory size156.2 KiB
2023-12-12T17:29:46.185626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length137
Median length56
Mean length8.4155466
Min length1

Characters and Unicode

Total characters83903
Distinct characters946
Distinct categories11 ?
Distinct scripts6 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1493 ?
Unique (%)15.0%

Sample

1st row부즈펌
2nd rowNeal schuman
3rd row한국저작권위원회
4th row예담
5th rowPeter Lang Pub Inc
ValueCountFrequency (%)
특허청 787
 
6.2%
한국지식재산연구원 621
 
4.9%
대외경제정책연구원(kiep 258
 
2.0%
press 249
 
2.0%
한국지식재산연구원(kiip 243
 
1.9%
한국발명진흥회 240
 
1.9%
지적재산권연구센터 190
 
1.5%
특허심판원 163
 
1.3%
university 151
 
1.2%
edward 147
 
1.2%
Other values (2456) 9544
75.8%
2023-12-12T17:29:46.661177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2623
 
3.1%
e 2622
 
3.1%
r 2151
 
2.6%
원 2149
 
2.6%
한 2093
 
2.5%
s 1986
 
2.4%
연 1910
 
2.3%
국 1882
 
2.2%
구 1857
 
2.2%
i 1818
 
2.2%
Other values (936) 62812
74.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46369
55.3%
Lowercase Letter 21909
26.1%
Uppercase Letter 9951
 
11.9%
Space Separator 2624
 
3.1%
Open Punctuation 948
 
1.1%
Close Punctuation 947
 
1.1%
Other Punctuation 928
 
1.1%
Decimal Number 141
 
0.2%
Dash Punctuation 73
 
0.1%
Other Symbol 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 2149
 
4.6%
한 2093
 
4.5%
연 1910
 
4.1%
국 1882
 
4.1%
구 1857
 
4.0%
지 1411
 
3.0%
산 1368
 
3.0%
재 1259
 
2.7%
식 1052
 
2.3%
특 1022
 
2.2%
Other values (856) 30366
65.5%
Lowercase Letter
ValueCountFrequency (%)
e 2622
12.0%
r 2151
 
9.8%
s 1986
 
9.1%
i 1818
 
8.3%
a 1755
 
8.0%
o 1545
 
7.1%
n 1452
 
6.6%
l 1236
 
5.6%
t 1117
 
5.1%
d 806
 
3.7%
Other values (16) 5421
24.7%
Uppercase Letter
ValueCountFrequency (%)
I 1677
16.9%
P 1587
15.9%
K 906
 
9.1%
E 894
 
9.0%
O 463
 
4.7%
S 460
 
4.6%
A 416
 
4.2%
L 389
 
3.9%
W 350
 
3.5%
N 341
 
3.4%
Other values (16) 2468
24.8%
Other Punctuation
ValueCountFrequency (%)
? 671
72.3%
& 88
 
9.5%
, 84
 
9.1%
. 49
 
5.3%
: 15
 
1.6%
/ 6
 
0.6%
· 5
 
0.5%
; 4
 
0.4%
' 3
 
0.3%
# 2
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 62
44.0%
1 60
42.6%
0 7
 
5.0%
8 6
 
4.3%
3 3
 
2.1%
6 2
 
1.4%
5 1
 
0.7%
Space Separator
ValueCountFrequency (%)
2623
> 99.9%
　 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 947
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 946
99.9%
] 1
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 62
84.9%
― 11
 
15.1%
Other Symbol
ValueCountFrequency (%)
㈜ 12
100.0%
Math Symbol
ValueCountFrequency (%)
| 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38846
46.3%
Latin 31860
38.0%
Han 6831
 
8.1%
Common 5662
 
6.7%
Katakana 643
 
0.8%
Hiragana 61
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 2149
 
5.5%
한 2093
 
5.4%
연 1910
 
4.9%
국 1882
 
4.8%
구 1857
 
4.8%
지 1411
 
3.6%
산 1368
 
3.5%
재 1259
 
3.2%
식 1052
 
2.7%
특 1022
 
2.6%
Other values (461) 22843
58.8%
Han
ValueCountFrequency (%)
社 397
 
5.8%
會 304
 
4.5%
協 289
 
4.2%
産 254
 
3.7%
日 201
 
2.9%
明 194
 
2.8%
經 174
 
2.5%
業 172
 
2.5%
財 165
 
2.4%
本 161
 
2.4%
Other values (306) 4520
66.2%
Katakana
ValueCountFrequency (%)
ン 72
 
11.2%
イ 42
 
6.5%
ス 37
 
5.8%
ド 34
 
5.3%
タ 31
 
4.8%
セ 26
 
4.0%
ダ 24
 
3.7%
モ 23
 
3.6%
ヤ 23
 
3.6%
ク 21
 
3.3%
Other values (49) 310
48.2%
Latin
ValueCountFrequency (%)
e 2622
 
8.2%
r 2151
 
6.8%
s 1986
 
6.2%
i 1818
 
5.7%
a 1755
 
5.5%
I 1677
 
5.3%
P 1587
 
5.0%
o 1545
 
4.8%
n 1452
 
4.6%
l 1236
 
3.9%
Other values (42) 14031
44.0%
Common
ValueCountFrequency (%)
2623
46.3%
( 947
 
16.7%
) 946
 
16.7%
? 671
 
11.9%
& 88
 
1.6%
, 84
 
1.5%
- 62
 
1.1%
2 62
 
1.1%
1 60
 
1.1%
. 49
 
0.9%
Other values (17) 70
 
1.2%
Hiragana
ValueCountFrequency (%)
い 6
9.8%
ん 6
9.8%
せ 5
 
8.2%
う 5
 
8.2%
ぎ 5
 
8.2%
ょ 5
 
8.2%
か 4
 
6.6%
き 4
 
6.6%
す 4
 
6.6%
ば 3
 
4.9%
Other values (11) 14
23.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38834
46.3%
ASCII 37504
44.7%
CJK 6819
 
8.1%
Katakana 643
 
0.8%
Hiragana 61
 
0.1%
None 19
 
< 0.1%
CJK Compat Ideographs 12
 
< 0.1%
Punctuation 11
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2623
 
7.0%
e 2622
 
7.0%
r 2151
 
5.7%
s 1986
 
5.3%
i 1818
 
4.8%
a 1755
 
4.7%
I 1677
 
4.5%
P 1587
 
4.2%
o 1545
 
4.1%
n 1452
 
3.9%
Other values (65) 18288
48.8%
Hangul
ValueCountFrequency (%)
원 2149
 
5.5%
한 2093
 
5.4%
연 1910
 
4.9%
국 1882
 
4.8%
구 1857
 
4.8%
지 1411
 
3.6%
산 1368
 
3.5%
재 1259
 
3.2%
식 1052
 
2.7%
특 1022
 
2.6%
Other values (460) 22831
58.8%
CJK
ValueCountFrequency (%)
社 397
 
5.8%
會 304
 
4.5%
協 289
 
4.2%
産 254
 
3.7%
日 201
 
2.9%
明 194
 
2.8%
經 174
 
2.6%
業 172
 
2.5%
財 165
 
2.4%
本 161
 
2.4%
Other values (300) 4508
66.1%
Katakana
ValueCountFrequency (%)
ン 72
 
11.2%
イ 42
 
6.5%
ス 37
 
5.8%
ド 34
 
5.3%
タ 31
 
4.8%
セ 26
 
4.0%
ダ 24
 
3.7%
モ 23
 
3.6%
ヤ 23
 
3.6%
ク 21
 
3.3%
Other values (49) 310
48.2%
None
ValueCountFrequency (%)
㈜ 12
63.2%
· 5
26.3%
　 1
 
5.3%
： 1
 
5.3%
Punctuation
ValueCountFrequency (%)
― 11
100.0%
Hiragana
ValueCountFrequency (%)
い 6
9.8%
ん 6
9.8%
せ 5
 
8.2%
う 5
 
8.2%
ぎ 5
 
8.2%
ょ 5
 
8.2%
か 4
 
6.6%
き 4
 
6.6%
す 4
 
6.6%
ば 3
 
4.9%
Other values (11) 14
23.0%
CJK Compat Ideographs
ValueCountFrequency (%)
率 3
25.0%
聯 3
25.0%
龍 2
16.7%
連 2
16.7%
理 1
 
8.3%
金 1
 
8.3%

출판년
Text

Distinct62
Distinct (%)0.6%
Missing28
Missing (%)0.3%
Memory size156.2 KiB
2023-12-12T17:29:46.913859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length4.0010028
Min length4

Characters and Unicode

Total characters39898
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)0.2%

Sample

1st row2011
2nd row2006
3rd row2012
4th row2017
5th row2008
ValueCountFrequency (%)
2011 857
 
8.6%
2008 821
 
8.2%
2013 800
 
8.0%
2012 700
 
7.0%
2010 685
 
6.9%
2009 636
 
6.4%
2015 603
 
6.0%
2016 569
 
5.7%
2017 566
 
5.7%
2014 564
 
5.7%
Other values (52) 3171
31.8%
2023-12-12T17:29:47.330022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 14003
35.1%
2 10238
25.7%
1 7155
17.9%
9 2071
 
5.2%
3 1236
 
3.1%
7 1214
 
3.0%
8 1079
 
2.7%
6 1045
 
2.6%
5 963
 
2.4%
4 892
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39896
> 99.9%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14003
35.1%
2 10238
25.7%
1 7155
17.9%
9 2071
 
5.2%
3 1236
 
3.1%
7 1214
 
3.0%
8 1079
 
2.7%
6 1045
 
2.6%
5 963
 
2.4%
4 892
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39898
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 14003
35.1%
2 10238
25.7%
1 7155
17.9%
9 2071
 
5.2%
3 1236
 
3.1%
7 1214
 
3.0%
8 1079
 
2.7%
6 1045
 
2.6%
5 963
 
2.4%
4 892
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39898
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 14003
35.1%
2 10238
25.7%
1 7155
17.9%
9 2071
 
5.2%
3 1236
 
3.1%
7 1214
 
3.0%
8 1079
 
2.7%
6 1045
 
2.6%
5 963
 
2.4%
4 892
 
2.2%

청구기호
Text

Distinct3663
Distinct (%)36.7%
Missing15
Missing (%)0.1%
Memory size156.2 KiB
2023-12-12T17:29:47.643512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length9.1868803
Min length3

Characters and Unicode

Total characters91731
Distinct characters82
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2161 ?
Unique (%)21.6%

Sample

1st row641.534
2nd row507.55104
3rd row507.5551
4th row816.7
5th row507.502
ValueCountFrequency (%)
kiip 1052
 
7.9%
kipo 678
 
5.1%
kiep 365
 
2.7%
seminar 188
 
1.4%
kipt 163
 
1.2%
etc 156
 
1.2%
507.518 149
 
1.1%
forum 146
 
1.1%
kdi 141
 
1.1%
325.1 100
 
0.8%
Other values (3303) 10175
76.4%
2023-12-12T17:29:48.075124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16709
18.2%
5 10956
11.9%
1 8506
9.3%
2 7321
 
8.0%
. 6090
 
6.6%
3 5505
 
6.0%
7 5257
 
5.7%
I 3886
 
4.2%
4 3468
 
3.8%
3329
 
3.6%
Other values (72) 20704
22.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 63762
69.5%
Uppercase Letter 12084
 
13.2%
Other Punctuation 6123
 
6.7%
Space Separator 3329
 
3.6%
Dash Punctuation 2937
 
3.2%
Lowercase Letter 1768
 
1.9%
Other Letter 1626
 
1.8%
Open Punctuation 51
 
0.1%
Close Punctuation 51
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ㅈ 281
17.3%
ㅇ 220
13.5%
ㅎ 206
12.7%
ㄱ 182
11.2%
ㅅ 177
10.9%
ㅌ 151
9.3%
ㄷ 103
 
6.3%
ㅂ 64
 
3.9%
ㅁ 54
 
3.3%
ㅊ 28
 
1.7%
Other values (16) 160
9.8%
Uppercase Letter
ValueCountFrequency (%)
I 3886
32.2%
P 2532
21.0%
K 2514
20.8%
O 799
 
6.6%
E 652
 
5.4%
T 409
 
3.4%
S 247
 
2.0%
C 227
 
1.9%
D 169
 
1.4%
F 156
 
1.3%
Other values (11) 493
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
r 339
19.2%
m 338
19.1%
i 200
11.3%
a 193
10.9%
e 191
10.8%
n 188
10.6%
o 150
8.5%
u 147
8.3%
c 6
 
0.3%
d 3
 
0.2%
Other values (8) 13
 
0.7%
Decimal Number
ValueCountFrequency (%)
0 16709
26.2%
5 10956
17.2%
1 8506
13.3%
2 7321
11.5%
3 5505
 
8.6%
7 5257
 
8.2%
4 3468
 
5.4%
8 2600
 
4.1%
6 1834
 
2.9%
9 1606
 
2.5%
Other Punctuation
ValueCountFrequency (%)
. 6090
99.5%
& 26
 
0.4%
/ 7
 
0.1%
Space Separator
ValueCountFrequency (%)
3329
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2937
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 76253
83.1%
Latin 13852
 
15.1%
Hangul 1626
 
1.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
I 3886
28.1%
P 2532
18.3%
K 2514
18.1%
O 799
 
5.8%
E 652
 
4.7%
T 409
 
3.0%
r 339
 
2.4%
m 338
 
2.4%
S 247
 
1.8%
C 227
 
1.6%
Other values (29) 1909
13.8%
Hangul
ValueCountFrequency (%)
ㅈ 281
17.3%
ㅇ 220
13.5%
ㅎ 206
12.7%
ㄱ 182
11.2%
ㅅ 177
10.9%
ㅌ 151
9.3%
ㄷ 103
 
6.3%
ㅂ 64
 
3.9%
ㅁ 54
 
3.3%
ㅊ 28
 
1.7%
Other values (16) 160
9.8%
Common
ValueCountFrequency (%)
0 16709
21.9%
5 10956
14.4%
1 8506
11.2%
2 7321
9.6%
. 6090
 
8.0%
3 5505
 
7.2%
7 5257
 
6.9%
4 3468
 
4.5%
3329
 
4.4%
- 2937
 
3.9%
Other values (7) 6175
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 90105
98.2%
Compat Jamo 1532
 
1.7%
Hangul 94
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16709
18.5%
5 10956
12.2%
1 8506
9.4%
2 7321
 
8.1%
. 6090
 
6.8%
3 5505
 
6.1%
7 5257
 
5.8%
I 3886
 
4.3%
4 3468
 
3.8%
3329
 
3.7%
Other values (46) 19078
21.2%
Compat Jamo
ValueCountFrequency (%)
ㅈ 281
18.3%
ㅇ 220
14.4%
ㅎ 206
13.4%
ㄱ 182
11.9%
ㅅ 177
11.6%
ㅌ 151
9.9%
ㄷ 103
 
6.7%
ㅂ 64
 
4.2%
ㅁ 54
 
3.5%
ㅊ 28
 
1.8%
Other values (4) 66
 
4.3%
Hangul
ValueCountFrequency (%)
모 14
14.9%
공 14
14.9%
연 11
11.7%
보 11
11.7%
논 9
9.6%
향 9
9.6%
동 9
9.6%
단 9
9.6%
한 4
 
4.3%
교 2
 
2.1%
Other values (2) 2
 
2.1%

URL
Text

Distinct8667
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T17:29:48.257066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length55
Mean length54.9674
Min length54

Characters and Unicode

Total characters549674
Distinct characters31
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7777 ?
Unique (%)77.8%

Sample

1st rowhttp://lib.kiip.re.kr/search/detail/CATTOT 000000009071
2nd rowhttp://lib.kiip.re.kr/search/detail/CATTOT 000000004155
3rd rowhttp://lib.kiip.re.kr/search/detail/CATTOT 000000014404
4th rowhttp://lib.kiip.re.kr/search/detail/CATTOT 000000021268
5th rowhttp://lib.kiip.re.kr/search/detail/CATTOT 000000004488
ValueCountFrequency (%)
http://lib.kiip.re.kr/search/detail/cattot 9674
49.2%
000000004626 26
 
0.1%
000000001179 23
 
0.1%
000000001408 20
 
0.1%
000000004649 15
 
0.1%
000000005582 12
 
0.1%
000000002105 8
 
< 0.1%
000000001695 8
 
< 0.1%
000000004730 7
 
< 0.1%
000000004229 6
 
< 0.1%
Other values (8658) 9875
50.2%
2023-12-12T17:29:48.531266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 78955
14.4%
/ 50000
 
9.1%
i 40000
 
7.3%
. 30000
 
5.5%
r 30000
 
5.5%
e 30000
 
5.5%
T 30000
 
5.5%
t 30000
 
5.5%
h 20000
 
3.6%
p 20000
 
3.6%
Other values (21) 190719
34.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 270000
49.1%
Decimal Number 120000
21.8%
Other Punctuation 90000
 
16.4%
Uppercase Letter 60000
 
10.9%
Control 9674
 
1.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 40000
14.8%
r 30000
11.1%
e 30000
11.1%
t 30000
11.1%
h 20000
7.4%
p 20000
7.4%
l 20000
7.4%
k 20000
7.4%
a 20000
7.4%
d 10000
 
3.7%
Other values (3) 30000
11.1%
Decimal Number
ValueCountFrequency (%)
0 78955
65.8%
1 8320
 
6.9%
6 4495
 
3.7%
2 4495
 
3.7%
5 4359
 
3.6%
8 4199
 
3.5%
4 4089
 
3.4%
7 4016
 
3.3%
9 3933
 
3.3%
3 3139
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
T 30000
50.0%
C 10000
 
16.7%
O 10000
 
16.7%
A 10000
 
16.7%
Other Punctuation
ValueCountFrequency (%)
/ 50000
55.6%
. 30000
33.3%
: 10000
 
11.1%
Control
ValueCountFrequency (%)
9674
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 330000
60.0%
Common 219674
40.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 40000
12.1%
r 30000
9.1%
e 30000
9.1%
T 30000
9.1%
t 30000
9.1%
h 20000
 
6.1%
p 20000
 
6.1%
l 20000
 
6.1%
k 20000
 
6.1%
a 20000
 
6.1%
Other values (7) 70000
21.2%
Common
ValueCountFrequency (%)
0 78955
35.9%
/ 50000
22.8%
. 30000
 
13.7%
: 10000
 
4.6%
9674
 
4.4%
1 8320
 
3.8%
6 4495
 
2.0%
2 4495
 
2.0%
5 4359
 
2.0%
8 4199
 
1.9%
Other values (4) 15177
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 549674
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 78955
14.4%
/ 50000
 
9.1%
i 40000
 
7.3%
. 30000
 
5.5%
r 30000
 
5.5%
e 30000
 
5.5%
T 30000
 
5.5%
t 30000
 
5.5%
h 20000
 
3.6%
p 20000
 
3.6%
Other values (21) 190719
34.7%

Interactions

2023-12-12T17:29:42.935987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:29:48.611912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번출판년
순번1.0000.915
출판년0.9151.000

Missing values

2023-12-12T17:29:43.077727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:29:43.229110image/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.
2023-12-12T17:29:43.608563image/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

순번서명저자출판사출판년청구기호URL
76147615(바쁜 아침 쉽게 만드는)저칼로리 도시락 60세트윤선혜부즈펌2011641.534http://lib.kiip.re.kr/search/detail/CATTOT 000000009071
22042205The center for intellectual property handbookBonner, Kimberly MNeal schuman2006507.55104http://lib.kiip.re.kr/search/detail/CATTOT 000000004155
92089209(2012 개정 저작권법에 따른)저작권 상담사례 100한국저작권위원회한국저작권위원회2012507.5551http://lib.kiip.re.kr/search/detail/CATTOT 000000014404
1592115922교토에 다녀왔습니다 : 임경선 에세이임경선예담2017816.7http://lib.kiip.re.kr/search/detail/CATTOT 000000021268
25942595국내논문집. 8호최병규<NA>2008507.502http://lib.kiip.re.kr/search/detail/CATTOT 000000004488
1322713228Enforcement of Patents on Geographically Divisible Inventions: An Inquiry into the Standard of Substantive Patent Law Infringement in Cross-Border Constellations (Lex et Res Publica) /Kupzok, AgnieszkaPeter Lang Pub Inc2015507.51104http://lib.kiip.re.kr/search/detail/CATTOT 000000018785
1596915970Supplementary Protection Certificates (SPC) : A Handbook /Dirk BuhlerNomos Verlagsgesellschaft2015507.506102http://lib.kiip.re.kr/search/detail/CATTOT 000000021317
27942795WIPO Gazette of international marks= =Gazette OMPI des marques internationalesWorld intellectual property property organizationWIPO2003507.5344http://lib.kiip.re.kr/search/detail/CATTOT 000000004649
1480114802국내외 지식재산 법제도 비교 분석(부정경쟁방지 및 영업비밀보호에 관한 법률)한국지식재산연구원한국지식재산연구원2016KIIP 2016-022http://lib.kiip.re.kr/search/detail/CATTOT 000000020211
20302031특허실체법조약(SPLT)안 주요쟁점 연구배대헌한국발명진흥회 지적재산권연구센터2002KIIP 2002-008http://lib.kiip.re.kr/search/detail/CATTOT 000000004084
순번서명저자출판사출판년청구기호URL
1074210743韓國で商標お守るために張龍植張龍植特許法律社務所1994507.53803http://lib.kiip.re.kr/search/detail/CATTOT 000000016149
1278912790일본 산업보안관련 법 및 지침홍성삼좋은땅2015507.5082013http://lib.kiip.re.kr/search/detail/CATTOT 000000018375
38013802著作權法の解說千野直邦一橋出版2007507.55803http://lib.kiip.re.kr/search/detail/CATTOT 000000005495
1501415015인터넷포털의 경쟁과 뉴스 콘텐츠의 선택최동욱한국개발연구원(KDI)2017KDI 2017-01ㅇhttp://lib.kiip.re.kr/search/detail/CATTOT 000000020402
47194720경영전략 실천 매뉴얼이승주시그마인사이트그룹2008325.1http://lib.kiip.re.kr/search/detail/CATTOT 000000006287
46314632제1회 지재권연구센터 연구보고서 발표회지식재산권연구센터한국발명진흥회2004KIIP 2004-015http://lib.kiip.re.kr/search/detail/CATTOT 000000006220
1121611217新 각주특허법(제5판)김석준한빛지적소유권센터2014507.518http://lib.kiip.re.kr/search/detail/CATTOT 000000016593
63496350로카르노 협정 가입에 따른 디자인 물품의 특성 및 유사범위에 관한 연구특허청특허청2010KIPO 2010-08ㄹhttp://lib.kiip.re.kr/search/detail/CATTOT 000000007839
88708871한국 일차의료 발전방향의 모색윤희숙한국개발연구원(KDI)2012KDI 2012-05ㅎhttp://lib.kiip.re.kr/search/detail/CATTOT 000000013712
30303031지리적 표시 (GI) 특별보호 대상 확대에 관한 연구임근영한국지식재산연구원2006KIIP 2006-007http://lib.kiip.re.kr/search/detail/CATTOT 000000004821