Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells10087
Missing cells (%)12.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory722.7 KiB
Average record size in memory74.0 B

Variable types

Numeric1
Text6
Unsupported1

Dataset

Description한국지식재산전문도서관 관련 도서 서지입니다.
Author한국지식재산연구원
URLhttps://www.data.go.kr/data/15055898/fileData.do

Alerts

Unnamed: 7 has 10000 (100.0%) missing valuesMissing
번호 has unique valuesUnique
Unnamed: 7 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 22:53:07.255525
Analysis finished2023-12-12 22:53:10.840963
Duration3.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8414.4903
Minimum3
Maximum16774
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T07:53:10.936842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile832.75
Q14227.75
median8416.5
Q312584.5
95-th percentile15904.05
Maximum16774
Range16771
Interquartile range (IQR)8356.75

Descriptive statistics

Standard deviation4836.8064
Coefficient of variation (CV)0.57481871
Kurtosis-1.2015533
Mean8414.4903
Median Absolute Deviation (MAD)4180
Skewness-0.015352899
Sum84144903
Variance23394696
MonotonicityNot monotonic
2023-12-13T07:53:11.073945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7677 1
 
< 0.1%
12011 1
 
< 0.1%
4832 1
 
< 0.1%
3974 1
 
< 0.1%
4862 1
 
< 0.1%
2819 1
 
< 0.1%
10526 1
 
< 0.1%
3806 1
 
< 0.1%
12497 1
 
< 0.1%
711 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
3 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
14 1
< 0.1%
15 1
< 0.1%
18 1
< 0.1%
19 1
< 0.1%
20 1
< 0.1%
ValueCountFrequency (%)
16774 1
< 0.1%
16773 1
< 0.1%
16772 1
< 0.1%
16768 1
< 0.1%
16766 1
< 0.1%
16764 1
< 0.1%
16758 1
< 0.1%
16756 1
< 0.1%
16748 1
< 0.1%
16747 1
< 0.1%

서명
Text

Distinct8562
Distinct (%)85.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T07:53:11.416644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length258
Median length173
Mean length35.1406
Min length1

Characters and Unicode

Total characters351406
Distinct characters2169
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

Unique7596 ?
Unique (%)76.0%

Sample

1st row공공저작물 저작권 관리 가이드라인
2nd rowNational intellectual property policy 2008 : 미국, 일본, 중국, 유럽정부의 지식재산 정책
3rd row(2006년판) 기술이전·사업화 백서
4th row광고와 상표명의 언어 연구
5th row(圖解) 知的財産マネジメント
ValueCountFrequency (%)
3546
 
5.8%
and 1528
 
2.5%
the 1211
 
2.0%
of 1029
 
1.7%
intellectual 682
 
1.1%
property 681
 
1.1%
및 588
 
1.0%
in 564
 
0.9%
law 539
 
0.9%
연구 539
 
0.9%
Other values (17180) 49779
82.0%
2023-12-13T07:53:11.920452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
56155
 
16.0%
e 15220
 
4.3%
t 12807
 
3.6%
n 12741
 
3.6%
a 11685
 
3.3%
o 10387
 
3.0%
i 10221
 
2.9%
r 8752
 
2.5%
s 6617
 
1.9%
l 6417
 
1.8%
Other values (2159) 200404
57.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 129268
36.8%
Other Letter 125263
35.6%
Space Separator 56173
16.0%
Uppercase Letter 18692
 
5.3%
Decimal Number 8680
 
2.5%
Other Punctuation 7953
 
2.3%
Close Punctuation 1792
 
0.5%
Open Punctuation 1791
 
0.5%
Dash Punctuation 949
 
0.3%
Math Symbol 561
 
0.2%
Other values (7) 284
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 2758
 
2.2%
지 2064
 
1.6%
한 1821
 
1.5%
제 1770
 
1.4%
산 1747
 
1.4%
기 1686
 
1.3%
사 1569
 
1.3%
재 1397
 
1.1%
이 1371
 
1.1%
국 1345
 
1.1%
Other values (2017) 107735
86.0%
Lowercase Letter
ValueCountFrequency (%)
e 15220
11.8%
t 12807
9.9%
n 12741
9.9%
a 11685
 
9.0%
o 10387
 
8.0%
i 10221
 
7.9%
r 8752
 
6.8%
s 6617
 
5.1%
l 6417
 
5.0%
c 5090
 
3.9%
Other values (24) 29331
22.7%
Uppercase Letter
ValueCountFrequency (%)
P 2414
12.9%
I 2175
11.6%
T 1758
 
9.4%
C 1464
 
7.8%
A 1381
 
7.4%
S 1259
 
6.7%
E 1085
 
5.8%
R 955
 
5.1%
L 817
 
4.4%
D 797
 
4.3%
Other values (18) 4587
24.5%
Other Punctuation
ValueCountFrequency (%)
: 3437
43.2%
, 1291
 
16.2%
. 853
 
10.7%
/ 845
 
10.6%
· 608
 
7.6%
& 295
 
3.7%
' 210
 
2.6%
・ 147
 
1.8%
? 82
 
1.0%
! 81
 
1.0%
Other values (12) 104
 
1.3%
Decimal Number
ValueCountFrequency (%)
0 2232
25.7%
2 1987
22.9%
1 1957
22.5%
4 478
 
5.5%
3 454
 
5.2%
5 366
 
4.2%
9 356
 
4.1%
7 304
 
3.5%
8 274
 
3.2%
6 267
 
3.1%
Other values (5) 5
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 61
38.9%
Ⅱ 53
33.8%
Ⅲ 16
 
10.2%
Ⅳ 13
 
8.3%
Ⅵ 4
 
2.5%
Ⅹ 3
 
1.9%
Ⅴ 3
 
1.9%
Ⅶ 2
 
1.3%
ⅱ 1
 
0.6%
Ⅷ 1
 
0.6%
Math Symbol
ValueCountFrequency (%)
= 439
78.3%
~ 56
 
10.0%
> 22
 
3.9%
< 22
 
3.9%
+ 14
 
2.5%
| 6
 
1.1%
∼ 2
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 1680
93.8%
] 66
 
3.7%
」 35
 
2.0%
』 5
 
0.3%
〉 5
 
0.3%
） 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1681
93.9%
[ 65
 
3.6%
「 35
 
2.0%
『 5
 
0.3%
〈 5
 
0.3%
Space Separator
ValueCountFrequency (%)
56155
> 99.9%
　 17
 
< 0.1%
  1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 784
82.6%
― 164
 
17.3%
– 1
 
0.1%
Modifier Letter
ValueCountFrequency (%)
ー 116
99.1%
々 1
 
0.9%
Other Symbol
ValueCountFrequency (%)
〓 1
50.0%
® 1
50.0%
Final Punctuation
ValueCountFrequency (%)
” 1
50.0%
’ 1
50.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Other Number
ValueCountFrequency (%)
² 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 148117
42.1%
Hangul 99457
28.3%
Common 78025
22.2%
Han 18121
 
5.2%
Hiragana 4304
 
1.2%
Katakana 3382
 
1.0%

Most frequent character per script

Han
ValueCountFrequency (%)
法 726
 
4.0%
知 518
 
2.9%
産 490
 
2.7%
特 473
 
2.6%
許 471
 
2.6%
的 461
 
2.5%
財 452
 
2.5%
權 259
 
1.4%
業 244
 
1.3%
務 217
 
1.2%
Other values (974) 13810
76.2%
Hangul
ValueCountFrequency (%)
의 2758
 
2.8%
지 2064
 
2.1%
한 1821
 
1.8%
제 1770
 
1.8%
산 1747
 
1.8%
기 1686
 
1.7%
사 1569
 
1.6%
재 1397
 
1.4%
이 1371
 
1.4%
국 1345
 
1.4%
Other values (892) 81929
82.4%
Katakana
ValueCountFrequency (%)
ン 301
 
8.9%
イ 177
 
5.2%
ス 175
 
5.2%
ト 165
 
4.9%
ア 121
 
3.6%
ド 116
 
3.4%
ジ 110
 
3.3%
ク 94
 
2.8%
ル 93
 
2.7%
ネ 93
 
2.7%
Other values (66) 1937
57.3%
Latin
ValueCountFrequency (%)
e 15220
 
10.3%
t 12807
 
8.6%
n 12741
 
8.6%
a 11685
 
7.9%
o 10387
 
7.0%
i 10221
 
6.9%
r 8752
 
5.9%
s 6617
 
4.5%
l 6417
 
4.3%
c 5090
 
3.4%
Other values (62) 48180
32.5%
Common
ValueCountFrequency (%)
56155
72.0%
: 3437
 
4.4%
0 2232
 
2.9%
2 1987
 
2.5%
1 1957
 
2.5%
( 1681
 
2.2%
) 1680
 
2.2%
, 1291
 
1.7%
. 853
 
1.1%
/ 845
 
1.1%
Other values (59) 5907
 
7.6%
Hiragana
ValueCountFrequency (%)
の 1089
25.3%
る 341
 
7.9%
と 336
 
7.8%
に 265
 
6.2%
か 168
 
3.9%
す 157
 
3.6%
を 141
 
3.3%
た 140
 
3.3%
め 103
 
2.4%
ら 93
 
2.2%
Other values (56) 1471
34.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 224756
64.0%
Hangul 99364
28.3%
CJK 17993
 
5.1%
Hiragana 4304
 
1.2%
Katakana 3645
 
1.0%
None 797
 
0.2%
Punctuation 168
 
< 0.1%
Number Forms 157
 
< 0.1%
CJK Compat Ideographs 127
 
< 0.1%
Compat Jamo 93
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
56155
25.0%
e 15220
 
6.8%
t 12807
 
5.7%
n 12741
 
5.7%
a 11685
 
5.2%
o 10387
 
4.6%
i 10221
 
4.5%
r 8752
 
3.9%
s 6617
 
2.9%
l 6417
 
2.9%
Other values (77) 73754
32.8%
Hangul
ValueCountFrequency (%)
의 2758
 
2.8%
지 2064
 
2.1%
한 1821
 
1.8%
제 1770
 
1.8%
산 1747
 
1.8%
기 1686
 
1.7%
사 1569
 
1.6%
재 1397
 
1.4%
이 1371
 
1.4%
국 1345
 
1.4%
Other values (890) 81836
82.4%
Hiragana
ValueCountFrequency (%)
の 1089
25.3%
る 341
 
7.9%
と 336
 
7.8%
に 265
 
6.2%
か 168
 
3.9%
す 157
 
3.6%
を 141
 
3.3%
た 140
 
3.3%
め 103
 
2.4%
ら 93
 
2.2%
Other values (56) 1471
34.2%
CJK
ValueCountFrequency (%)
法 726
 
4.0%
知 518
 
2.9%
産 490
 
2.7%
特 473
 
2.6%
許 471
 
2.6%
的 461
 
2.6%
財 452
 
2.5%
權 259
 
1.4%
業 244
 
1.4%
務 217
 
1.2%
Other values (952) 13682
76.0%
None
ValueCountFrequency (%)
· 608
76.3%
「 35
 
4.4%
」 35
 
4.4%
、 19
 
2.4%
　 17
 
2.1%
é 14
 
1.8%
！ 6
 
0.8%
』 5
 
0.6%
『 5
 
0.6%
〈 5
 
0.6%
Other values (27) 48
 
6.0%
Katakana
ValueCountFrequency (%)
ン 301
 
8.3%
イ 177
 
4.9%
ス 175
 
4.8%
ト 165
 
4.5%
・ 147
 
4.0%
ア 121
 
3.3%
ド 116
 
3.2%
ー 116
 
3.2%
ジ 110
 
3.0%
ク 94
 
2.6%
Other values (68) 2123
58.2%
Punctuation
ValueCountFrequency (%)
― 164
97.6%
– 1
 
0.6%
” 1
 
0.6%
’ 1
 
0.6%
‧ 1
 
0.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 92
98.9%
ㅇ 1
 
1.1%
Number Forms
ValueCountFrequency (%)
Ⅰ 61
38.9%
Ⅱ 53
33.8%
Ⅲ 16
 
10.2%
Ⅳ 13
 
8.3%
Ⅵ 4
 
2.5%
Ⅹ 3
 
1.9%
Ⅴ 3
 
1.9%
Ⅶ 2
 
1.3%
ⅱ 1
 
0.6%
Ⅷ 1
 
0.6%
CJK Compat Ideographs
ValueCountFrequency (%)
理 38
29.9%
論 15
 
11.8%
不 10
 
7.9%
利 8
 
6.3%
量 7
 
5.5%
連 6
 
4.7%
六 6
 
4.7%
年 5
 
3.9%
例 4
 
3.1%
金 4
 
3.1%
Other values (11) 24
18.9%
Math Operators
ValueCountFrequency (%)
∼ 2
100.0%

저자
Text

Distinct5506
Distinct (%)55.3%
Missing42
Missing (%)0.4%
Memory size156.2 KiB
2023-12-13T07:53:12.243686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length137
Median length102
Mean length8.0113477
Min length2

Characters and Unicode

Total characters79777
Distinct characters1609
Distinct categories14 ?
Distinct scripts6 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4355 ?
Unique (%)43.7%

Sample

1st row박재현
2nd row한국지식재산연구원
3rd row산업자원부
4th row채완
5th row朝日監査法人
ValueCountFrequency (%)
한국지식재산연구원 673
 
4.5%
특허청 622
 
4.2%
특허심판원 171
 
1.2%
united 86
 
0.6%
states 85
 
0.6%
s 77
 
0.5%
m 75
 
0.5%
office 65
 
0.4%
a 64
 
0.4%
david 63
 
0.4%
Other values (6897) 12814
86.6%
2023-12-13T07:53:12.756407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4834
 
6.1%
e 3209
 
4.0%
a 2827
 
3.5%
n 2304
 
2.9%
r 2192
 
2.7%
i 2108
 
2.6%
o 1915
 
2.4%
t 1741
 
2.2%
, 1509
 
1.9%
원 1406
 
1.8%
Other values (1599) 55732
69.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38831
48.7%
Lowercase Letter 25837
32.4%
Uppercase Letter 7477
 
9.4%
Space Separator 4839
 
6.1%
Other Punctuation 2081
 
2.6%
Close Punctuation 254
 
0.3%
Open Punctuation 253
 
0.3%
Dash Punctuation 91
 
0.1%
Modifier Letter 57
 
0.1%
Decimal Number 35
 
< 0.1%
Other values (4) 22
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 1406
 
3.6%
국 1231
 
3.2%
한 1193
 
3.1%
재 1076
 
2.8%
연 1051
 
2.7%
지 1021
 
2.6%
구 1006
 
2.6%
산 976
 
2.5%
식 938
 
2.4%
허 913
 
2.4%
Other values (1500) 28020
72.2%
Lowercase Letter
ValueCountFrequency (%)
e 3209
12.4%
a 2827
10.9%
n 2304
 
8.9%
r 2192
 
8.5%
i 2108
 
8.2%
o 1915
 
7.4%
t 1741
 
6.7%
l 1361
 
5.3%
s 1343
 
5.2%
h 1020
 
3.9%
Other values (27) 5817
22.5%
Uppercase Letter
ValueCountFrequency (%)
P 614
 
8.2%
S 576
 
7.7%
M 537
 
7.2%
I 532
 
7.1%
A 493
 
6.6%
C 488
 
6.5%
B 382
 
5.1%
R 374
 
5.0%
D 365
 
4.9%
J 339
 
4.5%
Other values (16) 2777
37.1%
Other Punctuation
ValueCountFrequency (%)
, 1509
72.5%
. 519
 
24.9%
& 33
 
1.6%
· 8
 
0.4%
' 5
 
0.2%
・ 3
 
0.1%
; 1
 
< 0.1%
＆ 1
 
< 0.1%
: 1
 
< 0.1%
/ 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 12
34.3%
3 7
20.0%
0 4
 
11.4%
4 4
 
11.4%
2 4
 
11.4%
6 2
 
5.7%
5 2
 
5.7%
Other Symbol
ValueCountFrequency (%)
㈜ 4
44.4%
ⓔ 3
33.3%
〓 1
 
11.1%
□ 1
 
11.1%
Math Symbol
ValueCountFrequency (%)
> 5
45.5%
< 5
45.5%
| 1
 
9.1%
Space Separator
ValueCountFrequency (%)
4834
99.9%
　 5
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 246
96.9%
] 8
 
3.1%
Open Punctuation
ValueCountFrequency (%)
( 246
97.2%
[ 7
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 65
71.4%
― 26
 
28.6%
Modifier Letter
ValueCountFrequency (%)
ー 56
98.2%
々 1
 
1.8%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
´ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 33315
41.8%
Hangul 30589
38.3%
Han 7706
 
9.7%
Common 7626
 
9.6%
Katakana 504
 
0.6%
Hiragana 37
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
産 215
 
2.8%
知 187
 
2.4%
財 184
 
2.4%
的 169
 
2.2%
所 160
 
2.1%
究 147
 
1.9%
會 142
 
1.8%
本 139
 
1.8%
田 123
 
1.6%
日 117
 
1.5%
Other values (819) 6123
79.5%
Hangul
ValueCountFrequency (%)
원 1406
 
4.6%
국 1231
 
4.0%
한 1193
 
3.9%
재 1076
 
3.5%
연 1051
 
3.4%
지 1021
 
3.3%
구 1006
 
3.3%
산 976
 
3.2%
식 938
 
3.1%
허 913
 
3.0%
Other values (591) 19778
64.7%
Katakana
ValueCountFrequency (%)
ン 59
 
11.7%
タ 30
 
6.0%
セ 28
 
5.6%
ク 20
 
4.0%
イ 19
 
3.8%
ル 19
 
3.8%
リ 18
 
3.6%
ト 18
 
3.6%
プ 14
 
2.8%
ラ 13
 
2.6%
Other values (55) 266
52.8%
Latin
ValueCountFrequency (%)
e 3209
 
9.6%
a 2827
 
8.5%
n 2304
 
6.9%
r 2192
 
6.6%
i 2108
 
6.3%
o 1915
 
5.7%
t 1741
 
5.2%
l 1361
 
4.1%
s 1343
 
4.0%
h 1020
 
3.1%
Other values (54) 13295
39.9%
Common
ValueCountFrequency (%)
4834
63.4%
, 1509
 
19.8%
. 519
 
6.8%
) 246
 
3.2%
( 246
 
3.2%
- 65
 
0.9%
ー 56
 
0.7%
& 33
 
0.4%
― 26
 
0.3%
1 12
 
0.2%
Other values (23) 80
 
1.0%
Hiragana
ValueCountFrequency (%)
も 6
16.2%
り 5
13.5%
ゆ 4
10.8%
か 3
8.1%
さ 3
8.1%
ら 2
 
5.4%
く 2
 
5.4%
き 2
 
5.4%
へ 2
 
5.4%
た 1
 
2.7%
Other values (7) 7
18.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40809
51.2%
Hangul 30585
38.3%
CJK 7642
 
9.6%
Katakana 563
 
0.7%
CJK Compat Ideographs 63
 
0.1%
None 47
 
0.1%
Hiragana 37
 
< 0.1%
Punctuation 26
 
< 0.1%
Enclosed Alphanum 3
 
< 0.1%
Geometric Shapes 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4834
 
11.8%
e 3209
 
7.9%
a 2827
 
6.9%
n 2304
 
5.6%
r 2192
 
5.4%
i 2108
 
5.2%
o 1915
 
4.7%
t 1741
 
4.3%
, 1509
 
3.7%
l 1361
 
3.3%
Other values (65) 16809
41.2%
Hangul
ValueCountFrequency (%)
원 1406
 
4.6%
국 1231
 
4.0%
한 1193
 
3.9%
재 1076
 
3.5%
연 1051
 
3.4%
지 1021
 
3.3%
구 1006
 
3.3%
산 976
 
3.2%
식 938
 
3.1%
허 913
 
3.0%
Other values (590) 19774
64.7%
CJK
ValueCountFrequency (%)
産 215
 
2.8%
知 187
 
2.4%
財 184
 
2.4%
的 169
 
2.2%
所 160
 
2.1%
究 147
 
1.9%
會 142
 
1.9%
本 139
 
1.8%
田 123
 
1.6%
日 117
 
1.5%
Other values (800) 6059
79.3%
Katakana
ValueCountFrequency (%)
ン 59
 
10.5%
ー 56
 
9.9%
タ 30
 
5.3%
セ 28
 
5.0%
ク 20
 
3.6%
イ 19
 
3.4%
ル 19
 
3.4%
リ 18
 
3.2%
ト 18
 
3.2%
プ 14
 
2.5%
Other values (57) 282
50.1%
CJK Compat Ideographs
ValueCountFrequency (%)
李 27
42.9%
龍 6
 
9.5%
郎 4
 
6.3%
盧 3
 
4.8%
隆 3
 
4.8%
奈 3
 
4.8%
論 3
 
4.8%
烈 2
 
3.2%
利 2
 
3.2%
連 2
 
3.2%
Other values (8) 8
 
12.7%
Punctuation
ValueCountFrequency (%)
― 26
100.0%
None
ValueCountFrequency (%)
ü 8
17.0%
· 8
17.0%
　 5
10.6%
é 4
8.5%
㈜ 4
8.5%
ö 4
8.5%
ė 2
 
4.3%
í 2
 
4.3%
ø 1
 
2.1%
〓 1
 
2.1%
Other values (8) 8
17.0%
Hiragana
ValueCountFrequency (%)
も 6
16.2%
り 5
13.5%
ゆ 4
10.8%
か 3
8.1%
さ 3
8.1%
ら 2
 
5.4%
く 2
 
5.4%
き 2
 
5.4%
へ 2
 
5.4%
た 1
 
2.7%
Other values (7) 7
18.9%
Enclosed Alphanum
ValueCountFrequency (%)
ⓔ 3
100.0%
Geometric Shapes
ValueCountFrequency (%)
□ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

출판사
Text

Distinct2836
Distinct (%)28.4%
Missing28
Missing (%)0.3%
Memory size156.2 KiB
2023-12-13T07:53:13.008353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length137
Median length55
Mean length8.6372844
Min length1

Characters and Unicode

Total characters86131
Distinct characters984
Distinct categories12 ?
Distinct scripts8 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1774 ?
Unique (%)17.8%

Sample

1st row문화체육관광부
2nd row한국지식재산연구원
3rd row산업자원부
4th row지교
5th row東洋經濟新聞社
ValueCountFrequency (%)
특허청 740
 
5.9%
한국지식재산연구원 631
 
5.0%
대외경제정책연구원(kiep 285
 
2.3%
press 253
 
2.0%
한국지식재산연구원(kiip 234
 
1.9%
한국발명진흥회 227
 
1.8%
지적재산권연구센터 179
 
1.4%
특허심판원 161
 
1.3%
university 149
 
1.2%
edward 141
 
1.1%
Other values (2517) 9587
76.2%
2023-12-13T07:53:13.469007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4759
 
5.5%
e 2700
 
3.1%
r 2224
 
2.6%
원 2115
 
2.5%
한 2089
 
2.4%
s 1956
 
2.3%
연 1883
 
2.2%
i 1869
 
2.2%
구 1849
 
2.1%
국 1848
 
2.1%
Other values (974) 62839
73.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46977
54.5%
Lowercase Letter 22382
26.0%
Uppercase Letter 9540
 
11.1%
Space Separator 4760
 
5.5%
Open Punctuation 952
 
1.1%
Close Punctuation 951
 
1.1%
Other Punctuation 284
 
0.3%
Decimal Number 141
 
0.2%
Dash Punctuation 71
 
0.1%
Modifier Letter 58
 
0.1%
Other values (2) 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 2115
 
4.5%
한 2089
 
4.4%
연 1883
 
4.0%
구 1849
 
3.9%
국 1848
 
3.9%
지 1426
 
3.0%
산 1351
 
2.9%
재 1239
 
2.6%
식 1050
 
2.2%
특 973
 
2.1%
Other values (890) 31154
66.3%
Uppercase Letter
ValueCountFrequency (%)
I 1640
17.2%
P 1522
16.0%
K 938
 
9.8%
E 889
 
9.3%
S 428
 
4.5%
A 386
 
4.0%
L 371
 
3.9%
O 355
 
3.7%
B 329
 
3.4%
N 318
 
3.3%
Other values (19) 2364
24.8%
Lowercase Letter
ValueCountFrequency (%)
e 2700
12.1%
r 2224
9.9%
s 1956
 
8.7%
i 1869
 
8.4%
a 1826
 
8.2%
n 1565
 
7.0%
o 1537
 
6.9%
l 1253
 
5.6%
t 1185
 
5.3%
d 804
 
3.6%
Other values (17) 5463
24.4%
Other Punctuation
ValueCountFrequency (%)
& 89
31.3%
, 77
27.1%
. 63
22.2%
・ 14
 
4.9%
/ 10
 
3.5%
: 10
 
3.5%
· 8
 
2.8%
' 5
 
1.8%
# 4
 
1.4%
; 4
 
1.4%
Decimal Number
ValueCountFrequency (%)
1 64
45.4%
2 61
43.3%
0 6
 
4.3%
8 6
 
4.3%
3 2
 
1.4%
5 1
 
0.7%
6 1
 
0.7%
Space Separator
ValueCountFrequency (%)
4759
> 99.9%
　 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 950
99.8%
[ 2
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 949
99.8%
] 2
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 62
87.3%
― 9
 
12.7%
Modifier Letter
ValueCountFrequency (%)
ー 58
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 14
100.0%
Nonspacing Mark
ValueCountFrequency (%)
̈ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38812
45.1%
Latin 31922
37.1%
Han 7398
 
8.6%
Common 7217
 
8.4%
Katakana 719
 
0.8%
Hiragana 60
 
0.1%
Arabic 2
 
< 0.1%
Inherited 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 2115
 
5.4%
한 2089
 
5.4%
연 1883
 
4.9%
구 1849
 
4.8%
국 1848
 
4.8%
지 1426
 
3.7%
산 1351
 
3.5%
재 1239
 
3.2%
식 1050
 
2.7%
특 973
 
2.5%
Other values (455) 22989
59.2%
Han
ValueCountFrequency (%)
社 395
 
5.3%
協 281
 
3.8%
會 272
 
3.7%
産 244
 
3.3%
明 197
 
2.7%
日 186
 
2.5%
会 180
 
2.4%
業 172
 
2.3%
經 156
 
2.1%
財 156
 
2.1%
Other values (342) 5159
69.7%
Katakana
ValueCountFrequency (%)
ン 93
 
12.9%
イ 48
 
6.7%
ド 43
 
6.0%
タ 36
 
5.0%
ス 33
 
4.6%
ダ 31
 
4.3%
ヤ 31
 
4.3%
モ 30
 
4.2%
セ 29
 
4.0%
ク 23
 
3.2%
Other values (51) 322
44.8%
Latin
ValueCountFrequency (%)
e 2700
 
8.5%
r 2224
 
7.0%
s 1956
 
6.1%
i 1869
 
5.9%
a 1826
 
5.7%
I 1640
 
5.1%
n 1565
 
4.9%
o 1537
 
4.8%
P 1522
 
4.8%
l 1253
 
3.9%
Other values (46) 13830
43.3%
Common
ValueCountFrequency (%)
4759
65.9%
( 950
 
13.2%
) 949
 
13.1%
& 89
 
1.2%
, 77
 
1.1%
1 64
 
0.9%
. 63
 
0.9%
- 62
 
0.9%
2 61
 
0.8%
ー 58
 
0.8%
Other values (16) 85
 
1.2%
Hiragana
ValueCountFrequency (%)
ん 5
 
8.3%
る 4
 
6.7%
す 4
 
6.7%
ぎ 4
 
6.7%
ょ 4
 
6.7%
う 4
 
6.7%
せ 4
 
6.7%
い 4
 
6.7%
み 3
 
5.0%
の 3
 
5.0%
Other values (12) 21
35.0%
Arabic
ValueCountFrequency (%)
ې 2
100.0%
Inherited
ValueCountFrequency (%)
̈ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39045
45.3%
Hangul 38798
45.0%
CJK 7390
 
8.6%
Katakana 791
 
0.9%
Hiragana 60
 
0.1%
None 27
 
< 0.1%
Punctuation 9
 
< 0.1%
CJK Compat Ideographs 8
 
< 0.1%
Arabic 2
 
< 0.1%
Diacriticals 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4759
 
12.2%
e 2700
 
6.9%
r 2224
 
5.7%
s 1956
 
5.0%
i 1869
 
4.8%
a 1826
 
4.7%
I 1640
 
4.2%
n 1565
 
4.0%
o 1537
 
3.9%
P 1522
 
3.9%
Other values (63) 17447
44.7%
Hangul
ValueCountFrequency (%)
원 2115
 
5.5%
한 2089
 
5.4%
연 1883
 
4.9%
구 1849
 
4.8%
국 1848
 
4.8%
지 1426
 
3.7%
산 1351
 
3.5%
재 1239
 
3.2%
식 1050
 
2.7%
특 973
 
2.5%
Other values (454) 22975
59.2%
CJK
ValueCountFrequency (%)
社 395
 
5.3%
協 281
 
3.8%
會 272
 
3.7%
産 244
 
3.3%
明 197
 
2.7%
日 186
 
2.5%
会 180
 
2.4%
業 172
 
2.3%
經 156
 
2.1%
財 156
 
2.1%
Other values (337) 5151
69.7%
Katakana
ValueCountFrequency (%)
ン 93
 
11.8%
ー 58
 
7.3%
イ 48
 
6.1%
ド 43
 
5.4%
タ 36
 
4.6%
ス 33
 
4.2%
ダ 31
 
3.9%
ヤ 31
 
3.9%
モ 30
 
3.8%
セ 29
 
3.7%
Other values (53) 359
45.4%
None
ValueCountFrequency (%)
㈜ 14
51.9%
· 8
29.6%
Ｌ 1
 
3.7%
Ｓ 1
 
3.7%
Ｉ 1
 
3.7%
ä 1
 
3.7%
　 1
 
3.7%
Punctuation
ValueCountFrequency (%)
― 9
100.0%
Hiragana
ValueCountFrequency (%)
ん 5
 
8.3%
る 4
 
6.7%
す 4
 
6.7%
ぎ 4
 
6.7%
ょ 4
 
6.7%
う 4
 
6.7%
せ 4
 
6.7%
い 4
 
6.7%
み 3
 
5.0%
の 3
 
5.0%
Other values (12) 21
35.0%
CJK Compat Ideographs
ValueCountFrequency (%)
連 3
37.5%
率 2
25.0%
聯 1
 
12.5%
勞 1
 
12.5%
理 1
 
12.5%
Arabic
ValueCountFrequency (%)
ې 2
100.0%
Diacriticals
ValueCountFrequency (%)
̈ 1
100.0%

출판년
Text

Distinct65
Distinct (%)0.7%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-13T07:53:13.670831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length4.0010001
Min length4

Characters and Unicode

Total characters40006
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

Unique15 ?
Unique (%)0.2%

Sample

1st row2010
2nd row2008
3rd row2007
4th row2010
5th row2003
ValueCountFrequency (%)
2011 844
 
8.5%
2008 759
 
7.6%
2013 749
 
7.5%
2010 697
 
7.0%
2017 695
 
7.0%
2012 654
 
6.6%
2009 612
 
6.1%
2016 604
 
6.1%
2015 586
 
5.9%
2014 576
 
5.8%
Other values (51) 3203
32.1%
2023-12-13T07:53:14.070968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 13730
34.3%
2 10205
25.5%
1 7439
18.6%
9 2031
 
5.1%
7 1336
 
3.3%
8 1265
 
3.2%
3 1088
 
2.7%
6 1034
 
2.6%
5 904
 
2.3%
4 888
 
2.2%
Other values (2) 86
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39920
99.8%
Space Separator 80
 
0.2%
Dash Punctuation 6
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13730
34.4%
2 10205
25.6%
1 7439
18.6%
9 2031
 
5.1%
7 1336
 
3.3%
8 1265
 
3.2%
3 1088
 
2.7%
6 1034
 
2.6%
5 904
 
2.3%
4 888
 
2.2%
Space Separator
ValueCountFrequency (%)
80
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 40006
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 13730
34.3%
2 10205
25.5%
1 7439
18.6%
9 2031
 
5.1%
7 1336
 
3.3%
8 1265
 
3.2%
3 1088
 
2.7%
6 1034
 
2.6%
5 904
 
2.3%
4 888
 
2.2%
Other values (2) 86
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40006
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 13730
34.3%
2 10205
25.5%
1 7439
18.6%
9 2031
 
5.1%
7 1336
 
3.3%
8 1265
 
3.2%
3 1088
 
2.7%
6 1034
 
2.6%
5 904
 
2.3%
4 888
 
2.2%
Other values (2) 86
 
0.2%

청구기호
Text

Distinct7604
Distinct (%)76.2%
Missing16
Missing (%)0.2%
Memory size156.2 KiB
2023-12-13T07:53:14.422242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length12.667668
Min length5

Characters and Unicode

Total characters126474
Distinct characters423
Distinct categories9 ?
Distinct scripts5 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6224 ?
Unique (%)62.3%

Sample

1st row507.554 박68ㄱ
2nd rowKIIP 2008-009
3rd rowGOV 2007-02ㄱ
4th row507.531 채99ㄱ
5th row507.5051013 조98ㅈ
ValueCountFrequency (%)
kiip 1042
 
5.2%
kipo 660
 
3.3%
kiep 383
 
1.9%
etc 182
 
0.9%
seminar 179
 
0.9%
507.518 167
 
0.8%
kipt 164
 
0.8%
kdi 154
 
0.8%
forum 131
 
0.7%
507.50804 109
 
0.5%
Other values (7957) 16788
84.1%
2023-12-13T07:53:15.195387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16439
13.0%
5 12598
 
10.0%
1 10433
 
8.2%
9977
 
7.9%
2 9133
 
7.2%
3 6872
 
5.4%
7 6293
 
5.0%
. 6075
 
4.8%
4 4984
 
3.9%
8 4463
 
3.5%
Other values (413) 39207
31.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 78673
62.2%
Uppercase Letter 14184
 
11.2%
Other Letter 10613
 
8.4%
Space Separator 9979
 
7.9%
Other Punctuation 6109
 
4.8%
Lowercase Letter 3891
 
3.1%
Dash Punctuation 2953
 
2.3%
Open Punctuation 36
 
< 0.1%
Close Punctuation 36
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ㅈ 1068
 
10.1%
ㅇ 857
 
8.1%
ㅅ 846
 
8.0%
ㄱ 752
 
7.1%
ㅌ 488
 
4.6%
ㅎ 476
 
4.5%
김 433
 
4.1%
ㅂ 410
 
3.9%
이 351
 
3.3%
ㄷ 320
 
3.0%
Other values (345) 4612
43.5%
Uppercase Letter
ValueCountFrequency (%)
I 3884
27.4%
P 2601
18.3%
K 2590
18.3%
O 830
 
5.9%
E 745
 
5.3%
T 540
 
3.8%
C 429
 
3.0%
S 401
 
2.8%
D 288
 
2.0%
A 209
 
1.5%
Other values (16) 1667
11.8%
Lowercase Letter
ValueCountFrequency (%)
i 627
16.1%
m 413
10.6%
r 388
10.0%
e 317
 
8.1%
a 285
 
7.3%
p 261
 
6.7%
n 222
 
5.7%
c 220
 
5.7%
u 182
 
4.7%
o 168
 
4.3%
Other values (14) 808
20.8%
Decimal Number
ValueCountFrequency (%)
0 16439
20.9%
5 12598
16.0%
1 10433
13.3%
2 9133
11.6%
3 6872
8.7%
7 6293
 
8.0%
4 4984
 
6.3%
8 4463
 
5.7%
6 4012
 
5.1%
9 3446
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 6075
99.4%
& 29
 
0.5%
/ 5
 
0.1%
Space Separator
ValueCountFrequency (%)
9977
> 99.9%
　 2
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 2953
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 97786
77.3%
Latin 18075
 
14.3%
Hangul 10592
 
8.4%
Hiragana 17
 
< 0.1%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
ㅈ 1068
 
10.1%
ㅇ 857
 
8.1%
ㅅ 846
 
8.0%
ㄱ 752
 
7.1%
ㅌ 488
 
4.6%
ㅎ 476
 
4.5%
김 433
 
4.1%
ㅂ 410
 
3.9%
이 351
 
3.3%
ㄷ 320
 
3.0%
Other values (330) 4591
43.3%
Latin
ValueCountFrequency (%)
I 3884
21.5%
P 2601
14.4%
K 2590
14.3%
O 830
 
4.6%
E 745
 
4.1%
i 627
 
3.5%
T 540
 
3.0%
C 429
 
2.4%
m 413
 
2.3%
S 401
 
2.2%
Other values (40) 5015
27.7%
Common
ValueCountFrequency (%)
0 16439
16.8%
5 12598
12.9%
1 10433
10.7%
9977
10.2%
2 9133
9.3%
3 6872
7.0%
7 6293
 
6.4%
. 6075
 
6.2%
4 4984
 
5.1%
8 4463
 
4.6%
Other values (8) 10519
10.8%
Hiragana
ValueCountFrequency (%)
へ 4
23.5%
り 4
23.5%
ぽ 1
 
5.9%
あ 1
 
5.9%
そ 1
 
5.9%
さ 1
 
5.9%
ま 1
 
5.9%
ほ 1
 
5.9%
べ 1
 
5.9%
に 1
 
5.9%
Han
ValueCountFrequency (%)
奥 1
25.0%
経 1
25.0%
黒 1
25.0%
青 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 115859
91.6%
Compat Jamo 6021
 
4.8%
Hangul 4571
 
3.6%
Hiragana 17
 
< 0.1%
CJK 4
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16439
14.2%
5 12598
10.9%
1 10433
 
9.0%
9977
 
8.6%
2 9133
 
7.9%
3 6872
 
5.9%
7 6293
 
5.4%
. 6075
 
5.2%
4 4984
 
4.3%
8 4463
 
3.9%
Other values (57) 28592
24.7%
Compat Jamo
ValueCountFrequency (%)
ㅈ 1068
17.7%
ㅇ 857
14.2%
ㅅ 846
14.1%
ㄱ 752
12.5%
ㅌ 488
8.1%
ㅎ 476
7.9%
ㅂ 410
 
6.8%
ㄷ 320
 
5.3%
ㅁ 274
 
4.6%
ㅊ 149
 
2.5%
Other values (7) 381
 
6.3%
Hangul
ValueCountFrequency (%)
김 433
 
9.5%
이 351
 
7.7%
한 226
 
4.9%
박 185
 
4.0%
정 159
 
3.5%
조 100
 
2.2%
최 95
 
2.1%
특 81
 
1.8%
송 77
 
1.7%
고 63
 
1.4%
Other values (313) 2801
61.3%
Hiragana
ValueCountFrequency (%)
へ 4
23.5%
り 4
23.5%
ぽ 1
 
5.9%
あ 1
 
5.9%
そ 1
 
5.9%
さ 1
 
5.9%
ま 1
 
5.9%
ほ 1
 
5.9%
べ 1
 
5.9%
に 1
 
5.9%
None
ValueCountFrequency (%)
　 2
100.0%
CJK
ValueCountFrequency (%)
奥 1
25.0%
経 1
25.0%
黒 1
25.0%
青 1
25.0%

주소
Text

Distinct8734
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T07:53:15.491043image/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

Unique7859 ?
Unique (%)78.6%

Sample

1st rowhttp://lib.kiip.re.kr/search/detail/CATTOT000000012633
2nd rowhttp://lib.kiip.re.kr/search/detail/CATTOT000000006189
3rd rowhttp://lib.kiip.re.kr/search/detail/CATTOT000000006907
4th rowhttp://lib.kiip.re.kr/search/detail/CATTOT000000020057
5th rowhttp://lib.kiip.re.kr/search/detail/CATTOT000000001072
ValueCountFrequency (%)
http://lib.kiip.re.kr/search/detail/cattot000000001179 27
 
0.3%
http://lib.kiip.re.kr/search/detail/cattot000000001408 13
 
0.1%
http://lib.kiip.re.kr/search/detail/cattot000000004229 9
 
0.1%
http://lib.kiip.re.kr/search/detail/cattot000000001695 9
 
0.1%
http://lib.kiip.re.kr/search/detail/cattot000000004049 8
 
0.1%
http://lib.kiip.re.kr/search/detail/cattot000000002105 8
 
0.1%
http://lib.kiip.re.kr/search/detail/cattot000000005582 7
 
0.1%
http://lib.kiip.re.kr/search/detail/cattot000000001483 7
 
0.1%
http://lib.kiip.re.kr/search/detail/cattot000000000964 7
 
0.1%
http://lib.kiip.re.kr/search/detail/cattot000000004730 7
 
0.1%
Other values (8724) 9898
99.0%
2023-12-13T07:53:15.899022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 78778
14.6%
/ 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) 181222
33.6%

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 78778
65.6%
1 8422
 
7.0%
2 4959
 
4.1%
6 4404
 
3.7%
5 4342
 
3.6%
8 4200
 
3.5%
7 4095
 
3.4%
9 3868
 
3.2%
4 3838
 
3.2%
3 3094
 
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%

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 78778
37.5%
/ 50000
23.8%
. 30000
 
14.3%
: 10000
 
4.8%
1 8422
 
4.0%
2 4959
 
2.4%
6 4404
 
2.1%
5 4342
 
2.1%
8 4200
 
2.0%
7 4095
 
1.9%
Other values (3) 10800
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 540000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 78778
14.6%
/ 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) 181222
33.6%

Unnamed: 7
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Interactions

2023-12-13T07:53:10.419192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:53:15.987555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호출판년
번호1.0000.909
출판년0.9091.000

Missing values

2023-12-13T07:53:10.540315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:53:10.672735image/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.
2023-12-13T07:53:10.779586image/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

번호서명저자출판사출판년청구기호주소Unnamed: 7
76767677공공저작물 저작권 관리 가이드라인박재현문화체육관광부2010507.554 박68ㄱhttp://lib.kiip.re.kr/search/detail/CATTOT000000012633<NA>
40024003National intellectual property policy 2008 : 미국, 일본, 중국, 유럽정부의 지식재산 정책한국지식재산연구원한국지식재산연구원2008KIIP 2008-009http://lib.kiip.re.kr/search/detail/CATTOT000000006189<NA>
48144815(2006년판) 기술이전·사업화 백서산업자원부산업자원부2007GOV 2007-02ㄱhttp://lib.kiip.re.kr/search/detail/CATTOT000000006907<NA>
1431014311광고와 상표명의 언어 연구채완지교2010507.531 채99ㄱhttp://lib.kiip.re.kr/search/detail/CATTOT000000020057<NA>
37863787(圖解) 知的財産マネジメント朝日監査法人東洋經濟新聞社2003507.5051013 조98ㅈhttp://lib.kiip.re.kr/search/detail/CATTOT000000001072<NA>
92219222アメリカ特許実務マニュアル井上知哉中央経済社2012507.5103 정51ETChttp://lib.kiip.re.kr/search/detail/CATTOT000000013401<NA>
1493314934(창업을 대비하는) 지식재산입문(개정판)김대익Maronie2017507.501 김28ㅈhttp://lib.kiip.re.kr/search/detail/CATTOT000000020411<NA>
38523853(선에 대한 끝없는 투쟁) 악마의 역사폴 카루스더불어책2003211.16 폴61ㅇhttp://lib.kiip.re.kr/search/detail/CATTOT000000006054<NA>
170717082002 稅務便覽한국공인회계사회한국공인회계사회2002329 한15ㄱhttp://lib.kiip.re.kr/search/detail/CATTOT000000002125<NA>
25222523제5회 국가 R&D IP 포럼 : 글로벌 시장 경쟁력 강화를 위한 지식재산 전략한국지식재산연구원IITA2008Forum R&D-005http://lib.kiip.re.kr/search/detail/CATTOT000000004885<NA>
번호서명저자출판사출판년청구기호주소Unnamed: 7
1444814449How to write a patent application/Jeffrey G. SheldonPractising Law Institute2015507.51404 J46hhttp://lib.kiip.re.kr/search/detail/CATTOT000000019915<NA>
1257512576은행의 보수적 금융행태가 기업성과에 미치는 영향구자현한국개발연구원2014KDI 2014-12ㅇhttp://lib.kiip.re.kr/search/detail/CATTOT000000018397<NA>
1446014461Global Legal Issues(Ⅰ) = 글로벌 법제 동향 모니터링 및 이슈 분석 보고서한국법제연구원(KLRI)한국법제연구원(KLRI)2016KLRI 2016-03Ghttp://lib.kiip.re.kr/search/detail/CATTOT000000020012<NA>
29402941한미FTA 지재권협상의 경제적 효과한국지식재산연구원한국지식재산연구원2006Forum 20061128http://lib.kiip.re.kr/search/detail/CATTOT000000004291<NA>
33943395표준전쟁 = The Savage Tale of The First Standard War톰 맥니콜알마2007561.1 톰38ㅍhttp://lib.kiip.re.kr/search/detail/CATTOT000000005659<NA>
73297330연구성과교류 지원사업: 게임물의 제작과 영업비밀의 보호 요건김윤명한국지식재산연구원(KIIP)2011KIIP 2011-015http://lib.kiip.re.kr/search/detail/CATTOT000000009311<NA>
95329533The Law Relating to Copyright and Trade Marks, Treated More Particularly with Reference to InfringementSlater, John HerbertGeneral Books2013507.51804 S631lhttp://lib.kiip.re.kr/search/detail/CATTOT000000015557<NA>
383384約款規制法李銀榮박영사1994365.8 이96ㅇhttp://lib.kiip.re.kr/search/detail/CATTOT000000000821<NA>
96819682Chisum on Patents. 1-16 /Chisum, Donald S.LexisNexis2013507.518 C542chttp://lib.kiip.re.kr/search/detail/CATTOT000000001179<NA>
42844285ITロ―ドマップ 2009年版 : 情報通信機術は5年後こう變わる野村總合硏究所 機術調査部東洋經濟新報社2009325.43103 야64ㅊhttp://lib.kiip.re.kr/search/detail/CATTOT000000006365<NA>