Overview

Dataset statistics

Number of variables9
Number of observations9984
Missing cells20066
Missing cells (%)22.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory731.4 KiB
Average record size in memory75.0 B

Variable types

Numeric1
Text6
Unsupported2

Dataset

Description2015년 지식재산전문도서관 서지정보
Author한국지식재산연구원
URLhttps://www.data.go.kr/data/15055894/fileData.do

Alerts

Unnamed: 7 has 9984 (100.0%) missing valuesMissing
Unnamed: 8 has 9984 (100.0%) missing valuesMissing
순번 has unique valuesUnique
Unnamed: 7 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 8 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 21:32:21.301564
Analysis finished2023-12-12 21:32:24.507806
Duration3.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct9984
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4992.5
Minimum1
Maximum9984
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size87.9 KiB
2023-12-13T06:32:24.596796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile500.15
Q12496.75
median4992.5
Q37488.25
95-th percentile9484.85
Maximum9984
Range9983
Interquartile range (IQR)4991.5

Descriptive statistics

Standard deviation2882.2769
Coefficient of variation (CV)0.57732136
Kurtosis-1.2
Mean4992.5
Median Absolute Deviation (MAD)2496
Skewness0
Sum49845120
Variance8307520
MonotonicityStrictly increasing
2023-12-13T06:32:24.745962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
6661 1
 
< 0.1%
6654 1
 
< 0.1%
6655 1
 
< 0.1%
6656 1
 
< 0.1%
6657 1
 
< 0.1%
6658 1
 
< 0.1%
6659 1
 
< 0.1%
6660 1
 
< 0.1%
6662 1
 
< 0.1%
Other values (9974) 9974
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%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
9984 1
< 0.1%
9983 1
< 0.1%
9982 1
< 0.1%
9981 1
< 0.1%
9980 1
< 0.1%
9979 1
< 0.1%
9978 1
< 0.1%
9977 1
< 0.1%
9976 1
< 0.1%
9975 1
< 0.1%

서명
Text

Distinct7750
Distinct (%)77.6%
Missing0
Missing (%)0.0%
Memory size78.1 KiB
2023-12-13T06:32:25.083245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length258
Median length186
Mean length36.838041
Min length2

Characters and Unicode

Total characters367791
Distinct characters1814
Distinct categories16 ?
Distinct scripts7 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6569 ?
Unique (%)65.8%

Sample

1st rowA Patented World?: Privatisation of Life and Knowledge
2nd rowAll You Need to Know About the Music Business
3rd rowAmerican Corporate Identity 2006
4th rowBlackstone's Statutes on Intellectual Property
5th rowCyber Forensics : A Field Manual for Collecting, Examining, and Preserving Evidence of Computer Crimes
ValueCountFrequency (%)
3076
 
5.2%
and 1723
 
2.9%
the 1330
 
2.2%
of 1210
 
2.0%
intellectual 907
 
1.5%
property 892
 
1.5%
및 718
 
1.2%
law 630
 
1.1%
patent 620
 
1.0%
in 609
 
1.0%
Other values (13587) 47946
80.4%
2023-12-13T06:32:25.642942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
57438
 
15.6%
e 17675
 
4.8%
t 15266
 
4.2%
n 14158
 
3.8%
a 13624
 
3.7%
o 11396
 
3.1%
i 11254
 
3.1%
r 10233
 
2.8%
l 7661
 
2.1%
s 7481
 
2.0%
Other values (1804) 201605
54.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 147981
40.2%
Other Letter 118313
32.2%
Space Separator 57464
 
15.6%
Uppercase Letter 19957
 
5.4%
Decimal Number 9723
 
2.6%
Other Punctuation 8964
 
2.4%
Close Punctuation 1641
 
0.4%
Open Punctuation 1635
 
0.4%
Dash Punctuation 1237
 
0.3%
Math Symbol 631
 
0.2%
Other values (6) 245
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 2106
 
1.8%
의 2048
 
1.7%
산 1875
 
1.6%
한 1704
 
1.4%
제 1607
 
1.4%
재 1566
 
1.3%
기 1524
 
1.3%
국 1387
 
1.2%
연 1357
 
1.1%
사 1350
 
1.1%
Other values (1656) 101789
86.0%
Lowercase Letter
ValueCountFrequency (%)
e 17675
11.9%
t 15266
10.3%
n 14158
9.6%
a 13624
9.2%
o 11396
 
7.7%
i 11254
 
7.6%
r 10233
 
6.9%
l 7661
 
5.2%
s 7481
 
5.1%
c 5681
 
3.8%
Other values (37) 33552
22.7%
Uppercase Letter
ValueCountFrequency (%)
P 2953
14.8%
I 2527
12.7%
T 1942
 
9.7%
C 1653
 
8.3%
A 1324
 
6.6%
S 1059
 
5.3%
R 971
 
4.9%
E 963
 
4.8%
D 852
 
4.3%
L 824
 
4.1%
Other values (19) 4889
24.5%
Other Punctuation
ValueCountFrequency (%)
: 3101
34.6%
? 1364
15.2%
, 1344
15.0%
. 1244
13.9%
· 781
 
8.7%
/ 443
 
4.9%
& 365
 
4.1%
' 181
 
2.0%
! 49
 
0.5%
" 32
 
0.4%
Other values (8) 60
 
0.7%
Decimal Number
ValueCountFrequency (%)
0 2573
26.5%
2 2320
23.9%
1 2225
22.9%
3 536
 
5.5%
9 448
 
4.6%
4 423
 
4.4%
5 361
 
3.7%
8 288
 
3.0%
7 288
 
3.0%
6 256
 
2.6%
Other values (4) 5
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 76
35.0%
Ⅱ 63
29.0%
Ⅲ 37
17.1%
Ⅳ 25
 
11.5%
Ⅴ 5
 
2.3%
Ⅵ 5
 
2.3%
Ⅹ 2
 
0.9%
Ⅶ 2
 
0.9%
Ⅸ 1
 
0.5%
Ⅷ 1
 
0.5%
Math Symbol
ValueCountFrequency (%)
= 533
84.5%
~ 58
 
9.2%
< 11
 
1.7%
> 11
 
1.7%
| 9
 
1.4%
∼ 5
 
0.8%
+ 3
 
0.5%
＋ 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 1476
89.9%
] 96
 
5.9%
」 55
 
3.4%
』 6
 
0.4%
〉 6
 
0.4%
〕 1
 
0.1%
） 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1475
90.2%
[ 93
 
5.7%
「 54
 
3.3%
『 6
 
0.4%
〈 6
 
0.4%
〔 1
 
0.1%
Space Separator
ValueCountFrequency (%)
57438
> 99.9%
　 26
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 1012
81.8%
― 225
 
18.2%
Modifier Symbol
ValueCountFrequency (%)
` 11
100.0%
Control
ValueCountFrequency (%)
11
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Other Symbol
ValueCountFrequency (%)
〓 1
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 168094
45.7%
Hangul 87157
23.7%
Common 81323
22.1%
Han 21471
 
5.8%
Hiragana 5344
 
1.5%
Katakana 4341
 
1.2%
Cyrillic 61
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
法 927
 
4.3%
知 760
 
3.5%
特 701
 
3.3%
許 698
 
3.3%
産 695
 
3.2%
的 682
 
3.2%
財 664
 
3.1%
權 419
 
2.0%
業 297
 
1.4%
務 259
 
1.2%
Other values (842) 15369
71.6%
Hangul
ValueCountFrequency (%)
지 2106
 
2.4%
의 2048
 
2.3%
산 1875
 
2.2%
한 1704
 
2.0%
제 1607
 
1.8%
재 1566
 
1.8%
기 1524
 
1.7%
국 1387
 
1.6%
연 1357
 
1.6%
사 1350
 
1.5%
Other values (664) 70633
81.0%
Katakana
ValueCountFrequency (%)
ン 360
 
8.3%
ス 254
 
5.9%
イ 245
 
5.6%
ト 199
 
4.6%
ア 169
 
3.9%
ド 156
 
3.6%
ジ 148
 
3.4%
ネ 132
 
3.0%
ル 131
 
3.0%
ク 121
 
2.8%
Other values (65) 2426
55.9%
Hiragana
ValueCountFrequency (%)
の 1326
24.8%
る 416
 
7.8%
と 412
 
7.7%
に 355
 
6.6%
か 204
 
3.8%
す 192
 
3.6%
た 185
 
3.5%
を 160
 
3.0%
め 135
 
2.5%
て 112
 
2.1%
Other values (55) 1847
34.6%
Latin
ValueCountFrequency (%)
e 17675
 
10.5%
t 15266
 
9.1%
n 14158
 
8.4%
a 13624
 
8.1%
o 11396
 
6.8%
i 11254
 
6.7%
r 10233
 
6.1%
l 7661
 
4.6%
s 7481
 
4.5%
c 5681
 
3.4%
Other values (54) 53665
31.9%
Common
ValueCountFrequency (%)
57438
70.6%
: 3101
 
3.8%
0 2573
 
3.2%
2 2320
 
2.9%
1 2225
 
2.7%
) 1476
 
1.8%
( 1475
 
1.8%
? 1364
 
1.7%
, 1344
 
1.7%
. 1244
 
1.5%
Other values (52) 6763
 
8.3%
Cyrillic
ValueCountFrequency (%)
о 10
16.4%
и 6
 
9.8%
с 6
 
9.8%
а 4
 
6.6%
р 3
 
4.9%
д 3
 
4.9%
в 3
 
4.9%
е 3
 
4.9%
н 3
 
4.9%
л 3
 
4.9%
Other values (12) 17
27.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 247988
67.4%
Hangul 87146
 
23.7%
CJK 21286
 
5.8%
Hiragana 5344
 
1.5%
Katakana 4341
 
1.2%
None 981
 
0.3%
Punctuation 226
 
0.1%
Number Forms 217
 
0.1%
CJK Compat Ideographs 185
 
0.1%
Cyrillic 61
 
< 0.1%
Other values (2) 16
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
57438
23.2%
e 17675
 
7.1%
t 15266
 
6.2%
n 14158
 
5.7%
a 13624
 
5.5%
o 11396
 
4.6%
i 11254
 
4.5%
r 10233
 
4.1%
l 7661
 
3.1%
s 7481
 
3.0%
Other values (78) 81802
33.0%
Hangul
ValueCountFrequency (%)
지 2106
 
2.4%
의 2048
 
2.4%
산 1875
 
2.2%
한 1704
 
2.0%
제 1607
 
1.8%
재 1566
 
1.8%
기 1524
 
1.7%
국 1387
 
1.6%
연 1357
 
1.6%
사 1350
 
1.5%
Other values (663) 70622
81.0%
Hiragana
ValueCountFrequency (%)
の 1326
24.8%
る 416
 
7.8%
と 412
 
7.7%
に 355
 
6.6%
か 204
 
3.8%
す 192
 
3.6%
た 185
 
3.5%
を 160
 
3.0%
め 135
 
2.5%
て 112
 
2.1%
Other values (55) 1847
34.6%
CJK
ValueCountFrequency (%)
法 927
 
4.4%
知 760
 
3.6%
特 701
 
3.3%
許 698
 
3.3%
産 695
 
3.3%
的 682
 
3.2%
財 664
 
3.1%
權 419
 
2.0%
業 297
 
1.4%
務 259
 
1.2%
Other values (816) 15184
71.3%
None
ValueCountFrequency (%)
· 781
79.6%
」 55
 
5.6%
「 54
 
5.5%
　 26
 
2.7%
、 14
 
1.4%
『 6
 
0.6%
』 6
 
0.6%
〈 6
 
0.6%
〉 6
 
0.6%
＆ 5
 
0.5%
Other values (15) 22
 
2.2%
Katakana
ValueCountFrequency (%)
ン 360
 
8.3%
ス 254
 
5.9%
イ 245
 
5.6%
ト 199
 
4.6%
ア 169
 
3.9%
ド 156
 
3.6%
ジ 148
 
3.4%
ネ 132
 
3.0%
ル 131
 
3.0%
ク 121
 
2.8%
Other values (65) 2426
55.9%
Punctuation
ValueCountFrequency (%)
― 225
99.6%
” 1
 
0.4%
Number Forms
ValueCountFrequency (%)
Ⅰ 76
35.0%
Ⅱ 63
29.0%
Ⅲ 37
17.1%
Ⅳ 25
 
11.5%
Ⅴ 5
 
2.3%
Ⅵ 5
 
2.3%
Ⅹ 2
 
0.9%
Ⅶ 2
 
0.9%
Ⅸ 1
 
0.5%
Ⅷ 1
 
0.5%
CJK Compat Ideographs
ValueCountFrequency (%)
理 45
24.3%
論 20
10.8%
不 15
 
8.1%
利 14
 
7.6%
連 13
 
7.0%
六 13
 
7.0%
年 9
 
4.9%
量 9
 
4.9%
立 6
 
3.2%
歷 5
 
2.7%
Other values (16) 36
19.5%
Compat Jamo
ValueCountFrequency (%)
ㆍ 11
100.0%
Cyrillic
ValueCountFrequency (%)
о 10
16.4%
и 6
 
9.8%
с 6
 
9.8%
а 4
 
6.6%
р 3
 
4.9%
д 3
 
4.9%
в 3
 
4.9%
е 3
 
4.9%
н 3
 
4.9%
л 3
 
4.9%
Other values (12) 17
27.9%
Math Operators
ValueCountFrequency (%)
∼ 5
100.0%

저자
Text

Distinct4148
Distinct (%)41.7%
Missing47
Missing (%)0.5%
Memory size78.1 KiB
2023-12-13T06:32:26.020313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length137
Median length102
Mean length8.8514642
Min length1

Characters and Unicode

Total characters87957
Distinct characters1351
Distinct categories12 ?
Distinct scripts7 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2989 ?
Unique (%)30.1%

Sample

1st rowAgostino, Ana
2nd rowPassman, Donald S
3rd rowCarter, David E
4th rowChristie, Andrew
5th rowMarcella, Albert J
ValueCountFrequency (%)
특허청 877
 
5.9%
한국지식재산연구원 852
 
5.7%
특허심판원 224
 
1.5%
united 130
 
0.9%
states 127
 
0.9%
property 113
 
0.8%
office 98
 
0.7%
intellectual 93
 
0.6%
patent 84
 
0.6%
m 83
 
0.6%
Other values (5073) 12156
81.9%
2023-12-13T06:32:26.589490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4909
 
5.6%
e 4001
 
4.5%
a 3319
 
3.8%
n 2865
 
3.3%
r 2812
 
3.2%
i 2665
 
3.0%
t 2561
 
2.9%
o 2530
 
2.9%
l 1808
 
2.1%
, 1659
 
1.9%
Other values (1341) 58828
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38599
43.9%
Lowercase Letter 32668
37.1%
Uppercase Letter 8510
 
9.7%
Space Separator 4914
 
5.6%
Other Punctuation 2507
 
2.9%
Close Punctuation 317
 
0.4%
Open Punctuation 315
 
0.4%
Dash Punctuation 108
 
0.1%
Decimal Number 13
 
< 0.1%
Other Symbol 4
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 1658
 
4.3%
국 1479
 
3.8%
한 1442
 
3.7%
지 1243
 
3.2%
산 1242
 
3.2%
연 1242
 
3.2%
허 1240
 
3.2%
재 1237
 
3.2%
특 1217
 
3.2%
구 1165
 
3.0%
Other values (1244) 25434
65.9%
Lowercase Letter
ValueCountFrequency (%)
e 4001
12.2%
a 3319
10.2%
n 2865
 
8.8%
r 2812
 
8.6%
i 2665
 
8.2%
t 2561
 
7.8%
o 2530
 
7.7%
l 1808
 
5.5%
s 1654
 
5.1%
h 1168
 
3.6%
Other values (29) 7285
22.3%
Uppercase Letter
ValueCountFrequency (%)
P 768
 
9.0%
I 689
 
8.1%
S 645
 
7.6%
M 582
 
6.8%
C 576
 
6.8%
A 552
 
6.5%
R 419
 
4.9%
J 398
 
4.7%
D 392
 
4.6%
B 365
 
4.3%
Other values (23) 3124
36.7%
Other Punctuation
ValueCountFrequency (%)
, 1659
66.2%
? 454
 
18.1%
. 323
 
12.9%
& 51
 
2.0%
' 9
 
0.4%
· 6
 
0.2%
， 2
 
0.1%
: 1
 
< 0.1%
/ 1
 
< 0.1%
＆ 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
3 4
30.8%
1 3
23.1%
0 3
23.1%
5 3
23.1%
Space Separator
ValueCountFrequency (%)
4909
99.9%
　 5
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 306
97.1%
[ 9
 
2.9%
Close Punctuation
ValueCountFrequency (%)
) 306
96.5%
] 11
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 66
61.1%
― 42
38.9%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
´ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 41156
46.8%
Hangul 28520
32.4%
Han 9461
 
10.8%
Common 8175
 
9.3%
Katakana 570
 
0.6%
Hiragana 52
 
0.1%
Cyrillic 23
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
産 291
 
3.1%
知 277
 
2.9%
財 269
 
2.8%
的 256
 
2.7%
所 234
 
2.5%
究 224
 
2.4%
會 221
 
2.3%
本 175
 
1.8%
硏 175
 
1.8%
田 169
 
1.8%
Other values (728) 7170
75.8%
Hangul
ValueCountFrequency (%)
원 1658
 
5.8%
국 1479
 
5.2%
한 1442
 
5.1%
지 1243
 
4.4%
산 1242
 
4.4%
연 1242
 
4.4%
허 1240
 
4.3%
재 1237
 
4.3%
특 1217
 
4.3%
구 1165
 
4.1%
Other values (417) 15355
53.8%
Katakana
ValueCountFrequency (%)
ン 66
 
11.6%
タ 33
 
5.8%
セ 31
 
5.4%
ク 23
 
4.0%
イ 22
 
3.9%
リ 21
 
3.7%
ト 20
 
3.5%
ル 20
 
3.5%
ド 17
 
3.0%
ッ 17
 
3.0%
Other values (52) 300
52.6%
Latin
ValueCountFrequency (%)
e 4001
 
9.7%
a 3319
 
8.1%
n 2865
 
7.0%
r 2812
 
6.8%
i 2665
 
6.5%
t 2561
 
6.2%
o 2530
 
6.1%
l 1808
 
4.4%
s 1654
 
4.0%
h 1168
 
2.8%
Other values (43) 15773
38.3%
Hiragana
ValueCountFrequency (%)
き 4
 
7.7%
さ 4
 
7.7%
も 4
 
7.7%
へ 4
 
7.7%
り 4
 
7.7%
ゆ 3
 
5.8%
か 3
 
5.8%
ち 2
 
3.8%
い 2
 
3.8%
く 2
 
3.8%
Other values (18) 20
38.5%
Common
ValueCountFrequency (%)
4909
60.0%
, 1659
 
20.3%
? 454
 
5.6%
. 323
 
4.0%
( 306
 
3.7%
) 306
 
3.7%
- 66
 
0.8%
& 51
 
0.6%
― 42
 
0.5%
] 11
 
0.1%
Other values (13) 48
 
0.6%
Cyrillic
ValueCountFrequency (%)
а 3
 
13.0%
р 2
 
8.7%
Б 1
 
4.3%
Е 1
 
4.3%
Ж 1
 
4.3%
Н 1
 
4.3%
И 1
 
4.3%
А 1
 
4.3%
и 1
 
4.3%
ч 1
 
4.3%
Other values (10) 10
43.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49273
56.0%
Hangul 28516
32.4%
CJK 9390
 
10.7%
Katakana 570
 
0.6%
CJK Compat Ideographs 71
 
0.1%
Hiragana 52
 
0.1%
Punctuation 42
 
< 0.1%
Cyrillic 23
 
< 0.1%
None 19
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4909
 
10.0%
e 4001
 
8.1%
a 3319
 
6.7%
n 2865
 
5.8%
r 2812
 
5.7%
i 2665
 
5.4%
t 2561
 
5.2%
o 2530
 
5.1%
l 1808
 
3.7%
, 1659
 
3.4%
Other values (59) 20144
40.9%
Hangul
ValueCountFrequency (%)
원 1658
 
5.8%
국 1479
 
5.2%
한 1442
 
5.1%
지 1243
 
4.4%
산 1242
 
4.4%
연 1242
 
4.4%
허 1240
 
4.3%
재 1237
 
4.3%
특 1217
 
4.3%
구 1165
 
4.1%
Other values (416) 15351
53.8%
CJK
ValueCountFrequency (%)
産 291
 
3.1%
知 277
 
2.9%
財 269
 
2.9%
的 256
 
2.7%
所 234
 
2.5%
究 224
 
2.4%
會 221
 
2.4%
本 175
 
1.9%
硏 175
 
1.9%
田 169
 
1.8%
Other values (709) 7099
75.6%
Katakana
ValueCountFrequency (%)
ン 66
 
11.6%
タ 33
 
5.8%
セ 31
 
5.4%
ク 23
 
4.0%
イ 22
 
3.9%
リ 21
 
3.7%
ト 20
 
3.5%
ル 20
 
3.5%
ド 17
 
3.0%
ッ 17
 
3.0%
Other values (52) 300
52.6%
Punctuation
ValueCountFrequency (%)
― 42
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
李 16
22.5%
龍 11
15.5%
奈 6
 
8.5%
盧 5
 
7.0%
郎 5
 
7.0%
隆 4
 
5.6%
論 4
 
5.6%
良 3
 
4.2%
復 2
 
2.8%
栗 2
 
2.8%
Other values (9) 13
18.3%
None
ValueCountFrequency (%)
· 6
31.6%
　 5
26.3%
㈜ 4
21.1%
， 2
 
10.5%
´ 1
 
5.3%
＆ 1
 
5.3%
Hiragana
ValueCountFrequency (%)
き 4
 
7.7%
さ 4
 
7.7%
も 4
 
7.7%
へ 4
 
7.7%
り 4
 
7.7%
ゆ 3
 
5.8%
か 3
 
5.8%
ち 2
 
3.8%
い 2
 
3.8%
く 2
 
3.8%
Other values (18) 20
38.5%
Cyrillic
ValueCountFrequency (%)
а 3
 
13.0%
р 2
 
8.7%
Б 1
 
4.3%
Е 1
 
4.3%
Ж 1
 
4.3%
Н 1
 
4.3%
И 1
 
4.3%
А 1
 
4.3%
и 1
 
4.3%
ч 1
 
4.3%
Other values (10) 10
43.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

출판사
Text

Distinct2147
Distinct (%)21.6%
Missing42
Missing (%)0.4%
Memory size78.1 KiB
2023-12-13T06:32:26.908691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length137
Median length53
Mean length9.014484
Min length1

Characters and Unicode

Total characters89622
Distinct characters854
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

Unique1264 ?
Unique (%)12.7%

Sample

1st rowIndependent
2nd rowSimon & Schuste
3rd rowHarpercollins
4th rowOxford U.K
5th rowCRC
ValueCountFrequency (%)
특허청 1028
 
8.2%
한국지식재산연구원 783
 
6.3%
한국지식재산연구원(kiip 347
 
2.8%
press 296
 
2.4%
대외경제정책연구원(kiep 277
 
2.2%
특허심판원 219
 
1.8%
lexisnexis 181
 
1.5%
university 169
 
1.4%
oxford 157
 
1.3%
books 157
 
1.3%
Other values (1882) 8867
71.0%
2023-12-13T06:32:27.454891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5693
 
6.4%
e 2997
 
3.3%
원 2606
 
2.9%
s 2338
 
2.6%
r 2246
 
2.5%
한 2244
 
2.5%
I 2078
 
2.3%
국 2062
 
2.3%
연 2019
 
2.3%
구 1969
 
2.2%
Other values (844) 63370
70.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45174
50.4%
Lowercase Letter 24029
26.8%
Uppercase Letter 11390
 
12.7%
Space Separator 5695
 
6.4%
Open Punctuation 1089
 
1.2%
Close Punctuation 1088
 
1.2%
Other Punctuation 1005
 
1.1%
Dash Punctuation 80
 
0.1%
Decimal Number 61
 
0.1%
Other Symbol 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 2606
 
5.8%
한 2244
 
5.0%
국 2062
 
4.6%
연 2019
 
4.5%
구 1969
 
4.4%
지 1522
 
3.4%
산 1498
 
3.3%
특 1345
 
3.0%
허 1344
 
3.0%
재 1343
 
3.0%
Other values (765) 27222
60.3%
Uppercase Letter
ValueCountFrequency (%)
I 2078
18.2%
P 1859
16.3%
K 1012
 
8.9%
E 895
 
7.9%
O 567
 
5.0%
A 469
 
4.1%
W 464
 
4.1%
S 460
 
4.0%
L 459
 
4.0%
T 411
 
3.6%
Other values (19) 2716
23.8%
Lowercase Letter
ValueCountFrequency (%)
e 2997
12.5%
s 2338
 
9.7%
r 2246
 
9.3%
i 1957
 
8.1%
a 1872
 
7.8%
o 1813
 
7.5%
n 1629
 
6.8%
t 1287
 
5.4%
l 1238
 
5.2%
d 803
 
3.3%
Other values (16) 5849
24.3%
Other Punctuation
ValueCountFrequency (%)
? 752
74.8%
& 106
 
10.5%
. 69
 
6.9%
, 54
 
5.4%
' 7
 
0.7%
: 5
 
0.5%
· 4
 
0.4%
/ 4
 
0.4%
; 3
 
0.3%
： 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 30
49.2%
2 27
44.3%
3 3
 
4.9%
0 1
 
1.6%
Space Separator
ValueCountFrequency (%)
5693
> 99.9%
　 2
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 1088
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1087
99.9%
] 1
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 60
75.0%
― 20
 
25.0%
Other Symbol
ValueCountFrequency (%)
㈜ 10
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35805
40.0%
Latin 35419
39.5%
Common 9019
 
10.1%
Han 8466
 
9.4%
Katakana 814
 
0.9%
Hiragana 99
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 2606
 
7.3%
한 2244
 
6.3%
국 2062
 
5.8%
연 2019
 
5.6%
구 1969
 
5.5%
지 1522
 
4.3%
산 1498
 
4.2%
특 1345
 
3.8%
허 1344
 
3.8%
재 1343
 
3.8%
Other values (365) 17853
49.9%
Han
ValueCountFrequency (%)
社 434
 
5.1%
會 398
 
4.7%
協 395
 
4.7%
産 313
 
3.7%
明 270
 
3.2%
日 238
 
2.8%
經 223
 
2.6%
業 217
 
2.6%
財 212
 
2.5%
知 206
 
2.4%
Other values (304) 5560
65.7%
Katakana
ValueCountFrequency (%)
ン 100
 
12.3%
ド 54
 
6.6%
イ 54
 
6.6%
タ 42
 
5.2%
ス 41
 
5.0%
ダ 37
 
4.5%
セ 36
 
4.4%
ヤ 36
 
4.4%
モ 36
 
4.4%
ク 25
 
3.1%
Other values (52) 353
43.4%
Latin
ValueCountFrequency (%)
e 2997
 
8.5%
s 2338
 
6.6%
r 2246
 
6.3%
I 2078
 
5.9%
i 1957
 
5.5%
a 1872
 
5.3%
P 1859
 
5.2%
o 1813
 
5.1%
n 1629
 
4.6%
t 1287
 
3.6%
Other values (45) 15343
43.3%
Hiragana
ValueCountFrequency (%)
ん 10
 
10.1%
い 9
 
9.1%
せ 9
 
9.1%
ょ 8
 
8.1%
ぎ 8
 
8.1%
う 8
 
8.1%
か 7
 
7.1%
き 6
 
6.1%
す 4
 
4.0%
る 4
 
4.0%
Other values (15) 26
26.3%
Common
ValueCountFrequency (%)
5693
63.1%
( 1088
 
12.1%
) 1087
 
12.1%
? 752
 
8.3%
& 106
 
1.2%
. 69
 
0.8%
- 60
 
0.7%
, 54
 
0.6%
1 30
 
0.3%
2 27
 
0.3%
Other values (13) 53
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44405
49.5%
Hangul 35795
39.9%
CJK 8446
 
9.4%
Katakana 814
 
0.9%
Hiragana 99
 
0.1%
None 23
 
< 0.1%
Punctuation 20
 
< 0.1%
CJK Compat Ideographs 20
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5693
 
12.8%
e 2997
 
6.7%
s 2338
 
5.3%
r 2246
 
5.1%
I 2078
 
4.7%
i 1957
 
4.4%
a 1872
 
4.2%
P 1859
 
4.2%
o 1813
 
4.1%
n 1629
 
3.7%
Other values (61) 19923
44.9%
Hangul
ValueCountFrequency (%)
원 2606
 
7.3%
한 2244
 
6.3%
국 2062
 
5.8%
연 2019
 
5.6%
구 1969
 
5.5%
지 1522
 
4.3%
산 1498
 
4.2%
특 1345
 
3.8%
허 1344
 
3.8%
재 1343
 
3.8%
Other values (364) 17843
49.8%
CJK
ValueCountFrequency (%)
社 434
 
5.1%
會 398
 
4.7%
協 395
 
4.7%
産 313
 
3.7%
明 270
 
3.2%
日 238
 
2.8%
經 223
 
2.6%
業 217
 
2.6%
財 212
 
2.5%
知 206
 
2.4%
Other values (296) 5540
65.6%
Katakana
ValueCountFrequency (%)
ン 100
 
12.3%
ド 54
 
6.6%
イ 54
 
6.6%
タ 42
 
5.2%
ス 41
 
5.0%
ダ 37
 
4.5%
セ 36
 
4.4%
ヤ 36
 
4.4%
モ 36
 
4.4%
ク 25
 
3.1%
Other values (52) 353
43.4%
Punctuation
ValueCountFrequency (%)
― 20
100.0%
Hiragana
ValueCountFrequency (%)
ん 10
 
10.1%
い 9
 
9.1%
せ 9
 
9.1%
ょ 8
 
8.1%
ぎ 8
 
8.1%
う 8
 
8.1%
か 7
 
7.1%
き 6
 
6.1%
す 4
 
4.0%
る 4
 
4.0%
Other values (15) 26
26.3%
None
ValueCountFrequency (%)
㈜ 10
43.5%
· 4
 
17.4%
　 2
 
8.7%
Ｉ 2
 
8.7%
Ｓ 2
 
8.7%
Ｌ 2
 
8.7%
： 1
 
4.3%
CJK Compat Ideographs
ValueCountFrequency (%)
論 6
30.0%
率 3
15.0%
聯 3
15.0%
連 3
15.0%
龍 2
 
10.0%
理 1
 
5.0%
勞 1
 
5.0%
金 1
 
5.0%

출판년
Text

Distinct62
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size78.1 KiB
2023-12-13T06:32:27.661658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.9996995
Min length1

Characters and Unicode

Total characters39933
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)0.2%

Sample

1st row2006
2nd row2006
3rd row2005
4th row2006
5th row2002
ValueCountFrequency (%)
2013 1129
11.4%
2011 1007
10.1%
2012 961
 
9.7%
2010 804
 
8.1%
2008 707
 
7.1%
2014 670
 
6.7%
2009 664
 
6.7%
2007 641
 
6.4%
2003 518
 
5.2%
2006 415
 
4.2%
Other values (50) 2425
24.4%
2023-12-13T06:32:28.023394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 14490
36.3%
2 10455
26.2%
1 6906
17.3%
9 2167
 
5.4%
3 1690
 
4.2%
4 1066
 
2.7%
8 999
 
2.5%
7 780
 
2.0%
5 683
 
1.7%
6 524
 
1.3%
Other values (3) 173
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39760
99.6%
Space Separator 169
 
0.4%
Other Letter 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14490
36.4%
2 10455
26.3%
1 6906
17.4%
9 2167
 
5.5%
3 1690
 
4.3%
4 1066
 
2.7%
8 999
 
2.5%
7 780
 
2.0%
5 683
 
1.7%
6 524
 
1.3%
Other Letter
ValueCountFrequency (%)
평 2
50.0%
성 2
50.0%
Space Separator
ValueCountFrequency (%)
169
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39929
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 14490
36.3%
2 10455
26.2%
1 6906
17.3%
9 2167
 
5.4%
3 1690
 
4.2%
4 1066
 
2.7%
8 999
 
2.5%
7 780
 
2.0%
5 683
 
1.7%
6 524
 
1.3%
Hangul
ValueCountFrequency (%)
평 2
50.0%
성 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39929
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 14490
36.3%
2 10455
26.2%
1 6906
17.3%
9 2167
 
5.4%
3 1690
 
4.2%
4 1066
 
2.7%
8 999
 
2.5%
7 780
 
2.0%
5 683
 
1.7%
6 524
 
1.3%
Hangul
ValueCountFrequency (%)
평 2
50.0%
성 2
50.0%

청구기호
Text

Distinct6449
Distinct (%)64.7%
Missing9
Missing (%)0.1%
Memory size78.1 KiB
2023-12-13T06:32:28.377658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length13.433283
Min length1

Characters and Unicode

Total characters133997
Distinct characters344
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

Unique4880 ?
Unique (%)48.9%

Sample

1st row507.5004 A275p
2nd row507.554204 P288a
3rd row507.53104 C325a
4th row507.50804 C555b
5th row507.56504 M314c
ValueCountFrequency (%)
kiip 1059
 
5.3%
kipo 890
 
4.5%
kiep 397
 
2.0%
seminar 277
 
1.4%
507.518 242
 
1.2%
kipt 224
 
1.1%
forum 212
 
1.1%
etc 161
 
0.8%
507.50803 144
 
0.7%
kdi 140
 
0.7%
Other values (6073) 16093
81.1%
2023-12-13T06:32:28.786722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 20433
15.2%
5 15398
 
11.5%
1 10667
 
8.0%
9874
 
7.4%
2 9185
 
6.9%
7 7709
 
5.8%
. 6022
 
4.5%
3 5654
 
4.2%
4 4955
 
3.7%
I 4397
 
3.3%
Other values (334) 39703
29.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 83659
62.4%
Uppercase Letter 16558
 
12.4%
Space Separator 9875
 
7.4%
Other Letter 9103
 
6.8%
Other Punctuation 6090
 
4.5%
Lowercase Letter 5203
 
3.9%
Dash Punctuation 3371
 
2.5%
Close Punctuation 69
 
0.1%
Open Punctuation 69
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ㅈ 1177
 
12.9%
ㅅ 733
 
8.1%
ㄱ 661
 
7.3%
ㅇ 639
 
7.0%
ㅌ 625
 
6.9%
ㅎ 424
 
4.7%
한 333
 
3.7%
ㄷ 294
 
3.2%
ㅂ 291
 
3.2%
김 226
 
2.5%
Other values (265) 3700
40.6%
Uppercase Letter
ValueCountFrequency (%)
I 4397
26.6%
P 3043
18.4%
K 2942
17.8%
O 1091
 
6.6%
E 807
 
4.9%
T 625
 
3.8%
S 554
 
3.3%
C 491
 
3.0%
D 280
 
1.7%
F 276
 
1.7%
Other values (16) 2052
12.4%
Lowercase Letter
ValueCountFrequency (%)
i 850
16.3%
m 598
11.5%
r 556
10.7%
e 413
7.9%
a 403
7.7%
p 354
 
6.8%
n 334
 
6.4%
u 271
 
5.2%
c 261
 
5.0%
o 253
 
4.9%
Other values (14) 910
17.5%
Decimal Number
ValueCountFrequency (%)
0 20433
24.4%
5 15398
18.4%
1 10667
12.8%
2 9185
11.0%
7 7709
 
9.2%
3 5654
 
6.8%
4 4955
 
5.9%
8 4028
 
4.8%
6 2897
 
3.5%
9 2733
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 6022
98.9%
& 39
 
0.6%
? 17
 
0.3%
/ 12
 
0.2%
Space Separator
ValueCountFrequency (%)
9874
> 99.9%
　 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 3371
100.0%
Close Punctuation
ValueCountFrequency (%)
) 69
100.0%
Open Punctuation
ValueCountFrequency (%)
( 69
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 103133
77.0%
Latin 21761
 
16.2%
Hangul 9076
 
6.8%
Hiragana 27
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
ㅈ 1177
 
13.0%
ㅅ 733
 
8.1%
ㄱ 661
 
7.3%
ㅇ 639
 
7.0%
ㅌ 625
 
6.9%
ㅎ 424
 
4.7%
한 333
 
3.7%
ㄷ 294
 
3.2%
ㅂ 291
 
3.2%
김 226
 
2.5%
Other values (251) 3673
40.5%
Latin
ValueCountFrequency (%)
I 4397
20.2%
P 3043
14.0%
K 2942
13.5%
O 1091
 
5.0%
i 850
 
3.9%
E 807
 
3.7%
T 625
 
2.9%
m 598
 
2.7%
r 556
 
2.6%
S 554
 
2.5%
Other values (40) 6298
28.9%
Common
ValueCountFrequency (%)
0 20433
19.8%
5 15398
14.9%
1 10667
10.3%
9874
9.6%
2 9185
8.9%
7 7709
 
7.5%
. 6022
 
5.8%
3 5654
 
5.5%
4 4955
 
4.8%
8 4028
 
3.9%
Other values (9) 9208
8.9%
Hiragana
ValueCountFrequency (%)
へ 6
22.2%
り 5
18.5%
い 3
11.1%
ば 2
 
7.4%
れ 2
 
7.4%
じ 1
 
3.7%
ぽ 1
 
3.7%
え 1
 
3.7%
そ 1
 
3.7%
あ 1
 
3.7%
Other values (4) 4
14.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 124893
93.2%
Compat Jamo 5403
 
4.0%
Hangul 3673
 
2.7%
Hiragana 27
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 20433
16.4%
5 15398
12.3%
1 10667
 
8.5%
9874
 
7.9%
2 9185
 
7.4%
7 7709
 
6.2%
. 6022
 
4.8%
3 5654
 
4.5%
4 4955
 
4.0%
I 4397
 
3.5%
Other values (58) 30599
24.5%
Compat Jamo
ValueCountFrequency (%)
ㅈ 1177
21.8%
ㅅ 733
13.6%
ㄱ 661
12.2%
ㅇ 639
11.8%
ㅌ 625
11.6%
ㅎ 424
 
7.8%
ㄷ 294
 
5.4%
ㅂ 291
 
5.4%
ㅁ 203
 
3.8%
ㅊ 109
 
2.0%
Other values (5) 247
 
4.6%
Hangul
ValueCountFrequency (%)
한 333
 
9.1%
김 226
 
6.2%
이 199
 
5.4%
특 142
 
3.9%
정 114
 
3.1%
박 97
 
2.6%
중 88
 
2.4%
지 72
 
2.0%
대 70
 
1.9%
최 67
 
1.8%
Other values (236) 2265
61.7%
Hiragana
ValueCountFrequency (%)
へ 6
22.2%
り 5
18.5%
い 3
11.1%
ば 2
 
7.4%
れ 2
 
7.4%
じ 1
 
3.7%
ぽ 1
 
3.7%
え 1
 
3.7%
そ 1
 
3.7%
あ 1
 
3.7%
Other values (4) 4
14.8%
None
ValueCountFrequency (%)
　 1
100.0%

URL
Text

Distinct8066
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Memory size78.1 KiB
2023-12-13T06:32:29.172192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length54
Mean length54
Min length54

Characters and Unicode

Total characters539136
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

Unique7028 ?
Unique (%)70.4%

Sample

1st rowhttp://lib.kiip.re.kr/search/detail/CATTOT000000000445
2nd rowhttp://lib.kiip.re.kr/search/detail/CATTOT000000000447
3rd rowhttp://lib.kiip.re.kr/search/detail/CATTOT000000000448
4th rowhttp://lib.kiip.re.kr/search/detail/CATTOT000000000449
5th rowhttp://lib.kiip.re.kr/search/detail/CATTOT000000000451
ValueCountFrequency (%)
http://lib.kiip.re.kr/search/detail/cattot000000004626 53
 
0.5%
http://lib.kiip.re.kr/search/detail/cattot000000001179 35
 
0.4%
http://lib.kiip.re.kr/search/detail/cattot000000001408 29
 
0.3%
http://lib.kiip.re.kr/search/detail/cattot000000004649 23
 
0.2%
http://lib.kiip.re.kr/search/detail/cattot000000002105 14
 
0.1%
http://lib.kiip.re.kr/search/detail/cattot000000001695 12
 
0.1%
http://lib.kiip.re.kr/search/detail/cattot000000004229 12
 
0.1%
http://lib.kiip.re.kr/search/detail/cattot000000001763 10
 
0.1%
http://lib.kiip.re.kr/search/detail/cattot000000002093 10
 
0.1%
http://lib.kiip.re.kr/search/detail/cattot000000001483 10
 
0.1%
Other values (8056) 9776
97.9%
2023-12-13T06:32:29.655394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 78195
14.5%
/ 49920
 
9.3%
i 39936
 
7.4%
. 29952
 
5.6%
r 29952
 
5.6%
e 29952
 
5.6%
T 29952
 
5.6%
t 29952
 
5.6%
h 19968
 
3.7%
p 19968
 
3.7%
Other values (20) 181389
33.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 269568
50.0%
Decimal Number 119808
22.2%
Other Punctuation 89856
 
16.7%
Uppercase Letter 59904
 
11.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 39936
14.8%
r 29952
11.1%
e 29952
11.1%
t 29952
11.1%
h 19968
7.4%
p 19968
7.4%
l 19968
7.4%
k 19968
7.4%
a 19968
7.4%
d 9984
 
3.7%
Other values (3) 29952
11.1%
Decimal Number
ValueCountFrequency (%)
0 78195
65.3%
1 8906
 
7.4%
6 4905
 
4.1%
5 4603
 
3.8%
7 4428
 
3.7%
4 4368
 
3.6%
8 4163
 
3.5%
2 3904
 
3.3%
3 3227
 
2.7%
9 3109
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
T 29952
50.0%
C 9984
 
16.7%
O 9984
 
16.7%
A 9984
 
16.7%
Other Punctuation
ValueCountFrequency (%)
/ 49920
55.6%
. 29952
33.3%
: 9984
 
11.1%

Most occurring scripts

ValueCountFrequency (%)
Latin 329472
61.1%
Common 209664
38.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 39936
12.1%
r 29952
9.1%
e 29952
9.1%
T 29952
9.1%
t 29952
9.1%
h 19968
 
6.1%
p 19968
 
6.1%
l 19968
 
6.1%
k 19968
 
6.1%
a 19968
 
6.1%
Other values (7) 69888
21.2%
Common
ValueCountFrequency (%)
0 78195
37.3%
/ 49920
23.8%
. 29952
 
14.3%
: 9984
 
4.8%
1 8906
 
4.2%
6 4905
 
2.3%
5 4603
 
2.2%
7 4428
 
2.1%
4 4368
 
2.1%
8 4163
 
2.0%
Other values (3) 10240
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 539136
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 78195
14.5%
/ 49920
 
9.3%
i 39936
 
7.4%
. 29952
 
5.6%
r 29952
 
5.6%
e 29952
 
5.6%
T 29952
 
5.6%
t 29952
 
5.6%
h 19968
 
3.7%
p 19968
 
3.7%
Other values (20) 181389
33.6%

Unnamed: 7
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9984
Missing (%)100.0%
Memory size87.9 KiB

Unnamed: 8
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9984
Missing (%)100.0%
Memory size87.9 KiB

Interactions

2023-12-13T06:32:24.017526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:32:29.771359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번출판년
순번1.0000.886
출판년0.8861.000

Missing values

2023-12-13T06:32:24.158245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:32:24.317424image/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.
2023-12-13T06:32:24.447299image/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

순번서명저자출판사출판년청구기호URLUnnamed: 7Unnamed: 8
01A Patented World?: Privatisation of Life and KnowledgeAgostino, AnaIndependent2006507.5004 A275phttp://lib.kiip.re.kr/search/detail/CATTOT000000000445<NA><NA>
12All You Need to Know About the Music BusinessPassman, Donald SSimon & Schuste2006507.554204 P288ahttp://lib.kiip.re.kr/search/detail/CATTOT000000000447<NA><NA>
23American Corporate Identity 2006Carter, David EHarpercollins2005507.53104 C325ahttp://lib.kiip.re.kr/search/detail/CATTOT000000000448<NA><NA>
34Blackstone's Statutes on Intellectual PropertyChristie, AndrewOxford U.K2006507.50804 C555bhttp://lib.kiip.re.kr/search/detail/CATTOT000000000449<NA><NA>
45Cyber Forensics : A Field Manual for Collecting, Examining, and Preserving Evidence of Computer CrimesMarcella, Albert JCRC2002507.56504 M314chttp://lib.kiip.re.kr/search/detail/CATTOT000000000451<NA><NA>
56Information Feudalism : Who Owns the Knowledge Economy?Drahos, PeterNew Press2002507.50104 D759ihttp://lib.kiip.re.kr/search/detail/CATTOT000000000456<NA><NA>
67International Patent Treaties with CommentaryNelson, JonOxford University2007507.518104 N432ihttp://lib.kiip.re.kr/search/detail/CATTOT000000000457<NA><NA>
78International Trademarks And CopyrightsMasterson, John TAmer. Bar Assn.2004507.54504 M423ihttp://lib.kiip.re.kr/search/detail/CATTOT000000000459<NA><NA>
89Introduction to Computer LawBainbridge, DavidPearson2004507.56804 B162ihttp://lib.kiip.re.kr/search/detail/CATTOT000000000460<NA><NA>
910Law And Economics Of Antitrust And Intellectual PropertyKallay, DinaEdward Elgar2004507.50404 K14lhttp://lib.kiip.re.kr/search/detail/CATTOT000000000462<NA><NA>
순번서명저자출판사출판년청구기호URLUnnamed: 7Unnamed: 8
99749975Intellectual property in the new technological age /Merges, robert pWolters Kluwer2015507.50104 M559ihttp://lib.kiip.re.kr/search/detail/CATTOT000000018625<NA><NA>
99759976연봉 1억 영문 특허 번역 가이드북 : 특허번역 프리랜서를 위한 실무 매뉴얼류상민넥서스2015747.4 류51ㅇhttp://lib.kiip.re.kr/search/detail/CATTOT000000018626<NA><NA>
99769977특허법의 이론과 실무신혜은진원사2010507.511 신78ㅌhttp://lib.kiip.re.kr/search/detail/CATTOT000000018627<NA><NA>
99779978문화의 창조성과 지적재산 보호이케가미 쥰시그마프레스2008507.5052013 이678ㅁhttp://lib.kiip.re.kr/search/detail/CATTOT000000018628<NA><NA>
99789979특허법 : 사례,해설이규호진원사2015507.518 이16ㅌhttp://lib.kiip.re.kr/search/detail/CATTOT000000018629<NA><NA>
99799980弁理士?系短答過去問 特許法??用新案法?意匠法?商標法小松 正典法?書院;2015507.50803 소54ㅂhttp://lib.kiip.re.kr/search/detail/CATTOT000000018630<NA><NA>
99809981特許ノウハウ?施契約Q&A矢野 輝雄オ?ム社2011507.51103 시91ㅌhttp://lib.kiip.re.kr/search/detail/CATTOT000000018631<NA><NA>
99819982(생각보다 쉽네요!) 안드로이드 앱 만들기 : 동영상 강좌로 배우는 쉽고 빠른 스마트폰 앱 제작 가이드서창준영진닷컴2014005.11 서661ㅇhttp://lib.kiip.re.kr/search/detail/CATTOT000000018632<NA><NA>
99829983요양병원 보험관리의료행정연구회에듀팩토리2015338.6 의294ㅇhttp://lib.kiip.re.kr/search/detail/CATTOT000000018633<NA><NA>
99839984대한민국약전식품의약품안전청신일서적2015518.11 식695ㄷhttp://lib.kiip.re.kr/search/detail/CATTOT000000018634<NA><NA>