Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells209
Missing cells (%)0.3%
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/15055896/fileData.do

Alerts

순번 has unique valuesUnique
URL has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:11:44.207328
Analysis finished2023-12-12 12:11:47.489045
Duration3.28 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%
Mean7121.7015
Minimum1
Maximum14246
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T21:11:47.555749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile745.85
Q13563.5
median7114.5
Q310690.25
95-th percentile13530.1
Maximum14246
Range14245
Interquartile range (IQR)7126.75

Descriptive statistics

Standard deviation4106.269
Coefficient of variation (CV)0.57658539
Kurtosis-1.2033785
Mean7121.7015
Median Absolute Deviation (MAD)3563.5
Skewness0.0039610156
Sum71217015
Variance16861445
MonotonicityNot monotonic
2023-12-12T21:11:47.689223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12508 1
 
< 0.1%
11486 1
 
< 0.1%
12099 1
 
< 0.1%
1934 1
 
< 0.1%
11637 1
 
< 0.1%
4632 1
 
< 0.1%
2758 1
 
< 0.1%
1073 1
 
< 0.1%
1311 1
 
< 0.1%
7187 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%
9 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
ValueCountFrequency (%)
14246 1
< 0.1%
14244 1
< 0.1%
14243 1
< 0.1%
14240 1
< 0.1%
14238 1
< 0.1%
14237 1
< 0.1%
14236 1
< 0.1%
14235 1
< 0.1%
14234 1
< 0.1%
14233 1
< 0.1%

서명
Text

Distinct9664
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T21:11:48.113073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length255
Median length180
Mean length34.9498
Min length1

Characters and Unicode

Total characters349498
Distinct characters2083
Distinct categories17 ?
Distinct scripts7 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9467 ?
Unique (%)94.7%

Sample

1st row한국출판연감 : 자료편. 2013 =
2nd rowG2 전쟁 : 슈퍼 달러의 대반격
3rd row新??照改正米?特許法?務マニュアル: 改正米?特許法、規則及びガイドラインの解?
4th rowANNUAL REPORT 1997
5th row끌림: 1994-2005 Travel notes
ValueCountFrequency (%)
2881
 
5.0%
and 1696
 
3.0%
the 1323
 
2.3%
of 1188
 
2.1%
intellectual 754
 
1.3%
property 722
 
1.3%
law 651
 
1.1%
in 635
 
1.1%
및 417
 
0.7%
patent 400
 
0.7%
Other values (18200) 46702
81.4%
2023-12-12T21:11:48.704280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
53189
 
15.2%
e 17664
 
5.1%
t 14335
 
4.1%
n 14136
 
4.0%
a 13189
 
3.8%
i 11736
 
3.4%
o 11713
 
3.4%
r 10641
 
3.0%
s 7567
 
2.2%
l 7443
 
2.1%
Other values (2073) 187885
53.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 149335
42.7%
Other Letter 107661
30.8%
Space Separator 53209
 
15.2%
Uppercase Letter 18132
 
5.2%
Other Punctuation 8745
 
2.5%
Decimal Number 7121
 
2.0%
Close Punctuation 1775
 
0.5%
Open Punctuation 1773
 
0.5%
Dash Punctuation 973
 
0.3%
Math Symbol 566
 
0.2%
Other values (7) 208
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 2300
 
2.1%
한 1489
 
1.4%
지 1462
 
1.4%
기 1434
 
1.3%
제 1326
 
1.2%
사 1310
 
1.2%
이 1283
 
1.2%
법 1121
 
1.0%
の 1110
 
1.0%
산 1084
 
1.0%
Other values (1919) 93742
87.1%
Lowercase Letter
ValueCountFrequency (%)
e 17664
11.8%
t 14335
9.6%
n 14136
9.5%
a 13189
 
8.8%
i 11736
 
7.9%
o 11713
 
7.8%
r 10641
 
7.1%
s 7567
 
5.1%
l 7443
 
5.0%
c 5932
 
4.0%
Other values (37) 34979
23.4%
Uppercase Letter
ValueCountFrequency (%)
P 2024
11.2%
I 1980
10.9%
T 1888
 
10.4%
C 1572
 
8.7%
A 1409
 
7.8%
S 1216
 
6.7%
E 998
 
5.5%
R 798
 
4.4%
L 765
 
4.2%
M 730
 
4.0%
Other values (19) 4752
26.2%
Other Punctuation
ValueCountFrequency (%)
: 3213
36.7%
? 1538
17.6%
, 1312
15.0%
. 755
 
8.6%
/ 662
 
7.6%
· 616
 
7.0%
& 247
 
2.8%
' 227
 
2.6%
! 73
 
0.8%
" 30
 
0.3%
Other values (11) 72
 
0.8%
Decimal Number
ValueCountFrequency (%)
0 1927
27.1%
2 1694
23.8%
1 1501
21.1%
3 388
 
5.4%
9 329
 
4.6%
4 317
 
4.5%
5 304
 
4.3%
7 244
 
3.4%
8 211
 
3.0%
6 202
 
2.8%
Other values (4) 4
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 55
28.4%
Ⅱ 51
26.3%
Ⅹ 27
13.9%
Ⅲ 24
12.4%
Ⅳ 14
 
7.2%
Ⅵ 8
 
4.1%
Ⅶ 4
 
2.1%
Ⅷ 4
 
2.1%
Ⅴ 3
 
1.5%
Ⅸ 3
 
1.5%
Math Symbol
ValueCountFrequency (%)
= 457
80.7%
~ 47
 
8.3%
+ 33
 
5.8%
< 12
 
2.1%
> 12
 
2.1%
∼ 3
 
0.5%
| 1
 
0.2%
＋ 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 1662
93.6%
] 53
 
3.0%
」 49
 
2.8%
〉 5
 
0.3%
』 4
 
0.2%
） 1
 
0.1%
〕 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1663
93.8%
[ 51
 
2.9%
「 49
 
2.8%
〈 5
 
0.3%
『 4
 
0.2%
〔 1
 
0.1%
Space Separator
ValueCountFrequency (%)
53189
> 99.9%
　 20
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 812
83.5%
― 161
 
16.5%
Final Punctuation
ValueCountFrequency (%)
’ 2
66.7%
” 1
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Other Number
ValueCountFrequency (%)
₂ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Other Symbol
ValueCountFrequency (%)
〓 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 167600
48.0%
Hangul 81938
23.4%
Common 74176
21.2%
Han 17861
 
5.1%
Hiragana 4300
 
1.2%
Katakana 3562
 
1.0%
Cyrillic 61
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 2300
 
2.8%
한 1489
 
1.8%
지 1462
 
1.8%
기 1434
 
1.8%
제 1326
 
1.6%
사 1310
 
1.6%
이 1283
 
1.6%
법 1121
 
1.4%
산 1084
 
1.3%
국 1044
 
1.3%
Other values (898) 68085
83.1%
Han
ValueCountFrequency (%)
法 858
 
4.8%
知 507
 
2.8%
産 487
 
2.7%
特 469
 
2.6%
的 467
 
2.6%
許 467
 
2.6%
財 447
 
2.5%
權 315
 
1.8%
國 245
 
1.4%
業 239
 
1.3%
Other values (870) 13360
74.8%
Katakana
ValueCountFrequency (%)
ン 314
 
8.8%
イ 199
 
5.6%
ス 195
 
5.5%
ト 156
 
4.4%
ア 134
 
3.8%
ド 124
 
3.5%
ジ 123
 
3.5%
ル 120
 
3.4%
ネ 100
 
2.8%
ラ 94
 
2.6%
Other values (64) 2003
56.2%
Common
ValueCountFrequency (%)
53189
71.7%
: 3213
 
4.3%
0 1927
 
2.6%
2 1694
 
2.3%
( 1663
 
2.2%
) 1662
 
2.2%
? 1538
 
2.1%
1 1501
 
2.0%
, 1312
 
1.8%
- 812
 
1.1%
Other values (57) 5665
 
7.6%
Hiragana
ValueCountFrequency (%)
の 1110
25.8%
る 332
 
7.7%
と 330
 
7.7%
に 271
 
6.3%
か 156
 
3.6%
す 151
 
3.5%
た 139
 
3.2%
を 129
 
3.0%
め 106
 
2.5%
て 87
 
2.0%
Other values (57) 1489
34.6%
Latin
ValueCountFrequency (%)
e 17664
 
10.5%
t 14335
 
8.6%
n 14136
 
8.4%
a 13189
 
7.9%
i 11736
 
7.0%
o 11713
 
7.0%
r 10641
 
6.3%
s 7567
 
4.5%
l 7443
 
4.4%
c 5932
 
3.5%
Other values (55) 53244
31.8%
Cyrillic
ValueCountFrequency (%)
о 10
16.4%
и 6
 
9.8%
с 6
 
9.8%
а 4
 
6.6%
т 3
 
4.9%
д 3
 
4.9%
в 3
 
4.9%
р 3
 
4.9%
л 3
 
4.9%
н 3
 
4.9%
Other values (12) 17
27.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 240613
68.8%
Hangul 81923
 
23.4%
CJK 17715
 
5.1%
Hiragana 4300
 
1.2%
Katakana 3562
 
1.0%
None 801
 
0.2%
Number Forms 194
 
0.1%
Punctuation 165
 
< 0.1%
CJK Compat Ideographs 146
 
< 0.1%
Cyrillic 61
 
< 0.1%
Other values (2) 18
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
53189
22.1%
e 17664
 
7.3%
t 14335
 
6.0%
n 14136
 
5.9%
a 13189
 
5.5%
i 11736
 
4.9%
o 11713
 
4.9%
r 10641
 
4.4%
s 7567
 
3.1%
l 7443
 
3.1%
Other values (79) 79000
32.8%
Hangul
ValueCountFrequency (%)
의 2300
 
2.8%
한 1489
 
1.8%
지 1462
 
1.8%
기 1434
 
1.8%
제 1326
 
1.6%
사 1310
 
1.6%
이 1283
 
1.6%
법 1121
 
1.4%
산 1084
 
1.3%
국 1044
 
1.3%
Other values (897) 68070
83.1%
Hiragana
ValueCountFrequency (%)
の 1110
25.8%
る 332
 
7.7%
と 330
 
7.7%
に 271
 
6.3%
か 156
 
3.6%
す 151
 
3.5%
た 139
 
3.2%
を 129
 
3.0%
め 106
 
2.5%
て 87
 
2.0%
Other values (57) 1489
34.6%
CJK
ValueCountFrequency (%)
法 858
 
4.8%
知 507
 
2.9%
産 487
 
2.7%
特 469
 
2.6%
的 467
 
2.6%
許 467
 
2.6%
財 447
 
2.5%
權 315
 
1.8%
國 245
 
1.4%
業 239
 
1.3%
Other values (842) 13214
74.6%
None
ValueCountFrequency (%)
· 616
76.9%
」 49
 
6.1%
「 49
 
6.1%
　 20
 
2.5%
、 18
 
2.2%
＆ 7
 
0.9%
〈 5
 
0.6%
〉 5
 
0.6%
』 4
 
0.5%
『 4
 
0.5%
Other values (17) 24
 
3.0%
Katakana
ValueCountFrequency (%)
ン 314
 
8.8%
イ 199
 
5.6%
ス 195
 
5.5%
ト 156
 
4.4%
ア 134
 
3.8%
ド 124
 
3.5%
ジ 123
 
3.5%
ル 120
 
3.4%
ネ 100
 
2.8%
ラ 94
 
2.6%
Other values (64) 2003
56.2%
Punctuation
ValueCountFrequency (%)
― 161
97.6%
’ 2
 
1.2%
‘ 1
 
0.6%
” 1
 
0.6%
Number Forms
ValueCountFrequency (%)
Ⅰ 55
28.4%
Ⅱ 51
26.3%
Ⅹ 27
13.9%
Ⅲ 24
12.4%
Ⅳ 14
 
7.2%
Ⅵ 8
 
4.1%
Ⅶ 4
 
2.1%
Ⅷ 4
 
2.1%
Ⅴ 3
 
1.5%
Ⅸ 3
 
1.5%
CJK Compat Ideographs
ValueCountFrequency (%)
理 40
27.4%
論 16
 
11.0%
六 13
 
8.9%
不 9
 
6.2%
連 8
 
5.5%
歷 6
 
4.1%
年 6
 
4.1%
金 5
 
3.4%
利 5
 
3.4%
立 5
 
3.4%
Other values (18) 33
22.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 15
100.0%
Cyrillic
ValueCountFrequency (%)
о 10
16.4%
и 6
 
9.8%
с 6
 
9.8%
а 4
 
6.6%
т 3
 
4.9%
д 3
 
4.9%
в 3
 
4.9%
р 3
 
4.9%
л 3
 
4.9%
н 3
 
4.9%
Other values (12) 17
27.9%
Math Operators
ValueCountFrequency (%)
∼ 3
100.0%

저자
Text

Distinct6318
Distinct (%)63.6%
Missing72
Missing (%)0.7%
Memory size156.2 KiB
2023-12-12T21:11:48.993076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length137
Median length75
Mean length8.5362611
Min length1

Characters and Unicode

Total characters84748
Distinct characters1641
Distinct categories13 ?
Distinct scripts7 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5259 ?
Unique (%)53.0%

Sample

1st row대한출판문화협회
2nd row레이쓰하이
3rd row河野 英仁
4th row특허청
5th row이병률
ValueCountFrequency (%)
특허청 568
 
3.6%
한국지식재산연구원 275
 
1.8%
특허심판원 165
 
1.1%
united 100
 
0.6%
states 99
 
0.6%
m 80
 
0.5%
a 77
 
0.5%
david 74
 
0.5%
office 72
 
0.5%
j 67
 
0.4%
Other values (7777) 14047
89.9%
2023-12-12T21:11:49.452610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5730
 
6.8%
e 4126
 
4.9%
a 3470
 
4.1%
n 2912
 
3.4%
r 2829
 
3.3%
i 2641
 
3.1%
o 2371
 
2.8%
, 2192
 
2.6%
t 2090
 
2.5%
l 1774
 
2.1%
Other values (1631) 54613
64.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33948
40.1%
Lowercase Letter 32479
38.3%
Uppercase Letter 8744
 
10.3%
Space Separator 5736
 
6.8%
Other Punctuation 3256
 
3.8%
Close Punctuation 221
 
0.3%
Open Punctuation 220
 
0.3%
Dash Punctuation 100
 
0.1%
Decimal Number 29
 
< 0.1%
Math Symbol 7
 
< 0.1%
Other values (3) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 866
 
2.6%
허 830
 
2.4%
특 797
 
2.3%
국 738
 
2.2%
한 726
 
2.1%
이 672
 
2.0%
청 592
 
1.7%
연 553
 
1.6%
재 538
 
1.6%
김 532
 
1.6%
Other values (1525) 27104
79.8%
Lowercase Letter
ValueCountFrequency (%)
e 4126
12.7%
a 3470
10.7%
n 2912
 
9.0%
r 2829
 
8.7%
i 2641
 
8.1%
o 2371
 
7.3%
t 2090
 
6.4%
l 1774
 
5.5%
s 1678
 
5.2%
h 1305
 
4.0%
Other values (30) 7283
22.4%
Uppercase Letter
ValueCountFrequency (%)
S 708
 
8.1%
M 650
 
7.4%
P 639
 
7.3%
C 568
 
6.5%
A 559
 
6.4%
I 520
 
5.9%
R 507
 
5.8%
J 442
 
5.1%
D 419
 
4.8%
B 419
 
4.8%
Other values (23) 3313
37.9%
Other Punctuation
ValueCountFrequency (%)
, 2192
67.3%
. 474
 
14.6%
? 399
 
12.3%
; 114
 
3.5%
& 36
 
1.1%
' 13
 
0.4%
· 9
 
0.3%
＆ 9
 
0.3%
/ 3
 
0.1%
: 3
 
0.1%
Other values (2) 4
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 8
27.6%
0 7
24.1%
2 5
17.2%
5 4
13.8%
3 4
13.8%
4 1
 
3.4%
Math Symbol
ValueCountFrequency (%)
< 3
42.9%
> 3
42.9%
| 1
 
14.3%
Space Separator
ValueCountFrequency (%)
5730
99.9%
　 6
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 213
96.8%
[ 7
 
3.2%
Close Punctuation
ValueCountFrequency (%)
) 213
96.4%
] 8
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 73
73.0%
― 27
 
27.0%
Other Symbol
ValueCountFrequency (%)
ⓔ 3
50.0%
㈜ 3
50.0%
Modifier Symbol
ValueCountFrequency (%)
´ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 41201
48.6%
Hangul 25275
29.8%
Common 9573
 
11.3%
Han 8122
 
9.6%
Katakana 518
 
0.6%
Hiragana 36
 
< 0.1%
Cyrillic 23
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
産 231
 
2.8%
會 216
 
2.7%
知 213
 
2.6%
財 210
 
2.6%
究 204
 
2.5%
的 194
 
2.4%
所 169
 
2.1%
硏 166
 
2.0%
協 143
 
1.8%
本 142
 
1.7%
Other values (820) 6234
76.8%
Hangul
ValueCountFrequency (%)
원 866
 
3.4%
허 830
 
3.3%
특 797
 
3.2%
국 738
 
2.9%
한 726
 
2.9%
이 672
 
2.7%
청 592
 
2.3%
연 553
 
2.2%
재 538
 
2.1%
김 532
 
2.1%
Other values (604) 18431
72.9%
Katakana
ValueCountFrequency (%)
ン 53
 
10.2%
タ 28
 
5.4%
セ 23
 
4.4%
イ 22
 
4.2%
ル 21
 
4.1%
ト 20
 
3.9%
ク 17
 
3.3%
ラ 17
 
3.3%
フ 14
 
2.7%
グ 13
 
2.5%
Other values (56) 290
56.0%
Latin
ValueCountFrequency (%)
e 4126
 
10.0%
a 3470
 
8.4%
n 2912
 
7.1%
r 2829
 
6.9%
i 2641
 
6.4%
o 2371
 
5.8%
t 2090
 
5.1%
l 1774
 
4.3%
s 1678
 
4.1%
h 1305
 
3.2%
Other values (44) 16005
38.8%
Common
ValueCountFrequency (%)
5730
59.9%
, 2192
 
22.9%
. 474
 
5.0%
? 399
 
4.2%
( 213
 
2.2%
) 213
 
2.2%
; 114
 
1.2%
- 73
 
0.8%
& 36
 
0.4%
― 27
 
0.3%
Other values (21) 102
 
1.1%
Hiragana
ValueCountFrequency (%)
さ 3
 
8.3%
か 3
 
8.3%
き 2
 
5.6%
も 2
 
5.6%
く 2
 
5.6%
ゆ 2
 
5.6%
り 2
 
5.6%
え 2
 
5.6%
へ 1
 
2.8%
と 1
 
2.8%
Other values (16) 16
44.4%
Cyrillic
ValueCountFrequency (%)
а 3
 
13.0%
р 2
 
8.7%
н 1
 
4.3%
с 1
 
4.3%
к 1
 
4.3%
е 1
 
4.3%
л 1
 
4.3%
А 1
 
4.3%
Н 1
 
4.3%
И 1
 
4.3%
Other values (10) 10
43.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50715
59.8%
Hangul 25272
29.8%
CJK 8024
 
9.5%
Katakana 518
 
0.6%
CJK Compat Ideographs 98
 
0.1%
Hiragana 36
 
< 0.1%
None 31
 
< 0.1%
Punctuation 27
 
< 0.1%
Cyrillic 23
 
< 0.1%
Enclosed Alphanum 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5730
 
11.3%
e 4126
 
8.1%
a 3470
 
6.8%
n 2912
 
5.7%
r 2829
 
5.6%
i 2641
 
5.2%
o 2371
 
4.7%
, 2192
 
4.3%
t 2090
 
4.1%
l 1774
 
3.5%
Other values (66) 20580
40.6%
Hangul
ValueCountFrequency (%)
원 866
 
3.4%
허 830
 
3.3%
특 797
 
3.2%
국 738
 
2.9%
한 726
 
2.9%
이 672
 
2.7%
청 592
 
2.3%
연 553
 
2.2%
재 538
 
2.1%
김 532
 
2.1%
Other values (603) 18428
72.9%
CJK
ValueCountFrequency (%)
産 231
 
2.9%
會 216
 
2.7%
知 213
 
2.7%
財 210
 
2.6%
究 204
 
2.5%
的 194
 
2.4%
所 169
 
2.1%
硏 166
 
2.1%
協 143
 
1.8%
本 142
 
1.8%
Other values (795) 6136
76.5%
Katakana
ValueCountFrequency (%)
ン 53
 
10.2%
タ 28
 
5.4%
セ 23
 
4.4%
イ 22
 
4.2%
ル 21
 
4.1%
ト 20
 
3.9%
ク 17
 
3.3%
ラ 17
 
3.3%
フ 14
 
2.7%
グ 13
 
2.5%
Other values (56) 290
56.0%
CJK Compat Ideographs
ValueCountFrequency (%)
李 48
49.0%
龍 9
 
9.2%
郎 5
 
5.1%
論 4
 
4.1%
良 3
 
3.1%
盧 3
 
3.1%
林 2
 
2.0%
栗 2
 
2.0%
隆 2
 
2.0%
律 2
 
2.0%
Other values (15) 18
 
18.4%
Punctuation
ValueCountFrequency (%)
― 27
100.0%
None
ValueCountFrequency (%)
· 9
29.0%
＆ 9
29.0%
　 6
19.4%
㈜ 3
 
9.7%
， 2
 
6.5%
´ 1
 
3.2%
ß 1
 
3.2%
Hiragana
ValueCountFrequency (%)
さ 3
 
8.3%
か 3
 
8.3%
き 2
 
5.6%
も 2
 
5.6%
く 2
 
5.6%
ゆ 2
 
5.6%
り 2
 
5.6%
え 2
 
5.6%
へ 1
 
2.8%
と 1
 
2.8%
Other values (16) 16
44.4%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 3
100.0%
Cyrillic
ValueCountFrequency (%)
а 3
 
13.0%
р 2
 
8.7%
н 1
 
4.3%
с 1
 
4.3%
к 1
 
4.3%
е 1
 
4.3%
л 1
 
4.3%
А 1
 
4.3%
Н 1
 
4.3%
И 1
 
4.3%
Other values (10) 10
43.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

출판사
Text

Distinct3354
Distinct (%)33.7%
Missing38
Missing (%)0.4%
Memory size156.2 KiB
2023-12-12T21:11:49.747639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length137
Median length57
Mean length8.7331861
Min length1

Characters and Unicode

Total characters87000
Distinct characters995
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

Unique2261 ?
Unique (%)22.7%

Sample

1st row대한출판문화협회
2nd row부키
3rd row??産業調査?
4th row특허청
5th row랜덤하우스중앙
ValueCountFrequency (%)
특허청 638
 
4.8%
press 368
 
2.8%
한국지식재산연구원 250
 
1.9%
대외경제정책연구원(kiep 230
 
1.7%
university 198
 
1.5%
박영사 172
 
1.3%
특허심판원 163
 
1.2%
books 157
 
1.2%
oxford 146
 
1.1%
한빛지적소유권센터 126
 
0.9%
Other values (2827) 10835
81.6%
2023-12-12T21:11:50.211954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5469
 
6.3%
e 3407
 
3.9%
r 2732
 
3.1%
s 2547
 
2.9%
i 2392
 
2.7%
a 2231
 
2.6%
o 2099
 
2.4%
n 2024
 
2.3%
l 1717
 
2.0%
t 1667
 
1.9%
Other values (985) 60715
69.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39881
45.8%
Lowercase Letter 28892
33.2%
Uppercase Letter 10017
 
11.5%
Space Separator 5470
 
6.3%
Other Punctuation 1043
 
1.2%
Open Punctuation 721
 
0.8%
Close Punctuation 721
 
0.8%
Decimal Number 144
 
0.2%
Dash Punctuation 100
 
0.1%
Other Symbol 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 1544
 
3.9%
한 1434
 
3.6%
연 1199
 
3.0%
국 1178
 
3.0%
구 1154
 
2.9%
사 1042
 
2.6%
특 859
 
2.2%
허 858
 
2.2%
지 733
 
1.8%
청 709
 
1.8%
Other values (901) 29171
73.1%
Uppercase Letter
ValueCountFrequency (%)
P 1452
14.5%
I 1334
13.3%
E 830
 
8.3%
K 716
 
7.1%
S 612
 
6.1%
A 534
 
5.3%
B 432
 
4.3%
O 429
 
4.3%
C 395
 
3.9%
T 383
 
3.8%
Other values (19) 2900
29.0%
Lowercase Letter
ValueCountFrequency (%)
e 3407
11.8%
r 2732
 
9.5%
s 2547
 
8.8%
i 2392
 
8.3%
a 2231
 
7.7%
o 2099
 
7.3%
n 2024
 
7.0%
l 1717
 
5.9%
t 1667
 
5.8%
d 893
 
3.1%
Other values (16) 7183
24.9%
Other Punctuation
ValueCountFrequency (%)
? 680
65.2%
& 125
 
12.0%
. 108
 
10.4%
, 74
 
7.1%
: 19
 
1.8%
/ 13
 
1.2%
' 11
 
1.1%
· 7
 
0.7%
; 4
 
0.4%
＆ 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
2 67
46.5%
1 66
45.8%
0 4
 
2.8%
3 3
 
2.1%
8 2
 
1.4%
5 1
 
0.7%
6 1
 
0.7%
Space Separator
ValueCountFrequency (%)
5469
> 99.9%
　 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 719
99.7%
[ 2
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 718
99.6%
] 3
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 89
89.0%
― 11
 
11.0%
Math Symbol
ValueCountFrequency (%)
| 1
50.0%
+ 1
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 38909
44.7%
Hangul 32010
36.8%
Common 8201
 
9.4%
Han 7102
 
8.2%
Katakana 697
 
0.8%
Hiragana 81
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 1544
 
4.8%
한 1434
 
4.5%
연 1199
 
3.7%
국 1178
 
3.7%
구 1154
 
3.6%
사 1042
 
3.3%
특 859
 
2.7%
허 858
 
2.7%
지 733
 
2.3%
청 709
 
2.2%
Other values (477) 21300
66.5%
Han
ValueCountFrequency (%)
社 434
 
6.1%
會 314
 
4.4%
協 305
 
4.3%
産 260
 
3.7%
日 217
 
3.1%
明 194
 
2.7%
財 182
 
2.6%
知 176
 
2.5%
本 174
 
2.5%
經 164
 
2.3%
Other values (333) 4682
65.9%
Katakana
ValueCountFrequency (%)
ン 84
 
12.1%
イ 48
 
6.9%
ド 41
 
5.9%
タ 37
 
5.3%
ス 35
 
5.0%
ダ 30
 
4.3%
セ 30
 
4.3%
モ 29
 
4.2%
ヤ 29
 
4.2%
ク 21
 
3.0%
Other values (53) 313
44.9%
Latin
ValueCountFrequency (%)
e 3407
 
8.8%
r 2732
 
7.0%
s 2547
 
6.5%
i 2392
 
6.1%
a 2231
 
5.7%
o 2099
 
5.4%
n 2024
 
5.2%
l 1717
 
4.4%
t 1667
 
4.3%
P 1452
 
3.7%
Other values (45) 16641
42.8%
Common
ValueCountFrequency (%)
5469
66.7%
( 719
 
8.8%
) 718
 
8.8%
? 680
 
8.3%
& 125
 
1.5%
. 108
 
1.3%
- 89
 
1.1%
, 74
 
0.9%
2 67
 
0.8%
1 66
 
0.8%
Other values (18) 86
 
1.0%
Hiragana
ValueCountFrequency (%)
せ 12
14.8%
ょ 11
13.6%
ぎ 11
13.6%
う 11
13.6%
い 11
13.6%
ん 3
 
3.7%
か 3
 
3.7%
の 2
 
2.5%
た 2
 
2.5%
る 2
 
2.5%
Other values (9) 13
16.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47086
54.1%
Hangul 32001
36.8%
CJK 7093
 
8.2%
Katakana 697
 
0.8%
Hiragana 81
 
0.1%
None 22
 
< 0.1%
Punctuation 11
 
< 0.1%
CJK Compat Ideographs 9
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5469
 
11.6%
e 3407
 
7.2%
r 2732
 
5.8%
s 2547
 
5.4%
i 2392
 
5.1%
a 2231
 
4.7%
o 2099
 
4.5%
n 2024
 
4.3%
l 1717
 
3.6%
t 1667
 
3.5%
Other values (65) 20801
44.2%
Hangul
ValueCountFrequency (%)
원 1544
 
4.8%
한 1434
 
4.5%
연 1199
 
3.7%
국 1178
 
3.7%
구 1154
 
3.6%
사 1042
 
3.3%
특 859
 
2.7%
허 858
 
2.7%
지 733
 
2.3%
청 709
 
2.2%
Other values (476) 21291
66.5%
CJK
ValueCountFrequency (%)
社 434
 
6.1%
會 314
 
4.4%
協 305
 
4.3%
産 260
 
3.7%
日 217
 
3.1%
明 194
 
2.7%
財 182
 
2.6%
知 176
 
2.5%
本 174
 
2.5%
經 164
 
2.3%
Other values (327) 4673
65.9%
Katakana
ValueCountFrequency (%)
ン 84
 
12.1%
イ 48
 
6.9%
ド 41
 
5.9%
タ 37
 
5.3%
ス 35
 
5.0%
ダ 30
 
4.3%
セ 30
 
4.3%
モ 29
 
4.2%
ヤ 29
 
4.2%
ク 21
 
3.0%
Other values (53) 313
44.9%
Hiragana
ValueCountFrequency (%)
せ 12
14.8%
ょ 11
13.6%
ぎ 11
13.6%
う 11
13.6%
い 11
13.6%
ん 3
 
3.7%
か 3
 
3.7%
の 2
 
2.5%
た 2
 
2.5%
る 2
 
2.5%
Other values (9) 13
16.0%
Punctuation
ValueCountFrequency (%)
― 11
100.0%
None
ValueCountFrequency (%)
㈜ 9
40.9%
· 7
31.8%
＆ 1
 
4.5%
： 1
 
4.5%
　 1
 
4.5%
Ｉ 1
 
4.5%
Ｌ 1
 
4.5%
Ｓ 1
 
4.5%
CJK Compat Ideographs
ValueCountFrequency (%)
連 3
33.3%
率 2
22.2%
勞 1
 
11.1%
聯 1
 
11.1%
理 1
 
11.1%
金 1
 
11.1%

출판년
Text

Distinct104
Distinct (%)1.0%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-12T21:11:50.400294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length4.010201
Min length1

Characters and Unicode

Total characters40098
Distinct characters19
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

Unique44 ?
Unique (%)0.4%

Sample

1st row2013
2nd row2014
3rd row2012
4th row1998
5th row2008
ValueCountFrequency (%)
2011 880
 
8.8%
2008 835
 
8.4%
2013 781
 
7.8%
2012 719
 
7.2%
2010 697
 
7.0%
2009 647
 
6.5%
2014 552
 
5.5%
2015 505
 
5.1%
2007 497
 
5.0%
2006 403
 
4.0%
Other values (72) 3477
34.8%
2023-12-12T21:11:50.756394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 14017
35.0%
2 9866
24.6%
1 6887
17.2%
9 3150
 
7.9%
8 1319
 
3.3%
3 1251
 
3.1%
4 991
 
2.5%
5 956
 
2.4%
6 835
 
2.1%
7 744
 
1.9%
Other values (9) 82
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40016
99.8%
Dash Punctuation 49
 
0.1%
Space Separator 21
 
0.1%
Other Punctuation 6
 
< 0.1%
Other Letter 6
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14017
35.0%
2 9866
24.7%
1 6887
17.2%
9 3150
 
7.9%
8 1319
 
3.3%
3 1251
 
3.1%
4 991
 
2.5%
5 956
 
2.4%
6 835
 
2.1%
7 744
 
1.9%
Other Letter
ValueCountFrequency (%)
발 1
16.7%
행 1
16.7%
년 1
16.7%
불 1
16.7%
평 1
16.7%
성 1
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Other Punctuation
ValueCountFrequency (%)
? 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 40092
> 99.9%
Hangul 6
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 14017
35.0%
2 9866
24.6%
1 6887
17.2%
9 3150
 
7.9%
8 1319
 
3.3%
3 1251
 
3.1%
4 991
 
2.5%
5 956
 
2.4%
6 835
 
2.1%
7 744
 
1.9%
Other values (3) 76
 
0.2%
Hangul
ValueCountFrequency (%)
발 1
16.7%
행 1
16.7%
년 1
16.7%
불 1
16.7%
평 1
16.7%
성 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40092
> 99.9%
Hangul 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 14017
35.0%
2 9866
24.6%
1 6887
17.2%
9 3150
 
7.9%
8 1319
 
3.3%
3 1251
 
3.1%
4 991
 
2.5%
5 956
 
2.4%
6 835
 
2.1%
7 744
 
1.9%
Other values (3) 76
 
0.2%
Hangul
ValueCountFrequency (%)
발 1
16.7%
행 1
16.7%
년 1
16.7%
불 1
16.7%
평 1
16.7%
성 1
16.7%

청구기호
Text

Distinct7979
Distinct (%)80.6%
Missing98
Missing (%)1.0%
Memory size156.2 KiB
2023-12-12T21:11:51.155960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length11.919915
Min length1

Characters and Unicode

Total characters118031
Distinct characters438
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

Unique7265 ?
Unique (%)73.4%

Sample

1st row013.059대92ㅎ v.2013
2nd row327.9 레98g
3rd row507.5104 하91ㅅ
4th rowKIPO 1998-01A
5th row816.6 이43ㄲ
ValueCountFrequency (%)
kipo 586
 
3.1%
kiip 392
 
2.1%
kiep 336
 
1.8%
kipt 164
 
0.9%
kdi 140
 
0.7%
etc 131
 
0.7%
507.518 119
 
0.6%
seminar 116
 
0.6%
325.1 110
 
0.6%
507.50803 103
 
0.5%
Other values (8315) 16606
88.3%
2023-12-12T21:11:52.016791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 13909
11.8%
5 12612
 
10.7%
1 9833
 
8.3%
8954
 
7.6%
2 8250
 
7.0%
3 7454
 
6.3%
. 6905
 
5.9%
7 5705
 
4.8%
4 4900
 
4.2%
6 4737
 
4.0%
Other values (428) 34772
29.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 75440
63.9%
Uppercase Letter 10813
 
9.2%
Other Letter 10492
 
8.9%
Space Separator 8955
 
7.6%
Other Punctuation 6927
 
5.9%
Lowercase Letter 3167
 
2.7%
Dash Punctuation 2149
 
1.8%
Open Punctuation 44
 
< 0.1%
Close Punctuation 44
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ㅈ 1040
 
9.9%
ㅇ 811
 
7.7%
ㅅ 780
 
7.4%
ㄱ 740
 
7.1%
ㅎ 494
 
4.7%
ㅌ 436
 
4.2%
김 390
 
3.7%
ㅂ 387
 
3.7%
이 364
 
3.5%
ㄷ 327
 
3.1%
Other values (359) 4723
45.0%
Uppercase Letter
ValueCountFrequency (%)
I 2515
23.3%
P 1859
17.2%
K 1825
16.9%
O 759
 
7.0%
E 656
 
6.1%
T 478
 
4.4%
S 405
 
3.7%
C 362
 
3.3%
D 239
 
2.2%
A 194
 
1.8%
Other values (16) 1521
14.1%
Lowercase Letter
ValueCountFrequency (%)
i 520
16.4%
m 253
 
8.0%
r 245
 
7.7%
e 243
 
7.7%
p 237
 
7.5%
a 204
 
6.4%
c 204
 
6.4%
u 172
 
5.4%
n 164
 
5.2%
t 144
 
4.5%
Other values (14) 781
24.7%
Decimal Number
ValueCountFrequency (%)
0 13909
18.4%
5 12612
16.7%
1 9833
13.0%
2 8250
10.9%
3 7454
9.9%
7 5705
7.6%
4 4900
 
6.5%
6 4737
 
6.3%
8 4169
 
5.5%
9 3871
 
5.1%
Other Punctuation
ValueCountFrequency (%)
. 6905
99.7%
& 8
 
0.1%
? 8
 
0.1%
/ 6
 
0.1%
Space Separator
ValueCountFrequency (%)
8954
> 99.9%
　 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 2149
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 93559
79.3%
Latin 13980
 
11.8%
Hangul 10474
 
8.9%
Hiragana 18
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
ㅈ 1040
 
9.9%
ㅇ 811
 
7.7%
ㅅ 780
 
7.4%
ㄱ 740
 
7.1%
ㅎ 494
 
4.7%
ㅌ 436
 
4.2%
김 390
 
3.7%
ㅂ 387
 
3.7%
이 364
 
3.5%
ㄷ 327
 
3.1%
Other values (346) 4705
44.9%
Latin
ValueCountFrequency (%)
I 2515
18.0%
P 1859
13.3%
K 1825
13.1%
O 759
 
5.4%
E 656
 
4.7%
i 520
 
3.7%
T 478
 
3.4%
S 405
 
2.9%
C 362
 
2.6%
m 253
 
1.8%
Other values (40) 4348
31.1%
Common
ValueCountFrequency (%)
0 13909
14.9%
5 12612
13.5%
1 9833
10.5%
8954
9.6%
2 8250
8.8%
3 7454
8.0%
. 6905
7.4%
7 5705
6.1%
4 4900
 
5.2%
6 4737
 
5.1%
Other values (9) 10300
11.0%
Hiragana
ValueCountFrequency (%)
り 3
16.7%
い 2
11.1%
れ 2
11.1%
へ 2
11.1%
そ 1
 
5.6%
ま 1
 
5.6%
ふ 1
 
5.6%
ぽ 1
 
5.6%
に 1
 
5.6%
べ 1
 
5.6%
Other values (3) 3
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 107538
91.1%
Compat Jamo 5878
 
5.0%
Hangul 4596
 
3.9%
Hiragana 18
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 13909
12.9%
5 12612
11.7%
1 9833
9.1%
8954
 
8.3%
2 8250
 
7.7%
3 7454
 
6.9%
. 6905
 
6.4%
7 5705
 
5.3%
4 4900
 
4.6%
6 4737
 
4.4%
Other values (58) 24279
22.6%
Compat Jamo
ValueCountFrequency (%)
ㅈ 1040
17.7%
ㅇ 811
13.8%
ㅅ 780
13.3%
ㄱ 740
12.6%
ㅎ 494
8.4%
ㅌ 436
7.4%
ㅂ 387
 
6.6%
ㄷ 327
 
5.6%
ㅁ 291
 
5.0%
ㅊ 153
 
2.6%
Other values (6) 419
7.1%
Hangul
ValueCountFrequency (%)
김 390
 
8.5%
이 364
 
7.9%
한 237
 
5.2%
박 182
 
4.0%
정 141
 
3.1%
최 109
 
2.4%
조 93
 
2.0%
오 75
 
1.6%
특 71
 
1.5%
송 60
 
1.3%
Other values (330) 2874
62.5%
Hiragana
ValueCountFrequency (%)
り 3
16.7%
い 2
11.1%
れ 2
11.1%
へ 2
11.1%
そ 1
 
5.6%
ま 1
 
5.6%
ふ 1
 
5.6%
ぽ 1
 
5.6%
に 1
 
5.6%
べ 1
 
5.6%
Other values (3) 3
16.7%
None
ValueCountFrequency (%)
　 1
100.0%

URL
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T21:11:52.372850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length54
Mean length54
Min length54

Characters and Unicode

Total characters540000
Distinct characters30
Distinct categories4 ?
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 rowhttp://lib.kiip.re.kr/search/detail/CATTOT000000017499
2nd rowhttp://lib.kiip.re.kr/search/detail/CATTOT000000018558
3rd rowhttp://lib.kiip.re.kr/search/detail/CATTOT000000015281
4th rowhttp://lib.kiip.re.kr/search/detail/CATTOT000000018006
5th rowhttp://lib.kiip.re.kr/search/detail/CATTOT000000005688
ValueCountFrequency (%)
http://lib.kiip.re.kr/search/detail/cattot000000017499 1
 
< 0.1%
http://lib.kiip.re.kr/search/detail/cattot000000001682 1
 
< 0.1%
http://lib.kiip.re.kr/search/detail/cattot000000007031 1
 
< 0.1%
http://lib.kiip.re.kr/search/detail/cattot000000006147 1
 
< 0.1%
http://lib.kiip.re.kr/search/detail/cattot000000018893 1
 
< 0.1%
http://lib.kiip.re.kr/search/detail/cattot000000004650 1
 
< 0.1%
http://lib.kiip.re.kr/search/detail/cattot000000018629 1
 
< 0.1%
http://lib.kiip.re.kr/search/detail/cattot000000007574 1
 
< 0.1%
http://lib.kiip.re.kr/search/detail/cattot000000005555 1
 
< 0.1%
http://lib.kiip.re.kr/search/detail/cattot000000016310 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-12T21:11:52.831819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 77845
14.4%
/ 50000
 
9.3%
i 40000
 
7.4%
. 30000
 
5.6%
r 30000
 
5.6%
e 30000
 
5.6%
T 30000
 
5.6%
t 30000
 
5.6%
h 20000
 
3.7%
p 20000
 
3.7%
Other values (20) 182155
33.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 270000
50.0%
Decimal Number 120000
22.2%
Other Punctuation 90000
 
16.7%
Uppercase Letter 60000
 
11.1%

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 77845
64.9%
1 9738
 
8.1%
6 4466
 
3.7%
5 4442
 
3.7%
8 4269
 
3.6%
7 4262
 
3.6%
4 4078
 
3.4%
2 3743
 
3.1%
9 3690
 
3.1%
3 3467
 
2.9%
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%

Most occurring scripts

ValueCountFrequency (%)
Latin 330000
61.1%
Common 210000
38.9%

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 77845
37.1%
/ 50000
23.8%
. 30000
 
14.3%
: 10000
 
4.8%
1 9738
 
4.6%
6 4466
 
2.1%
5 4442
 
2.1%
8 4269
 
2.0%
7 4262
 
2.0%
4 4078
 
1.9%
Other values (3) 10900
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 540000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 77845
14.4%
/ 50000
 
9.3%
i 40000
 
7.4%
. 30000
 
5.6%
r 30000
 
5.6%
e 30000
 
5.6%
T 30000
 
5.6%
t 30000
 
5.6%
h 20000
 
3.7%
p 20000
 
3.7%
Other values (20) 182155
33.7%

Interactions

2023-12-12T21:11:47.074749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T21:11:47.219665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:11:47.329949image/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.
2023-12-12T21:11:47.430106image/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
1250712508한국출판연감 : 자료편. 2013 =대한출판문화협회대한출판문화협회2013013.059대92ㅎ v.2013http://lib.kiip.re.kr/search/detail/CATTOT000000017499
1282212823G2 전쟁 : 슈퍼 달러의 대반격레이쓰하이부키2014327.9 레98ghttp://lib.kiip.re.kr/search/detail/CATTOT000000018558
89578958新??照改正米?特許法?務マニュアル: 改正米?特許法、規則及びガイドラインの解?河野 英仁??産業調査?2012507.5104 하91ㅅhttp://lib.kiip.re.kr/search/detail/CATTOT000000015281
1304013041ANNUAL REPORT 1997특허청특허청1998KIPO 1998-01Ahttp://lib.kiip.re.kr/search/detail/CATTOT000000018006
28842885끌림: 1994-2005 Travel notes이병률랜덤하우스중앙2008816.6 이43ㄲhttp://lib.kiip.re.kr/search/detail/CATTOT000000005688
1190111902Copyright in a Global Information Economy: 2013 Case and Statutory SupplementCohen, Julie E.Wolters Kluwer Law & Business2013507.5504 C678chttp://lib.kiip.re.kr/search/detail/CATTOT000000018673
35853586中短基經營計劃 : 環境を予測し會社のビジョンを明確にする長島總一郞生産性出版2008325.103 장24ㅈhttp://lib.kiip.re.kr/search/detail/CATTOT000000006432
46264627독학 일본어 첫걸음박지현YBM일본어2008730 박68ㄷhttp://lib.kiip.re.kr/search/detail/CATTOT000000007569
1380913810Film Copyright in the European Union /Kamina, IPascalCambridge University Press2016507.55802 K15fhttp://lib.kiip.re.kr/search/detail/CATTOT000000019428
1354913550국내거주 러시아·CIS(고려인) 현황 조사Ⅱ재외동포재단재외동포재단2016ETC 2016-03ㅎhttp://lib.kiip.re.kr/search/detail/CATTOT000000019162
순번서명저자출판사출판년청구기호URL
50885089토지 8박경리나남2010813.6 박13ㅌhttp://lib.kiip.re.kr/search/detail/CATTOT000000008133
1003710038(Le)droit d'auteurDessemontetCEDIDAC1999365.911 D475dhttp://lib.kiip.re.kr/search/detail/CATTOT000000014989
1110811109디자인판례 : 통권 제39호특허심판원특허심판원2014KIPT 2014-06ㄷhttp://lib.kiip.re.kr/search/detail/CATTOT000000016883
11477114782005년도 경제·통상외교 활동성과외교통상부외교통상부2006GOV 2006-05ㅇhttp://lib.kiip.re.kr/search/detail/CATTOT000000015309
92839284The WIPO journal : analysis of intellectual property issuesWorld Intellectual Property OrganizationSweet & Maxwell2009http://lib.kiip.re.kr/search/detail/CATTOT000000014265
94579458디자인 전쟁: 특허청 심사관의 디자인 지식재산권 컨설팅김종균홍시2013507.531 김64ㄷhttp://lib.kiip.re.kr/search/detail/CATTOT000000014488
1372713728日本知的財産協會業務報告(2015-2016)日本知的財産協會JIPA(日本知的財産協會)2016JIPA 2016-001http://lib.kiip.re.kr/search/detail/CATTOT000000019345
37613762新織務發明制度における手續事例集特許廳商事法務2004507.51103 특72ㅅhttp://lib.kiip.re.kr/search/detail/CATTOT000000006615
14581459PCT개혁 단기과제에 대한 심층연구이봉문한국발명진흥회 지적재산권연구센터2004KIIP 2004-002http://lib.kiip.re.kr/search/detail/CATTOT000000004111
46714672나쁜 사마리아인들: 장하준의 경제학 파노라마장하준도서출판부키2010326.211 장71ㄴhttp://lib.kiip.re.kr/search/detail/CATTOT000000007615