Overview

Dataset statistics

Number of variables4
Number of observations36
Missing cells0
Missing cells (%)0.0%
Total size in memory1.2 KiB
Average record size in memory35.6 B

Variable types

Text4

Reproduction

Analysis started2026-08-19 00:34:21.643299
Analysis finished2026-08-19 00:34:21.927492
Duration0.28 seconds
Software versionydata-profiling vv4.6.4
Download configurationconfig.json

Variables

ปีที่มีผลบังคับใช้
Text

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size416.0 B
2026-08-19T07:34:22.188162image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters324
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2566-2568
2nd row2566-2568
3rd row2566-2568
4th row2566-2568
5th row2566-2568
ValueCountFrequency (%)
2566-2568 36
100.0%
2026-08-19T07:34:23.006229image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 108
33.3%
2 72
22.2%
5 72
22.2%
- 36
 
11.1%
8 36
 
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 288
88.9%
Dash Punctuation 36
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 108
37.5%
2 72
25.0%
5 72
25.0%
8 36
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 324
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 108
33.3%
2 72
22.2%
5 72
22.2%
- 36
 
11.1%
8 36
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 324
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 108
33.3%
2 72
22.2%
5 72
22.2%
- 36
 
11.1%
8 36
 
11.1%

วันที่ลงนาม
Text

Distinct31
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Memory size416.0 B
2026-08-19T07:34:23.744724image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters684
Distinct characters13
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

Unique27 ?
Unique (%)75.0%

Sample

1st row2567-08-23T00:00:00
2nd row2567-10-24T00:00:00
3rd row2567-05-30T00:00:00
4th row2567-07-01T00:00:00
5th row2567-10-29T00:00:00
ValueCountFrequency (%)
2567-11-01t00:00:00 3
 
8.3%
2567-11-22t00:00:00 2
 
5.6%
2567-09-26t00:00:00 2
 
5.6%
2567-10-24t00:00:00 2
 
5.6%
2567-11-12t00:00:00 1
 
2.8%
2567-05-24t00:00:00 1
 
2.8%
2567-09-13t00:00:00 1
 
2.8%
2567-10-21t00:00:00 1
 
2.8%
2567-10-15t00:00:00 1
 
2.8%
2567-08-20t00:00:00 1
 
2.8%
Other values (21) 21
58.3%
2026-08-19T07:34:24.879775image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 252
36.8%
- 72
 
10.5%
: 72
 
10.5%
2 57
 
8.3%
1 45
 
6.6%
5 43
 
6.3%
7 41
 
6.0%
6 39
 
5.7%
T 36
 
5.3%
9 11
 
1.6%
Other values (3) 16
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 504
73.7%
Dash Punctuation 72
 
10.5%
Other Punctuation 72
 
10.5%
Uppercase Letter 36
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 252
50.0%
2 57
 
11.3%
1 45
 
8.9%
5 43
 
8.5%
7 41
 
8.1%
6 39
 
7.7%
9 11
 
2.2%
8 8
 
1.6%
4 5
 
1.0%
3 3
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Other Punctuation
ValueCountFrequency (%)
: 72
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 648
94.7%
Latin 36
 
5.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 252
38.9%
- 72
 
11.1%
: 72
 
11.1%
2 57
 
8.8%
1 45
 
6.9%
5 43
 
6.6%
7 41
 
6.3%
6 39
 
6.0%
9 11
 
1.7%
8 8
 
1.2%
Other values (2) 8
 
1.2%
Latin
ValueCountFrequency (%)
T 36
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 684
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 252
36.8%
- 72
 
10.5%
: 72
 
10.5%
2 57
 
8.3%
1 45
 
6.6%
5 43
 
6.3%
7 41
 
6.0%
6 39
 
5.7%
T 36
 
5.3%
9 11
 
1.6%
Other values (3) 16
 
2.3%

ชื่อหน่วยงาน
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size416.0 B
2026-08-19T07:34:25.794611image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length86
Median length63
Mean length54.36111111
Min length31

Characters and Unicode

Total characters1957
Distinct characters60
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st rowสถาบันพัฒนาองค์กรชุมชน (องค์การมหาชน) (พอช.)
2nd rowโรงเรียนมหิดลวิทยานุสรณ์ (MWIT)
3rd rowโรงพยาบาลบ้านแพ้ว (องค์การมหาชน) (รพบ.)
4th rowสำนักงานพัฒนาเทคโนโลยีอวกาศและภูมิสารสนเทศ (องค์การมหาชน) (สทอภ.)
5th rowสำนักงานรับรองมาตรฐานและประเมินคุณภาพการศึกษา (องค์การมหาชน) (สมศ.)
ValueCountFrequency (%)
องค์การมหาชน 35
32.1%
สำนักงานพัฒนาเทคโนโลยีอวกาศและภูมิสารสนเทศ 1
 
0.9%
สคพ 1
 
0.9%
สถาบันระหว่างประเทศเพื่อการค้าและการพัฒนา 1
 
0.9%
ศมส 1
 
0.9%
ศูนย์มานุษยวิทยาสิรินธร 1
 
0.9%
สมศ 1
 
0.9%
สำนักงานรับรองมาตรฐานและประเมินคุณภาพการศึกษา 1
 
0.9%
สทอภ 1
 
0.9%
รพบ 1
 
0.9%
Other values (65) 65
59.6%
2026-08-19T07:34:27.094860image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
า 187
 
9.6%
น 131
 
6.7%
ร 131
 
6.7%
ก 84
 
4.3%
ส 83
 
4.2%
ง 77
 
3.9%
73
 
3.7%
) 71
 
3.6%
( 71
 
3.6%
ั 65
 
3.3%
Other values (50) 984
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1459
74.6%
Nonspacing Mark 245
 
12.5%
Space Separator 73
 
3.7%
Close Punctuation 71
 
3.6%
Open Punctuation 71
 
3.6%
Other Punctuation 34
 
1.7%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
า 187
 
12.8%
น 131
 
9.0%
ร 131
 
9.0%
ก 84
 
5.8%
ส 83
 
5.7%
ง 77
 
5.3%
อ 65
 
4.5%
ม 63
 
4.3%
ค 62
 
4.2%
ช 52
 
3.6%
Other values (30) 524
35.9%
Nonspacing Mark
ValueCountFrequency (%)
ั 65
26.5%
์ 49
20.0%
ิ 47
19.2%
่ 25
 
10.2%
ี 15
 
6.1%
้ 12
 
4.9%
ื 10
 
4.1%
ุ 10
 
4.1%
ู 7
 
2.9%
็ 2
 
0.8%
Other values (2) 3
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
W 1
25.0%
I 1
25.0%
T 1
25.0%
M 1
25.0%
Space Separator
ValueCountFrequency (%)
73
100.0%
Close Punctuation
ValueCountFrequency (%)
) 71
100.0%
Open Punctuation
ValueCountFrequency (%)
( 71
100.0%
Other Punctuation
ValueCountFrequency (%)
. 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 1704
87.1%
Common 249
 
12.7%
Latin 4
 
0.2%

Most frequent character per script

Thai
ValueCountFrequency (%)
า 187
 
11.0%
น 131
 
7.7%
ร 131
 
7.7%
ก 84
 
4.9%
ส 83
 
4.9%
ง 77
 
4.5%
ั 65
 
3.8%
อ 65
 
3.8%
ม 63
 
3.7%
ค 62
 
3.6%
Other values (42) 756
44.4%
Common
ValueCountFrequency (%)
73
29.3%
) 71
28.5%
( 71
28.5%
. 34
13.7%
Latin
ValueCountFrequency (%)
W 1
25.0%
I 1
25.0%
T 1
25.0%
M 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Thai 1704
87.1%
ASCII 253
 
12.9%

Most frequent character per block

Thai
ValueCountFrequency (%)
า 187
 
11.0%
น 131
 
7.7%
ร 131
 
7.7%
ก 84
 
4.9%
ส 83
 
4.9%
ง 77
 
4.5%
ั 65
 
3.8%
อ 65
 
3.8%
ม 63
 
3.7%
ค 62
 
3.6%
Other values (42) 756
44.4%
ASCII
ValueCountFrequency (%)
73
28.9%
) 71
28.1%
( 71
28.1%
. 34
13.4%
W 1
 
0.4%
I 1
 
0.4%
T 1
 
0.4%
M 1
 
0.4%

link เข้าถึงเอกสาร
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size416.0 B
2026-08-19T07:34:28.045665image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length108
Median length108
Mean length107.6388889
Min length106

Characters and Unicode

Total characters3875
Distinct characters32
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st rowhttps://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-1730080503233.pdf
2nd rowhttps://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-1733195985112.pdf
3rd rowhttps://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-1741855980154.pdf
4th rowhttps://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-1729837664260.pdf
5th rowhttps://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-1745827984115.pdf
ValueCountFrequency (%)
https://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-1730080503233.pdf 1
 
2.8%
https://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-1733195985112.pdf 1
 
2.8%
https://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-1729591255126.pdf 1
 
2.8%
https://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-1741855980154.pdf 1
 
2.8%
https://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-1729837664260.pdf 1
 
2.8%
https://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-1745827984115.pdf 1
 
2.8%
https://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-17370963333.pdf 1
 
2.8%
https://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-1737528086175.pdf 1
 
2.8%
https://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-172959121910.pdf 1
 
2.8%
https://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-1733196255266.pdf 1
 
2.8%
Other values (26) 26
72.2%
2026-08-19T07:34:29.331030image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 396
 
10.2%
a 324
 
8.4%
e 288
 
7.4%
p 252
 
6.5%
t 216
 
5.6%
/ 216
 
5.6%
o 216
 
5.6%
m 180
 
4.6%
d 180
 
4.6%
. 144
 
3.7%
Other values (22) 1463
37.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2844
73.4%
Decimal Number 455
 
11.7%
Other Punctuation 396
 
10.2%
Connector Punctuation 144
 
3.7%
Dash Punctuation 36
 
0.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 396
13.9%
a 324
11.4%
e 288
10.1%
p 252
8.9%
t 216
7.6%
o 216
7.6%
m 180
 
6.3%
d 180
 
6.3%
l 144
 
5.1%
n 144
 
5.1%
Other values (7) 504
17.7%
Decimal Number
ValueCountFrequency (%)
1 82
18.0%
7 74
16.3%
9 52
11.4%
2 51
11.2%
3 46
10.1%
5 44
9.7%
0 31
 
6.8%
8 30
 
6.6%
6 25
 
5.5%
4 20
 
4.4%
Other Punctuation
ValueCountFrequency (%)
/ 216
54.5%
. 144
36.4%
: 36
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 144
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2844
73.4%
Common 1031
 
26.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 396
13.9%
a 324
11.4%
e 288
10.1%
p 252
8.9%
t 216
7.6%
o 216
7.6%
m 180
 
6.3%
d 180
 
6.3%
l 144
 
5.1%
n 144
 
5.1%
Other values (7) 504
17.7%
Common
ValueCountFrequency (%)
/ 216
21.0%
. 144
14.0%
_ 144
14.0%
1 82
 
8.0%
7 74
 
7.2%
9 52
 
5.0%
2 51
 
4.9%
3 46
 
4.5%
5 44
 
4.3%
- 36
 
3.5%
Other values (5) 142
13.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3875
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 396
 
10.2%
a 324
 
8.4%
e 288
 
7.4%
p 252
 
6.5%
t 216
 
5.6%
/ 216
 
5.6%
o 216
 
5.6%
m 180
 
4.6%
d 180
 
4.6%
. 144
 
3.7%
Other values (22) 1463
37.8%