Overview

Dataset statistics

Number of variables9
Number of observations251
Missing cells281
Missing cells (%)12.4%
Total size in memory17.8 KiB
Average record size in memory72.5 B

Variable types

Numeric2
Text7

Alerts

ประเภทหน่วยงาน has constant value ""Constant
link แบบประเมิน has 15 (6.0%) missing valuesMissing
link รายงานประเมินผล has 77 (30.7%) missing valuesMissing
คะแนน has 111 (44.2%) missing valuesMissing
สรุปผลการประเมิน has 75 (29.9%) missing valuesMissing

Reproduction

Analysis started2026-08-19 00:32:31.252011
Analysis finished2026-08-19 00:32:31.971796
Duration0.72 seconds
Software versionydata-profiling vv4.6.4
Download configurationconfig.json

Variables

Distinct7
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2565.023904
Minimum2562
Maximum2568
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2026-08-19T07:32:32.174954image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2562
5-th percentile2562
Q12563
median2565
Q32567
95-th percentile2568
Maximum2568
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.011821636
Coefficient of variation (CV)0.0007843286109
Kurtosis-1.255572393
Mean2565.023904
Median Absolute Deviation (MAD)2
Skewness-0.01810729056
Sum643821
Variance4.047426295
MonotonicityDecreasing
2026-08-19T07:32:32.488107image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2568 37
14.7%
2567 36
14.3%
2566 36
14.3%
2565 36
14.3%
2562 36
14.3%
2564 35
13.9%
2563 35
13.9%
ValueCountFrequency (%)
2562 36
14.3%
2563 35
13.9%
2564 35
13.9%
2565 36
14.3%
2566 36
14.3%
ValueCountFrequency (%)
2568 37
14.7%
2567 36
14.3%
2566 36
14.3%
2565 36
14.3%
2564 35
13.9%
Distinct19
Distinct (%)7.6%
Missing1
Missing (%)0.4%
Memory size2.1 KiB
2026-08-19T07:32:33.000617image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length48
Median length38
Mean length24.916
Min length13

Characters and Unicode

Total characters6229
Distinct characters41
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.8%

Sample

1st rowกระทรวงการพัฒนาสังคมและความมั่นคงของมนุษย์
2nd rowกระทรวงศึกษาธิการ
3rd rowกระทรวงสาธารณสุข
4th rowกระทรวงการอุดมศึกษา วิทยาศาสตร์ วิจัยและนวัตกรรม
5th rowกระทรวงศึกษาธิการ
ValueCountFrequency (%)
กระทรวงการอุดมศึกษา 49
14.1%
วิทยาศาสตร์ 49
14.1%
วิจัยและนวัตกรรม 49
14.1%
สำนักนายกรัฐมนตรี 49
14.1%
กระทรวงศึกษาธิการ 21
6.0%
กระทรวงวัฒนธรรม 21
6.0%
กระทรวงพาณิชย์ 21
6.0%
กระทรวงเกษตรและสหกรณ์ 21
6.0%
กระทรวงสาธารณสุข 14
 
4.0%
กระทรวงทรัพยากรธรรมชาติและสิ่งแวดล้อม 14
 
4.0%
Other values (8) 40
11.5%
2026-08-19T07:32:33.962488image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
914
 
14.7%
573
 
9.2%
417
 
6.7%
397
 
6.4%
300
 
4.8%
279
 
4.5%
267
 
4.3%
262
 
4.2%
249
 
4.0%
238
 
3.8%
Other values (31) 2333
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5302
85.1%
Nonspacing Mark 799
 
12.8%
Space Separator 128
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
914
17.2%
573
 
10.8%
417
 
7.9%
397
 
7.5%
300
 
5.7%
279
 
5.3%
267
 
5.0%
249
 
4.7%
238
 
4.5%
203
 
3.8%
Other values (21) 1465
27.6%
Nonspacing Mark
ValueCountFrequency (%)
262
32.8%
178
22.3%
98
 
12.3%
77
 
9.6%
70
 
8.8%
63
 
7.9%
36
 
4.5%
14
 
1.8%
1
 
0.1%
Space Separator
ValueCountFrequency (%)
128
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 6101
97.9%
Common 128
 
2.1%

Most frequent character per script

Thai
ValueCountFrequency (%)
914
15.0%
573
 
9.4%
417
 
6.8%
397
 
6.5%
300
 
4.9%
279
 
4.6%
267
 
4.4%
262
 
4.3%
249
 
4.1%
238
 
3.9%
Other values (30) 2205
36.1%
Common
ValueCountFrequency (%)
128
100.0%

Most occurring blocks

ValueCountFrequency (%)
Thai 6101
97.9%
ASCII 128
 
2.1%

Most frequent character per block

Thai
ValueCountFrequency (%)
914
15.0%
573
 
9.4%
417
 
6.8%
397
 
6.5%
300
 
4.9%
279
 
4.6%
267
 
4.4%
262
 
4.3%
249
 
4.1%
238
 
3.9%
Other values (30) 2205
36.1%
ASCII
ValueCountFrequency (%)
128
100.0%
Distinct42
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2026-08-19T07:32:34.708950image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length79
Median length57
Mean length47.23505976
Min length24

Characters and Unicode

Total characters11856
Distinct characters57
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)2.0%

Sample

1st rowสถาบันพัฒนาองค์กรชุมชน (องค์การมหาชน)
2nd rowโรงเรียนมหิดลวิทยานุสรณ์
3rd rowโรงพยาบาลบ้านแพ้ว (องค์การมหาชน)
4th rowสำนักงานพัฒนาเทคโนโลยีอวกาศและภูมิสารสนเทศ (องค์การมหาชน)
5th rowสำนักงานรับรองมาตรฐานและประเมินคุณภาพการศึกษา (องค์การมหาชน)
ValueCountFrequency (%)
องค์การมหาชน 244
48.1%
สถาบันพัฒนาองค์กรชุมชน 7
 
1.4%
สถาบันระหว่างประเทศเพื่อการค้าและการพัฒนา 7
 
1.4%
สถาบันวิจัยและพัฒนาพื้นที่สูง 7
 
1.4%
สำนักงานความร่วมมือพัฒนาเศรษฐกิจกับประเทศเพื่อนบ้าน 7
 
1.4%
โรงพยาบาลบ้านแพ้ว 7
 
1.4%
สำนักงานบริหารและพัฒนาองค์ความรู้ 7
 
1.4%
สถาบันวิจัยและพัฒนาอัญมณีและเครื่องประดับแห่งชาติ 7
 
1.4%
สำนักงานพัฒนาเทคโนโลยีอวกาศและภูมิสารสนเทศ 7
 
1.4%
องค์การบริหารการพัฒนาพื้นที่พิเศษเพื่อการท่องเที่ยวอย่างยั่งยืน 7
 
1.4%
Other values (33) 200
39.4%
2026-08-19T07:32:35.845212image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1304
 
11.0%
884
 
7.5%
870
 
7.3%
566
 
4.8%
539
 
4.5%
447
 
3.8%
426
 
3.6%
421
 
3.6%
402
 
3.4%
362
 
3.1%
Other values (47) 5635
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9403
79.3%
Nonspacing Mark 1709
 
14.4%
Space Separator 254
 
2.1%
Close Punctuation 244
 
2.1%
Open Punctuation 244
 
2.1%
Control 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1304
 
13.9%
884
 
9.4%
870
 
9.3%
566
 
6.0%
539
 
5.7%
426
 
4.5%
421
 
4.5%
402
 
4.3%
362
 
3.8%
351
 
3.7%
Other values (31) 3278
34.9%
Nonspacing Mark
ValueCountFrequency (%)
447
26.2%
343
20.1%
327
19.1%
177
 
10.4%
103
 
6.0%
85
 
5.0%
71
 
4.2%
70
 
4.1%
51
 
3.0%
14
 
0.8%
Other values (2) 21
 
1.2%
Space Separator
ValueCountFrequency (%)
254
100.0%
Close Punctuation
ValueCountFrequency (%)
) 244
100.0%
Open Punctuation
ValueCountFrequency (%)
( 244
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 11112
93.7%
Common 744
 
6.3%

Most frequent character per script

Thai
ValueCountFrequency (%)
1304
 
11.7%
884
 
8.0%
870
 
7.8%
566
 
5.1%
539
 
4.9%
447
 
4.0%
426
 
3.8%
421
 
3.8%
402
 
3.6%
362
 
3.3%
Other values (43) 4891
44.0%
Common
ValueCountFrequency (%)
254
34.1%
) 244
32.8%
( 244
32.8%
2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Thai 11112
93.7%
ASCII 744
 
6.3%

Most frequent character per block

Thai
ValueCountFrequency (%)
1304
 
11.7%
884
 
8.0%
870
 
7.8%
566
 
5.1%
539
 
4.9%
447
 
4.0%
426
 
3.8%
421
 
3.8%
402
 
3.6%
362
 
3.3%
Other values (43) 4891
44.0%
ASCII
ValueCountFrequency (%)
254
34.1%
) 244
32.8%
( 244
32.8%
2
 
0.3%
Distinct1
Distinct (%)0.4%
Missing1
Missing (%)0.4%
Memory size2.1 KiB
2026-08-19T07:32:36.321054image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters3000
Distinct characters11
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 rowองค์การมหาชน
2nd rowองค์การมหาชน
3rd rowองค์การมหาชน
4th rowองค์การมหาชน
5th rowองค์การมหาชน
ValueCountFrequency (%)
องค์การมหาชน 250
100.0%
2026-08-19T07:32:37.103403image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
500
16.7%
250
8.3%
250
8.3%
250
8.3%
250
8.3%
250
8.3%
250
8.3%
250
8.3%
250
8.3%
250
8.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2750
91.7%
Nonspacing Mark 250
 
8.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
500
18.2%
250
9.1%
250
9.1%
250
9.1%
250
9.1%
250
9.1%
250
9.1%
250
9.1%
250
9.1%
250
9.1%
Nonspacing Mark
ValueCountFrequency (%)
250
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 3000
100.0%

Most frequent character per script

Thai
ValueCountFrequency (%)
500
16.7%
250
8.3%
250
8.3%
250
8.3%
250
8.3%
250
8.3%
250
8.3%
250
8.3%
250
8.3%
250
8.3%

Most occurring blocks

ValueCountFrequency (%)
Thai 3000
100.0%

Most frequent character per block

Thai
ValueCountFrequency (%)
500
16.7%
250
8.3%
250
8.3%
250
8.3%
250
8.3%
250
8.3%
250
8.3%
250
8.3%
250
8.3%
250
8.3%
Distinct37
Distinct (%)14.8%
Missing1
Missing (%)0.4%
Memory size2.1 KiB
2026-08-19T07:32:37.839838image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length73
Median length34
Mean length34.132
Min length33

Characters and Unicode

Total characters8533
Distinct characters46
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st rowhttps://po.opdc.go.th/content/OTg
2nd rowhttps://po.opdc.go.th/content/OTk
3rd rowhttps://po.opdc.go.th/content/MTAw
4th rowhttps://po.opdc.go.th/content/MTAz
5th rowhttps://po.opdc.go.th/content/MTA0
ValueCountFrequency (%)
https://po.opdc.go.th/content/otg 7
 
2.8%
https://po.opdc.go.th/content/mtiw 7
 
2.8%
https://po.opdc.go.th/content/mte4 7
 
2.8%
https://po.opdc.go.th/content/mtaw 7
 
2.8%
https://po.opdc.go.th/content/mtaz 7
 
2.8%
https://po.opdc.go.th/content/mta0 7
 
2.8%
https://po.opdc.go.th/content/mta1 7
 
2.8%
https://po.opdc.go.th/content/mta2 7
 
2.8%
https://po.opdc.go.th/content/mta3 7
 
2.8%
https://po.opdc.go.th/content/mta4 7
 
2.8%
Other values (27) 180
72.0%
2026-08-19T07:32:39.035634image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 1253
14.7%
o 1004
11.8%
/ 999
11.7%
p 753
8.8%
. 751
8.8%
n 503
 
5.9%
h 501
 
5.9%
c 499
 
5.8%
M 287
 
3.4%
g 258
 
3.0%
Other values (36) 1725
20.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5641
66.1%
Other Punctuation 2001
 
23.5%
Uppercase Letter 741
 
8.7%
Decimal Number 146
 
1.7%
Connector Punctuation 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 1253
22.2%
o 1004
17.8%
p 753
13.3%
n 503
8.9%
h 501
 
8.9%
c 499
 
8.8%
g 258
 
4.6%
d 251
 
4.4%
s 250
 
4.4%
e 250
 
4.4%
Other values (13) 119
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
M 287
38.7%
T 245
33.1%
E 63
 
8.5%
I 56
 
7.6%
A 49
 
6.6%
O 18
 
2.4%
Q 11
 
1.5%
N 4
 
0.5%
D 4
 
0.5%
Y 4
 
0.5%
Decimal Number
ValueCountFrequency (%)
2 28
19.2%
3 28
19.2%
5 25
17.1%
4 22
15.1%
1 21
14.4%
0 21
14.4%
6 1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
/ 999
49.9%
. 751
37.5%
: 250
 
12.5%
? 1
 
< 0.1%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6382
74.8%
Common 2151
 
25.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 1253
19.6%
o 1004
15.7%
p 753
11.8%
n 503
7.9%
h 501
 
7.9%
c 499
 
7.8%
M 287
 
4.5%
g 258
 
4.0%
d 251
 
3.9%
s 250
 
3.9%
Other values (23) 823
12.9%
Common
ValueCountFrequency (%)
/ 999
46.4%
. 751
34.9%
: 250
 
11.6%
2 28
 
1.3%
3 28
 
1.3%
5 25
 
1.2%
4 22
 
1.0%
1 21
 
1.0%
0 21
 
1.0%
_ 3
 
0.1%
Other values (3) 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8533
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 1253
14.7%
o 1004
11.8%
/ 999
11.7%
p 753
8.8%
. 751
8.8%
n 503
 
5.9%
h 501
 
5.9%
c 499
 
5.8%
M 287
 
3.4%
g 258
 
3.0%
Other values (36) 1725
20.2%
Distinct234
Distinct (%)99.2%
Missing15
Missing (%)6.0%
Memory size2.1 KiB
2026-08-19T07:32:39.906015image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length108
Median length107
Mean length76.38559322
Min length61

Characters and Unicode

Total characters18027
Distinct characters64
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique232 ?
Unique (%)98.3%

Sample

1st rowhttps://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-173692186599.pdf
2nd rowhttps://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-1736922018123.pdf
3rd rowhttps://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-173692285392.pdf
4th rowhttps://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-1736922879100.pdf
5th rowhttps://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-1736923070253.pdf
ValueCountFrequency (%)
https://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-1738811101120.pdf 2
 
0.8%
https://po.opdc.go.th/file/reader/bnx8ndk5oxx8zmlszv91cgxvywq 2
 
0.8%
https://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-173881106376.pdf 1
 
0.4%
https://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-1736927832298.pdf 1
 
0.4%
https://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-173692285392.pdf 1
 
0.4%
https://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-1736922879100.pdf 1
 
0.4%
https://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-1736923070253.pdf 1
 
0.4%
https://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-173692314127.pdf 1
 
0.4%
https://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-173692322099.pdf 1
 
0.4%
https://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-1736923244238.pdf 1
 
0.4%
Other values (224) 224
94.9%
2026-08-19T07:32:41.067392image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 1253
 
7.0%
e 1077
 
6.0%
s 1074
 
6.0%
p 1071
 
5.9%
t 930
 
5.2%
o 927
 
5.1%
a 889
 
4.9%
d 788
 
4.4%
. 781
 
4.3%
f 684
 
3.8%
Other values (54) 8553
47.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11746
65.2%
Other Punctuation 2270
 
12.6%
Uppercase Letter 2040
 
11.3%
Decimal Number 1606
 
8.9%
Connector Punctuation 292
 
1.6%
Dash Punctuation 73
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1077
 
9.2%
s 1074
 
9.1%
p 1071
 
9.1%
t 930
 
7.9%
o 927
 
7.9%
a 889
 
7.6%
d 788
 
6.7%
f 684
 
5.8%
l 577
 
4.9%
h 542
 
4.6%
Other values (16) 3187
27.1%
Uppercase Letter
ValueCountFrequency (%)
G 234
11.5%
Z 226
11.1%
V 204
 
10.0%
X 155
 
7.6%
D 140
 
6.9%
H 138
 
6.8%
N 133
 
6.5%
W 112
 
5.5%
F 88
 
4.3%
M 84
 
4.1%
Other values (13) 526
25.8%
Decimal Number
ValueCountFrequency (%)
8 319
19.9%
1 282
17.6%
3 239
14.9%
2 204
12.7%
9 173
10.8%
7 106
 
6.6%
0 79
 
4.9%
4 77
 
4.8%
6 73
 
4.5%
5 54
 
3.4%
Other Punctuation
ValueCountFrequency (%)
/ 1253
55.2%
. 781
34.4%
: 236
 
10.4%
Connector Punctuation
ValueCountFrequency (%)
_ 292
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 73
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13786
76.5%
Common 4241
 
23.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1077
 
7.8%
s 1074
 
7.8%
p 1071
 
7.8%
t 930
 
6.7%
o 927
 
6.7%
a 889
 
6.4%
d 788
 
5.7%
f 684
 
5.0%
l 577
 
4.2%
h 542
 
3.9%
Other values (39) 5227
37.9%
Common
ValueCountFrequency (%)
/ 1253
29.5%
. 781
18.4%
8 319
 
7.5%
_ 292
 
6.9%
1 282
 
6.6%
3 239
 
5.6%
: 236
 
5.6%
2 204
 
4.8%
9 173
 
4.1%
7 106
 
2.5%
Other values (5) 356
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18027
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 1253
 
7.0%
e 1077
 
6.0%
s 1074
 
6.0%
p 1071
 
5.9%
t 930
 
5.2%
o 927
 
5.1%
a 889
 
4.9%
d 788
 
4.4%
. 781
 
4.3%
f 684
 
3.8%
Other values (54) 8553
47.4%
Distinct173
Distinct (%)99.4%
Missing77
Missing (%)30.7%
Memory size2.1 KiB
2026-08-19T07:32:41.936148image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length108
Median length107
Mean length71.47126437
Min length61

Characters and Unicode

Total characters12436
Distinct characters65
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique172 ?
Unique (%)98.9%

Sample

1st rowhttps://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-1731053981103.pdf
2nd rowhttps://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-1731054275288.pdf
3rd rowhttps://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-1731054288107.pdf
4th rowhttps://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-1731054303273.pdf
5th rowhttps://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-1731054321246.pdf
ValueCountFrequency (%)
https://po.opdc.go.th/file/reader/rhx8ndk1oxx8zmlszv91cgxvywq 2
 
1.1%
https://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-1731054518182.pdf 1
 
0.6%
https://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-1731054275288.pdf 1
 
0.6%
https://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-1731054288107.pdf 1
 
0.6%
https://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-1731054303273.pdf 1
 
0.6%
https://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-1731054321246.pdf 1
 
0.6%
https://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-1731055128106.pdf 1
 
0.6%
https://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-1731054438256.pdf 1
 
0.6%
https://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-173105445340.pdf 1
 
0.6%
https://poportal.opdc.go.th/opdcadm/uploads/assessment_manage_files/assessment_manage_file-1731054465264.pdf 1
 
0.6%
Other values (163) 163
93.7%
2026-08-19T07:32:43.228419image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 905
 
7.3%
p 717
 
5.8%
e 707
 
5.7%
t 628
 
5.0%
o 628
 
5.0%
s 617
 
5.0%
. 557
 
4.5%
d 525
 
4.2%
a 511
 
4.1%
f 480
 
3.9%
Other values (55) 6161
49.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7878
63.3%
Uppercase Letter 1710
 
13.8%
Other Punctuation 1636
 
13.2%
Decimal Number 1037
 
8.3%
Connector Punctuation 140
 
1.1%
Dash Punctuation 35
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p 717
 
9.1%
e 707
 
9.0%
t 628
 
8.0%
o 628
 
8.0%
s 617
 
7.8%
d 525
 
6.7%
a 511
 
6.5%
f 480
 
6.1%
h 406
 
5.2%
l 383
 
4.9%
Other values (15) 2276
28.9%
Uppercase Letter
ValueCountFrequency (%)
Z 209
12.2%
G 190
11.1%
V 164
 
9.6%
X 126
 
7.4%
H 123
 
7.2%
D 119
 
7.0%
W 97
 
5.7%
M 91
 
5.3%
O 76
 
4.4%
Q 74
 
4.3%
Other values (15) 441
25.8%
Decimal Number
ValueCountFrequency (%)
8 206
19.9%
1 156
15.0%
3 129
12.4%
9 114
11.0%
2 102
9.8%
4 94
9.1%
0 89
8.6%
5 75
 
7.2%
7 55
 
5.3%
6 17
 
1.6%
Other Punctuation
ValueCountFrequency (%)
/ 905
55.3%
. 557
34.0%
: 174
 
10.6%
Connector Punctuation
ValueCountFrequency (%)
_ 140
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9588
77.1%
Common 2848
 
22.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
p 717
 
7.5%
e 707
 
7.4%
t 628
 
6.5%
o 628
 
6.5%
s 617
 
6.4%
d 525
 
5.5%
a 511
 
5.3%
f 480
 
5.0%
h 406
 
4.2%
l 383
 
4.0%
Other values (40) 3986
41.6%
Common
ValueCountFrequency (%)
/ 905
31.8%
. 557
19.6%
8 206
 
7.2%
: 174
 
6.1%
1 156
 
5.5%
_ 140
 
4.9%
3 129
 
4.5%
9 114
 
4.0%
2 102
 
3.6%
4 94
 
3.3%
Other values (5) 271
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12436
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 905
 
7.3%
p 717
 
5.8%
e 707
 
5.7%
t 628
 
5.0%
o 628
 
5.0%
s 617
 
5.0%
. 557
 
4.5%
d 525
 
4.2%
a 511
 
4.1%
f 480
 
3.9%
Other values (55) 6161
49.5%

คะแนน
Real number (ℝ)

MISSING 

Distinct113
Distinct (%)80.7%
Missing111
Missing (%)44.2%
Infinite0
Infinite (%)0.0%
Mean91.4975
Minimum0
Maximum100
Zeros1
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2026-08-19T07:32:43.713590image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile76
Q189.9375
median94.685
Q397.5
95-th percentile99.81
Maximum100
Range100
Interquartile range (IQR)7.5625

Descriptive statistics

Standard deviation11.42369802
Coefficient of variation (CV)0.12485257
Kurtosis31.4507364
Mean91.4975
Median Absolute Deviation (MAD)3.58
Skewness-4.687378406
Sum12809.65
Variance130.5008764
MonotonicityNot monotonic
2026-08-19T07:32:44.152417image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 7
 
2.8%
95 6
 
2.4%
90 5
 
2.0%
98.75 4
 
1.6%
99.5 3
 
1.2%
96.88 2
 
0.8%
94.83 2
 
0.8%
97.5 2
 
0.8%
99.8 2
 
0.8%
98.2 2
 
0.8%
Other values (103) 105
41.8%
(Missing) 111
44.2%
ValueCountFrequency (%)
0 1
0.4%
41.67 1
0.4%
64.07 1
0.4%
65.49 1
0.4%
68.63 1
0.4%
ValueCountFrequency (%)
100 7
2.8%
99.8 2
 
0.8%
99.53 1
 
0.4%
99.5 3
1.2%
99.31 1
 
0.4%
Distinct13
Distinct (%)7.4%
Missing75
Missing (%)29.9%
Memory size2.1 KiB
2026-08-19T07:32:44.621343image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length22
Median length10
Mean length11.69318182
Min length7

Characters and Unicode

Total characters2058
Distinct characters34
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)2.8%

Sample

1st rowระดับดีมาก
2nd rowระดับดีมาก
3rd rowระดับดีมาก
4th rowระดับดีมาก
5th rowระดับดีมาก
ValueCountFrequency (%)
ระดับดีมาก 115
49.4%
ระดับคุณภาพ 28
 
12.0%
ระดับ 28
 
12.0%
ระดับดี 19
 
8.2%
3 14
 
6.0%
2 10
 
4.3%
ระดับต้องปรับปรุง 5
 
2.1%
ระดับพอใช้ 4
 
1.7%
1 4
 
1.7%
ระดับมาตรฐาน 4
 
1.7%
Other values (2) 2
 
0.9%
2026-08-19T07:32:45.513896image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
337
16.4%
218
10.6%
208
10.1%
208
10.1%
204
9.9%
151
7.3%
134
 
6.5%
121
 
5.9%
115
 
5.6%
33
 
1.6%
Other values (24) 329
16.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1528
74.2%
Nonspacing Mark 386
 
18.8%
Space Separator 31
 
1.5%
Control 29
 
1.4%
Close Punctuation 28
 
1.4%
Open Punctuation 28
 
1.4%
Decimal Number 28
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
337
22.1%
218
14.3%
208
13.6%
204
13.4%
151
9.9%
121
 
7.9%
115
 
7.5%
32
 
2.1%
28
 
1.8%
28
 
1.8%
Other values (11) 86
 
5.6%
Nonspacing Mark
ValueCountFrequency (%)
208
53.9%
134
34.7%
33
 
8.5%
9
 
2.3%
1
 
0.3%
1
 
0.3%
Decimal Number
ValueCountFrequency (%)
3 14
50.0%
2 10
35.7%
1 4
 
14.3%
Space Separator
ValueCountFrequency (%)
31
100.0%
Control
ValueCountFrequency (%)
29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 1914
93.0%
Common 144
 
7.0%

Most frequent character per script

Thai
ValueCountFrequency (%)
337
17.6%
218
11.4%
208
10.9%
208
10.9%
204
10.7%
151
7.9%
134
 
7.0%
121
 
6.3%
115
 
6.0%
33
 
1.7%
Other values (17) 185
9.7%
Common
ValueCountFrequency (%)
31
21.5%
29
20.1%
) 28
19.4%
( 28
19.4%
3 14
9.7%
2 10
 
6.9%
1 4
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Thai 1914
93.0%
ASCII 144
 
7.0%

Most frequent character per block

Thai
ValueCountFrequency (%)
337
17.6%
218
11.4%
208
10.9%
208
10.9%
204
10.7%
151
7.9%
134
 
7.0%
121
 
6.3%
115
 
6.0%
33
 
1.7%
Other values (17) 185
9.7%
ASCII
ValueCountFrequency (%)
31
21.5%
29
20.1%
) 28
19.4%
( 28
19.4%
3 14
9.7%
2 10
 
6.9%
1 4
 
2.8%