Overview

Dataset statistics

Number of variables4
Number of observations99
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory35.3 B

Variable types

Categorical2
Text2

Dataset

DescriptionSample
Author한국인터넷진흥원
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=KIS0000029

Alerts

2020 has constant value ""Constant
1 has constant value ""Constant
588C56C13DE0A23891076550E7F8356A64EF2BD374A6EDD12F5DABB6366779A2 has unique valuesUnique
588C56C13DE0A23891076550E7F8356A64EF2BD374A6EDD12F5DABB6366779A2.vir has unique valuesUnique

Reproduction

Analysis started2023-12-10 06:30:35.806740
Analysis finished2023-12-10 06:30:36.463263
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

2020
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2020
99 

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 99
100.0%

Length

2023-12-10T15:30:36.579793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:30:36.730335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 99
100.0%

588C56C13DE0A23891076550E7F8356A64EF2BD374A6EDD12F5DABB6366779A2
Text

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2023-12-10T15:30:37.129965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length64
Mean length64
Min length64

Characters and Unicode

Total characters6336
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

Unique99 ?
Unique (%)100.0%

Sample

1st row588CA7D058EBB35959BAD5421567091466C694C229C1C1FF93CD6753EAE7ACCB
2nd row588CC17CDC67CA2EBC2F446D243E7A33557673FF19C92EE9B7B4BE29FE56E4C4
3rd row588CDFA40D3420D6DD0585BFF449EB52DFF7B310E7C88B3659BD536ED3E862A7
4th row588E11C58AC274A29E25F8A48D2727AE73607D55895E816AC442DA8F94E14EDE
5th row588EF359DC75A42A2F3168CF3F66953E0EC1DB49FC9F0201975D1024BBE9849D
ValueCountFrequency (%)
588ca7d058ebb35959bad5421567091466c694c229c1c1ff93cd6753eae7accb 1
 
1.0%
58a5960fcfc92a964d1ac80d71ed10f8f6f93a13eb14c6ea07a98a10d43f240b 1
 
1.0%
58b7552e0db18d0eaf30ec5dbe71b76fab6b04e0966b867c1d359bcfbb9c5a3a 1
 
1.0%
58b6aa112a7f571737bffe68d2d21319d5b805a5ed432c85a0fac38b0464f789 1
 
1.0%
58b48b64c293a956ce301500578c3dc0936796b86979866ea8bc0d2044d22d61 1
 
1.0%
58b4586e67e90611b295c869c51121472dbc14ab68570191b0f0c969e13b4176 1
 
1.0%
58b314b5453c79aa05a05fa35dc083118b816a1de77a82167f181959b5b4a2ae 1
 
1.0%
58b24d074378f63abe8c2570ec73445f6f31b5507122bbc90941de214f3057af 1
 
1.0%
58b1e9c35b3439e19c577c5ad6619512ab52bf71f6494f0eec592a5ce8a9bd6e 1
 
1.0%
58b0f7172b846105d0b606a1a5a9a373ef1cc7a7b5162086b5d19d53bde4cb57 1
 
1.0%
Other values (89) 89
89.9%
2023-12-10T15:30:37.854748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 473
 
7.5%
8 437
 
6.9%
1 431
 
6.8%
9 425
 
6.7%
C 410
 
6.5%
7 406
 
6.4%
B 406
 
6.4%
3 397
 
6.3%
D 385
 
6.1%
2 383
 
6.0%
Other values (6) 2183
34.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4049
63.9%
Uppercase Letter 2287
36.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 473
11.7%
8 437
10.8%
1 431
10.6%
9 425
10.5%
7 406
10.0%
3 397
9.8%
2 383
9.5%
4 378
9.3%
0 377
9.3%
6 342
8.4%
Uppercase Letter
ValueCountFrequency (%)
C 410
17.9%
B 406
17.8%
D 385
16.8%
A 378
16.5%
E 361
15.8%
F 347
15.2%

Most occurring scripts

ValueCountFrequency (%)
Common 4049
63.9%
Latin 2287
36.1%

Most frequent character per script

Common
ValueCountFrequency (%)
5 473
11.7%
8 437
10.8%
1 431
10.6%
9 425
10.5%
7 406
10.0%
3 397
9.8%
2 383
9.5%
4 378
9.3%
0 377
9.3%
6 342
8.4%
Latin
ValueCountFrequency (%)
C 410
17.9%
B 406
17.8%
D 385
16.8%
A 378
16.5%
E 361
15.8%
F 347
15.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6336
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 473
 
7.5%
8 437
 
6.9%
1 431
 
6.8%
9 425
 
6.7%
C 410
 
6.5%
7 406
 
6.4%
B 406
 
6.4%
3 397
 
6.3%
D 385
 
6.1%
2 383
 
6.0%
Other values (6) 2183
34.5%

588C56C13DE0A23891076550E7F8356A64EF2BD374A6EDD12F5DABB6366779A2.vir
Text

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2023-12-10T15:30:38.358199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length68
Mean length68
Min length68

Characters and Unicode

Total characters6732
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

Unique99 ?
Unique (%)100.0%

Sample

1st row588CA7D058EBB35959BAD5421567091466C694C229C1C1FF93CD6753EAE7ACCB.vir
2nd row588CC17CDC67CA2EBC2F446D243E7A33557673FF19C92EE9B7B4BE29FE56E4C4.vir
3rd row588CDFA40D3420D6DD0585BFF449EB52DFF7B310E7C88B3659BD536ED3E862A7.vir
4th row588E11C58AC274A29E25F8A48D2727AE73607D55895E816AC442DA8F94E14EDE.vir
5th row588EF359DC75A42A2F3168CF3F66953E0EC1DB49FC9F0201975D1024BBE9849D.vir
ValueCountFrequency (%)
588ca7d058ebb35959bad5421567091466c694c229c1c1ff93cd6753eae7accb.vir 1
 
1.0%
58a5960fcfc92a964d1ac80d71ed10f8f6f93a13eb14c6ea07a98a10d43f240b.vir 1
 
1.0%
58b7552e0db18d0eaf30ec5dbe71b76fab6b04e0966b867c1d359bcfbb9c5a3a.vir 1
 
1.0%
58b6aa112a7f571737bffe68d2d21319d5b805a5ed432c85a0fac38b0464f789.vir 1
 
1.0%
58b48b64c293a956ce301500578c3dc0936796b86979866ea8bc0d2044d22d61.vir 1
 
1.0%
58b4586e67e90611b295c869c51121472dbc14ab68570191b0f0c969e13b4176.vir 1
 
1.0%
58b314b5453c79aa05a05fa35dc083118b816a1de77a82167f181959b5b4a2ae.vir 1
 
1.0%
58b24d074378f63abe8c2570ec73445f6f31b5507122bbc90941de214f3057af.vir 1
 
1.0%
58b1e9c35b3439e19c577c5ad6619512ab52bf71f6494f0eec592a5ce8a9bd6e.vir 1
 
1.0%
58b0f7172b846105d0b606a1a5a9a373ef1cc7a7b5162086b5d19d53bde4cb57.vir 1
 
1.0%
Other values (89) 89
89.9%
2023-12-10T15:30:39.035910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 473
 
7.0%
8 437
 
6.5%
1 431
 
6.4%
9 425
 
6.3%
C 410
 
6.1%
7 406
 
6.0%
B 406
 
6.0%
3 397
 
5.9%
D 385
 
5.7%
2 383
 
5.7%
Other values (10) 2579
38.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4049
60.1%
Uppercase Letter 2287
34.0%
Lowercase Letter 297
 
4.4%
Other Punctuation 99
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 473
11.7%
8 437
10.8%
1 431
10.6%
9 425
10.5%
7 406
10.0%
3 397
9.8%
2 383
9.5%
4 378
9.3%
0 377
9.3%
6 342
8.4%
Uppercase Letter
ValueCountFrequency (%)
C 410
17.9%
B 406
17.8%
D 385
16.8%
A 378
16.5%
E 361
15.8%
F 347
15.2%
Lowercase Letter
ValueCountFrequency (%)
v 99
33.3%
i 99
33.3%
r 99
33.3%
Other Punctuation
ValueCountFrequency (%)
. 99
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4148
61.6%
Latin 2584
38.4%

Most frequent character per script

Common
ValueCountFrequency (%)
5 473
11.4%
8 437
10.5%
1 431
10.4%
9 425
10.2%
7 406
9.8%
3 397
9.6%
2 383
9.2%
4 378
9.1%
0 377
9.1%
6 342
8.2%
Latin
ValueCountFrequency (%)
C 410
15.9%
B 406
15.7%
D 385
14.9%
A 378
14.6%
E 361
14.0%
F 347
13.4%
v 99
 
3.8%
i 99
 
3.8%
r 99
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6732
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 473
 
7.0%
8 437
 
6.5%
1 431
 
6.4%
9 425
 
6.3%
C 410
 
6.1%
7 406
 
6.0%
B 406
 
6.0%
3 397
 
5.9%
D 385
 
5.7%
2 383
 
5.7%
Other values (10) 2579
38.3%

1
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
1
99 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 99
100.0%

Length

2023-12-10T15:30:39.277206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:30:39.429063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 99
100.0%

Correlations

2023-12-10T15:30:39.513358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
588C56C13DE0A23891076550E7F8356A64EF2BD374A6EDD12F5DABB6366779A2588C56C13DE0A23891076550E7F8356A64EF2BD374A6EDD12F5DABB6366779A2.vir
588C56C13DE0A23891076550E7F8356A64EF2BD374A6EDD12F5DABB6366779A21.0001.000
588C56C13DE0A23891076550E7F8356A64EF2BD374A6EDD12F5DABB6366779A2.vir1.0001.000

Missing values

2023-12-10T15:30:36.190438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T15:30:36.395404image/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

2020588C56C13DE0A23891076550E7F8356A64EF2BD374A6EDD12F5DABB6366779A2588C56C13DE0A23891076550E7F8356A64EF2BD374A6EDD12F5DABB6366779A2.vir1
02020588CA7D058EBB35959BAD5421567091466C694C229C1C1FF93CD6753EAE7ACCB588CA7D058EBB35959BAD5421567091466C694C229C1C1FF93CD6753EAE7ACCB.vir1
12020588CC17CDC67CA2EBC2F446D243E7A33557673FF19C92EE9B7B4BE29FE56E4C4588CC17CDC67CA2EBC2F446D243E7A33557673FF19C92EE9B7B4BE29FE56E4C4.vir1
22020588CDFA40D3420D6DD0585BFF449EB52DFF7B310E7C88B3659BD536ED3E862A7588CDFA40D3420D6DD0585BFF449EB52DFF7B310E7C88B3659BD536ED3E862A7.vir1
32020588E11C58AC274A29E25F8A48D2727AE73607D55895E816AC442DA8F94E14EDE588E11C58AC274A29E25F8A48D2727AE73607D55895E816AC442DA8F94E14EDE.vir1
42020588EF359DC75A42A2F3168CF3F66953E0EC1DB49FC9F0201975D1024BBE9849D588EF359DC75A42A2F3168CF3F66953E0EC1DB49FC9F0201975D1024BBE9849D.vir1
5202058901A3C835429A19F4E990E9D774F7AB5953B0FB8D3693AD75481BBD3124D4558901A3C835429A19F4E990E9D774F7AB5953B0FB8D3693AD75481BBD3124D45.vir1
62020589053B5F5BC2CC95AD5958AEE75CA351C6C7DDB973DFB1A762836FF22661499589053B5F5BC2CC95AD5958AEE75CA351C6C7DDB973DFB1A762836FF22661499.vir1
720205890ACF61EF9C8CE7EA182D4107F20F6A5F6E6EDF8E0F10397E5741D5FB6FFEB5890ACF61EF9C8CE7EA182D4107F20F6A5F6E6EDF8E0F10397E5741D5FB6FFEB.vir1
820205890C00DEB7A4C38199EBFD377F94389F5F14E9175C7CC22B34C621B02F0565F5890C00DEB7A4C38199EBFD377F94389F5F14E9175C7CC22B34C621B02F0565F.vir1
920205891AFD4D44DE26AEE8B0DBFA285EF63B4A95235DA93604771F157D21F284E865891AFD4D44DE26AEE8B0DBFA285EF63B4A95235DA93604771F157D21F284E86.vir1
2020588C56C13DE0A23891076550E7F8356A64EF2BD374A6EDD12F5DABB6366779A2588C56C13DE0A23891076550E7F8356A64EF2BD374A6EDD12F5DABB6366779A2.vir1
89202058BF4F7B8332F9938B2B00F3FDB147FADDC3B93327B2BEDCDD0E0EC35FDE840F58BF4F7B8332F9938B2B00F3FDB147FADDC3B93327B2BEDCDD0E0EC35FDE840F.vir1
90202058BFB9FA8889550D13F42473956DC2A7EC4F3ABB18FD3FAEAA38089D513C171F58BFB9FA8889550D13F42473956DC2A7EC4F3ABB18FD3FAEAA38089D513C171F.vir1
91202058BFE90835244084DA613D29309143F2E7BCB4B3809BC4194715BD82C02EF9B058BFE90835244084DA613D29309143F2E7BCB4B3809BC4194715BD82C02EF9B0.vir1
92202058C06FCB63197F8A8523B416DC67729D174F229643B72CC39E2BDD706B68D78958C06FCB63197F8A8523B416DC67729D174F229643B72CC39E2BDD706B68D789.vir1
93202058C09664BE53FE6DF1F9974DB5E82FB131C70A116A2C849F8978222705CD127D58C09664BE53FE6DF1F9974DB5E82FB131C70A116A2C849F8978222705CD127D.vir1
94202058C147A5D978727EBAAB4BE5AF91EA0ACC36291AFF64CADCA9B20F3A9339A98A58C147A5D978727EBAAB4BE5AF91EA0ACC36291AFF64CADCA9B20F3A9339A98A.vir1
95202058C19A02F1F33AB7B1FCCB8AE01A30EF9F9D35FD035A2F47E2EF8FE0414CDC5C58C19A02F1F33AB7B1FCCB8AE01A30EF9F9D35FD035A2F47E2EF8FE0414CDC5C.vir1
96202058C1DA4EB5F997AB0364264A29D09611DA141F852793DFBA6E5A6E1C25998FF258C1DA4EB5F997AB0364264A29D09611DA141F852793DFBA6E5A6E1C25998FF2.vir1
97202058C235D10FA764161DD7D826D6F7EBC98C784252381604FD17E20E1453ACD80758C235D10FA764161DD7D826D6F7EBC98C784252381604FD17E20E1453ACD807.vir1
98202058C24AE9C0ABA079F731971EFB01E2CEB75B77373C90D0E5C155DA743692DB5458C24AE9C0ABA079F731971EFB01E2CEB75B77373C90D0E5C155DA743692DB54.vir1