Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells91
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory634.8 KiB
Average record size in memory65.0 B

Variable types

Numeric1
Text6

Dataset

Description한국지식재산전문도서관 서지정보 입니다
Author한국지식재산연구원
URLhttps://www.data.go.kr/data/3082226/fileData.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:02:14.505273
Analysis finished2023-12-12 23:02:17.317977
Duration2.81 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%
Mean8089.5839
Minimum1
Maximum16122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T08:02:17.379206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile824.9
Q14029.75
median8120.5
Q312166.25
95-th percentile15320.25
Maximum16122
Range16121
Interquartile range (IQR)8136.5

Descriptive statistics

Standard deviation4669.0093
Coefficient of variation (CV)0.5771631
Kurtosis-1.2116745
Mean8089.5839
Median Absolute Deviation (MAD)4068
Skewness-0.0088586843
Sum80895839
Variance21799648
MonotonicityNot monotonic
2023-12-13T08:02:17.497246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13152 1
 
< 0.1%
12842 1
 
< 0.1%
10537 1
 
< 0.1%
15548 1
 
< 0.1%
683 1
 
< 0.1%
2570 1
 
< 0.1%
638 1
 
< 0.1%
13271 1
 
< 0.1%
14687 1
 
< 0.1%
9985 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
12 1
< 0.1%
14 1
< 0.1%
15 1
< 0.1%
ValueCountFrequency (%)
16122 1
< 0.1%
16121 1
< 0.1%
16119 1
< 0.1%
16118 1
< 0.1%
16116 1
< 0.1%
16115 1
< 0.1%
16114 1
< 0.1%
16112 1
< 0.1%
16111 1
< 0.1%
16108 1
< 0.1%

서명
Text

Distinct8454
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T08:02:17.815882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length258
Median length173
Mean length35.7239
Min length1

Characters and Unicode

Total characters357239
Distinct characters2006
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

Unique7464 ?
Unique (%)74.6%

Sample

1st row顧客理解の技術 : ?化を先取りし、?値を創造する
2nd row지식재산권의 효율적인 관리방안에 관한 연구 : 통합 관리 방안을 중심으로
3rd row시간 여행자의 아내, 1-2
4th rowThe Trade-mark reporter . v.9
5th row지식e. Season 3
ValueCountFrequency (%)
3471
 
5.7%
and 1566
 
2.6%
the 1291
 
2.1%
of 1096
 
1.8%
intellectual 721
 
1.2%
property 700
 
1.1%
in 602
 
1.0%
및 570
 
0.9%
law 558
 
0.9%
연구 556
 
0.9%
Other values (16784) 49959
81.8%
2023-12-13T08:02:18.285941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
57021
 
16.0%
e 16051
 
4.5%
t 13480
 
3.8%
n 13243
 
3.7%
a 12257
 
3.4%
o 10795
 
3.0%
i 10685
 
3.0%
r 9166
 
2.6%
s 7057
 
2.0%
l 6771
 
1.9%
Other values (1996) 200713
56.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 135327
37.9%
Other Letter 122377
34.3%
Space Separator 57033
16.0%
Uppercase Letter 19041
 
5.3%
Other Punctuation 9180
 
2.6%
Decimal Number 8914
 
2.5%
Close Punctuation 1784
 
0.5%
Open Punctuation 1779
 
0.5%
Dash Punctuation 1000
 
0.3%
Math Symbol 609
 
0.2%
Other values (7) 195
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 2742
 
2.2%
지 2039
 
1.7%
한 1866
 
1.5%
기 1774
 
1.4%
산 1702
 
1.4%
제 1667
 
1.4%
사 1556
 
1.3%
국 1425
 
1.2%
재 1378
 
1.1%
이 1298
 
1.1%
Other values (1870) 104930
85.7%
Lowercase Letter
ValueCountFrequency (%)
e 16051
11.9%
t 13480
10.0%
n 13243
9.8%
a 12257
9.1%
o 10795
 
8.0%
i 10685
 
7.9%
r 9166
 
6.8%
s 7057
 
5.2%
l 6771
 
5.0%
c 5233
 
3.9%
Other values (18) 30589
22.6%
Uppercase Letter
ValueCountFrequency (%)
P 2515
13.2%
I 2158
11.3%
T 1842
 
9.7%
C 1541
 
8.1%
A 1406
 
7.4%
S 1247
 
6.5%
E 1034
 
5.4%
R 909
 
4.8%
L 852
 
4.5%
D 807
 
4.2%
Other values (16) 4730
24.8%
Other Punctuation
ValueCountFrequency (%)
: 3411
37.2%
, 1348
 
14.7%
? 1327
 
14.5%
. 940
 
10.2%
/ 816
 
8.9%
· 670
 
7.3%
& 294
 
3.2%
' 204
 
2.2%
! 74
 
0.8%
" 32
 
0.3%
Other values (10) 64
 
0.7%
Decimal Number
ValueCountFrequency (%)
0 2339
26.2%
2 2065
23.2%
1 1983
22.2%
3 450
 
5.0%
4 443
 
5.0%
5 399
 
4.5%
9 362
 
4.1%
7 307
 
3.4%
6 286
 
3.2%
8 276
 
3.1%
Other values (3) 4
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 63
35.8%
Ⅱ 47
26.7%
Ⅲ 24
 
13.6%
Ⅳ 19
 
10.8%
Ⅹ 8
 
4.5%
Ⅵ 5
 
2.8%
Ⅶ 4
 
2.3%
Ⅴ 3
 
1.7%
ⅱ 1
 
0.6%
Ⅷ 1
 
0.6%
Math Symbol
ValueCountFrequency (%)
= 513
84.2%
~ 51
 
8.4%
> 12
 
2.0%
< 12
 
2.0%
+ 12
 
2.0%
| 7
 
1.1%
∼ 2
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 1667
93.4%
] 65
 
3.6%
」 40
 
2.2%
〉 6
 
0.3%
』 5
 
0.3%
） 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1666
93.6%
[ 62
 
3.5%
「 40
 
2.2%
〈 6
 
0.3%
『 5
 
0.3%
Space Separator
ValueCountFrequency (%)
57021
> 99.9%
　 12
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 839
83.9%
― 161
 
16.1%
Modifier Symbol
ValueCountFrequency (%)
` 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Control
ValueCountFrequency (%)
3
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%
Other Symbol
ValueCountFrequency (%)
® 1
100.0%
Other Number
ValueCountFrequency (%)
² 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 154544
43.3%
Hangul 98318
27.5%
Common 80318
22.5%
Han 16606
 
4.6%
Hiragana 4213
 
1.2%
Katakana 3240
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 2742
 
2.8%
지 2039
 
2.1%
한 1866
 
1.9%
기 1774
 
1.8%
산 1702
 
1.7%
제 1667
 
1.7%
사 1556
 
1.6%
국 1425
 
1.4%
재 1378
 
1.4%
이 1298
 
1.3%
Other values (885) 80871
82.3%
Han
ValueCountFrequency (%)
法 723
 
4.4%
知 507
 
3.1%
産 483
 
2.9%
特 461
 
2.8%
許 459
 
2.8%
的 456
 
2.7%
財 440
 
2.6%
權 256
 
1.5%
業 246
 
1.5%
務 201
 
1.2%
Other values (834) 12374
74.5%
Katakana
ValueCountFrequency (%)
ン 285
 
8.8%
イ 181
 
5.6%
ス 173
 
5.3%
ト 147
 
4.5%
ア 136
 
4.2%
ド 119
 
3.7%
ジ 112
 
3.5%
ク 89
 
2.7%
ル 87
 
2.7%
ネ 82
 
2.5%
Other values (66) 1829
56.5%
Latin
ValueCountFrequency (%)
e 16051
 
10.4%
t 13480
 
8.7%
n 13243
 
8.6%
a 12257
 
7.9%
o 10795
 
7.0%
i 10685
 
6.9%
r 9166
 
5.9%
s 7057
 
4.6%
l 6771
 
4.4%
c 5233
 
3.4%
Other values (55) 49806
32.2%
Hiragana
ValueCountFrequency (%)
の 1055
25.0%
る 326
 
7.7%
と 309
 
7.3%
に 265
 
6.3%
か 160
 
3.8%
す 144
 
3.4%
た 134
 
3.2%
を 132
 
3.1%
め 93
 
2.2%
ら 86
 
2.0%
Other values (55) 1509
35.8%
Common
ValueCountFrequency (%)
57021
71.0%
: 3411
 
4.2%
0 2339
 
2.9%
2 2065
 
2.6%
1 1983
 
2.5%
) 1667
 
2.1%
( 1666
 
2.1%
, 1348
 
1.7%
? 1327
 
1.7%
. 940
 
1.2%
Other values (51) 6551
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 233699
65.4%
Hangul 98263
27.5%
CJK 16497
 
4.6%
Hiragana 4213
 
1.2%
Katakana 3240
 
0.9%
None 823
 
0.2%
Number Forms 176
 
< 0.1%
Punctuation 162
 
< 0.1%
CJK Compat Ideographs 109
 
< 0.1%
Compat Jamo 55
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
57021
24.4%
e 16051
 
6.9%
t 13480
 
5.8%
n 13243
 
5.7%
a 12257
 
5.2%
o 10795
 
4.6%
i 10685
 
4.6%
r 9166
 
3.9%
s 7057
 
3.0%
l 6771
 
2.9%
Other values (80) 77173
33.0%
Hangul
ValueCountFrequency (%)
의 2742
 
2.8%
지 2039
 
2.1%
한 1866
 
1.9%
기 1774
 
1.8%
산 1702
 
1.7%
제 1667
 
1.7%
사 1556
 
1.6%
국 1425
 
1.5%
재 1378
 
1.4%
이 1298
 
1.3%
Other values (884) 80816
82.2%
Hiragana
ValueCountFrequency (%)
の 1055
25.0%
る 326
 
7.7%
と 309
 
7.3%
に 265
 
6.3%
か 160
 
3.8%
す 144
 
3.4%
た 134
 
3.2%
を 132
 
3.1%
め 93
 
2.2%
ら 86
 
2.0%
Other values (55) 1509
35.8%
CJK
ValueCountFrequency (%)
法 723
 
4.4%
知 507
 
3.1%
産 483
 
2.9%
特 461
 
2.8%
許 459
 
2.8%
的 456
 
2.8%
財 440
 
2.7%
權 256
 
1.6%
業 246
 
1.5%
務 201
 
1.2%
Other values (813) 12265
74.3%
None
ValueCountFrequency (%)
· 670
81.4%
「 40
 
4.9%
」 40
 
4.9%
、 19
 
2.3%
　 12
 
1.5%
〈 6
 
0.7%
〉 6
 
0.7%
』 5
 
0.6%
『 5
 
0.6%
： 4
 
0.5%
Other values (12) 16
 
1.9%
Katakana
ValueCountFrequency (%)
ン 285
 
8.8%
イ 181
 
5.6%
ス 173
 
5.3%
ト 147
 
4.5%
ア 136
 
4.2%
ド 119
 
3.7%
ジ 112
 
3.5%
ク 89
 
2.7%
ル 87
 
2.7%
ネ 82
 
2.5%
Other values (66) 1829
56.5%
Punctuation
ValueCountFrequency (%)
― 161
99.4%
” 1
 
0.6%
Number Forms
ValueCountFrequency (%)
Ⅰ 63
35.8%
Ⅱ 47
26.7%
Ⅲ 24
 
13.6%
Ⅳ 19
 
10.8%
Ⅹ 8
 
4.5%
Ⅵ 5
 
2.8%
Ⅶ 4
 
2.3%
Ⅴ 3
 
1.7%
ⅱ 1
 
0.6%
Ⅷ 1
 
0.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 55
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
理 28
25.7%
不 12
11.0%
論 10
 
9.2%
連 9
 
8.3%
六 8
 
7.3%
量 6
 
5.5%
利 5
 
4.6%
年 5
 
4.6%
歷 4
 
3.7%
立 4
 
3.7%
Other values (11) 18
16.5%
Math Operators
ValueCountFrequency (%)
∼ 2
100.0%

저자
Text

Distinct5443
Distinct (%)54.6%
Missing39
Missing (%)0.4%
Memory size156.2 KiB
2023-12-13T08:02:18.620031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length137
Median length76
Mean length8.1916474
Min length1

Characters and Unicode

Total characters81597
Distinct characters1496
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

Unique4311 ?
Unique (%)43.3%

Sample

1st row池上 孝一
2nd row이상정
3rd row오드리 니페네거
4th rowUnited States Trademark Association
5th rowEBS 지식채널ⓔ
ValueCountFrequency (%)
한국지식재산연구원 670
 
4.5%
특허청 650
 
4.4%
특허심판원 180
 
1.2%
united 81
 
0.5%
states 79
 
0.5%
m 75
 
0.5%
a 72
 
0.5%
david 65
 
0.4%
iip(知的財産硏究所 63
 
0.4%
property 62
 
0.4%
Other values (6755) 12866
86.6%
2023-12-13T08:02:19.152054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4905
 
6.0%
e 3425
 
4.2%
a 2970
 
3.6%
n 2484
 
3.0%
r 2458
 
3.0%
i 2283
 
2.8%
o 2112
 
2.6%
t 1937
 
2.4%
l 1551
 
1.9%
, 1536
 
1.9%
Other values (1486) 55936
68.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37961
46.5%
Lowercase Letter 27862
34.1%
Uppercase Letter 7747
 
9.5%
Space Separator 4909
 
6.0%
Other Punctuation 2471
 
3.0%
Close Punctuation 254
 
0.3%
Open Punctuation 252
 
0.3%
Dash Punctuation 93
 
0.1%
Decimal Number 31
 
< 0.1%
Math Symbol 11
 
< 0.1%
Other values (3) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 1389
 
3.7%
국 1221
 
3.2%
한 1200
 
3.2%
재 1066
 
2.8%
연 1054
 
2.8%
지 1022
 
2.7%
구 1008
 
2.7%
산 981
 
2.6%
허 938
 
2.5%
식 928
 
2.4%
Other values (1404) 27154
71.5%
Lowercase Letter
ValueCountFrequency (%)
e 3425
12.3%
a 2970
10.7%
n 2484
 
8.9%
r 2458
 
8.8%
i 2283
 
8.2%
o 2112
 
7.6%
t 1937
 
7.0%
l 1551
 
5.6%
s 1374
 
4.9%
h 1058
 
3.8%
Other values (17) 6210
22.3%
Uppercase Letter
ValueCountFrequency (%)
P 633
 
8.2%
S 586
 
7.6%
I 553
 
7.1%
M 538
 
6.9%
A 527
 
6.8%
C 483
 
6.2%
J 379
 
4.9%
K 376
 
4.9%
B 373
 
4.8%
R 371
 
4.8%
Other values (16) 2928
37.8%
Other Punctuation
ValueCountFrequency (%)
, 1536
62.2%
. 500
 
20.2%
? 380
 
15.4%
& 37
 
1.5%
' 10
 
0.4%
· 7
 
0.3%
， 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 11
35.5%
3 7
22.6%
2 4
 
12.9%
0 3
 
9.7%
4 3
 
9.7%
5 2
 
6.5%
6 1
 
3.2%
Math Symbol
ValueCountFrequency (%)
< 5
45.5%
> 5
45.5%
| 1
 
9.1%
Space Separator
ValueCountFrequency (%)
4905
99.9%
　 4
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 245
96.5%
] 9
 
3.5%
Open Punctuation
ValueCountFrequency (%)
( 245
97.2%
[ 7
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 75
80.6%
― 18
 
19.4%
Other Symbol
ValueCountFrequency (%)
ⓔ 2
50.0%
㈜ 2
50.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
´ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 35610
43.6%
Hangul 30151
37.0%
Common 8024
 
9.8%
Han 7328
 
9.0%
Katakana 456
 
0.6%
Hiragana 28
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
産 230
 
3.1%
知 203
 
2.8%
財 196
 
2.7%
的 188
 
2.6%
所 171
 
2.3%
究 164
 
2.2%
本 151
 
2.1%
會 149
 
2.0%
硏 130
 
1.8%
日 124
 
1.7%
Other values (736) 5622
76.7%
Hangul
ValueCountFrequency (%)
원 1389
 
4.6%
국 1221
 
4.0%
한 1200
 
4.0%
재 1066
 
3.5%
연 1054
 
3.5%
지 1022
 
3.4%
구 1008
 
3.3%
산 981
 
3.3%
허 938
 
3.1%
식 928
 
3.1%
Other values (579) 19344
64.2%
Katakana
ValueCountFrequency (%)
ン 49
 
10.7%
ク 24
 
5.3%
セ 21
 
4.6%
タ 21
 
4.6%
イ 18
 
3.9%
ル 18
 
3.9%
ト 16
 
3.5%
ッ 15
 
3.3%
プ 15
 
3.3%
ラ 14
 
3.1%
Other values (53) 245
53.7%
Latin
ValueCountFrequency (%)
e 3425
 
9.6%
a 2970
 
8.3%
n 2484
 
7.0%
r 2458
 
6.9%
i 2283
 
6.4%
o 2112
 
5.9%
t 1937
 
5.4%
l 1551
 
4.4%
s 1374
 
3.9%
h 1058
 
3.0%
Other values (44) 13958
39.2%
Common
ValueCountFrequency (%)
4905
61.1%
, 1536
 
19.1%
. 500
 
6.2%
? 380
 
4.7%
) 245
 
3.1%
( 245
 
3.1%
- 75
 
0.9%
& 37
 
0.5%
― 18
 
0.2%
1 11
 
0.1%
Other values (17) 72
 
0.9%
Hiragana
ValueCountFrequency (%)
き 3
10.7%
ゆ 3
10.7%
も 2
 
7.1%
さ 2
 
7.1%
り 2
 
7.1%
ち 2
 
7.1%
い 2
 
7.1%
か 2
 
7.1%
へ 2
 
7.1%
こ 1
 
3.6%
Other values (7) 7
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43599
53.4%
Hangul 30149
36.9%
CJK 7267
 
8.9%
Katakana 456
 
0.6%
CJK Compat Ideographs 61
 
0.1%
Hiragana 28
 
< 0.1%
Punctuation 18
 
< 0.1%
None 16
 
< 0.1%
Enclosed Alphanum 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4905
 
11.3%
e 3425
 
7.9%
a 2970
 
6.8%
n 2484
 
5.7%
r 2458
 
5.6%
i 2283
 
5.2%
o 2112
 
4.8%
t 1937
 
4.4%
l 1551
 
3.6%
, 1536
 
3.5%
Other values (63) 17938
41.1%
Hangul
ValueCountFrequency (%)
원 1389
 
4.6%
국 1221
 
4.0%
한 1200
 
4.0%
재 1066
 
3.5%
연 1054
 
3.5%
지 1022
 
3.4%
구 1008
 
3.3%
산 981
 
3.3%
허 938
 
3.1%
식 928
 
3.1%
Other values (578) 19342
64.2%
CJK
ValueCountFrequency (%)
産 230
 
3.2%
知 203
 
2.8%
財 196
 
2.7%
的 188
 
2.6%
所 171
 
2.4%
究 164
 
2.3%
本 151
 
2.1%
會 149
 
2.1%
硏 130
 
1.8%
日 124
 
1.7%
Other values (717) 5561
76.5%
Katakana
ValueCountFrequency (%)
ン 49
 
10.7%
ク 24
 
5.3%
セ 21
 
4.6%
タ 21
 
4.6%
イ 18
 
3.9%
ル 18
 
3.9%
ト 16
 
3.5%
ッ 15
 
3.3%
プ 15
 
3.3%
ラ 14
 
3.1%
Other values (53) 245
53.7%
CJK Compat Ideographs
ValueCountFrequency (%)
李 22
36.1%
龍 10
16.4%
郎 7
 
11.5%
奈 3
 
4.9%
盧 3
 
4.9%
林 2
 
3.3%
論 2
 
3.3%
良 1
 
1.6%
利 1
 
1.6%
勞 1
 
1.6%
Other values (9) 9
14.8%
Punctuation
ValueCountFrequency (%)
― 18
100.0%
None
ValueCountFrequency (%)
· 7
43.8%
　 4
25.0%
㈜ 2
 
12.5%
， 1
 
6.2%
´ 1
 
6.2%
ß 1
 
6.2%
Hiragana
ValueCountFrequency (%)
き 3
10.7%
ゆ 3
10.7%
も 2
 
7.1%
さ 2
 
7.1%
り 2
 
7.1%
ち 2
 
7.1%
い 2
 
7.1%
か 2
 
7.1%
へ 2
 
7.1%
こ 1
 
3.6%
Other values (7) 7
25.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

출판사
Text

Distinct2849
Distinct (%)28.6%
Missing33
Missing (%)0.3%
Memory size156.2 KiB
2023-12-13T08:02:19.435049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length137
Median length49
Mean length8.718471
Min length1

Characters and Unicode

Total characters86897
Distinct characters962
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

Unique1818 ?
Unique (%)18.2%

Sample

1st rowファ?ストプレス
2nd row한국발명진흥회 지적재산권연구센터
3rd row살림출판사
4th rowGeneral Books
5th row북하우스
ValueCountFrequency (%)
특허청 775
 
6.1%
한국지식재산연구원 608
 
4.8%
press 279
 
2.2%
대외경제정책연구원(kiep 271
 
2.1%
한국지식재산연구원(kiip 247
 
1.9%
한국발명진흥회 241
 
1.9%
지적재산권연구센터 192
 
1.5%
university 173
 
1.4%
특허심판원 173
 
1.4%
oxford 137
 
1.1%
Other values (2478) 9578
75.6%
2023-12-13T08:02:19.820794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4957
 
5.7%
e 2782
 
3.2%
r 2298
 
2.6%
원 2112
 
2.4%
s 2094
 
2.4%
한 2079
 
2.4%
i 1958
 
2.3%
연 1879
 
2.2%
국 1870
 
2.2%
구 1838
 
2.1%
Other values (952) 63030
72.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46030
53.0%
Lowercase Letter 22964
26.4%
Uppercase Letter 9944
 
11.4%
Space Separator 4959
 
5.7%
Open Punctuation 930
 
1.1%
Other Punctuation 930
 
1.1%
Close Punctuation 929
 
1.1%
Decimal Number 118
 
0.1%
Dash Punctuation 83
 
0.1%
Other Symbol 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 2112
 
4.6%
한 2079
 
4.5%
연 1879
 
4.1%
국 1870
 
4.1%
구 1838
 
4.0%
지 1407
 
3.1%
산 1362
 
3.0%
재 1260
 
2.7%
식 1046
 
2.3%
특 1016
 
2.2%
Other values (870) 30161
65.5%
Uppercase Letter
ValueCountFrequency (%)
I 1669
16.8%
P 1593
16.0%
K 905
 
9.1%
E 850
 
8.5%
S 462
 
4.6%
O 454
 
4.6%
A 439
 
4.4%
L 392
 
3.9%
W 343
 
3.4%
B 341
 
3.4%
Other values (19) 2496
25.1%
Lowercase Letter
ValueCountFrequency (%)
e 2782
12.1%
r 2298
10.0%
s 2094
 
9.1%
i 1958
 
8.5%
a 1806
 
7.9%
o 1611
 
7.0%
n 1601
 
7.0%
l 1204
 
5.2%
t 1176
 
5.1%
d 823
 
3.6%
Other values (16) 5611
24.4%
Other Punctuation
ValueCountFrequency (%)
? 664
71.4%
& 84
 
9.0%
, 80
 
8.6%
. 57
 
6.1%
: 15
 
1.6%
/ 9
 
1.0%
· 8
 
0.9%
' 5
 
0.5%
# 4
 
0.4%
; 3
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 56
47.5%
2 52
44.1%
8 5
 
4.2%
0 2
 
1.7%
3 2
 
1.7%
5 1
 
0.8%
Space Separator
ValueCountFrequency (%)
4957
> 99.9%
　 2
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 928
99.8%
[ 2
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 927
99.8%
] 2
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 66
79.5%
― 17
 
20.5%
Other Symbol
ValueCountFrequency (%)
㈜ 9
100.0%
Math Symbol
ValueCountFrequency (%)
| 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38662
44.5%
Latin 32908
37.9%
Common 7950
 
9.1%
Han 6665
 
7.7%
Katakana 653
 
0.8%
Hiragana 59
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 2112
 
5.5%
한 2079
 
5.4%
연 1879
 
4.9%
국 1870
 
4.8%
구 1838
 
4.8%
지 1407
 
3.6%
산 1362
 
3.5%
재 1260
 
3.3%
식 1046
 
2.7%
특 1016
 
2.6%
Other values (461) 22793
59.0%
Han
ValueCountFrequency (%)
社 387
 
5.8%
會 276
 
4.1%
協 271
 
4.1%
産 249
 
3.7%
日 201
 
3.0%
明 185
 
2.8%
業 165
 
2.5%
經 163
 
2.4%
本 159
 
2.4%
財 159
 
2.4%
Other values (312) 4450
66.8%
Katakana
ValueCountFrequency (%)
ン 79
 
12.1%
イ 45
 
6.9%
ド 40
 
6.1%
ス 33
 
5.1%
タ 31
 
4.7%
セ 28
 
4.3%
ダ 25
 
3.8%
ヤ 24
 
3.7%
モ 24
 
3.7%
ア 20
 
3.1%
Other values (55) 304
46.6%
Latin
ValueCountFrequency (%)
e 2782
 
8.5%
r 2298
 
7.0%
s 2094
 
6.4%
i 1958
 
5.9%
a 1806
 
5.5%
I 1669
 
5.1%
o 1611
 
4.9%
n 1601
 
4.9%
P 1593
 
4.8%
l 1204
 
3.7%
Other values (45) 14292
43.4%
Common
ValueCountFrequency (%)
4957
62.4%
( 928
 
11.7%
) 927
 
11.7%
? 664
 
8.4%
& 84
 
1.1%
, 80
 
1.0%
- 66
 
0.8%
. 57
 
0.7%
1 56
 
0.7%
2 52
 
0.7%
Other values (16) 79
 
1.0%
Hiragana
ValueCountFrequency (%)
ん 7
 
11.9%
か 6
 
10.2%
き 4
 
6.8%
ょ 3
 
5.1%
ぎ 3
 
5.1%
せ 3
 
5.1%
う 3
 
5.1%
い 3
 
5.1%
の 3
 
5.1%
る 3
 
5.1%
Other values (13) 21
35.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40827
47.0%
Hangul 38653
44.5%
CJK 6656
 
7.7%
Katakana 653
 
0.8%
Hiragana 59
 
0.1%
None 23
 
< 0.1%
Punctuation 17
 
< 0.1%
CJK Compat Ideographs 9
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4957
 
12.1%
e 2782
 
6.8%
r 2298
 
5.6%
s 2094
 
5.1%
i 1958
 
4.8%
a 1806
 
4.4%
I 1669
 
4.1%
o 1611
 
3.9%
n 1601
 
3.9%
P 1593
 
3.9%
Other values (64) 18458
45.2%
Hangul
ValueCountFrequency (%)
원 2112
 
5.5%
한 2079
 
5.4%
연 1879
 
4.9%
국 1870
 
4.8%
구 1838
 
4.8%
지 1407
 
3.6%
산 1362
 
3.5%
재 1260
 
3.3%
식 1046
 
2.7%
특 1016
 
2.6%
Other values (460) 22784
58.9%
CJK
ValueCountFrequency (%)
社 387
 
5.8%
會 276
 
4.1%
協 271
 
4.1%
産 249
 
3.7%
日 201
 
3.0%
明 185
 
2.8%
業 165
 
2.5%
經 163
 
2.4%
本 159
 
2.4%
財 159
 
2.4%
Other values (307) 4441
66.7%
Katakana
ValueCountFrequency (%)
ン 79
 
12.1%
イ 45
 
6.9%
ド 40
 
6.1%
ス 33
 
5.1%
タ 31
 
4.7%
セ 28
 
4.3%
ダ 25
 
3.8%
ヤ 24
 
3.7%
モ 24
 
3.7%
ア 20
 
3.1%
Other values (55) 304
46.6%
Punctuation
ValueCountFrequency (%)
― 17
100.0%
None
ValueCountFrequency (%)
㈜ 9
39.1%
· 8
34.8%
　 2
 
8.7%
Ｉ 1
 
4.3%
Ｌ 1
 
4.3%
Ｓ 1
 
4.3%
＆ 1
 
4.3%
Hiragana
ValueCountFrequency (%)
ん 7
 
11.9%
か 6
 
10.2%
き 4
 
6.8%
ょ 3
 
5.1%
ぎ 3
 
5.1%
せ 3
 
5.1%
う 3
 
5.1%
い 3
 
5.1%
の 3
 
5.1%
る 3
 
5.1%
Other values (13) 21
35.6%
CJK Compat Ideographs
ValueCountFrequency (%)
率 3
33.3%
連 2
22.2%
金 2
22.2%
聯 1
 
11.1%
龍 1
 
11.1%

출판년
Text

Distinct65
Distinct (%)0.7%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-13T08:02:19.995286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.0005001
Min length4

Characters and Unicode

Total characters40001
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)0.2%

Sample

1st row2005
2nd row1998
3rd row2009
4th row2013
5th row2008
ValueCountFrequency (%)
2011 844
 
8.5%
2008 795
 
8.0%
2013 757
 
7.6%
2010 711
 
7.1%
2012 701
 
7.0%
2009 638
 
6.4%
2015 609
 
6.1%
2016 590
 
5.9%
2017 568
 
5.7%
2014 554
 
5.6%
Other values (50) 3206
32.1%
2023-12-13T08:02:20.301872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 14025
35.1%
2 10226
25.6%
1 7170
17.9%
9 2087
 
5.2%
7 1248
 
3.1%
3 1166
 
2.9%
8 1070
 
2.7%
6 1068
 
2.7%
5 951
 
2.4%
4 881
 
2.2%
Other values (2) 109
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39892
99.7%
Space Separator 104
 
0.3%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14025
35.2%
2 10226
25.6%
1 7170
18.0%
9 2087
 
5.2%
7 1248
 
3.1%
3 1166
 
2.9%
8 1070
 
2.7%
6 1068
 
2.7%
5 951
 
2.4%
4 881
 
2.2%
Space Separator
ValueCountFrequency (%)
104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 40001
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 14025
35.1%
2 10226
25.6%
1 7170
17.9%
9 2087
 
5.2%
7 1248
 
3.1%
3 1166
 
2.9%
8 1070
 
2.7%
6 1068
 
2.7%
5 951
 
2.4%
4 881
 
2.2%
Other values (2) 109
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40001
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 14025
35.1%
2 10226
25.6%
1 7170
17.9%
9 2087
 
5.2%
7 1248
 
3.1%
3 1166
 
2.9%
8 1070
 
2.7%
6 1068
 
2.7%
5 951
 
2.4%
4 881
 
2.2%
Other values (2) 109
 
0.3%

청구기호
Text

Distinct7508
Distinct (%)75.2%
Missing18
Missing (%)0.2%
Memory size156.2 KiB
2023-12-13T08:02:20.623369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length12.703967
Min length3

Characters and Unicode

Total characters126811
Distinct characters418
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6135 ?
Unique (%)61.5%

Sample

1st row325.50 지51ㄱ
2nd rowKIIP 1998-002
3rd row823 오26ㅅ
4th row507.53104 U58t
5th row020.13 ebㅈ
ValueCountFrequency (%)
kiip 1037
 
5.2%
kipo 666
 
3.3%
kiep 368
 
1.8%
seminar 197
 
1.0%
kipt 172
 
0.9%
etc 150
 
0.8%
507.518 149
 
0.7%
forum 145
 
0.7%
kdi 141
 
0.7%
507.50804 108
 
0.5%
Other values (7924) 16812
84.3%
2023-12-13T08:02:21.047185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16713
13.2%
5 12795
 
10.1%
1 10403
 
8.2%
9965
 
7.9%
2 9233
 
7.3%
3 6702
 
5.3%
7 6317
 
5.0%
. 6102
 
4.8%
4 5060
 
4.0%
8 4383
 
3.5%
Other values (408) 39138
30.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 79026
62.3%
Uppercase Letter 14164
 
11.2%
Other Letter 10348
 
8.2%
Space Separator 9967
 
7.9%
Other Punctuation 6139
 
4.8%
Lowercase Letter 4175
 
3.3%
Dash Punctuation 2910
 
2.3%
Open Punctuation 41
 
< 0.1%
Close Punctuation 41
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ㅈ 1033
 
10.0%
ㅅ 828
 
8.0%
ㅇ 782
 
7.6%
ㄱ 762
 
7.4%
ㅎ 471
 
4.6%
ㅌ 469
 
4.5%
김 411
 
4.0%
ㅂ 368
 
3.6%
ㄷ 346
 
3.3%
이 299
 
2.9%
Other values (340) 4579
44.3%
Uppercase Letter
ValueCountFrequency (%)
I 3875
27.4%
P 2605
18.4%
K 2598
18.3%
O 853
 
6.0%
E 699
 
4.9%
T 503
 
3.6%
S 415
 
2.9%
C 401
 
2.8%
D 255
 
1.8%
A 208
 
1.5%
Other values (15) 1752
12.4%
Lowercase Letter
ValueCountFrequency (%)
i 659
15.8%
m 442
10.6%
r 421
10.1%
e 344
8.2%
p 317
 
7.6%
a 312
 
7.5%
n 256
 
6.1%
c 200
 
4.8%
u 198
 
4.7%
o 190
 
4.6%
Other values (14) 836
20.0%
Decimal Number
ValueCountFrequency (%)
0 16713
21.1%
5 12795
16.2%
1 10403
13.2%
2 9233
11.7%
3 6702
8.5%
7 6317
 
8.0%
4 5060
 
6.4%
8 4383
 
5.5%
6 3985
 
5.0%
9 3435
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 6102
99.4%
& 22
 
0.4%
? 9
 
0.1%
/ 6
 
0.1%
Space Separator
ValueCountFrequency (%)
9965
> 99.9%
　 2
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 2910
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 98124
77.4%
Latin 18339
 
14.5%
Hangul 10334
 
8.1%
Hiragana 14
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
ㅈ 1033
 
10.0%
ㅅ 828
 
8.0%
ㅇ 782
 
7.6%
ㄱ 762
 
7.4%
ㅎ 471
 
4.6%
ㅌ 469
 
4.5%
김 411
 
4.0%
ㅂ 368
 
3.6%
ㄷ 346
 
3.3%
이 299
 
2.9%
Other values (329) 4565
44.2%
Latin
ValueCountFrequency (%)
I 3875
21.1%
P 2605
14.2%
K 2598
14.2%
O 853
 
4.7%
E 699
 
3.8%
i 659
 
3.6%
T 503
 
2.7%
m 442
 
2.4%
r 421
 
2.3%
S 415
 
2.3%
Other values (39) 5269
28.7%
Common
ValueCountFrequency (%)
0 16713
17.0%
5 12795
13.0%
1 10403
10.6%
9965
10.2%
2 9233
9.4%
3 6702
6.8%
7 6317
 
6.4%
. 6102
 
6.2%
4 5060
 
5.2%
8 4383
 
4.5%
Other values (9) 10451
10.7%
Hiragana
ValueCountFrequency (%)
へ 3
21.4%
ば 2
14.3%
ふ 1
 
7.1%
に 1
 
7.1%
ほ 1
 
7.1%
れ 1
 
7.1%
そ 1
 
7.1%
あ 1
 
7.1%
べ 1
 
7.1%
ぽ 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 116461
91.8%
Compat Jamo 5867
 
4.6%
Hangul 4467
 
3.5%
Hiragana 14
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16713
14.4%
5 12795
11.0%
1 10403
 
8.9%
9965
 
8.6%
2 9233
 
7.9%
3 6702
 
5.8%
7 6317
 
5.4%
. 6102
 
5.2%
4 5060
 
4.3%
8 4383
 
3.8%
Other values (57) 28788
24.7%
Compat Jamo
ValueCountFrequency (%)
ㅈ 1033
17.6%
ㅅ 828
14.1%
ㅇ 782
13.3%
ㄱ 762
13.0%
ㅎ 471
8.0%
ㅌ 469
8.0%
ㅂ 368
 
6.3%
ㄷ 346
 
5.9%
ㅁ 261
 
4.4%
ㅊ 152
 
2.6%
Other values (7) 395
 
6.7%
Hangul
ValueCountFrequency (%)
김 411
 
9.2%
이 299
 
6.7%
한 253
 
5.7%
박 171
 
3.8%
정 143
 
3.2%
최 97
 
2.2%
특 88
 
2.0%
조 87
 
1.9%
강 73
 
1.6%
송 71
 
1.6%
Other values (312) 2774
62.1%
Hiragana
ValueCountFrequency (%)
へ 3
21.4%
ば 2
14.3%
ふ 1
 
7.1%
に 1
 
7.1%
ほ 1
 
7.1%
れ 1
 
7.1%
そ 1
 
7.1%
あ 1
 
7.1%
べ 1
 
7.1%
ぽ 1
 
7.1%
None
ValueCountFrequency (%)
　 2
100.0%

URL
Text

Distinct8634
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T08:02:21.237027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length55
Mean length54.9678
Min length54

Characters and Unicode

Total characters549678
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

Unique7736 ?
Unique (%)77.4%

Sample

1st rowhttp://lib.kiip.re.kr/search/detail/CATTOT 000000018707
2nd rowhttp://lib.kiip.re.kr/search/detail/CATTOT 000000004049
3rd rowhttp://lib.kiip.re.kr/search/detail/CATTOT 000000007051
4th rowhttp://lib.kiip.re.kr/search/detail/CATTOT 000000015517
5th rowhttp://lib.kiip.re.kr/search/detail/CATTOT 000000005724
ValueCountFrequency (%)
http://lib.kiip.re.kr/search/detail/cattot 9678
49.2%
000000004626 28
 
0.1%
000000001408 19
 
0.1%
000000001179 17
 
0.1%
000000004649 11
 
0.1%
000000005582 9
 
< 0.1%
000000001695 8
 
< 0.1%
000000001483 8
 
< 0.1%
000000001763 7
 
< 0.1%
000000004049 7
 
< 0.1%
Other values (8625) 9886
50.2%
2023-12-13T08:02:21.586458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 78986
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) 190692
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 9678
 
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 78986
65.8%
1 8235
 
6.9%
2 4527
 
3.8%
6 4491
 
3.7%
5 4321
 
3.6%
8 4292
 
3.6%
4 4073
 
3.4%
7 4040
 
3.4%
9 3882
 
3.2%
3 3153
 
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 (%)
9678
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 330000
60.0%
Common 219678
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 78986
36.0%
/ 50000
22.8%
. 30000
 
13.7%
: 10000
 
4.6%
9678
 
4.4%
1 8235
 
3.7%
2 4527
 
2.1%
6 4491
 
2.0%
5 4321
 
2.0%
8 4292
 
2.0%
Other values (4) 15148
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 549678
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 78986
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) 190692
34.7%

Interactions

2023-12-13T08:02:16.904888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:02:21.663395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번출판년
순번1.0000.916
출판년0.9161.000

Missing values

2023-12-13T08:02:17.031185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:02:17.135419image/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.
2023-12-13T08:02:17.255322image/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
1315113152顧客理解の技術 : ?化を先取りし、?値を創造する池上 孝一ファ?ストプレス2005325.50 지51ㄱhttp://lib.kiip.re.kr/search/detail/CATTOT 000000018707
18811882지식재산권의 효율적인 관리방안에 관한 연구 : 통합 관리 방안을 중심으로이상정한국발명진흥회 지적재산권연구센터1998KIIP 1998-002http://lib.kiip.re.kr/search/detail/CATTOT 000000004049
55725573시간 여행자의 아내, 1-2오드리 니페네거살림출판사2009823 오26ㅅhttp://lib.kiip.re.kr/search/detail/CATTOT 000000007051
1007710078The Trade-mark reporter . v.9United States Trademark AssociationGeneral Books2013507.53104 U58thttp://lib.kiip.re.kr/search/detail/CATTOT 000000015517
40644065지식e. Season 3EBS 지식채널ⓔ북하우스2008020.13 ebㅈhttp://lib.kiip.re.kr/search/detail/CATTOT 000000005724
1134411345소프트웨어 라이선스의 법적 효력에 관한 연구남희섭한국저작권위원회2013KCC 2013-14ㅅhttp://lib.kiip.re.kr/search/detail/CATTOT 000000016733
40514052라파엘로, 정신의 힘프레드 베랑스문학동네2008650.99 프28ㄹhttp://lib.kiip.re.kr/search/detail/CATTOT 000000005710
1386113862タイにおける特許?取得·行使上の留意点日本知的財産協會JIPA(日本知的財産協會)2016JIPA 2016-006http://lib.kiip.re.kr/search/detail/CATTOT 000000019387
669670MOTの經營學松島克守日經BP社2004507.5051013 송24ㄷhttp://lib.kiip.re.kr/search/detail/CATTOT 000000001054
1076810769特許情報の活用法 : 技術開?は特許文?から探せ高畑 正也?明協?1988507.51503 고62ㅌhttp://lib.kiip.re.kr/search/detail/CATTOT 000000016174
순번서명저자출판사출판년청구기호URL
16651666(六訂版) 知的財産法宋永植세창출판사2003507.508 송93ㅈhttp://lib.kiip.re.kr/search/detail/CATTOT 000000001902
1500515006비트코인 현상, 블록체인 2.0 : 가상화폐, 금융혁명 그 이상을 꿈꾸다마이클 J.케이시미래의 창2017327.2 마98ㅂhttp://lib.kiip.re.kr/search/detail/CATTOT 000000020393
1585915860눈보라 체이스히가시노 게이고소미디어2017833.6 히11ㄴhttp://lib.kiip.re.kr/search/detail/CATTOT 000000021207
99419942비즈니스 모델: 성장하는 회사와 추락하는 회사의 결정적 차이왓슨, 데이비드부크온: 한국투자교육연구소2013658.4012 왓56ㅂhttp://lib.kiip.re.kr/search/detail/CATTOT 000000015430
66706671토지 9박경리나남2010813.6 박13ㅌhttp://lib.kiip.re.kr/search/detail/CATTOT 000000008134
88618862Innovation and Its Discontents : How Our Broken Patent System is Endangering Innovation and Progress, and What to Do About ItJaffe, Adam BPrinceton University Press2006507.5004 J23ihttp://lib.kiip.re.kr/search/detail/CATTOT 000000013705
1510215103Recent Trends in Trademark Protection(2013 Edition) : Leading Lawyers on Educating Clients, Understanding the Impact of Technology, and Navigating the Current Marketplace /Cheryl P.LebASPATORE2013507.53504 C523rhttp://lib.kiip.re.kr/search/detail/CATTOT 000000020495
1450814509Intellectual Property: Private Rights the Public Interest, and the Regulation of Creative Activity/Shubha GhoshWest Academic2016507.50104 S562ihttp://lib.kiip.re.kr/search/detail/CATTOT 000000019953
83048305ICT 표준화전략맵 2012 : 종합보고서1 실감융합미디어한국정보통신기술협회한국정보통신기술협회2012GOV 2012-12ihttp://lib.kiip.re.kr/search/detail/CATTOT 000000012699
1479014791지식재산 분쟁 현황 조사연구 : 2016년도 우리기업의 국내외 영업비밀 피침해 실태조사한국지식재산연구원한국지식재산연구원2016KIIP 2016-026http://lib.kiip.re.kr/search/detail/CATTOT 000000020207