Overview

Dataset statistics

Number of variables3
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory26.3 B

Variable types

Text2
Categorical1

Dataset

DescriptionSample
Author한국인터넷진흥원
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=KIS00000000000000012

Alerts

생성년도 has constant value ""Constant
해쉬값 has unique valuesUnique
악성코드 has unique valuesUnique

Reproduction

Analysis started2023-12-10 06:31:14.401553
Analysis finished2023-12-10 06:31:14.857855
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

해쉬값
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T15:31:15.201422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length64
Mean length64
Min length64

Characters and Unicode

Total characters6400
Distinct characters16
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st rowEEBE0991EABCE55C8BD73C933DCA59EF5D6935A527328BCB56789AA1BFBEF6F1
2nd rowEEBE2648DD5D7820255B34DB67CE34E2160D54BA236A050C85E77C12635B1F6E
3rd rowEEBE41BB43C1D14B791E304C5D1079F448A9D9C722F9D10176077EA47231FCAA
4th rowEEBE4D8499AF67DD3F43683D70A6BB7D9D1D63396DCE9212558A0FE6DDF35772
5th rowEEBE51D7FA42A7DC461FD56ACE6A1A5AD8677D861E8C0BB9F46F00DD25B7B5B3
ValueCountFrequency (%)
eebe0991eabce55c8bd73c933dca59ef5d6935a527328bcb56789aa1bfbef6f1 1
 
1.0%
eec217f2e8911b3104ac0f2ae4f3099e36fe15381d8f0ef1a8bb30a0cec89c3b 1
 
1.0%
eec26cd92f19dc67dd4236181fd31895bedd281a2dcff4aac0f0d5522fab5da0 1
 
1.0%
eec26c87514ddb84893d3b6d18f420ba685fd1b3546f8f399213c75712d8fddb 1
 
1.0%
eec25f4a920357abe436e6e5111dabef343cadd00a41d27d6b5be9c66cee5a8d 1
 
1.0%
eec2567f428ffbe9e306c447ec3554f44022c5ecdef9488485ca2264cf1aa055 1
 
1.0%
eec25006a3f6ce564b0ab97ffa51d5f50a9a1520a234ad024379acca4a30e29d 1
 
1.0%
eec24c3b9c1d0e5af2228125567b4fd0ff61fef4548e6dcdc634f6067b8a0da9 1
 
1.0%
eec2465f3f3a1ca52073a921d501de12082b1fdb7c9fefbc245f2d53a5125369 1
 
1.0%
eec2424a4cd731bed968ba27da1c270a5d79bb0546e5b577a129ff45b30f4466 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T15:31:15.902398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
E 565
 
8.8%
C 433
 
6.8%
2 407
 
6.4%
6 406
 
6.3%
4 404
 
6.3%
A 402
 
6.3%
5 401
 
6.3%
B 400
 
6.2%
D 399
 
6.2%
1 387
 
6.0%
Other values (6) 2196
34.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3837
60.0%
Uppercase Letter 2563
40.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 407
10.6%
6 406
10.6%
4 404
10.5%
5 401
10.5%
1 387
10.1%
0 382
10.0%
3 382
10.0%
7 371
9.7%
8 364
9.5%
9 333
8.7%
Uppercase Letter
ValueCountFrequency (%)
E 565
22.0%
C 433
16.9%
A 402
15.7%
B 400
15.6%
D 399
15.6%
F 364
14.2%

Most occurring scripts

ValueCountFrequency (%)
Common 3837
60.0%
Latin 2563
40.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 407
10.6%
6 406
10.6%
4 404
10.5%
5 401
10.5%
1 387
10.1%
0 382
10.0%
3 382
10.0%
7 371
9.7%
8 364
9.5%
9 333
8.7%
Latin
ValueCountFrequency (%)
E 565
22.0%
C 433
16.9%
A 402
15.7%
B 400
15.6%
D 399
15.6%
F 364
14.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6400
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 565
 
8.8%
C 433
 
6.8%
2 407
 
6.4%
6 406
 
6.3%
4 404
 
6.3%
A 402
 
6.3%
5 401
 
6.3%
B 400
 
6.2%
D 399
 
6.2%
1 387
 
6.0%
Other values (6) 2196
34.3%

생성년도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2020
100 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2020
5th row2020

Common Values

ValueCountFrequency (%)
2020 100
100.0%

Length

2023-12-10T15:31:16.141895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:31:16.666513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 100
100.0%

악성코드
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T15:31:17.074692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length68
Mean length68
Min length68

Characters and Unicode

Total characters6800
Distinct characters20
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

Unique100 ?
Unique (%)100.0%

Sample

1st rowEEBE0991EABCE55C8BD73C933DCA59EF5D6935A527328BCB56789AA1BFBEF6F1.vir
2nd rowEEBE2648DD5D7820255B34DB67CE34E2160D54BA236A050C85E77C12635B1F6E.vir
3rd rowEEBE41BB43C1D14B791E304C5D1079F448A9D9C722F9D10176077EA47231FCAA.vir
4th rowEEBE4D8499AF67DD3F43683D70A6BB7D9D1D63396DCE9212558A0FE6DDF35772.vir
5th rowEEBE51D7FA42A7DC461FD56ACE6A1A5AD8677D861E8C0BB9F46F00DD25B7B5B3.vir
ValueCountFrequency (%)
eebe0991eabce55c8bd73c933dca59ef5d6935a527328bcb56789aa1bfbef6f1.vir 1
 
1.0%
eec217f2e8911b3104ac0f2ae4f3099e36fe15381d8f0ef1a8bb30a0cec89c3b.vir 1
 
1.0%
eec26cd92f19dc67dd4236181fd31895bedd281a2dcff4aac0f0d5522fab5da0.vir 1
 
1.0%
eec26c87514ddb84893d3b6d18f420ba685fd1b3546f8f399213c75712d8fddb.vir 1
 
1.0%
eec25f4a920357abe436e6e5111dabef343cadd00a41d27d6b5be9c66cee5a8d.vir 1
 
1.0%
eec2567f428ffbe9e306c447ec3554f44022c5ecdef9488485ca2264cf1aa055.vir 1
 
1.0%
eec25006a3f6ce564b0ab97ffa51d5f50a9a1520a234ad024379acca4a30e29d.vir 1
 
1.0%
eec24c3b9c1d0e5af2228125567b4fd0ff61fef4548e6dcdc634f6067b8a0da9.vir 1
 
1.0%
eec2465f3f3a1ca52073a921d501de12082b1fdb7c9fefbc245f2d53a5125369.vir 1
 
1.0%
eec2424a4cd731bed968ba27da1c270a5d79bb0546e5b577a129ff45b30f4466.vir 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T15:31:17.749060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
E 565
 
8.3%
C 433
 
6.4%
2 407
 
6.0%
6 406
 
6.0%
4 404
 
5.9%
A 402
 
5.9%
5 401
 
5.9%
B 400
 
5.9%
D 399
 
5.9%
1 387
 
5.7%
Other values (10) 2596
38.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3837
56.4%
Uppercase Letter 2563
37.7%
Lowercase Letter 300
 
4.4%
Other Punctuation 100
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 407
10.6%
6 406
10.6%
4 404
10.5%
5 401
10.5%
1 387
10.1%
3 382
10.0%
0 382
10.0%
7 371
9.7%
8 364
9.5%
9 333
8.7%
Uppercase Letter
ValueCountFrequency (%)
E 565
22.0%
C 433
16.9%
A 402
15.7%
B 400
15.6%
D 399
15.6%
F 364
14.2%
Lowercase Letter
ValueCountFrequency (%)
v 100
33.3%
i 100
33.3%
r 100
33.3%
Other Punctuation
ValueCountFrequency (%)
. 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3937
57.9%
Latin 2863
42.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 407
10.3%
6 406
10.3%
4 404
10.3%
5 401
10.2%
1 387
9.8%
3 382
9.7%
0 382
9.7%
7 371
9.4%
8 364
9.2%
9 333
8.5%
Latin
ValueCountFrequency (%)
E 565
19.7%
C 433
15.1%
A 402
14.0%
B 400
14.0%
D 399
13.9%
F 364
12.7%
v 100
 
3.5%
i 100
 
3.5%
r 100
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 565
 
8.3%
C 433
 
6.4%
2 407
 
6.0%
6 406
 
6.0%
4 404
 
5.9%
A 402
 
5.9%
5 401
 
5.9%
B 400
 
5.9%
D 399
 
5.9%
1 387
 
5.7%
Other values (10) 2596
38.2%

Correlations

2023-12-10T15:31:17.901850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
해쉬값악성코드
해쉬값1.0001.000
악성코드1.0001.000

Missing values

2023-12-10T15:31:14.680853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T15:31:14.809764image/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

해쉬값생성년도악성코드
0EEBE0991EABCE55C8BD73C933DCA59EF5D6935A527328BCB56789AA1BFBEF6F12020EEBE0991EABCE55C8BD73C933DCA59EF5D6935A527328BCB56789AA1BFBEF6F1.vir
1EEBE2648DD5D7820255B34DB67CE34E2160D54BA236A050C85E77C12635B1F6E2020EEBE2648DD5D7820255B34DB67CE34E2160D54BA236A050C85E77C12635B1F6E.vir
2EEBE41BB43C1D14B791E304C5D1079F448A9D9C722F9D10176077EA47231FCAA2020EEBE41BB43C1D14B791E304C5D1079F448A9D9C722F9D10176077EA47231FCAA.vir
3EEBE4D8499AF67DD3F43683D70A6BB7D9D1D63396DCE9212558A0FE6DDF357722020EEBE4D8499AF67DD3F43683D70A6BB7D9D1D63396DCE9212558A0FE6DDF35772.vir
4EEBE51D7FA42A7DC461FD56ACE6A1A5AD8677D861E8C0BB9F46F00DD25B7B5B32020EEBE51D7FA42A7DC461FD56ACE6A1A5AD8677D861E8C0BB9F46F00DD25B7B5B3.vir
5EEBE53806A78BFB280EE6AC9B3E341CDE432C112AC819A34DCA6A4771E40DD072020EEBE53806A78BFB280EE6AC9B3E341CDE432C112AC819A34DCA6A4771E40DD07.vir
6EEBE568021F20B97F469AC781D2F13E9524B91C23A2FE7E499A1C565749B68A32020EEBE568021F20B97F469AC781D2F13E9524B91C23A2FE7E499A1C565749B68A3.vir
7EEBE5B1DCB2E0DACB5E1EFC113A65D39B2FA7E3FD4734C6F848A5E31565D86B42020EEBE5B1DCB2E0DACB5E1EFC113A65D39B2FA7E3FD4734C6F848A5E31565D86B4.vir
8EEBE5E2A1AB7291D383ECFAF5562529D90AD18A26E3D61C0375ADC2B67CDA44D2020EEBE5E2A1AB7291D383ECFAF5562529D90AD18A26E3D61C0375ADC2B67CDA44D.vir
9EEBE61E7C38F46551351D1ACCA22BE86823D176D8F314C6E4BE83F063B4DD9262020EEBE61E7C38F46551351D1ACCA22BE86823D176D8F314C6E4BE83F063B4DD926.vir
해쉬값생성년도악성코드
90EEC315AEF6A7EBB68AC68C3C3A7297798F4616EAAB00776E315CAFEF39CD6CFE2020EEC315AEF6A7EBB68AC68C3C3A7297798F4616EAAB00776E315CAFEF39CD6CFE.vir
91EEC31EDD48EB58BAC02DA0628CCB2F1AA05506E60B5FE2B1BE191C11EE8541C52020EEC31EDD48EB58BAC02DA0628CCB2F1AA05506E60B5FE2B1BE191C11EE8541C5.vir
92EEC327F6ED9CD11E32AC276B5DEE3479B8874D45B9C110BF24A221E84A857A612020EEC327F6ED9CD11E32AC276B5DEE3479B8874D45B9C110BF24A221E84A857A61.vir
93EEC33E550F259A15D571B0168002EF1D34235BCD04DFBB25FA4CC47DA83423E12020EEC33E550F259A15D571B0168002EF1D34235BCD04DFBB25FA4CC47DA83423E1.vir
94EEC3577F07C46277153C7C294121CCD3759A618126223200ED3AD884032F08462020EEC3577F07C46277153C7C294121CCD3759A618126223200ED3AD884032F0846.vir
95EEC360D62007233C94DC765856B9C9E90E79CD16A678C94867A4494155267B0E2020EEC360D62007233C94DC765856B9C9E90E79CD16A678C94867A4494155267B0E.vir
96EEC36113A58F8ECB06D06A4D13D7BFA739323F989510F4B62F38DE4B009CD4372020EEC36113A58F8ECB06D06A4D13D7BFA739323F989510F4B62F38DE4B009CD437.vir
97EEC37A94BEBA7D254CFCB3B1A6F4F996757C6B779680EA3EF6D9AF46D2A1096C2020EEC37A94BEBA7D254CFCB3B1A6F4F996757C6B779680EA3EF6D9AF46D2A1096C.vir
98EEC37EC9A08A086DDDD1F754A11FA6B6CBF60FE71655597947673C744CA5DC142020EEC37EC9A08A086DDDD1F754A11FA6B6CBF60FE71655597947673C744CA5DC14.vir
99EEC38D639D39D48D855E9821316F3BBB82DFAF0EEC679542B076402F2B1405EF2020EEC38D639D39D48D855E9821316F3BBB82DFAF0EEC679542B076402F2B1405EF.vir