Overview

Dataset statistics

Number of variables3
Number of observations151
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory25.9 B

Variable types

Text2
Categorical1

Dataset

DescriptionSample
Author한국인터넷진흥원
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=KIS00000000000000014

Alerts

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

Reproduction

Analysis started2023-12-10 06:45:05.659244
Analysis finished2023-12-10 06:45:05.898997
Duration0.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

해시코드값
Text

UNIQUE 

Distinct151
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-10T15:45:06.190256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length64
Mean length64
Min length64

Characters and Unicode

Total characters9664
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

Unique151 ?
Unique (%)100.0%

Sample

1st row001AC31787A3F2492AACFA3C91DE1DB19C7236D4E09F59D108F7874402991ABC
2nd row004922FE60D7851755564B6B3DA249E3A8DE71319142D6774275AB7F7D59257B
3rd row00C8148D487BDEA84383110C95C0E336F7A8F70B205ED7A59F26314EA8D5A3B4
4th row00E58FAFD2158ED27038B4E8473AA24ECCB2C4B75A01412FE6E419530C7EA412
5th row00F1D2B4B4DA18580A84D13788392236EC4E984459EAA2C537F03EA9EA53807A
ValueCountFrequency (%)
001ac31787a3f2492aacfa3c91de1db19c7236d4e09f59d108f7874402991abc 1
 
0.7%
4885d5839e8a969188d0680fe9468fab59506b94320fc535e6f7bdcdf9b2f249 1
 
0.7%
3f170b864df57b16bfc05594829071938c36abb73735e5dac64cac0edddc89bd 1
 
0.7%
40b070832131dd1d7d580357dd05732f2af1e47f4b03fbb0cf4a49a601fc185d 1
 
0.7%
413a5910ea7d5c938739be36e17babbfbfec8cd04899c20970e247ac0b001dc1 1
 
0.7%
41facd2eae3bbfffa83a11c35b34201ae1eafaaaf1048260972b60d330cf87a7 1
 
0.7%
432317b8f48749e19f27a2355121f93c714ec80064c34558a9a7455ff9519780 1
 
0.7%
436b1a4e8d1e6960e3fd2a0e7d3781f8840a81ebd2dda1e77cfc45f94a3d794b 1
 
0.7%
43b94f186a0b1cb4f80e0a28d95ff53fc061dc7f6d5f03ba7f2bfe643aa03aa5 1
 
0.7%
43bbafa87a22da3310c2017054d49917d1f01d95adea9a486c89b9a7ad3e1002 1
 
0.7%
Other values (141) 141
93.4%
2023-12-10T15:45:06.829424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 666
 
6.9%
4 638
 
6.6%
1 635
 
6.6%
8 621
 
6.4%
9 621
 
6.4%
3 617
 
6.4%
C 608
 
6.3%
E 605
 
6.3%
F 595
 
6.2%
A 594
 
6.1%
Other values (6) 3464
35.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6128
63.4%
Uppercase Letter 3536
36.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 666
10.9%
4 638
10.4%
1 635
10.4%
8 621
10.1%
9 621
10.1%
3 617
10.1%
5 592
9.7%
7 587
9.6%
2 586
9.6%
6 565
9.2%
Uppercase Letter
ValueCountFrequency (%)
C 608
17.2%
E 605
17.1%
F 595
16.8%
A 594
16.8%
D 585
16.5%
B 549
15.5%

Most occurring scripts

ValueCountFrequency (%)
Common 6128
63.4%
Latin 3536
36.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 666
10.9%
4 638
10.4%
1 635
10.4%
8 621
10.1%
9 621
10.1%
3 617
10.1%
5 592
9.7%
7 587
9.6%
2 586
9.6%
6 565
9.2%
Latin
ValueCountFrequency (%)
C 608
17.2%
E 605
17.1%
F 595
16.8%
A 594
16.8%
D 585
16.5%
B 549
15.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9664
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 666
 
6.9%
4 638
 
6.6%
1 635
 
6.6%
8 621
 
6.4%
9 621
 
6.4%
3 617
 
6.4%
C 608
 
6.3%
E 605
 
6.3%
F 595
 
6.2%
A 594
 
6.1%
Other values (6) 3464
35.8%

생성년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2019
151 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019
2nd row2019
3rd row2019
4th row2019
5th row2019

Common Values

ValueCountFrequency (%)
2019 151
100.0%

Length

2023-12-10T15:45:07.044666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:45:07.177729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 151
100.0%

악성코드
Text

UNIQUE 

Distinct151
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-10T15:45:07.503961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length64
Mean length64
Min length64

Characters and Unicode

Total characters9664
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

Unique151 ?
Unique (%)100.0%

Sample

1st row001AC31787A3F2492AACFA3C91DE1DB19C7236D4E09F59D108F7874402991ABC
2nd row004922FE60D7851755564B6B3DA249E3A8DE71319142D6774275AB7F7D59257B
3rd row00C8148D487BDEA84383110C95C0E336F7A8F70B205ED7A59F26314EA8D5A3B4
4th row00E58FAFD2158ED27038B4E8473AA24ECCB2C4B75A01412FE6E419530C7EA412
5th row00F1D2B4B4DA18580A84D13788392236EC4E984459EAA2C537F03EA9EA53807A
ValueCountFrequency (%)
001ac31787a3f2492aacfa3c91de1db19c7236d4e09f59d108f7874402991abc 1
 
0.7%
4885d5839e8a969188d0680fe9468fab59506b94320fc535e6f7bdcdf9b2f249 1
 
0.7%
3f170b864df57b16bfc05594829071938c36abb73735e5dac64cac0edddc89bd 1
 
0.7%
40b070832131dd1d7d580357dd05732f2af1e47f4b03fbb0cf4a49a601fc185d 1
 
0.7%
413a5910ea7d5c938739be36e17babbfbfec8cd04899c20970e247ac0b001dc1 1
 
0.7%
41facd2eae3bbfffa83a11c35b34201ae1eafaaaf1048260972b60d330cf87a7 1
 
0.7%
432317b8f48749e19f27a2355121f93c714ec80064c34558a9a7455ff9519780 1
 
0.7%
436b1a4e8d1e6960e3fd2a0e7d3781f8840a81ebd2dda1e77cfc45f94a3d794b 1
 
0.7%
43b94f186a0b1cb4f80e0a28d95ff53fc061dc7f6d5f03ba7f2bfe643aa03aa5 1
 
0.7%
43bbafa87a22da3310c2017054d49917d1f01d95adea9a486c89b9a7ad3e1002 1
 
0.7%
Other values (141) 141
93.4%
2023-12-10T15:45:08.079317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 666
 
6.9%
4 638
 
6.6%
1 635
 
6.6%
8 621
 
6.4%
9 621
 
6.4%
3 617
 
6.4%
C 608
 
6.3%
E 605
 
6.3%
F 595
 
6.2%
A 594
 
6.1%
Other values (6) 3464
35.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6128
63.4%
Uppercase Letter 3536
36.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 666
10.9%
4 638
10.4%
1 635
10.4%
8 621
10.1%
9 621
10.1%
3 617
10.1%
5 592
9.7%
7 587
9.6%
2 586
9.6%
6 565
9.2%
Uppercase Letter
ValueCountFrequency (%)
C 608
17.2%
E 605
17.1%
F 595
16.8%
A 594
16.8%
D 585
16.5%
B 549
15.5%

Most occurring scripts

ValueCountFrequency (%)
Common 6128
63.4%
Latin 3536
36.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 666
10.9%
4 638
10.4%
1 635
10.4%
8 621
10.1%
9 621
10.1%
3 617
10.1%
5 592
9.7%
7 587
9.6%
2 586
9.6%
6 565
9.2%
Latin
ValueCountFrequency (%)
C 608
17.2%
E 605
17.1%
F 595
16.8%
A 594
16.8%
D 585
16.5%
B 549
15.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9664
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 666
 
6.9%
4 638
 
6.6%
1 635
 
6.6%
8 621
 
6.4%
9 621
 
6.4%
3 617
 
6.4%
C 608
 
6.3%
E 605
 
6.3%
F 595
 
6.2%
A 594
 
6.1%
Other values (6) 3464
35.8%

Missing values

2023-12-10T15:45:05.788119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T15:45:05.867662image/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

해시코드값생성년도악성코드
0001AC31787A3F2492AACFA3C91DE1DB19C7236D4E09F59D108F7874402991ABC2019001AC31787A3F2492AACFA3C91DE1DB19C7236D4E09F59D108F7874402991ABC
1004922FE60D7851755564B6B3DA249E3A8DE71319142D6774275AB7F7D59257B2019004922FE60D7851755564B6B3DA249E3A8DE71319142D6774275AB7F7D59257B
200C8148D487BDEA84383110C95C0E336F7A8F70B205ED7A59F26314EA8D5A3B4201900C8148D487BDEA84383110C95C0E336F7A8F70B205ED7A59F26314EA8D5A3B4
300E58FAFD2158ED27038B4E8473AA24ECCB2C4B75A01412FE6E419530C7EA412201900E58FAFD2158ED27038B4E8473AA24ECCB2C4B75A01412FE6E419530C7EA412
400F1D2B4B4DA18580A84D13788392236EC4E984459EAA2C537F03EA9EA53807A201900F1D2B4B4DA18580A84D13788392236EC4E984459EAA2C537F03EA9EA53807A
50134825EEBBBE40A922460C945DD450FDFA914AFF08398FC1A08FAD6EE59154220190134825EEBBBE40A922460C945DD450FDFA914AFF08398FC1A08FAD6EE591542
60139BAC0586B10D936BDAF6E80E80A46E421A90386F33A1E96BD5C5C01C72CD920190139BAC0586B10D936BDAF6E80E80A46E421A90386F33A1E96BD5C5C01C72CD9
7018A2D094413844CA5ADD2ACEC294D2D1CBBA729DD398D91859347C6E8CC53352019018A2D094413844CA5ADD2ACEC294D2D1CBBA729DD398D91859347C6E8CC5335
802F7CA4820B3E35ABDCD33031710F3F5B4C98B76BFB304A200FA482D952B0209201902F7CA4820B3E35ABDCD33031710F3F5B4C98B76BFB304A200FA482D952B0209
9042B9446981255F7F791F15AECD433A437142B8E35989A579BC11B77816F03B62019042B9446981255F7F791F15AECD433A437142B8E35989A579BC11B77816F03B6
해시코드값생성년도악성코드
1415BC08B02D581093DC32E453E3CE070C200BEAAA58F7CB19841D427D274A9531920195BC08B02D581093DC32E453E3CE070C200BEAAA58F7CB19841D427D274A95319
1425BE58213007CF6299578265A28311BA4364EE7976A734BF58E04D9B305704B2120195BE58213007CF6299578265A28311BA4364EE7976A734BF58E04D9B305704B21
1435CC06B2115F4ADECB5CDB05532B11669E9826FB5E1BF99076918CA0619CD8FD720195CC06B2115F4ADECB5CDB05532B11669E9826FB5E1BF99076918CA0619CD8FD7
1445D59F9B8C3FF66997CCE5706EE69A283491C64C9D6FFD712DAC5878F1C99EBF320195D59F9B8C3FF66997CCE5706EE69A283491C64C9D6FFD712DAC5878F1C99EBF3
1455F334CDF4C868310679457FF034B18AAE12AFB930254FE9FFEFA9F6A399AC3BE20195F334CDF4C868310679457FF034B18AAE12AFB930254FE9FFEFA9F6A399AC3BE
1465F7C46C31DC2BD87ED99950F89AB8AC0FF88B418B456434C5F5895478BB01D5620195F7C46C31DC2BD87ED99950F89AB8AC0FF88B418B456434C5F5895478BB01D56
1475FA3677176CA7FFC042B0B59EC026B44D1CC8EA6CB551E7B92E04FF4EDF416D020195FA3677176CA7FFC042B0B59EC026B44D1CC8EA6CB551E7B92E04FF4EDF416D0
1486020C353102E2A56FEBD68A4993A5C2B22B9C3B32EF623416AB3C82D69961C8420196020C353102E2A56FEBD68A4993A5C2B22B9C3B32EF623416AB3C82D69961C84
149602EA7C711F393530DC9B5EEF09E48C6C8FD2041A911BA2256A2FC26CC4CE05F2019602EA7C711F393530DC9B5EEF09E48C6C8FD2041A911BA2256A2FC26CC4CE05F
150637F6FE10981814A000A586E4A7F66A35339D3A98AC0873889EBB1E9D3D2E7BD2019637F6FE10981814A000A586E4A7F66A35339D3A98AC0873889EBB1E9D3D2E7BD