Overview

Dataset statistics

Number of variables7
Number of observations5687
Missing cells2947
Missing cells (%)7.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory316.7 KiB
Average record size in memory57.0 B

Variable types

Text6
Categorical1

Dataset

Description국립암센터에서 19년도 9월까지 국립암센터홈페이지를 통해 개방하는 저널정보입니다. 출간년도, 저널명등의 정보가 있습니다.
Author국립암센터
URLhttps://www.data.go.kr/data/15049627/fileData.do

Alerts

영향 has 2947 (51.8%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:30:48.061256
Analysis finished2023-12-12 21:30:49.295038
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Text

UNIQUE 

Distinct5687
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size44.6 KiB
2023-12-13T06:30:49.689102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.6296817
Min length1

Characters and Unicode

Total characters26329
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5687 ?
Unique (%)100.0%

Sample

1st row473
2nd row474
3rd row475
4th row476
5th row477
ValueCountFrequency (%)
473 1
 
< 0.1%
5,667 1
 
< 0.1%
3,006 1
 
< 0.1%
3,005 1
 
< 0.1%
3,004 1
 
< 0.1%
3,003 1
 
< 0.1%
3,002 1
 
< 0.1%
3,001 1
 
< 0.1%
3,000 1
 
< 0.1%
5,586 1
 
< 0.1%
Other values (5677) 5677
99.8%
2023-12-13T06:30:50.315139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 4688
17.8%
4 2739
10.4%
3 2739
10.4%
1 2739
10.4%
2 2739
10.4%
5 2427
9.2%
6 1727
 
6.6%
7 1639
 
6.2%
8 1636
 
6.2%
0 1628
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21641
82.2%
Other Punctuation 4688
 
17.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 2739
12.7%
3 2739
12.7%
1 2739
12.7%
2 2739
12.7%
5 2427
11.2%
6 1727
8.0%
7 1639
7.6%
8 1636
7.6%
0 1628
7.5%
9 1628
7.5%
Other Punctuation
ValueCountFrequency (%)
, 4688
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26329
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
, 4688
17.8%
4 2739
10.4%
3 2739
10.4%
1 2739
10.4%
2 2739
10.4%
5 2427
9.2%
6 1727
 
6.6%
7 1639
 
6.2%
8 1636
 
6.2%
0 1628
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26329
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 4688
17.8%
4 2739
10.4%
3 2739
10.4%
1 2739
10.4%
2 2739
10.4%
5 2427
9.2%
6 1727
 
6.6%
7 1639
 
6.2%
8 1636
 
6.2%
0 1628
 
6.2%

제목
Text

Distinct5599
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size44.6 KiB
2023-12-13T06:30:50.621156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length78
Mean length29.106559
Min length2

Characters and Unicode

Total characters165529
Distinct characters279
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5535 ?
Unique (%)97.3%

Sample

1st rowPLANT AND CELL PHYSIOLOGY
2nd rowPROTEIN ENGINEERING, DESIGN AND SELECTION
3rd rowPUBLIUS
4th rowQUARTERLY JOURNAL OF MATHEMATICS
5th rowRADIATION PROTECTION DOSIMETRY
ValueCountFrequency (%)
of 1710
 
8.1%
journal 1537
 
7.3%
and 1366
 
6.5%
in 543
 
2.6%
research 353
 
1.7%
international 347
 
1.6%
302
 
1.4%
the 279
 
1.3%
science 237
 
1.1%
medicine 147
 
0.7%
Other values (3602) 14335
67.8%
2023-12-13T06:30:51.090361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15472
 
9.3%
E 14068
 
8.5%
A 13949
 
8.4%
O 13288
 
8.0%
N 12981
 
7.8%
I 12538
 
7.6%
R 10319
 
6.2%
T 8719
 
5.3%
C 8521
 
5.1%
L 8309
 
5.0%
Other values (269) 47365
28.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 146218
88.3%
Space Separator 15472
 
9.3%
Other Letter 2699
 
1.6%
Other Punctuation 769
 
0.5%
Dash Punctuation 260
 
0.2%
Decimal Number 51
 
< 0.1%
Open Punctuation 28
 
< 0.1%
Close Punctuation 26
 
< 0.1%
Math Symbol 5
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 292
 
10.8%
지 254
 
9.4%
회 231
 
8.6%
한 204
 
7.6%
대 197
 
7.3%
의 103
 
3.8%
과 62
 
2.3%
국 44
 
1.6%
정 35
 
1.3%
신 30
 
1.1%
Other values (221) 1247
46.2%
Uppercase Letter
ValueCountFrequency (%)
E 14068
 
9.6%
A 13949
 
9.5%
O 13288
 
9.1%
N 12981
 
8.9%
I 12538
 
8.6%
R 10319
 
7.1%
T 8719
 
6.0%
C 8521
 
5.8%
L 8309
 
5.7%
S 7996
 
5.5%
Other values (16) 35530
24.3%
Decimal Number
ValueCountFrequency (%)
0 12
23.5%
9 12
23.5%
1 8
15.7%
2 6
11.8%
6 4
 
7.8%
4 4
 
7.8%
3 2
 
3.9%
8 2
 
3.9%
5 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 301
39.1%
& 186
24.2%
: 183
23.8%
. 57
 
7.4%
/ 40
 
5.2%
* 2
 
0.3%
Math Symbol
ValueCountFrequency (%)
= 4
80.0%
+ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
15472
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 260
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Other Symbol
ValueCountFrequency (%)
™ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 146218
88.3%
Common 16612
 
10.0%
Hangul 2691
 
1.6%
Han 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 292
 
10.9%
지 254
 
9.4%
회 231
 
8.6%
한 204
 
7.6%
대 197
 
7.3%
의 103
 
3.8%
과 62
 
2.3%
국 44
 
1.6%
정 35
 
1.3%
신 30
 
1.1%
Other values (218) 1239
46.0%
Latin
ValueCountFrequency (%)
E 14068
 
9.6%
A 13949
 
9.5%
O 13288
 
9.1%
N 12981
 
8.9%
I 12538
 
8.6%
R 10319
 
7.1%
T 8719
 
6.0%
C 8521
 
5.8%
L 8309
 
5.7%
S 7996
 
5.5%
Other values (16) 35530
24.3%
Common
ValueCountFrequency (%)
15472
93.1%
, 301
 
1.8%
- 260
 
1.6%
& 186
 
1.1%
: 183
 
1.1%
. 57
 
0.3%
/ 40
 
0.2%
( 28
 
0.2%
) 26
 
0.2%
0 12
 
0.1%
Other values (12) 47
 
0.3%
Han
ValueCountFrequency (%)
年 4
50.0%
今 2
25.0%
至 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 162829
98.4%
Hangul 2691
 
1.6%
CJK 8
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15472
 
9.5%
E 14068
 
8.6%
A 13949
 
8.6%
O 13288
 
8.2%
N 12981
 
8.0%
I 12538
 
7.7%
R 10319
 
6.3%
T 8719
 
5.4%
C 8521
 
5.2%
L 8309
 
5.1%
Other values (37) 44665
27.4%
Hangul
ValueCountFrequency (%)
학 292
 
10.9%
지 254
 
9.4%
회 231
 
8.6%
한 204
 
7.6%
대 197
 
7.3%
의 103
 
3.8%
과 62
 
2.3%
국 44
 
1.6%
정 35
 
1.3%
신 30
 
1.1%
Other values (218) 1239
46.0%
CJK
ValueCountFrequency (%)
年 4
50.0%
今 2
25.0%
至 2
25.0%
Letterlike Symbols
ValueCountFrequency (%)
™ 1
100.0%

출판인
Text

Distinct497
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size44.6 KiB
2023-12-13T06:30:51.357177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length98
Median length76
Mean length16.588535
Min length1

Characters and Unicode

Total characters94339
Distinct characters272
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique396 ?
Unique (%)7.0%

Sample

1st rowOXFORD UNIVERSITY PRESS
2nd rowOXFORD UNIVERSITY PRESS
3rd rowOXFORD UNIVERSITY PRESS
4th rowOXFORD UNIVERSITY PRESS
5th rowOXFORD UNIVERSITY PRESS
ValueCountFrequency (%)
elsevier 1187
 
9.9%
springer 1080
 
9.0%
737
 
6.1%
academic 549
 
4.6%
netherlands 544
 
4.5%
press 497
 
4.1%
blackwell 423
 
3.5%
bublishing 414
 
3.4%
pergamon 407
 
3.4%
heidelberg 253
 
2.1%
Other values (614) 5933
49.3%
2023-12-13T06:30:51.793674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
E 11295
 
12.0%
I 8259
 
8.8%
R 7689
 
8.2%
S 7198
 
7.6%
7019
 
7.4%
L 6656
 
7.1%
N 6206
 
6.6%
A 4505
 
4.8%
C 3149
 
3.3%
P 3028
 
3.2%
Other values (262) 29335
31.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 82348
87.3%
Space Separator 7019
 
7.4%
Other Letter 3181
 
3.4%
Other Punctuation 1311
 
1.4%
Dash Punctuation 317
 
0.3%
Close Punctuation 55
 
0.1%
Open Punctuation 55
 
0.1%
Math Symbol 52
 
0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 403
 
12.7%
회 326
 
10.2%
대 316
 
9.9%
한 311
 
9.8%
의 116
 
3.6%
과 97
 
3.0%
국 81
 
2.5%
구 50
 
1.6%
연 48
 
1.5%
소 45
 
1.4%
Other values (226) 1388
43.6%
Uppercase Letter
ValueCountFrequency (%)
E 11295
13.7%
I 8259
 
10.0%
R 7689
 
9.3%
S 7198
 
8.7%
L 6656
 
8.1%
N 6206
 
7.5%
A 4505
 
5.5%
C 3149
 
3.8%
P 3028
 
3.7%
G 2806
 
3.4%
Other values (16) 21557
26.2%
Other Punctuation
ValueCountFrequency (%)
. 417
31.8%
/ 386
29.4%
& 336
25.6%
, 172
13.1%
Space Separator
ValueCountFrequency (%)
7019
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 317
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Math Symbol
ValueCountFrequency (%)
+ 52
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 82348
87.3%
Common 8810
 
9.3%
Hangul 3181
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 403
 
12.7%
회 326
 
10.2%
대 316
 
9.9%
한 311
 
9.8%
의 116
 
3.6%
과 97
 
3.0%
국 81
 
2.5%
구 50
 
1.6%
연 48
 
1.5%
소 45
 
1.4%
Other values (226) 1388
43.6%
Latin
ValueCountFrequency (%)
E 11295
13.7%
I 8259
 
10.0%
R 7689
 
9.3%
S 7198
 
8.7%
L 6656
 
8.1%
N 6206
 
7.5%
A 4505
 
5.5%
C 3149
 
3.8%
P 3028
 
3.7%
G 2806
 
3.4%
Other values (16) 21557
26.2%
Common
ValueCountFrequency (%)
7019
79.7%
. 417
 
4.7%
/ 386
 
4.4%
& 336
 
3.8%
- 317
 
3.6%
, 172
 
2.0%
) 55
 
0.6%
( 55
 
0.6%
+ 52
 
0.6%
3 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 91158
96.6%
Hangul 3181
 
3.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 11295
12.4%
I 8259
 
9.1%
R 7689
 
8.4%
S 7198
 
7.9%
7019
 
7.7%
L 6656
 
7.3%
N 6206
 
6.8%
A 4505
 
4.9%
C 3149
 
3.5%
P 3028
 
3.3%
Other values (26) 26154
28.7%
Hangul
ValueCountFrequency (%)
학 403
 
12.7%
회 326
 
10.2%
대 316
 
9.9%
한 311
 
9.8%
의 116
 
3.6%
과 97
 
3.0%
국 81
 
2.5%
구 50
 
1.6%
연 48
 
1.5%
소 45
 
1.4%
Other values (226) 1388
43.6%

저널 번호
Text

Distinct5566
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size44.6 KiB
2023-12-13T06:30:52.095229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.9001231
Min length1

Characters and Unicode

Total characters50615
Distinct characters13
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

Unique5514 ?
Unique (%)97.0%

Sample

1st row0032-0781
2nd row1741-0126
3rd row0048-5950
4th row0033-5606
5th row0144-8420
ValueCountFrequency (%)
1225-7044 2
 
< 0.1%
0021-5155 2
 
< 0.1%
0305-7364 2
 
< 0.1%
0024-4074 2
 
< 0.1%
0016-7746 2
 
< 0.1%
1225-8245 2
 
< 0.1%
1225-097x 2
 
< 0.1%
0002-9270 2
 
< 0.1%
0894-9867 2
 
< 0.1%
0935-9648 2
 
< 0.1%
Other values (5555) 5596
99.6%
2023-12-13T06:30:52.577926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8271
16.3%
1 5915
11.7%
- 5616
11.1%
2 4221
8.3%
3 3969
7.8%
9 3963
7.8%
6 3924
7.8%
4 3670
7.3%
5 3615
7.1%
7 3570
7.1%
Other values (3) 3881
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 44435
87.8%
Dash Punctuation 5616
 
11.1%
Uppercase Letter 493
 
1.0%
Space Separator 71
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8271
18.6%
1 5915
13.3%
2 4221
9.5%
3 3969
8.9%
9 3963
8.9%
6 3924
8.8%
4 3670
8.3%
5 3615
8.1%
7 3570
8.0%
8 3317
7.5%
Dash Punctuation
ValueCountFrequency (%)
- 5616
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 493
100.0%
Space Separator
ValueCountFrequency (%)
71
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 50122
99.0%
Latin 493
 
1.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8271
16.5%
1 5915
11.8%
- 5616
11.2%
2 4221
8.4%
3 3969
7.9%
9 3963
7.9%
6 3924
7.8%
4 3670
7.3%
5 3615
7.2%
7 3570
7.1%
Other values (2) 3388
6.8%
Latin
ValueCountFrequency (%)
X 493
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50615
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8271
16.3%
1 5915
11.7%
- 5616
11.1%
2 4221
8.3%
3 3969
7.8%
9 3963
7.8%
6 3924
7.8%
4 3670
7.3%
5 3615
7.1%
7 3570
7.1%
Other values (3) 3881
7.7%

유형
Text

Distinct98
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size44.6 KiB
2023-12-13T06:30:52.796515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.9403904
Min length1

Characters and Unicode

Total characters22409
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)0.5%

Sample

1st row1959
2nd row1986
3rd row2006
4th row1932
5th row1981
ValueCountFrequency (%)
1997 1236
22.1%
2000 391
 
7.0%
1998 297
 
5.3%
1996 283
 
5.1%
1999 259
 
4.6%
2001 250
 
4.5%
1995 176
 
3.2%
2002 165
 
3.0%
2004 152
 
2.7%
2005 139
 
2.5%
Other values (87) 2234
40.0%
2023-12-13T06:30:53.197165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 7357
32.8%
1 4687
20.9%
0 3324
14.8%
7 1906
 
8.5%
2 1727
 
7.7%
8 1146
 
5.1%
6 833
 
3.7%
5 556
 
2.5%
4 386
 
1.7%
3 382
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22304
99.5%
Space Separator 105
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 7357
33.0%
1 4687
21.0%
0 3324
14.9%
7 1906
 
8.5%
2 1727
 
7.7%
8 1146
 
5.1%
6 833
 
3.7%
5 556
 
2.5%
4 386
 
1.7%
3 382
 
1.7%
Space Separator
ValueCountFrequency (%)
105
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22409
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 7357
32.8%
1 4687
20.9%
0 3324
14.8%
7 1906
 
8.5%
2 1727
 
7.7%
8 1146
 
5.1%
6 833
 
3.7%
5 556
 
2.5%
4 386
 
1.7%
3 382
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22409
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 7357
32.8%
1 4687
20.9%
0 3324
14.8%
7 1906
 
8.5%
2 1727
 
7.7%
8 1146
 
5.1%
6 833
 
3.7%
5 556
 
2.5%
4 386
 
1.7%
3 382
 
1.7%

출간년도
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size44.6 KiB
<NA>
2947 
2004
2740 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2004
2nd row2004
3rd row<NA>
4th row2004
5th row2004

Common Values

ValueCountFrequency (%)
<NA> 2947
51.8%
2004 2740
48.2%

Length

2023-12-13T06:30:53.355648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:30:53.460843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2947
51.8%
2004 2740
48.2%

영향
Text

MISSING 

Distinct1838
Distinct (%)67.1%
Missing2947
Missing (%)51.8%
Memory size44.6 KiB
2023-12-13T06:30:53.829893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.8354015
Min length1

Characters and Unicode

Total characters13249
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

Unique1227 ?
Unique (%)44.8%

Sample

1st row3.258
2nd row2.107
3rd row0.408
4th row0.68
5th row4.102
ValueCountFrequency (%)
1 12
 
0.4%
0.5 8
 
0.3%
2 8
 
0.3%
0.667 6
 
0.2%
0.676 6
 
0.2%
0.333 6
 
0.2%
0.733 5
 
0.2%
0.571 5
 
0.2%
2.508 5
 
0.2%
0.625 5
 
0.2%
Other values (1827) 2661
97.6%
2023-12-13T06:30:54.406126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 2702
20.4%
1 1711
12.9%
0 1502
11.3%
2 1209
9.1%
3 1081
8.2%
4 936
 
7.1%
5 889
 
6.7%
6 869
 
6.6%
8 825
 
6.2%
7 787
 
5.9%
Other values (2) 738
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10534
79.5%
Other Punctuation 2702
 
20.4%
Space Separator 13
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1711
16.2%
0 1502
14.3%
2 1209
11.5%
3 1081
10.3%
4 936
8.9%
5 889
8.4%
6 869
8.2%
8 825
7.8%
7 787
7.5%
9 725
6.9%
Other Punctuation
ValueCountFrequency (%)
. 2702
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13249
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 2702
20.4%
1 1711
12.9%
0 1502
11.3%
2 1209
9.1%
3 1081
8.2%
4 936
 
7.1%
5 889
 
6.7%
6 869
 
6.6%
8 825
 
6.2%
7 787
 
5.9%
Other values (2) 738
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13249
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 2702
20.4%
1 1711
12.9%
0 1502
11.3%
2 1209
9.1%
3 1081
8.2%
4 936
 
7.1%
5 889
 
6.7%
6 869
 
6.6%
8 825
 
6.2%
7 787
 
5.9%
Other values (2) 738
 
5.6%

Correlations

2023-12-13T06:30:54.528107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유형
유형1.000

Missing values

2023-12-13T06:30:49.072293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:30:49.235888image/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.

Sample

번호제목출판인저널 번호유형출간년도영향
0473PLANT AND CELL PHYSIOLOGYOXFORD UNIVERSITY PRESS0032-0781195920043.258
1474PROTEIN ENGINEERING, DESIGN AND SELECTIONOXFORD UNIVERSITY PRESS1741-0126198620042.107
2475PUBLIUSOXFORD UNIVERSITY PRESS0048-59502006<NA><NA>
3476QUARTERLY JOURNAL OF MATHEMATICSOXFORD UNIVERSITY PRESS0033-5606193220040.408
4477RADIATION PROTECTION DOSIMETRYOXFORD UNIVERSITY PRESS0144-8420198120040.68
5478REVIEW OF ENGLISH STUDIESOXFORD UNIVERSITY PRESS0034-65511925<NA><NA>
6479RHEUMATOLOGYOXFORD UNIVERSITY PRESS1462-0324197120044.102
7480SOCIAL HISTORY OF MEDICINEOXFORD UNIVERSITY PRESS0951-631X198820040.279
8481SOCIAL SCIENCE JAPAN JOURNALOXFORD UNIVERSITY PRESS1369-14651998<NA><NA>
9482STATUTE LAW REVIEWOXFORD UNIVERSITY PRESS0144-35931980<NA><NA>
번호제목출판인저널 번호유형출간년도영향
56773,504GROUND WATER MONITORING & REMEDIATIONBLACKWELL BUBLISHING1069-3629200520040.507
56783,505HAEMOPHILIABLACKWELL BUBLISHING1351-8216199720042.078
56793,506HEADACHE: THE JOURNAL OF HEAD AND FACE PAINBLACKWELL BUBLISHING0017-8748199620042.307
56803,507HEALTH AND SOCIAL CARE IN THE COMMUNITYBLACKWELL BUBLISHING0966-04101998<NA><NA>
56815,682NATURE BIOTECHNOLOGYNATURE PUBLISHING GROUP1087-01561983200422.355
56825,683NATURE CELL BIOLOGYNATURE PUBLISHING GROUP1465-73921999200420.649
56835,684NATURE GENETICSNATURE PUBLISHING GROUP1061-40361992200424.695
56845,685NATURE IMMUNOLOGYNATURE PUBLISHING GROUP1529-29082000200427.586
56855,686NATURE MEDICINENATURE PUBLISHING GROUP1078-89561995200431.223
56865,687NATURE REVIEWS CANCERNATURE PUBLISHING GROUP1474-175X2001200436.557