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=KIS0000034

Alerts

2021 has constant value ""Constant
1 has constant value ""Constant
000100BCDDDBA417FCF096F45AB8A6CDAFC4269B86146477ABFD469C22A4B868 has unique valuesUnique
000100BCDDDBA417FCF096F45AB8A6CDAFC4269B86146477ABFD469C22A4B868.vir has unique valuesUnique

Reproduction

Analysis started2023-12-10 06:28:58.329659
Analysis finished2023-12-10 06:28:58.846854
Duration0.52 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

2023-12-10T15:28:58.985749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:28:59.185132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 98
100.0%

000100BCDDDBA417FCF096F45AB8A6CDAFC4269B86146477ABFD469C22A4B868
Text

UNIQUE 

Distinct98
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size916.0 B
2023-12-10T15:28:59.662244image/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 row000177842490EC77359FDE2C0BF179D2E61098F399C4DB5BA3EDCAB5A5564E58
2nd row0002DBE367E7512E2B3D334C02E251CD12CF2F969E6C9F6968D247C0A8BF0617
3rd row00032EA2C9D9C14A3A23795F8A3C4E9AE696441D734D5E9E80D20EB66B77FE46
4th row0004CBF234ED4B7D11E9890D5BBEE43FEB6AA2D5A3E5DB6468312A7FB9930124
5th row0005AF45D6644120BEE8C892C331E218F7D3FBBA17C361BFE8A206B429A9F356
ValueCountFrequency (%)
000177842490ec77359fde2c0bf179d2e61098f399c4db5ba3edcab5a5564e58 1
 
1.0%
005dcbae001ee38b1b0b6ef1f68b9ad98fe5d40e37c0b862aa8afa09f3126962 1
 
1.0%
00549bd8e4bd6d6fea895fe204b4b7e7ba8e930d942edeffef8c6594cbd2c2c5 1
 
1.0%
005383921eae20afa5d74a418a1df2d9204044172429f88916ba6cae53c4e32f 1
 
1.0%
005306a28195a80e629cfb16c5d76a65e95e6de5629414371c42e065d613b3e5 1
 
1.0%
004fb3ad7d6778ec207df9db0e391f3a31fdf2fcd1bdeab3d361b2344f07a335 1
 
1.0%
004e9e3584ec312360bcfab2a9e38d564ed231d0083ff2b20bc122555e00ee42 1
 
1.0%
004e5bd6ed593c0f18ee7706cc77681f904a3565300144703e3bb800492ad310 1
 
1.0%
004dbc417b44e85a5da6c33e1130935528f5d5216e6035b508b52d6e928c1321 1
 
1.0%
004c1102c5e7a51b8ea483846a9a034dc9103ae1ae548aef94ca54bfc8f8df75 1
 
1.0%
Other values (88) 88
89.8%
2023-12-10T15:29:00.379402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 587
 
9.4%
E 413
 
6.6%
4 400
 
6.4%
3 398
 
6.3%
F 397
 
6.3%
8 394
 
6.3%
9 388
 
6.2%
D 379
 
6.0%
A 379
 
6.0%
2 377
 
6.0%
Other values (6) 2160
34.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3994
63.7%
Uppercase Letter 2278
36.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 587
14.7%
4 400
10.0%
3 398
10.0%
8 394
9.9%
9 388
9.7%
2 377
9.4%
1 370
9.3%
5 366
9.2%
6 362
9.1%
7 352
8.8%
Uppercase Letter
ValueCountFrequency (%)
E 413
18.1%
F 397
17.4%
D 379
16.6%
A 379
16.6%
C 356
15.6%
B 354
15.5%

Most occurring scripts

ValueCountFrequency (%)
Common 3994
63.7%
Latin 2278
36.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 587
14.7%
4 400
10.0%
3 398
10.0%
8 394
9.9%
9 388
9.7%
2 377
9.4%
1 370
9.3%
5 366
9.2%
6 362
9.1%
7 352
8.8%
Latin
ValueCountFrequency (%)
E 413
18.1%
F 397
17.4%
D 379
16.6%
A 379
16.6%
C 356
15.6%
B 354
15.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6272
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 587
 
9.4%
E 413
 
6.6%
4 400
 
6.4%
3 398
 
6.3%
F 397
 
6.3%
8 394
 
6.3%
9 388
 
6.2%
D 379
 
6.0%
A 379
 
6.0%
2 377
 
6.0%
Other values (6) 2160
34.4%

000100BCDDDBA417FCF096F45AB8A6CDAFC4269B86146477ABFD469C22A4B868.vir
Text

UNIQUE 

Distinct98
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size916.0 B
2023-12-10T15:29:00.851570image/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 row000177842490EC77359FDE2C0BF179D2E61098F399C4DB5BA3EDCAB5A5564E58.vir
2nd row0002DBE367E7512E2B3D334C02E251CD12CF2F969E6C9F6968D247C0A8BF0617.vir
3rd row00032EA2C9D9C14A3A23795F8A3C4E9AE696441D734D5E9E80D20EB66B77FE46.vir
4th row0004CBF234ED4B7D11E9890D5BBEE43FEB6AA2D5A3E5DB6468312A7FB9930124.vir
5th row0005AF45D6644120BEE8C892C331E218F7D3FBBA17C361BFE8A206B429A9F356.vir
ValueCountFrequency (%)
000177842490ec77359fde2c0bf179d2e61098f399c4db5ba3edcab5a5564e58.vir 1
 
1.0%
005dcbae001ee38b1b0b6ef1f68b9ad98fe5d40e37c0b862aa8afa09f3126962.vir 1
 
1.0%
00549bd8e4bd6d6fea895fe204b4b7e7ba8e930d942edeffef8c6594cbd2c2c5.vir 1
 
1.0%
005383921eae20afa5d74a418a1df2d9204044172429f88916ba6cae53c4e32f.vir 1
 
1.0%
005306a28195a80e629cfb16c5d76a65e95e6de5629414371c42e065d613b3e5.vir 1
 
1.0%
004fb3ad7d6778ec207df9db0e391f3a31fdf2fcd1bdeab3d361b2344f07a335.vir 1
 
1.0%
004e9e3584ec312360bcfab2a9e38d564ed231d0083ff2b20bc122555e00ee42.vir 1
 
1.0%
004e5bd6ed593c0f18ee7706cc77681f904a3565300144703e3bb800492ad310.vir 1
 
1.0%
004dbc417b44e85a5da6c33e1130935528f5d5216e6035b508b52d6e928c1321.vir 1
 
1.0%
004c1102c5e7a51b8ea483846a9a034dc9103ae1ae548aef94ca54bfc8f8df75.vir 1
 
1.0%
Other values (88) 88
89.8%
2023-12-10T15:29:01.618879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 587
 
8.8%
E 413
 
6.2%
4 400
 
6.0%
3 398
 
6.0%
F 397
 
6.0%
8 394
 
5.9%
9 388
 
5.8%
A 379
 
5.7%
D 379
 
5.7%
2 377
 
5.7%
Other values (10) 2552
38.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3994
59.9%
Uppercase Letter 2278
34.2%
Lowercase Letter 294
 
4.4%
Other Punctuation 98
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 587
14.7%
4 400
10.0%
3 398
10.0%
8 394
9.9%
9 388
9.7%
2 377
9.4%
1 370
9.3%
5 366
9.2%
6 362
9.1%
7 352
8.8%
Uppercase Letter
ValueCountFrequency (%)
E 413
18.1%
F 397
17.4%
A 379
16.6%
D 379
16.6%
C 356
15.6%
B 354
15.5%
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 4092
61.4%
Latin 2572
38.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 587
14.3%
4 400
9.8%
3 398
9.7%
8 394
9.6%
9 388
9.5%
2 377
9.2%
1 370
9.0%
5 366
8.9%
6 362
8.8%
7 352
8.6%
Latin
ValueCountFrequency (%)
E 413
16.1%
F 397
15.4%
A 379
14.7%
D 379
14.7%
C 356
13.8%
B 354
13.8%
v 98
 
3.8%
i 98
 
3.8%
r 98
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6664
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 587
 
8.8%
E 413
 
6.2%
4 400
 
6.0%
3 398
 
6.0%
F 397
 
6.0%
8 394
 
5.9%
9 388
 
5.8%
A 379
 
5.7%
D 379
 
5.7%
2 377
 
5.7%
Other values (10) 2552
38.3%

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

2023-12-10T15:29:01.866819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:29:02.004021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 98
100.0%

Correlations

2023-12-10T15:29:02.079255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
000100BCDDDBA417FCF096F45AB8A6CDAFC4269B86146477ABFD469C22A4B868000100BCDDDBA417FCF096F45AB8A6CDAFC4269B86146477ABFD469C22A4B868.vir
000100BCDDDBA417FCF096F45AB8A6CDAFC4269B86146477ABFD469C22A4B8681.0001.000
000100BCDDDBA417FCF096F45AB8A6CDAFC4269B86146477ABFD469C22A4B868.vir1.0001.000

Missing values

2023-12-10T15:28:58.627275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T15:28:58.787495image/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

2021000100BCDDDBA417FCF096F45AB8A6CDAFC4269B86146477ABFD469C22A4B868000100BCDDDBA417FCF096F45AB8A6CDAFC4269B86146477ABFD469C22A4B868.vir1
02021000177842490EC77359FDE2C0BF179D2E61098F399C4DB5BA3EDCAB5A5564E58000177842490EC77359FDE2C0BF179D2E61098F399C4DB5BA3EDCAB5A5564E58.vir1
120210002DBE367E7512E2B3D334C02E251CD12CF2F969E6C9F6968D247C0A8BF06170002DBE367E7512E2B3D334C02E251CD12CF2F969E6C9F6968D247C0A8BF0617.vir1
2202100032EA2C9D9C14A3A23795F8A3C4E9AE696441D734D5E9E80D20EB66B77FE4600032EA2C9D9C14A3A23795F8A3C4E9AE696441D734D5E9E80D20EB66B77FE46.vir1
320210004CBF234ED4B7D11E9890D5BBEE43FEB6AA2D5A3E5DB6468312A7FB99301240004CBF234ED4B7D11E9890D5BBEE43FEB6AA2D5A3E5DB6468312A7FB9930124.vir1
420210005AF45D6644120BEE8C892C331E218F7D3FBBA17C361BFE8A206B429A9F3560005AF45D6644120BEE8C892C331E218F7D3FBBA17C361BFE8A206B429A9F356.vir1
52021000892E186ED73ACEF61D60F5269189465443A049FE3220ADB7A11DE038F4BC8000892E186ED73ACEF61D60F5269189465443A049FE3220ADB7A11DE038F4BC8.vir1
620210009E7F8BE446043131C5028B04D6E7AFBF6A5C836F06CBA6B839BAD6E769FDC0009E7F8BE446043131C5028B04D6E7AFBF6A5C836F06CBA6B839BAD6E769FDC.vir1
72021000BAEDB998CCC35A1B6E483578BD07D9DEF387189D83DA5C8F9A01DEF4246E6000BAEDB998CCC35A1B6E483578BD07D9DEF387189D83DA5C8F9A01DEF4246E6.vir1
82021000CCA9FF46775BC2C67934EF69226429301EAEE7F1C0FA4FCF25D73B7949BAC000CCA9FF46775BC2C67934EF69226429301EAEE7F1C0FA4FCF25D73B7949BAC.vir1
9202100118D1520930322ECF6A435133087830B2FD90BF787DE81628016D5772DB3F700118D1520930322ECF6A435133087830B2FD90BF787DE81628016D5772DB3F7.vir1
2021000100BCDDDBA417FCF096F45AB8A6CDAFC4269B86146477ABFD469C22A4B868000100BCDDDBA417FCF096F45AB8A6CDAFC4269B86146477ABFD469C22A4B868.vir1
882021006F38F9E8BB81066C92FFF17CDF205E7C5DC6138A479343637D68FE935E47EC006F38F9E8BB81066C92FFF17CDF205E7C5DC6138A479343637D68FE935E47EC.vir1
8920210073F0A0F7A9982AD3BBACFE5EE7F855A384FD2FBC573E5A2FCDB754BDF9B0300073F0A0F7A9982AD3BBACFE5EE7F855A384FD2FBC573E5A2FCDB754BDF9B030.vir1
9020210075664FF41F9B7DD020259448DA894AB14F2096CAE2006C5FB97E6B118D69DB0075664FF41F9B7DD020259448DA894AB14F2096CAE2006C5FB97E6B118D69DB.vir1
9120210078614C9A0A834A693A5C881C21224E3D8346D2A2E5451482037D28DCBD4B590078614C9A0A834A693A5C881C21224E3D8346D2A2E5451482037D28DCBD4B59.vir1
9220210079A040271DEFA34BCC36BE0E5910D3BA5BC3EC991C7F9DFE967F24F38207220079A040271DEFA34BCC36BE0E5910D3BA5BC3EC991C7F9DFE967F24F3820722.vir1
932021007B0E0CC3E8A16AEEABB3474890E7A7759669EA7D7D185166DE22F28FC7E3B9007B0E0CC3E8A16AEEABB3474890E7A7759669EA7D7D185166DE22F28FC7E3B9.vir1
942021007C9D71AF51AF1618A72D052BBFCA8A49B91E1D5B029FB778189515E34038D0007C9D71AF51AF1618A72D052BBFCA8A49B91E1D5B029FB778189515E34038D0.vir1
952021007FA9F19804F4B530A64567C07DCC6DE11ADD07CBF0C5D73202C3997AFCBF4B007FA9F19804F4B530A64567C07DCC6DE11ADD07CBF0C5D73202C3997AFCBF4B.vir1
962021007FF0AF766482135790EE3C05656E7F6C60C125979AD6A38DF3836B8F72C833007FF0AF766482135790EE3C05656E7F6C60C125979AD6A38DF3836B8F72C833.vir1
97202100805877CCDD6DA8314678E38122D13D91846E50C8221705CF137D7B9F8D37DD00805877CCDD6DA8314678E38122D13D91846E50C8221705CF137D7B9F8D37DD.vir1