Overview

Dataset statistics

Number of variables4
Number of observations98
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=KIS0000037

Alerts

2021 has constant value ""Constant
1 has constant value ""Constant
00002324BCF2E076197D68AC936785B7156B1E4DC48E54A4B8FE5F39F8095165 has unique valuesUnique
00002324BCF2E076197D68AC936785B7156B1E4DC48E54A4B8FE5F39F8095165.vir has unique valuesUnique

Reproduction

Analysis started2023-12-10 06:14:29.828170
Analysis finished2023-12-10 06:14:30.266479
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

2021
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size916.0 B
2021
98 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 98
100.0%

Length

2023-12-10T15:14:30.369704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:30.498154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 98
100.0%

00002324BCF2E076197D68AC936785B7156B1E4DC48E54A4B8FE5F39F8095165
Text

UNIQUE 

Distinct98
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size916.0 B
2023-12-10T15:14:30.849139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length64
Mean length64
Min length64

Characters and Unicode

Total characters6272
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

Unique98 ?
Unique (%)100.0%

Sample

1st row00020595748F26750CFF13673AADC9B0EAA3B20610F6747AA30F2D80B931A8D7
2nd row00025F4BB5B8FE03B1D472D7B4BC98BC72CD4277859E8E5F56C23FFFC585CF3C
3rd row00028572438707DC95B3656D0CFC8D072A78A67EAB3C1851DA100AA8F54F4CA8
4th row0006AAA326278D56A22D6FC67E75041F2B471E7A01859C32B433CE3381B62E4D
5th row00085C0DC1DC874215D075B0E062235B7F2323C7619A3634F0A9C38C833878DA
ValueCountFrequency (%)
00020595748f26750cff13673aadc9b0eaa3b20610f6747aa30f2d80b931a8d7 1
 
1.0%
007f5e3a17db40153c3ceb32f56b2c0e08ba972c267738d6faafb04711c30091 1
 
1.0%
0078a170a173b864648fe7a9d486b4996b360c7072e925b3fb2f5781b6e88d31 1
 
1.0%
007765efb8b5e19ad21d6f7f530ef1113b6596a0d088eed1b9285e51a609d245 1
 
1.0%
0076519d8e174f3a63148ea5080e8235b0256414828bec033b3ce654747cb6ad 1
 
1.0%
0074ab880252f0e129152c32727861b65c7db4f8afa68882ce0fbc0d00de3b5b 1
 
1.0%
007406d24df692dc594392a7e29ad77b4bcb82514aee58c3a74f97b05916d82b 1
 
1.0%
0073eba5b9759a83b557de9eb05139051988607e248d4b175cfc6e7bcaf06d1c 1
 
1.0%
00702f8e249471c4f07da560bae630496d0f464f65ca60936400b500c8db910c 1
 
1.0%
007004e83f1c7f655b80574ce37d69fff9ad56819b6996b8a42722e7f967b8a3 1
 
1.0%
Other values (88) 88
89.8%
2023-12-10T15:14:31.529725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 567
 
9.0%
8 404
 
6.4%
5 402
 
6.4%
7 395
 
6.3%
E 390
 
6.2%
2 387
 
6.2%
6 386
 
6.2%
3 386
 
6.2%
1 381
 
6.1%
C 376
 
6.0%
Other values (6) 2198
35.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4040
64.4%
Uppercase Letter 2232
35.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 567
14.0%
8 404
10.0%
5 402
10.0%
7 395
9.8%
2 387
9.6%
6 386
9.6%
3 386
9.6%
1 381
9.4%
4 371
9.2%
9 361
8.9%
Uppercase Letter
ValueCountFrequency (%)
E 390
17.5%
C 376
16.8%
B 376
16.8%
F 372
16.7%
A 366
16.4%
D 352
15.8%

Most occurring scripts

ValueCountFrequency (%)
Common 4040
64.4%
Latin 2232
35.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 567
14.0%
8 404
10.0%
5 402
10.0%
7 395
9.8%
2 387
9.6%
6 386
9.6%
3 386
9.6%
1 381
9.4%
4 371
9.2%
9 361
8.9%
Latin
ValueCountFrequency (%)
E 390
17.5%
C 376
16.8%
B 376
16.8%
F 372
16.7%
A 366
16.4%
D 352
15.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6272
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 567
 
9.0%
8 404
 
6.4%
5 402
 
6.4%
7 395
 
6.3%
E 390
 
6.2%
2 387
 
6.2%
6 386
 
6.2%
3 386
 
6.2%
1 381
 
6.1%
C 376
 
6.0%
Other values (6) 2198
35.0%

00002324BCF2E076197D68AC936785B7156B1E4DC48E54A4B8FE5F39F8095165.vir
Text

UNIQUE 

Distinct98
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size916.0 B
2023-12-10T15:14:32.060770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length68
Mean length68
Min length68

Characters and Unicode

Total characters6664
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

Unique98 ?
Unique (%)100.0%

Sample

1st row00020595748F26750CFF13673AADC9B0EAA3B20610F6747AA30F2D80B931A8D7.vir
2nd row00025F4BB5B8FE03B1D472D7B4BC98BC72CD4277859E8E5F56C23FFFC585CF3C.vir
3rd row00028572438707DC95B3656D0CFC8D072A78A67EAB3C1851DA100AA8F54F4CA8.vir
4th row0006AAA326278D56A22D6FC67E75041F2B471E7A01859C32B433CE3381B62E4D.vir
5th row00085C0DC1DC874215D075B0E062235B7F2323C7619A3634F0A9C38C833878DA.vir
ValueCountFrequency (%)
00020595748f26750cff13673aadc9b0eaa3b20610f6747aa30f2d80b931a8d7.vir 1
 
1.0%
007f5e3a17db40153c3ceb32f56b2c0e08ba972c267738d6faafb04711c30091.vir 1
 
1.0%
0078a170a173b864648fe7a9d486b4996b360c7072e925b3fb2f5781b6e88d31.vir 1
 
1.0%
007765efb8b5e19ad21d6f7f530ef1113b6596a0d088eed1b9285e51a609d245.vir 1
 
1.0%
0076519d8e174f3a63148ea5080e8235b0256414828bec033b3ce654747cb6ad.vir 1
 
1.0%
0074ab880252f0e129152c32727861b65c7db4f8afa68882ce0fbc0d00de3b5b.vir 1
 
1.0%
007406d24df692dc594392a7e29ad77b4bcb82514aee58c3a74f97b05916d82b.vir 1
 
1.0%
0073eba5b9759a83b557de9eb05139051988607e248d4b175cfc6e7bcaf06d1c.vir 1
 
1.0%
00702f8e249471c4f07da560bae630496d0f464f65ca60936400b500c8db910c.vir 1
 
1.0%
007004e83f1c7f655b80574ce37d69fff9ad56819b6996b8a42722e7f967b8a3.vir 1
 
1.0%
Other values (88) 88
89.8%
2023-12-10T15:14:32.727073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 567
 
8.5%
8 404
 
6.1%
5 402
 
6.0%
7 395
 
5.9%
E 390
 
5.9%
2 387
 
5.8%
6 386
 
5.8%
3 386
 
5.8%
1 381
 
5.7%
C 376
 
5.6%
Other values (10) 2590
38.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4040
60.6%
Uppercase Letter 2232
33.5%
Lowercase Letter 294
 
4.4%
Other Punctuation 98
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 567
14.0%
8 404
10.0%
5 402
10.0%
7 395
9.8%
2 387
9.6%
6 386
9.6%
3 386
9.6%
1 381
9.4%
4 371
9.2%
9 361
8.9%
Uppercase Letter
ValueCountFrequency (%)
E 390
17.5%
C 376
16.8%
B 376
16.8%
F 372
16.7%
A 366
16.4%
D 352
15.8%
Lowercase Letter
ValueCountFrequency (%)
v 98
33.3%
i 98
33.3%
r 98
33.3%
Other Punctuation
ValueCountFrequency (%)
. 98
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4138
62.1%
Latin 2526
37.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 567
13.7%
8 404
9.8%
5 402
9.7%
7 395
9.5%
2 387
9.4%
6 386
9.3%
3 386
9.3%
1 381
9.2%
4 371
9.0%
9 361
8.7%
Latin
ValueCountFrequency (%)
E 390
15.4%
C 376
14.9%
B 376
14.9%
F 372
14.7%
A 366
14.5%
D 352
13.9%
v 98
 
3.9%
i 98
 
3.9%
r 98
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6664
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 567
 
8.5%
8 404
 
6.1%
5 402
 
6.0%
7 395
 
5.9%
E 390
 
5.9%
2 387
 
5.8%
6 386
 
5.8%
3 386
 
5.8%
1 381
 
5.7%
C 376
 
5.6%
Other values (10) 2590
38.9%

1
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size916.0 B
1
98 

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 98
100.0%

Length

2023-12-10T15:14:32.967395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:33.169009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 98
100.0%

Correlations

2023-12-10T15:14:33.248048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
00002324BCF2E076197D68AC936785B7156B1E4DC48E54A4B8FE5F39F809516500002324BCF2E076197D68AC936785B7156B1E4DC48E54A4B8FE5F39F8095165.vir
00002324BCF2E076197D68AC936785B7156B1E4DC48E54A4B8FE5F39F80951651.0001.000
00002324BCF2E076197D68AC936785B7156B1E4DC48E54A4B8FE5F39F8095165.vir1.0001.000

Missing values

2023-12-10T15:14:30.085608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T15:14:30.206767image/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

202100002324BCF2E076197D68AC936785B7156B1E4DC48E54A4B8FE5F39F809516500002324BCF2E076197D68AC936785B7156B1E4DC48E54A4B8FE5F39F8095165.vir1
0202100020595748F26750CFF13673AADC9B0EAA3B20610F6747AA30F2D80B931A8D700020595748F26750CFF13673AADC9B0EAA3B20610F6747AA30F2D80B931A8D7.vir1
1202100025F4BB5B8FE03B1D472D7B4BC98BC72CD4277859E8E5F56C23FFFC585CF3C00025F4BB5B8FE03B1D472D7B4BC98BC72CD4277859E8E5F56C23FFFC585CF3C.vir1
2202100028572438707DC95B3656D0CFC8D072A78A67EAB3C1851DA100AA8F54F4CA800028572438707DC95B3656D0CFC8D072A78A67EAB3C1851DA100AA8F54F4CA8.vir1
320210006AAA326278D56A22D6FC67E75041F2B471E7A01859C32B433CE3381B62E4D0006AAA326278D56A22D6FC67E75041F2B471E7A01859C32B433CE3381B62E4D.vir1
4202100085C0DC1DC874215D075B0E062235B7F2323C7619A3634F0A9C38C833878DA00085C0DC1DC874215D075B0E062235B7F2323C7619A3634F0A9C38C833878DA.vir1
520210008D5F7BD37E325ADC02CB328302AE78DBAE495AD743281EFAAF2BEA45C0B950008D5F7BD37E325ADC02CB328302AE78DBAE495AD743281EFAAF2BEA45C0B95.vir1
62021000BEDCAFCD13A8AE46735FC834D4A37FECD10D58DD14CAA00678404A691D6B0000BEDCAFCD13A8AE46735FC834D4A37FECD10D58DD14CAA00678404A691D6B0.vir1
72021000DEC15563C070A43D480964C6A46553B1684D46EC785EAB46DF496DDCF8328000DEC15563C070A43D480964C6A46553B1684D46EC785EAB46DF496DDCF8328.vir1
82021000E100A17D1A2CABAF6E8806168BA4B6D4D2AF71BDCE0CDCAE93C2281648F3A000E100A17D1A2CABAF6E8806168BA4B6D4D2AF71BDCE0CDCAE93C2281648F3A.vir1
92021000FDEBC53811F35891781E30FC141DC113D6B6C150B6A192746698960EDB756000FDEBC53811F35891781E30FC141DC113D6B6C150B6A192746698960EDB756.vir1
202100002324BCF2E076197D68AC936785B7156B1E4DC48E54A4B8FE5F39F809516500002324BCF2E076197D68AC936785B7156B1E4DC48E54A4B8FE5F39F8095165.vir1
88202100A2A0EB7B162062E06FF15FA4D9352282CD0A75C09F9AE514F508C39581771500A2A0EB7B162062E06FF15FA4D9352282CD0A75C09F9AE514F508C395817715.vir1
89202100A2AB5865B0E3336BCB99D214D156149AA04EB34226877AC2C5EC5DB5FB938D00A2AB5865B0E3336BCB99D214D156149AA04EB34226877AC2C5EC5DB5FB938D.vir1
90202100A51E514DCECFE75823D872BCBC1D21139484220B822FA02600B3EC67733BC800A51E514DCECFE75823D872BCBC1D21139484220B822FA02600B3EC67733BC8.vir1
91202100A5A60640330B18E1C44225C9EF81587DDB719B06B4E2356AA110F76D71978C00A5A60640330B18E1C44225C9EF81587DDB719B06B4E2356AA110F76D71978C.vir1
92202100A715B6A12E14D72163B188E7709D7A528EEE5876D9EC258EAFAC179B5FBE5600A715B6A12E14D72163B188E7709D7A528EEE5876D9EC258EAFAC179B5FBE56.vir1
93202100AB99EF91E1C2B1971FE45EC7481D7555171BE054CAD99B5220099208E7E4CF00AB99EF91E1C2B1971FE45EC7481D7555171BE054CAD99B5220099208E7E4CF.vir1
94202100AD97FD44E2C939065E4C70B409A42978B1255A7EDD421334CF9F1B0BFA25FD00AD97FD44E2C939065E4C70B409A42978B1255A7EDD421334CF9F1B0BFA25FD.vir1
95202100AEF004FCA766F74CE00C5D78884C60A8444C8B1DFC50403EE37963FF5EF41F00AEF004FCA766F74CE00C5D78884C60A8444C8B1DFC50403EE37963FF5EF41F.vir1
96202100B195F70FEB6329398B5DC7143597C6AD607F98621F52235FD947A03514305000B195F70FEB6329398B5DC7143597C6AD607F98621F52235FD947A035143050.vir1
97202100B3CDA292257F82BA88FDEBFC3C934FE298FD15F8FDDFCCC4B68F1094996A5800B3CDA292257F82BA88FDEBFC3C934FE298FD15F8FDDFCCC4B68F1094996A58.vir1