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=KIS0000035

Alerts

2021 has constant value ""Constant
1 has constant value ""Constant
01000F707E1982F6335DC6A0A0C1A7645F521D11932C3498A9565957224CC86D has unique valuesUnique
01000F707E1982F6335DC6A0A0C1A7645F521D11932C3498A9565957224CC86D.vir has unique valuesUnique

Reproduction

Analysis started2023-12-10 06:20:23.820060
Analysis finished2023-12-10 06:20:25.421761
Duration1.6 second
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

2023-12-10T15:20:25.565071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:20:25.738699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 98
100.0%

01000F707E1982F6335DC6A0A0C1A7645F521D11932C3498A9565957224CC86D
Text

UNIQUE 

Distinct98
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size916.0 B
2023-12-10T15:20:26.144971image/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 row01001874ECC60F4C606E01BDF6F04FFB3A274B0F202481EF6DEA19D746094152
2nd row01003D31B3CD575172B699A6F3A521FD6144A656543F19BB209EA89E92BB4B41
3rd row010120EA7F6381E9C326CF028C9F9AB3D18591E80DDD4E6CA975AF61D8E12EBB
4th row01014D93BA3933639AC63673390356ADD7E08F0D9D40C369F15F0F4B7A4ED86A
5th row0101B817CAB881925B58B9235C74B25059618F4B0D4A7ACA91AA91C311088018
ValueCountFrequency (%)
01001874ecc60f4c606e01bdf6f04ffb3a274b0f202481ef6dea19d746094152 1
 
1.0%
011e4e76024068190e23e07a2d5555af724a312f4da0d84355eabfd5f019a9d9 1
 
1.0%
011d0acb5adb95c78d8440b90a0f9e2a33903c2101a3dfa170b17c9a2bbbb3ff 1
 
1.0%
011c734436e16714e58c30eeeb3716127bc3d28ad7ad0e60ec5632162aec2b26 1
 
1.0%
011c619d80a8d05c8fb1b9f3f6596fa92d29ce7a38b9815e893d91a56e155cd6 1
 
1.0%
011bc50d9d15071ab0671d0a9151b3bb187b36af54d991f6ee826c77eebb2bff 1
 
1.0%
011b8a61de9ebd6e10571bd3962a8dedeaf59f8662772a63e8da0dc4df5ed3a9 1
 
1.0%
011b2b019d5ad01023c7cbe932b3102382c25a4c5ade33b1b19ed25e81e4ac97 1
 
1.0%
011a1fd3ec178c17bcdd12441b51a8415e7c1def02dec62aef4e6cc167e929f0 1
 
1.0%
01186c7e0fa317f111fb0f1f95b1bade1266707f929dad9857353c412ed83975 1
 
1.0%
Other values (88) 88
89.8%
2023-12-10T15:20:26.819324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 530
 
8.5%
0 518
 
8.3%
B 398
 
6.3%
4 390
 
6.2%
5 390
 
6.2%
8 386
 
6.2%
2 379
 
6.0%
7 378
 
6.0%
A 378
 
6.0%
3 374
 
6.0%
Other values (6) 2151
34.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4061
64.7%
Uppercase Letter 2211
35.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 530
13.1%
0 518
12.8%
4 390
9.6%
5 390
9.6%
8 386
9.5%
2 379
9.3%
7 378
9.3%
3 374
9.2%
6 365
9.0%
9 351
8.6%
Uppercase Letter
ValueCountFrequency (%)
B 398
18.0%
A 378
17.1%
C 370
16.7%
F 363
16.4%
D 352
15.9%
E 350
15.8%

Most occurring scripts

ValueCountFrequency (%)
Common 4061
64.7%
Latin 2211
35.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 530
13.1%
0 518
12.8%
4 390
9.6%
5 390
9.6%
8 386
9.5%
2 379
9.3%
7 378
9.3%
3 374
9.2%
6 365
9.0%
9 351
8.6%
Latin
ValueCountFrequency (%)
B 398
18.0%
A 378
17.1%
C 370
16.7%
F 363
16.4%
D 352
15.9%
E 350
15.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6272
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 530
 
8.5%
0 518
 
8.3%
B 398
 
6.3%
4 390
 
6.2%
5 390
 
6.2%
8 386
 
6.2%
2 379
 
6.0%
7 378
 
6.0%
A 378
 
6.0%
3 374
 
6.0%
Other values (6) 2151
34.3%

01000F707E1982F6335DC6A0A0C1A7645F521D11932C3498A9565957224CC86D.vir
Text

UNIQUE 

Distinct98
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size916.0 B
2023-12-10T15:20:27.322157image/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 row01001874ECC60F4C606E01BDF6F04FFB3A274B0F202481EF6DEA19D746094152.vir
2nd row01003D31B3CD575172B699A6F3A521FD6144A656543F19BB209EA89E92BB4B41.vir
3rd row010120EA7F6381E9C326CF028C9F9AB3D18591E80DDD4E6CA975AF61D8E12EBB.vir
4th row01014D93BA3933639AC63673390356ADD7E08F0D9D40C369F15F0F4B7A4ED86A.vir
5th row0101B817CAB881925B58B9235C74B25059618F4B0D4A7ACA91AA91C311088018.vir
ValueCountFrequency (%)
01001874ecc60f4c606e01bdf6f04ffb3a274b0f202481ef6dea19d746094152.vir 1
 
1.0%
011e4e76024068190e23e07a2d5555af724a312f4da0d84355eabfd5f019a9d9.vir 1
 
1.0%
011d0acb5adb95c78d8440b90a0f9e2a33903c2101a3dfa170b17c9a2bbbb3ff.vir 1
 
1.0%
011c734436e16714e58c30eeeb3716127bc3d28ad7ad0e60ec5632162aec2b26.vir 1
 
1.0%
011c619d80a8d05c8fb1b9f3f6596fa92d29ce7a38b9815e893d91a56e155cd6.vir 1
 
1.0%
011bc50d9d15071ab0671d0a9151b3bb187b36af54d991f6ee826c77eebb2bff.vir 1
 
1.0%
011b8a61de9ebd6e10571bd3962a8dedeaf59f8662772a63e8da0dc4df5ed3a9.vir 1
 
1.0%
011b2b019d5ad01023c7cbe932b3102382c25a4c5ade33b1b19ed25e81e4ac97.vir 1
 
1.0%
011a1fd3ec178c17bcdd12441b51a8415e7c1def02dec62aef4e6cc167e929f0.vir 1
 
1.0%
01186c7e0fa317f111fb0f1f95b1bade1266707f929dad9857353c412ed83975.vir 1
 
1.0%
Other values (88) 88
89.8%
2023-12-10T15:20:28.230015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 530
 
8.0%
0 518
 
7.8%
B 398
 
6.0%
4 390
 
5.9%
5 390
 
5.9%
8 386
 
5.8%
2 379
 
5.7%
7 378
 
5.7%
A 378
 
5.7%
3 374
 
5.6%
Other values (10) 2543
38.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4061
60.9%
Uppercase Letter 2211
33.2%
Lowercase Letter 294
 
4.4%
Other Punctuation 98
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 530
13.1%
0 518
12.8%
4 390
9.6%
5 390
9.6%
8 386
9.5%
2 379
9.3%
7 378
9.3%
3 374
9.2%
6 365
9.0%
9 351
8.6%
Uppercase Letter
ValueCountFrequency (%)
B 398
18.0%
A 378
17.1%
C 370
16.7%
F 363
16.4%
D 352
15.9%
E 350
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 4159
62.4%
Latin 2505
37.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 530
12.7%
0 518
12.5%
4 390
9.4%
5 390
9.4%
8 386
9.3%
2 379
9.1%
7 378
9.1%
3 374
9.0%
6 365
8.8%
9 351
8.4%
Latin
ValueCountFrequency (%)
B 398
15.9%
A 378
15.1%
C 370
14.8%
F 363
14.5%
D 352
14.1%
E 350
14.0%
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 (%)
1 530
 
8.0%
0 518
 
7.8%
B 398
 
6.0%
4 390
 
5.9%
5 390
 
5.9%
8 386
 
5.8%
2 379
 
5.7%
7 378
 
5.7%
A 378
 
5.7%
3 374
 
5.6%
Other values (10) 2543
38.2%

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

2023-12-10T15:20:28.502549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:20:28.794063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 98
100.0%

Correlations

2023-12-10T15:20:28.931138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
01000F707E1982F6335DC6A0A0C1A7645F521D11932C3498A9565957224CC86D01000F707E1982F6335DC6A0A0C1A7645F521D11932C3498A9565957224CC86D.vir
01000F707E1982F6335DC6A0A0C1A7645F521D11932C3498A9565957224CC86D1.0001.000
01000F707E1982F6335DC6A0A0C1A7645F521D11932C3498A9565957224CC86D.vir1.0001.000

Missing values

2023-12-10T15:20:25.112933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T15:20:25.320425image/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

202101000F707E1982F6335DC6A0A0C1A7645F521D11932C3498A9565957224CC86D01000F707E1982F6335DC6A0A0C1A7645F521D11932C3498A9565957224CC86D.vir1
0202101001874ECC60F4C606E01BDF6F04FFB3A274B0F202481EF6DEA19D74609415201001874ECC60F4C606E01BDF6F04FFB3A274B0F202481EF6DEA19D746094152.vir1
1202101003D31B3CD575172B699A6F3A521FD6144A656543F19BB209EA89E92BB4B4101003D31B3CD575172B699A6F3A521FD6144A656543F19BB209EA89E92BB4B41.vir1
22021010120EA7F6381E9C326CF028C9F9AB3D18591E80DDD4E6CA975AF61D8E12EBB010120EA7F6381E9C326CF028C9F9AB3D18591E80DDD4E6CA975AF61D8E12EBB.vir1
3202101014D93BA3933639AC63673390356ADD7E08F0D9D40C369F15F0F4B7A4ED86A01014D93BA3933639AC63673390356ADD7E08F0D9D40C369F15F0F4B7A4ED86A.vir1
420210101B817CAB881925B58B9235C74B25059618F4B0D4A7ACA91AA91C3110880180101B817CAB881925B58B9235C74B25059618F4B0D4A7ACA91AA91C311088018.vir1
520210101CCE980A9D327118A5B2284F02A8BF7A03630FBF2FD006AEC681BECC4C32D0101CCE980A9D327118A5B2284F02A8BF7A03630FBF2FD006AEC681BECC4C32D.vir1
620210101CCEAD574BF046A65B5EBAAA511DB68AB41257FCD223DD0EC9CBDC1C55F820101CCEAD574BF046A65B5EBAAA511DB68AB41257FCD223DD0EC9CBDC1C55F82.vir1
7202101020DA41632A882FBEC8E0FE7979A877C1A6C7B071A2B0EDCBC34BDA6BF37B401020DA41632A882FBEC8E0FE7979A877C1A6C7B071A2B0EDCBC34BDA6BF37B4.vir1
820210102117AD72BFC968B2763FDBD28BAB851732A145D2E8829BACA4ACE29AB37AE0102117AD72BFC968B2763FDBD28BAB851732A145D2E8829BACA4ACE29AB37AE.vir1
92021010213C3D208CC5D578CC32B1D19AEFEE651A23CB79366B22EF68E2EAE3DC159010213C3D208CC5D578CC32B1D19AEFEE651A23CB79366B22EF68E2EAE3DC159.vir1
202101000F707E1982F6335DC6A0A0C1A7645F521D11932C3498A9565957224CC86D01000F707E1982F6335DC6A0A0C1A7645F521D11932C3498A9565957224CC86D.vir1
882021012534F5EFFFDDD5F9FF35672515190294BC480D1D23A665F5BF49A325142CC1012534F5EFFFDDD5F9FF35672515190294BC480D1D23A665F5BF49A325142CC1.vir1
892021012578AF0BD2DA451CD336FC6CB1BDDD48EC2269F65181CBB4F7FB91B95C12A7012578AF0BD2DA451CD336FC6CB1BDDD48EC2269F65181CBB4F7FB91B95C12A7.vir1
9020210125B0562285054D9C8C405B4F508A9D2FC8CEC2FCD6BE3CDB8C20DAD693A09E0125B0562285054D9C8C405B4F508A9D2FC8CEC2FCD6BE3CDB8C20DAD693A09E.vir1
9120210125DD8EC4C41F8A59E49B18989E523098B8F438CBD6C01A14766B3C879B0FD00125DD8EC4C41F8A59E49B18989E523098B8F438CBD6C01A14766B3C879B0FD0.vir1
92202101265815F19F75BF2BC76C3274BD8AD9948F19B647BC069C503FE09F204139EB01265815F19F75BF2BC76C3274BD8AD9948F19B647BC069C503FE09F204139EB.vir1
932021012665292681F65574B9669AC15377F98B83D78AA1608950E8FA19C7ADB9880B012665292681F65574B9669AC15377F98B83D78AA1608950E8FA19C7ADB9880B.vir1
94202101266A86949A7BDB439B489A671545AF362AD02613F19A037F92D1CA404343EB01266A86949A7BDB439B489A671545AF362AD02613F19A037F92D1CA404343EB.vir1
95202101273C6475E80F83053CAB56F7E5DFDCAE56BA6E6D57A13A27A953E9B1E684F401273C6475E80F83053CAB56F7E5DFDCAE56BA6E6D57A13A27A953E9B1E684F4.vir1
96202101275F4590BF0E40C6FE4D4C1571E1182607C431FE217E464D5AEC1B07EF47F901275F4590BF0E40C6FE4D4C1571E1182607C431FE217E464D5AEC1B07EF47F9.vir1
97202101282AF72583F8AC72C3F561C9D41526F48D58183C371268C5557A800BB5C98B01282AF72583F8AC72C3F561C9D41526F48D58183C371268C5557A800BB5C98B.vir1