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=KIS0000036

Alerts

2021 has constant value ""Constant
1 has constant value ""Constant
A68F1130ABBB1A2A2D309F6A514642F1C9528E255B6DF9D0F8EE3BFFF859A101 has unique valuesUnique
A68F1130ABBB1A2A2D309F6A514642F1C9528E255B6DF9D0F8EE3BFFF859A101.vir has unique valuesUnique

Reproduction

Analysis started2023-12-10 06:41:34.804382
Analysis finished2023-12-10 06:41:35.333400
Duration0.53 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

2023-12-10T15:41:35.434050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:41:35.586940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 98
100.0%

A68F1130ABBB1A2A2D309F6A514642F1C9528E255B6DF9D0F8EE3BFFF859A101
Text

UNIQUE 

Distinct98
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size916.0 B
2023-12-10T15:41:35.938345image/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 rowA68F469C86016EFC3CFA2A1C4DEF5D415CB9769258D014CEFE130DEE4D712528
2nd rowA690D3BA8862135C9941FF65964CB2D44B23F1301C243DF533F7999A0E8A39BC
3rd rowA6926FA8ADD1D046E129C9AB17A163CBE3071F3205748EA0A24814E30928895C
4th rowA693083A721E8D719D5ECFA8CD07F5EC67E59F99891E22D86E5AEDDC600309AD
5th rowA693A428B92AE9D0E35A48038187444D52B6E5F51C568E6D7FF1B1FA97867612
ValueCountFrequency (%)
a68f469c86016efc3cfa2a1c4def5d415cb9769258d014cefe130dee4d712528 1
 
1.0%
a6f001c0dbbcbd4b60f3e7f60f222affc4a0869c94e656e5f0443153f6f8ceac 1
 
1.0%
a6ebde233d1788b6624c5ee4f4cc3a1e56f6808363988ddd73e9153950427ce6 1
 
1.0%
a6ea400e0cd8684e21dcbb5ca55fdb3bd7faaba39f66b4f53d18166a11acf77e 1
 
1.0%
a6e927105fb704028ae57a77114806999116b510d7e95b75c0574b258979c72f 1
 
1.0%
a6e845141be11f2e8a445bd169a3d2abfa4b3aac5c34e25b91525aaa2499e273 1
 
1.0%
a6e57f123ccb66c3285990affb8d305b0cd008ef17fb2800136240c46ae4f191 1
 
1.0%
a6e40e132ba43ad2c6467d6d46a600261c263f163190799046051c71df052fb4 1
 
1.0%
a6e32b603b55e936d416ca035ec94bb38daee4d5c81928e4e0a415c82601e6c3 1
 
1.0%
a6e31f661dcf2b06bec7f07010893dce49b96356c7334734836ee8785e0ab131 1
 
1.0%
Other values (88) 88
89.8%
2023-12-10T15:41:36.539910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 481
 
7.7%
6 462
 
7.4%
9 416
 
6.6%
B 404
 
6.4%
F 399
 
6.4%
4 396
 
6.3%
7 393
 
6.3%
E 381
 
6.1%
1 375
 
6.0%
5 374
 
6.0%
Other values (6) 2191
34.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3874
61.8%
Uppercase Letter 2398
38.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 462
11.9%
9 416
10.7%
4 396
10.2%
7 393
10.1%
1 375
9.7%
5 374
9.7%
0 372
9.6%
2 372
9.6%
3 363
9.4%
8 351
9.1%
Uppercase Letter
ValueCountFrequency (%)
A 481
20.1%
B 404
16.8%
F 399
16.6%
E 381
15.9%
D 367
15.3%
C 366
15.3%

Most occurring scripts

ValueCountFrequency (%)
Common 3874
61.8%
Latin 2398
38.2%

Most frequent character per script

Common
ValueCountFrequency (%)
6 462
11.9%
9 416
10.7%
4 396
10.2%
7 393
10.1%
1 375
9.7%
5 374
9.7%
0 372
9.6%
2 372
9.6%
3 363
9.4%
8 351
9.1%
Latin
ValueCountFrequency (%)
A 481
20.1%
B 404
16.8%
F 399
16.6%
E 381
15.9%
D 367
15.3%
C 366
15.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6272
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 481
 
7.7%
6 462
 
7.4%
9 416
 
6.6%
B 404
 
6.4%
F 399
 
6.4%
4 396
 
6.3%
7 393
 
6.3%
E 381
 
6.1%
1 375
 
6.0%
5 374
 
6.0%
Other values (6) 2191
34.9%

A68F1130ABBB1A2A2D309F6A514642F1C9528E255B6DF9D0F8EE3BFFF859A101.vir
Text

UNIQUE 

Distinct98
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size916.0 B
2023-12-10T15:41:36.975813image/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 rowA68F469C86016EFC3CFA2A1C4DEF5D415CB9769258D014CEFE130DEE4D712528.vir
2nd rowA690D3BA8862135C9941FF65964CB2D44B23F1301C243DF533F7999A0E8A39BC.vir
3rd rowA6926FA8ADD1D046E129C9AB17A163CBE3071F3205748EA0A24814E30928895C.vir
4th rowA693083A721E8D719D5ECFA8CD07F5EC67E59F99891E22D86E5AEDDC600309AD.vir
5th rowA693A428B92AE9D0E35A48038187444D52B6E5F51C568E6D7FF1B1FA97867612.vir
ValueCountFrequency (%)
a68f469c86016efc3cfa2a1c4def5d415cb9769258d014cefe130dee4d712528.vir 1
 
1.0%
a6f001c0dbbcbd4b60f3e7f60f222affc4a0869c94e656e5f0443153f6f8ceac.vir 1
 
1.0%
a6ebde233d1788b6624c5ee4f4cc3a1e56f6808363988ddd73e9153950427ce6.vir 1
 
1.0%
a6ea400e0cd8684e21dcbb5ca55fdb3bd7faaba39f66b4f53d18166a11acf77e.vir 1
 
1.0%
a6e927105fb704028ae57a77114806999116b510d7e95b75c0574b258979c72f.vir 1
 
1.0%
a6e845141be11f2e8a445bd169a3d2abfa4b3aac5c34e25b91525aaa2499e273.vir 1
 
1.0%
a6e57f123ccb66c3285990affb8d305b0cd008ef17fb2800136240c46ae4f191.vir 1
 
1.0%
a6e40e132ba43ad2c6467d6d46a600261c263f163190799046051c71df052fb4.vir 1
 
1.0%
a6e32b603b55e936d416ca035ec94bb38daee4d5c81928e4e0a415c82601e6c3.vir 1
 
1.0%
a6e31f661dcf2b06bec7f07010893dce49b96356c7334734836ee8785e0ab131.vir 1
 
1.0%
Other values (88) 88
89.8%
2023-12-10T15:41:37.546443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 481
 
7.2%
6 462
 
6.9%
9 416
 
6.2%
B 404
 
6.1%
F 399
 
6.0%
4 396
 
5.9%
7 393
 
5.9%
E 381
 
5.7%
1 375
 
5.6%
5 374
 
5.6%
Other values (10) 2583
38.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3874
58.1%
Uppercase Letter 2398
36.0%
Lowercase Letter 294
 
4.4%
Other Punctuation 98
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 462
11.9%
9 416
10.7%
4 396
10.2%
7 393
10.1%
1 375
9.7%
5 374
9.7%
0 372
9.6%
2 372
9.6%
3 363
9.4%
8 351
9.1%
Uppercase Letter
ValueCountFrequency (%)
A 481
20.1%
B 404
16.8%
F 399
16.6%
E 381
15.9%
D 367
15.3%
C 366
15.3%
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 3972
59.6%
Latin 2692
40.4%

Most frequent character per script

Common
ValueCountFrequency (%)
6 462
11.6%
9 416
10.5%
4 396
10.0%
7 393
9.9%
1 375
9.4%
5 374
9.4%
0 372
9.4%
2 372
9.4%
3 363
9.1%
8 351
8.8%
Latin
ValueCountFrequency (%)
A 481
17.9%
B 404
15.0%
F 399
14.8%
E 381
14.2%
D 367
13.6%
C 366
13.6%
v 98
 
3.6%
i 98
 
3.6%
r 98
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6664
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 481
 
7.2%
6 462
 
6.9%
9 416
 
6.2%
B 404
 
6.1%
F 399
 
6.0%
4 396
 
5.9%
7 393
 
5.9%
E 381
 
5.7%
1 375
 
5.6%
5 374
 
5.6%
Other values (10) 2583
38.8%

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

2023-12-10T15:41:37.769570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:41:37.889621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 98
100.0%

Correlations

2023-12-10T15:41:37.987164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A68F1130ABBB1A2A2D309F6A514642F1C9528E255B6DF9D0F8EE3BFFF859A101A68F1130ABBB1A2A2D309F6A514642F1C9528E255B6DF9D0F8EE3BFFF859A101.vir
A68F1130ABBB1A2A2D309F6A514642F1C9528E255B6DF9D0F8EE3BFFF859A1011.0001.000
A68F1130ABBB1A2A2D309F6A514642F1C9528E255B6DF9D0F8EE3BFFF859A101.vir1.0001.000

Missing values

2023-12-10T15:41:35.121510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T15:41:35.276847image/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

2021A68F1130ABBB1A2A2D309F6A514642F1C9528E255B6DF9D0F8EE3BFFF859A101A68F1130ABBB1A2A2D309F6A514642F1C9528E255B6DF9D0F8EE3BFFF859A101.vir1
02021A68F469C86016EFC3CFA2A1C4DEF5D415CB9769258D014CEFE130DEE4D712528A68F469C86016EFC3CFA2A1C4DEF5D415CB9769258D014CEFE130DEE4D712528.vir1
12021A690D3BA8862135C9941FF65964CB2D44B23F1301C243DF533F7999A0E8A39BCA690D3BA8862135C9941FF65964CB2D44B23F1301C243DF533F7999A0E8A39BC.vir1
22021A6926FA8ADD1D046E129C9AB17A163CBE3071F3205748EA0A24814E30928895CA6926FA8ADD1D046E129C9AB17A163CBE3071F3205748EA0A24814E30928895C.vir1
32021A693083A721E8D719D5ECFA8CD07F5EC67E59F99891E22D86E5AEDDC600309ADA693083A721E8D719D5ECFA8CD07F5EC67E59F99891E22D86E5AEDDC600309AD.vir1
42021A693A428B92AE9D0E35A48038187444D52B6E5F51C568E6D7FF1B1FA97867612A693A428B92AE9D0E35A48038187444D52B6E5F51C568E6D7FF1B1FA97867612.vir1
52021A694C4860D046EE4A2D0899CBF50330D7BF49E45F541659E7D94E28796366090A694C4860D046EE4A2D0899CBF50330D7BF49E45F541659E7D94E28796366090.vir1
62021A697D97BB2B640B66D684E42D160A50B589B595688E813387FA4073678081DD3A697D97BB2B640B66D684E42D160A50B589B595688E813387FA4073678081DD3.vir1
72021A69A38237148E281AD36375874ED6B8C4244C88FBCA36896F6AB8CFF417EACA4A69A38237148E281AD36375874ED6B8C4244C88FBCA36896F6AB8CFF417EACA4.vir1
82021A69B34F025FB076BC56AAADA012F47397DC9229EB12F585C107C5D62199080AEA69B34F025FB076BC56AAADA012F47397DC9229EB12F585C107C5D62199080AE.vir1
92021A69B486A520BED9277590CD0B42E1251A88E8A964D432D1609224FD8425A8183A69B486A520BED9277590CD0B42E1251A88E8A964D432D1609224FD8425A8183.vir1
2021A68F1130ABBB1A2A2D309F6A514642F1C9528E255B6DF9D0F8EE3BFFF859A101A68F1130ABBB1A2A2D309F6A514642F1C9528E255B6DF9D0F8EE3BFFF859A101.vir1
882021A70037EE4F68F97E77DAA39B4A608F84E1270B0D2BC968676ABBE50403BF39C5A70037EE4F68F97E77DAA39B4A608F84E1270B0D2BC968676ABBE50403BF39C5.vir1
892021A704C74173215BC60F20889C941D4C754C5F2FC1A03C8B6F213135EEB126F2C7A704C74173215BC60F20889C941D4C754C5F2FC1A03C8B6F213135EEB126F2C7.vir1
902021A70A098D6B644FC5C21CAB4D362B05C525E9CF68185ABDDC87F9CEB9AFCCD031A70A098D6B644FC5C21CAB4D362B05C525E9CF68185ABDDC87F9CEB9AFCCD031.vir1
912021A70A83BC965D9F65E5353DE3773A93B746C01CCEB18A53068CBB536E5605D7D5A70A83BC965D9F65E5353DE3773A93B746C01CCEB18A53068CBB536E5605D7D5.vir1
922021A70B6B9B5AC8DFB381971B53579FA1A6086A052884E350BD221AA4CCEEA62144A70B6B9B5AC8DFB381971B53579FA1A6086A052884E350BD221AA4CCEEA62144.vir1
932021A70D370EE36691E6989B1002D4327E6E64D2027A4A7B4C6EFA3F407F8EBA908AA70D370EE36691E6989B1002D4327E6E64D2027A4A7B4C6EFA3F407F8EBA908A.vir1
942021A70DBDDFF4DE29C4EAEE9262AC136139423C17EEA7ACBD995827A71823F9CD69A70DBDDFF4DE29C4EAEE9262AC136139423C17EEA7ACBD995827A71823F9CD69.vir1
952021A70F1FB9F00AF6D4D41FEA5926B8B3DC223DFD8D1B58E0A5860EAD65C093AA59A70F1FB9F00AF6D4D41FEA5926B8B3DC223DFD8D1B58E0A5860EAD65C093AA59.vir1
962021A70FA7A6064D3A5D267FFBF21595861211A6B9CAC098976FBB5D877B3AF39A12A70FA7A6064D3A5D267FFBF21595861211A6B9CAC098976FBB5D877B3AF39A12.vir1
972021A71028C5975CD084F3F98145CB7BB9354A83A04E233BC8194A63707C7408A896A71028C5975CD084F3F98145CB7BB9354A83A04E233BC8194A63707C7408A896.vir1