Overview

Dataset statistics

Number of variables9
Number of observations2625
Missing cells1218
Missing cells (%)5.2%
Total size in memory184.7 KiB
Average record size in memory72.0 B

Variable types

Text8
Numeric1

Alerts

กระทรวง/ต้นสังกัด has 332 (12.6%) missing valuesMissing
หน่วยงานผู้รับผิดชอบ has 473 (18.0%) missing valuesMissing
ชื่อผลงาน/หมวด has 181 (6.9%) missing valuesMissing
ระดับ has 227 (8.6%) missing valuesMissing

Reproduction

Analysis started2026-08-19 00:27:53.400241
Analysis finished2026-08-19 00:27:54.877776
Duration1.48 second
Software versionydata-profiling vv4.6.4
Download configurationconfig.json

Variables

Distinct15
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
2026-08-19T07:27:55.099854image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length24
Median length3
Mean length5.575238095
Min length3

Characters and Unicode

Total characters14635
Distinct characters44
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

Unique0 ?
Unique (%)0.0%

Sample

1st rowกรม
2nd rowกรม
3rd rowกรม
4th rowกรม
5th rowกรม
ValueCountFrequency (%)
กรม 1808
68.1%
จังหวัด 401
 
15.1%
สถาบันอุดมศึกษา 150
 
5.7%
องค์การมหาชน 89
 
3.4%
รัฐวิสาหกิจ 62
 
2.3%
องค์กรปกครองส่วนท้องถิ่น 57
 
2.1%
พรบ.เฉพาะ 20
 
0.8%
บุคคล/กลุ่มบุคคล 20
 
0.8%
กรุงเทพมหานคร 12
 
0.5%
9
 
0.3%
Other values (6) 26
 
1.0%
2026-08-19T07:27:55.882157image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2266
15.5%
2138
14.6%
2079
14.2%
1033
 
7.1%
701
 
4.8%
592
 
4.0%
577
 
3.9%
556
 
3.8%
539
 
3.7%
463
 
3.2%
Other values (34) 3691
25.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12551
85.8%
Nonspacing Mark 1962
 
13.4%
Other Punctuation 40
 
0.3%
Space Separator 29
 
0.2%
Close Punctuation 20
 
0.1%
Open Punctuation 20
 
0.1%
Modifier Letter 13
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2266
18.1%
2138
17.0%
2079
16.6%
701
 
5.6%
592
 
4.7%
577
 
4.6%
556
 
4.4%
539
 
4.3%
463
 
3.7%
427
 
3.4%
Other values (20) 2213
17.6%
Nonspacing Mark
ValueCountFrequency (%)
1033
52.7%
222
 
11.3%
181
 
9.2%
160
 
8.2%
150
 
7.6%
146
 
7.4%
57
 
2.9%
13
 
0.7%
Other Punctuation
ValueCountFrequency (%)
/ 20
50.0%
. 20
50.0%
Space Separator
ValueCountFrequency (%)
29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Modifier Letter
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 14526
99.3%
Common 109
 
0.7%

Most frequent character per script

Thai
ValueCountFrequency (%)
2266
15.6%
2138
14.7%
2079
14.3%
1033
 
7.1%
701
 
4.8%
592
 
4.1%
577
 
4.0%
556
 
3.8%
539
 
3.7%
463
 
3.2%
Other values (29) 3582
24.7%
Common
ValueCountFrequency (%)
29
26.6%
/ 20
18.3%
) 20
18.3%
. 20
18.3%
( 20
18.3%

Most occurring blocks

ValueCountFrequency (%)
Thai 14526
99.3%
ASCII 109
 
0.7%

Most frequent character per block

Thai
ValueCountFrequency (%)
2266
15.6%
2138
14.7%
2079
14.3%
1033
 
7.1%
701
 
4.8%
592
 
4.1%
577
 
4.0%
556
 
3.8%
539
 
3.7%
463
 
3.2%
Other values (29) 3582
24.7%
ASCII
ValueCountFrequency (%)
29
26.6%
/ 20
18.3%
) 20
18.3%
. 20
18.3%
( 20
18.3%
Distinct32
Distinct (%)1.4%
Missing332
Missing (%)12.6%
Memory size20.6 KiB
2026-08-19T07:27:56.535318image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length56
Median length46
Mean length18.27474924
Min length5

Characters and Unicode

Total characters41904
Distinct characters50
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st rowกระทรวงมหาดไทย
2nd rowกระทรวงการพัฒนาสังคมและความมั่นคงของมนุษย์
3rd rowกระทรวงการพัฒนาสังคมและความมั่นคงของมนุษย์
4th rowกระทรวงการพัฒนาสังคมและความมั่นคงของมนุษย์
5th rowกระทรวงการพัฒนาสังคมและความมั่นคงของมนุษย์
ValueCountFrequency (%)
กระทรวงสาธารณสุข 401
15.9%
กระทรวงเกษตรและสหกรณ์ 325
12.9%
กระทรวงมหาดไทย 254
 
10.1%
จังหวัด 236
 
9.4%
กระทรวงการคลัง 120
 
4.8%
สถาบันอุดมศึกษา 113
 
4.5%
กระทรวงยุติธรรม 87
 
3.5%
กระทรวงคมนาคม 85
 
3.4%
กระทรวงกลาโหม 85
 
3.4%
กระทรวงทรัพยากรธรรมชาติและสิ่งแวดล้อม 81
 
3.2%
Other values (27) 730
29.0%
2026-08-19T07:27:57.593659image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6115
14.6%
3520
 
8.4%
2922
 
7.0%
2572
 
6.1%
2529
 
6.0%
2399
 
5.7%
2362
 
5.6%
1662
 
4.0%
1498
 
3.6%
1434
 
3.4%
Other values (40) 14891
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37428
89.3%
Nonspacing Mark 4246
 
10.1%
Space Separator 224
 
0.5%
Modifier Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6115
16.3%
3520
 
9.4%
2922
 
7.8%
2572
 
6.9%
2529
 
6.8%
2399
 
6.4%
2362
 
6.3%
1662
 
4.4%
1498
 
4.0%
984
 
2.6%
Other values (28) 10865
29.0%
Nonspacing Mark
ValueCountFrequency (%)
1434
33.8%
767
18.1%
591
13.9%
566
 
13.3%
357
 
8.4%
195
 
4.6%
129
 
3.0%
93
 
2.2%
67
 
1.6%
47
 
1.1%
Space Separator
ValueCountFrequency (%)
224
100.0%
Modifier Letter
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 41680
99.5%
Common 224
 
0.5%

Most frequent character per script

Thai
ValueCountFrequency (%)
6115
14.7%
3520
 
8.4%
2922
 
7.0%
2572
 
6.2%
2529
 
6.1%
2399
 
5.8%
2362
 
5.7%
1662
 
4.0%
1498
 
3.6%
1434
 
3.4%
Other values (39) 14667
35.2%
Common
ValueCountFrequency (%)
224
100.0%

Most occurring blocks

ValueCountFrequency (%)
Thai 41680
99.5%
ASCII 224
 
0.5%

Most frequent character per block

Thai
ValueCountFrequency (%)
6115
14.7%
3520
 
8.4%
2922
 
7.0%
2572
 
6.2%
2529
 
6.1%
2399
 
5.8%
2362
 
5.7%
1662
 
4.0%
1498
 
3.6%
1434
 
3.4%
Other values (39) 14667
35.2%
ASCII
ValueCountFrequency (%)
224
100.0%
Distinct340
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
2026-08-19T07:27:58.649974image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length158
Median length80
Mean length20.18895238
Min length8

Characters and Unicode

Total characters52996
Distinct characters82
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique115 ?
Unique (%)4.4%

Sample

1st rowกรมที่ดิน
2nd rowกรมพัฒนาสังคมและสวัสดิการ
3rd rowกรมพัฒนาสังคมและสวัสดิการ
4th rowกรมพัฒนาสังคมและสวัสดิการ
5th rowกรมพัฒนาสังคมและสวัสดิการ
ValueCountFrequency (%)
สำนักงานปลัดกระทรวงสาธารณสุข 114
 
4.0%
กรมควบคุมโรค 81
 
2.8%
กรมปศุสัตว์ 73
 
2.6%
กรมสุขภาพจิต 69
 
2.4%
กรมการขนส่งทางบก 68
 
2.4%
องค์การมหาชน 67
 
2.4%
กรมส่งเสริมการเกษตร 63
 
2.2%
มหาวิทยาลัยมหิดล 58
 
2.0%
กรมการแพทย์ 57
 
2.0%
กองทัพบก 55
 
1.9%
Other values (391) 2138
75.2%
2026-08-19T07:28:00.287683image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5317
 
10.0%
4303
 
8.1%
4072
 
7.7%
3048
 
5.8%
2818
 
5.3%
2702
 
5.1%
2586
 
4.9%
2262
 
4.3%
1565
 
3.0%
1415
 
2.7%
Other values (72) 22908
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44575
84.1%
Nonspacing Mark 7983
 
15.1%
Space Separator 251
 
0.5%
Open Punctuation 80
 
0.2%
Close Punctuation 80
 
0.2%
Other Punctuation 8
 
< 0.1%
Decimal Number 6
 
< 0.1%
Uppercase Letter 6
 
< 0.1%
Format 5
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5317
 
11.9%
4303
 
9.7%
4072
 
9.1%
2818
 
6.3%
2702
 
6.1%
2586
 
5.8%
2262
 
5.1%
1565
 
3.5%
1406
 
3.2%
1309
 
2.9%
Other values (39) 16235
36.4%
Nonspacing Mark
ValueCountFrequency (%)
3048
38.2%
1415
17.7%
846
 
10.6%
827
 
10.4%
616
 
7.7%
504
 
6.3%
352
 
4.4%
148
 
1.9%
134
 
1.7%
51
 
0.6%
Other values (3) 42
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
C 1
16.7%
M 1
16.7%
J 1
16.7%
S 1
16.7%
G 1
16.7%
P 1
16.7%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
3 1
16.7%
5 1
16.7%
4 1
16.7%
0 1
16.7%
Space Separator
ValueCountFrequency (%)
250
99.6%
  1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 6
75.0%
: 2
 
25.0%
Open Punctuation
ValueCountFrequency (%)
( 80
100.0%
Close Punctuation
ValueCountFrequency (%)
) 80
100.0%
Format
ValueCountFrequency (%)
5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 52558
99.2%
Common 432
 
0.8%
Latin 6
 
< 0.1%

Most frequent character per script

Thai
ValueCountFrequency (%)
5317
 
10.1%
4303
 
8.2%
4072
 
7.7%
3048
 
5.8%
2818
 
5.4%
2702
 
5.1%
2586
 
4.9%
2262
 
4.3%
1565
 
3.0%
1415
 
2.7%
Other values (52) 22470
42.8%
Common
ValueCountFrequency (%)
250
57.9%
( 80
 
18.5%
) 80
 
18.5%
. 6
 
1.4%
5
 
1.2%
: 2
 
0.5%
1 2
 
0.5%
- 1
 
0.2%
3 1
 
0.2%
5 1
 
0.2%
Other values (4) 4
 
0.9%
Latin
ValueCountFrequency (%)
C 1
16.7%
M 1
16.7%
J 1
16.7%
S 1
16.7%
G 1
16.7%
P 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Thai 52558
99.2%
ASCII 432
 
0.8%
Punctuation 5
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Thai
ValueCountFrequency (%)
5317
 
10.1%
4303
 
8.2%
4072
 
7.7%
3048
 
5.8%
2818
 
5.4%
2702
 
5.1%
2586
 
4.9%
2262
 
4.3%
1565
 
3.0%
1415
 
2.7%
Other values (52) 22470
42.8%
ASCII
ValueCountFrequency (%)
250
57.9%
( 80
 
18.5%
) 80
 
18.5%
. 6
 
1.4%
: 2
 
0.5%
1 2
 
0.5%
- 1
 
0.2%
3 1
 
0.2%
5 1
 
0.2%
C 1
 
0.2%
Other values (8) 8
 
1.9%
Punctuation
ValueCountFrequency (%)
5
100.0%
None
ValueCountFrequency (%)
  1
100.0%
Distinct1197
Distinct (%)55.6%
Missing473
Missing (%)18.0%
Memory size20.6 KiB
2026-08-19T07:28:00.997408image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length175
Median length94
Mean length24.19563197
Min length1

Characters and Unicode

Total characters52069
Distinct characters119
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique960 ?
Unique (%)44.6%

Sample

1st rowกรมที่ดิน
2nd rowศูนย์บริการเบ็ดเสร็จ
3rd rowศูนย์บริการเบ็ดเสร็จ
4th rowกรมพัฒนาสังคมและสวัสดิการ
5th rowสำนักงานบริการสวัสดิการสังคม
ValueCountFrequency (%)
473
 
16.4%
คณะแพทยศาสตร์ 53
 
1.8%
โรงพยาบาลรามาธิบดี 30
 
1.0%
สำนักงานป้องกันควบคุมโรคที่ 23
 
0.8%
กรมการขนส่งทางบก 21
 
0.7%
5 21
 
0.7%
3 19
 
0.7%
1 18
 
0.6%
โรงพยาบาลมหาราชนครเชียงใหม่ 16
 
0.6%
กรมปศุสัตว์ 16
 
0.6%
Other values (1341) 2189
76.0%
2026-08-19T07:28:02.140969image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4809
 
9.2%
4207
 
8.1%
3182
 
6.1%
2502
 
4.8%
2430
 
4.7%
2407
 
4.6%
2166
 
4.2%
1616
 
3.1%
1413
 
2.7%
1321
 
2.5%
Other values (109) 26016
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42077
80.8%
Nonspacing Mark 8197
 
15.7%
Space Separator 884
 
1.7%
Dash Punctuation 479
 
0.9%
Decimal Number 174
 
0.3%
Control 65
 
0.1%
Lowercase Letter 51
 
0.1%
Open Punctuation 45
 
0.1%
Close Punctuation 45
 
0.1%
Other Punctuation 26
 
< 0.1%
Other values (2) 26
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4809
 
11.4%
4207
 
10.0%
3182
 
7.6%
2502
 
5.9%
2430
 
5.8%
2166
 
5.1%
1616
 
3.8%
1413
 
3.4%
1321
 
3.1%
1261
 
3.0%
Other values (41) 17170
40.8%
Decimal Number
ValueCountFrequency (%)
1 45
25.9%
2 23
13.2%
3 22
12.6%
5 22
12.6%
7 11
 
6.3%
8 9
 
5.2%
9 8
 
4.6%
0 8
 
4.6%
4 8
 
4.6%
6 7
 
4.0%
Other values (6) 11
 
6.3%
Lowercase Letter
ValueCountFrequency (%)
a 9
17.6%
r 8
15.7%
n 4
7.8%
l 4
7.8%
i 4
7.8%
e 4
7.8%
o 4
7.8%
d 3
 
5.9%
s 3
 
5.9%
t 2
 
3.9%
Other values (6) 6
11.8%
Nonspacing Mark
ValueCountFrequency (%)
2407
29.4%
1243
15.2%
932
 
11.4%
804
 
9.8%
745
 
9.1%
745
 
9.1%
463
 
5.6%
388
 
4.7%
197
 
2.4%
118
 
1.4%
Other values (4) 155
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
H 3
12.0%
M 3
12.0%
T 3
12.0%
F 2
8.0%
C 2
8.0%
E 2
8.0%
P 2
8.0%
S 2
8.0%
A 2
8.0%
O 1
 
4.0%
Other values (3) 3
12.0%
Control
ValueCountFrequency (%)
62
95.4%
3
 
4.6%
Other Punctuation
ValueCountFrequency (%)
. 22
84.6%
, 4
 
15.4%
Space Separator
ValueCountFrequency (%)
884
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 479
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Private Use
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 50285
96.6%
Common 1707
 
3.3%
Latin 76
 
0.1%
Unknown 1
 
< 0.1%

Most frequent character per script

Thai
ValueCountFrequency (%)
4809
 
9.6%
4207
 
8.4%
3182
 
6.3%
2502
 
5.0%
2430
 
4.8%
2407
 
4.8%
2166
 
4.3%
1616
 
3.2%
1413
 
2.8%
1321
 
2.6%
Other values (61) 24232
48.2%
Latin
ValueCountFrequency (%)
a 9
 
11.8%
r 8
 
10.5%
n 4
 
5.3%
l 4
 
5.3%
i 4
 
5.3%
e 4
 
5.3%
o 4
 
5.3%
d 3
 
3.9%
s 3
 
3.9%
H 3
 
3.9%
Other values (19) 30
39.5%
Common
ValueCountFrequency (%)
884
51.8%
- 479
28.1%
62
 
3.6%
( 45
 
2.6%
1 45
 
2.6%
) 45
 
2.6%
2 23
 
1.3%
3 22
 
1.3%
5 22
 
1.3%
. 22
 
1.3%
Other values (8) 58
 
3.4%
Unknown
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Thai 50285
96.6%
ASCII 1783
 
3.4%
PUA 1
 
< 0.1%

Most frequent character per block

Thai
ValueCountFrequency (%)
4809
 
9.6%
4207
 
8.4%
3182
 
6.3%
2502
 
5.0%
2430
 
4.8%
2407
 
4.8%
2166
 
4.3%
1616
 
3.2%
1413
 
2.8%
1321
 
2.6%
Other values (61) 24232
48.2%
ASCII
ValueCountFrequency (%)
884
49.6%
- 479
26.9%
62
 
3.5%
( 45
 
2.5%
1 45
 
2.5%
) 45
 
2.5%
2 23
 
1.3%
3 22
 
1.2%
5 22
 
1.2%
. 22
 
1.2%
Other values (37) 134
 
7.5%
PUA
ValueCountFrequency (%)
1
100.0%
Distinct20
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2560.696
Minimum2548
Maximum2567
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.6 KiB
2026-08-19T07:28:02.533062image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2548
5-th percentile2551
Q12557
median2562
Q32565
95-th percentile2567
Maximum2567
Range19
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.046257367
Coefficient of variation (CV)0.001970658511
Kurtosis-0.5908820095
Mean2560.696
Median Absolute Deviation (MAD)3
Skewness-0.6740102134
Sum6721827
Variance25.46471341
MonotonicityIncreasing
2026-08-19T07:28:02.896701image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
2566 261
 
9.9%
2567 245
 
9.3%
2565 240
 
9.1%
2564 234
 
8.9%
2562 229
 
8.7%
2563 199
 
7.6%
2561 185
 
7.0%
2559 150
 
5.7%
2553 111
 
4.2%
2558 105
 
4.0%
Other values (10) 666
25.4%
ValueCountFrequency (%)
2548 32
 
1.2%
2549 9
 
0.3%
2550 51
1.9%
2551 63
2.4%
2552 85
3.2%
ValueCountFrequency (%)
2567 245
9.3%
2566 261
9.9%
2565 240
9.1%
2564 234
8.9%
2563 199
7.6%
Distinct10
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size20.6 KiB
2026-08-19T07:28:03.374111image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length34
Median length18
Mean length20.47580952
Min length4

Characters and Unicode

Total characters53749
Distinct characters36
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st rowรางวัลบริการภาครัฐ
2nd rowรางวัลบริการภาครัฐ
3rd rowรางวัลบริการภาครัฐ
4th rowรางวัลบริการภาครัฐ
5th rowรางวัลบริการภาครัฐ
ValueCountFrequency (%)
รางวัลบริการภาครัฐ 1579
59.9%
รางวัลการบริหารราชการแบบมีส่วนร่วม 628
 
23.8%
pmqa 321
 
12.2%
รางวัลคุณภาพการบริหารจัดการภาครัฐ 68
 
2.6%
เลิศรัฐยอดเยี่ยม 11
 
0.4%
เลิศรัฐ 11
 
0.4%
สาขา 11
 
0.4%
รางวัลเกียรติยศเลิศรัฐ 3
 
0.1%
เกียรติยศเลิศรัฐ 2
 
0.1%
รางวัลเกียรติยศ 1
 
< 0.1%
2026-08-19T07:28:04.265586image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11159
20.8%
8312
15.5%
4023
 
7.5%
3536
 
6.6%
3531
 
6.6%
2977
 
5.5%
2309
 
4.3%
2308
 
4.3%
2280
 
4.2%
1715
 
3.2%
Other values (26) 11599
21.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44136
82.1%
Nonspacing Mark 8314
 
15.5%
Uppercase Letter 1284
 
2.4%
Space Separator 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
11159
25.3%
8312
18.8%
3536
 
8.0%
3531
 
8.0%
2977
 
6.7%
2308
 
5.2%
2280
 
5.2%
1715
 
3.9%
1715
 
3.9%
1675
 
3.8%
Other values (16) 4928
11.2%
Nonspacing Mark
ValueCountFrequency (%)
4023
48.4%
2309
27.8%
1268
 
15.3%
646
 
7.8%
68
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
P 321
25.0%
M 321
25.0%
Q 321
25.0%
A 321
25.0%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 52450
97.6%
Latin 1284
 
2.4%
Common 15
 
< 0.1%

Most frequent character per script

Thai
ValueCountFrequency (%)
11159
21.3%
8312
15.8%
4023
 
7.7%
3536
 
6.7%
3531
 
6.7%
2977
 
5.7%
2309
 
4.4%
2308
 
4.4%
2280
 
4.3%
1715
 
3.3%
Other values (21) 10300
19.6%
Latin
ValueCountFrequency (%)
P 321
25.0%
M 321
25.0%
Q 321
25.0%
A 321
25.0%
Common
ValueCountFrequency (%)
15
100.0%

Most occurring blocks

ValueCountFrequency (%)
Thai 52450
97.6%
ASCII 1299
 
2.4%

Most frequent character per block

Thai
ValueCountFrequency (%)
11159
21.3%
8312
15.8%
4023
 
7.7%
3536
 
6.7%
3531
 
6.7%
2977
 
5.7%
2309
 
4.4%
2308
 
4.4%
2280
 
4.3%
1715
 
3.3%
Other values (21) 10300
19.6%
ASCII
ValueCountFrequency (%)
P 321
24.7%
M 321
24.7%
Q 321
24.7%
A 321
24.7%
15
 
1.2%
Distinct81
Distinct (%)3.1%
Missing5
Missing (%)0.2%
Memory size20.6 KiB
2026-08-19T07:28:05.043045image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length76
Median length71
Mean length21.53931298
Min length7

Characters and Unicode

Total characters56433
Distinct characters66
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)0.4%

Sample

1st rowภาพรวมกระบวนงาน
2nd rowรายกระบวนงานส่วนกลาง
3rd rowรายกระบวนงานส่วนกลาง
4th rowรายกระบวนงานส่วนกลาง
5th rowรายกระบวนงานส่วนกลาง
ValueCountFrequency (%)
พัฒนาการบริการ 300
 
10.4%
รายหมวด 250
 
8.7%
การพัฒนาการบริการที่เป็นเลิศ 198
 
6.9%
สัมฤทธิผลประชาชนมีส่วนร่วม 198
 
6.9%
นวัตกรรมการบริการ 176
 
6.1%
นวัตกรรมการให้บริการ 162
 
5.6%
รายกระบวนงาน 159
 
5.5%
4.0 136
 
4.7%
pmqa 100
 
3.5%
นวัตกรรมการบริการที่เป็นเลิศ 91
 
3.2%
Other values (67) 1116
38.7%
2026-08-19T07:28:06.312466image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8559
15.2%
6555
 
11.6%
4362
 
7.7%
3361
 
6.0%
2508
 
4.4%
2449
 
4.3%
2279
 
4.0%
2197
 
3.9%
1964
 
3.5%
1686
 
3.0%
Other values (56) 20513
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46408
82.2%
Nonspacing Mark 8644
 
15.3%
Space Separator 474
 
0.8%
Uppercase Letter 400
 
0.7%
Decimal Number 316
 
0.6%
Other Punctuation 189
 
0.3%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8559
18.4%
6555
14.1%
4362
 
9.4%
3361
 
7.2%
2508
 
5.4%
2279
 
4.9%
2197
 
4.7%
1302
 
2.8%
1208
 
2.6%
938
 
2.0%
Other values (29) 13139
28.3%
Nonspacing Mark
ValueCountFrequency (%)
2449
28.3%
1964
22.7%
1686
19.5%
808
 
9.3%
559
 
6.5%
400
 
4.6%
248
 
2.9%
204
 
2.4%
165
 
1.9%
161
 
1.9%
Decimal Number
ValueCountFrequency (%)
0 136
43.0%
4 136
43.0%
1 20
 
6.3%
9 20
 
6.3%
5 2
 
0.6%
2 1
 
0.3%
8 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
M 100
25.0%
A 100
25.0%
Q 100
25.0%
P 100
25.0%
Other Punctuation
ValueCountFrequency (%)
. 138
73.0%
/ 36
 
19.0%
* 15
 
7.9%
Space Separator
ValueCountFrequency (%)
474
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 55052
97.6%
Common 981
 
1.7%
Latin 400
 
0.7%

Most frequent character per script

Thai
ValueCountFrequency (%)
8559
15.5%
6555
 
11.9%
4362
 
7.9%
3361
 
6.1%
2508
 
4.6%
2449
 
4.4%
2279
 
4.1%
2197
 
4.0%
1964
 
3.6%
1686
 
3.1%
Other values (39) 19132
34.8%
Common
ValueCountFrequency (%)
474
48.3%
. 138
 
14.1%
0 136
 
13.9%
4 136
 
13.9%
/ 36
 
3.7%
1 20
 
2.0%
9 20
 
2.0%
* 15
 
1.5%
5 2
 
0.2%
( 1
 
0.1%
Other values (3) 3
 
0.3%
Latin
ValueCountFrequency (%)
M 100
25.0%
A 100
25.0%
Q 100
25.0%
P 100
25.0%

Most occurring blocks

ValueCountFrequency (%)
Thai 55052
97.6%
ASCII 1381
 
2.4%

Most frequent character per block

Thai
ValueCountFrequency (%)
8559
15.5%
6555
 
11.9%
4362
 
7.9%
3361
 
6.1%
2508
 
4.6%
2449
 
4.4%
2279
 
4.1%
2197
 
4.0%
1964
 
3.6%
1686
 
3.1%
Other values (39) 19132
34.8%
ASCII
ValueCountFrequency (%)
474
34.3%
. 138
 
10.0%
0 136
 
9.8%
4 136
 
9.8%
M 100
 
7.2%
A 100
 
7.2%
Q 100
 
7.2%
P 100
 
7.2%
/ 36
 
2.6%
1 20
 
1.4%
Other values (7) 41
 
3.0%
Distinct2089
Distinct (%)85.5%
Missing181
Missing (%)6.9%
Memory size20.6 KiB
2026-08-19T07:28:07.239316image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length262
Median length136
Mean length58.9185761
Min length1

Characters and Unicode

Total characters143997
Distinct characters164
Distinct categories19 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2016 ?
Unique (%)82.5%

Sample

1st rowกระบวนงานการจดทะเบียนไถ่ถอนจากจำนอง
2nd rowกระบวนการสงเคราะห์ครอบครัวผู้มีรายได้น้อยและไร้ที่พึ่ง
3rd rowกระบวนงานการรับคนพิการเข้าสถานสงเคราะห์ (กรณีเร่งด่วน)
4th rowกระบวนงานการรับเด็กเข้าบ้านพักเด็กและครอบครัว
5th rowการช่วยเหลือเด็กที่ได้รับผลกระทบจากปัญหาเอดส์
ValueCountFrequency (%)
หมวด 249
 
3.5%
193
 
2.7%
1 82
 
1.2%
ด้านการนำองค์การและความรับผิดชอบต่อสังคม 76
 
1.1%
3 65
 
0.9%
2 64
 
0.9%
ด้านการวางแผนยุทธศาสตร์และการสื่อสารเพื่อนำไปสู่การปฏิบัติ 59
 
0.8%
ด้านการมุ่งเน้นผู้รับบริการและผู้มีส่วนได้ส่วนเสีย 44
 
0.6%
smart 43
 
0.6%
4 38
 
0.5%
Other values (4570) 6143
87.1%
2026-08-19T07:28:08.663505image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11308
 
7.9%
10423
 
7.2%
6758
 
4.7%
6723
 
4.7%
4948
 
3.4%
4453
 
3.1%
4325
 
3.0%
4101
 
2.8%
4068
 
2.8%
4025
 
2.8%
Other values (154) 82865
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 103064
71.6%
Nonspacing Mark 23528
 
16.3%
Lowercase Letter 7186
 
5.0%
Space Separator 4953
 
3.4%
Uppercase Letter 2685
 
1.9%
Decimal Number 747
 
0.5%
Other Punctuation 584
 
0.4%
Open Punctuation 388
 
0.3%
Close Punctuation 386
 
0.3%
Dash Punctuation 244
 
0.2%
Other values (9) 232
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
11308
 
11.0%
10423
 
10.1%
6758
 
6.6%
6723
 
6.5%
4453
 
4.3%
4325
 
4.2%
4068
 
3.9%
3750
 
3.6%
3563
 
3.5%
3553
 
3.4%
Other values (42) 44140
42.8%
Lowercase Letter
ValueCountFrequency (%)
e 974
13.6%
a 654
9.1%
i 649
 
9.0%
r 613
 
8.5%
t 612
 
8.5%
n 560
 
7.8%
o 554
 
7.7%
l 337
 
4.7%
c 315
 
4.4%
s 290
 
4.0%
Other values (16) 1628
22.7%
Uppercase Letter
ValueCountFrequency (%)
S 331
12.3%
C 244
 
9.1%
T 199
 
7.4%
P 185
 
6.9%
A 178
 
6.6%
M 168
 
6.3%
E 159
 
5.9%
I 149
 
5.5%
D 140
 
5.2%
R 140
 
5.2%
Other values (16) 792
29.5%
Decimal Number
ValueCountFrequency (%)
2 174
23.3%
1 160
21.4%
5 81
10.8%
3 81
10.8%
4 70
9.4%
9 67
 
9.0%
0 44
 
5.9%
6 42
 
5.6%
8 13
 
1.7%
3
 
0.4%
Other values (7) 12
 
1.6%
Nonspacing Mark
ValueCountFrequency (%)
4101
17.4%
4025
17.1%
3808
16.2%
3248
13.8%
1812
7.7%
1662
7.1%
1565
 
6.7%
1400
 
6.0%
1200
 
5.1%
436
 
1.9%
Other values (4) 271
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 279
47.8%
: 199
34.1%
" 54
 
9.2%
/ 17
 
2.9%
@ 8
 
1.4%
, 8
 
1.4%
& 6
 
1.0%
4
 
0.7%
' 3
 
0.5%
! 3
 
0.5%
Other values (3) 3
 
0.5%
Space Separator
ValueCountFrequency (%)
4948
99.9%
  5
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 236
96.7%
8
 
3.3%
Final Punctuation
ValueCountFrequency (%)
67
98.5%
1
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 388
100.0%
Close Punctuation
ValueCountFrequency (%)
) 386
100.0%
Control
ValueCountFrequency (%)
83
100.0%
Initial Punctuation
ValueCountFrequency (%)
66
100.0%
Math Symbol
ValueCountFrequency (%)
+ 5
100.0%
Modifier Letter
ValueCountFrequency (%)
3
100.0%
Format
ValueCountFrequency (%)
3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Private Use
ValueCountFrequency (%)
1
100.0%
Other Symbol
ValueCountFrequency (%)
® 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 126607
87.9%
Latin 9871
 
6.9%
Common 7518
 
5.2%
Unknown 1
 
< 0.1%

Most frequent character per script

Thai
ValueCountFrequency (%)
11308
 
8.9%
10423
 
8.2%
6758
 
5.3%
6723
 
5.3%
4453
 
3.5%
4325
 
3.4%
4101
 
3.2%
4068
 
3.2%
4025
 
3.2%
3808
 
3.0%
Other values (64) 66615
52.6%
Latin
ValueCountFrequency (%)
e 974
 
9.9%
a 654
 
6.6%
i 649
 
6.6%
r 613
 
6.2%
t 612
 
6.2%
n 560
 
5.7%
o 554
 
5.6%
l 337
 
3.4%
S 331
 
3.4%
c 315
 
3.2%
Other values (42) 4272
43.3%
Common
ValueCountFrequency (%)
4948
65.8%
( 388
 
5.2%
) 386
 
5.1%
. 279
 
3.7%
- 236
 
3.1%
: 199
 
2.6%
2 174
 
2.3%
1 160
 
2.1%
83
 
1.1%
5 81
 
1.1%
Other values (27) 584
 
7.8%
Unknown
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Thai 126607
87.9%
ASCII 17234
 
12.0%
Punctuation 149
 
0.1%
None 6
 
< 0.1%
PUA 1
 
< 0.1%

Most frequent character per block

Thai
ValueCountFrequency (%)
11308
 
8.9%
10423
 
8.2%
6758
 
5.3%
6723
 
5.3%
4453
 
3.5%
4325
 
3.4%
4101
 
3.2%
4068
 
3.2%
4025
 
3.2%
3808
 
3.0%
Other values (64) 66615
52.6%
ASCII
ValueCountFrequency (%)
4948
28.7%
e 974
 
5.7%
a 654
 
3.8%
i 649
 
3.8%
r 613
 
3.6%
t 612
 
3.6%
n 560
 
3.2%
o 554
 
3.2%
( 388
 
2.3%
) 386
 
2.2%
Other values (71) 6896
40.0%
Punctuation
ValueCountFrequency (%)
67
45.0%
66
44.3%
8
 
5.4%
4
 
2.7%
3
 
2.0%
1
 
0.7%
None
ValueCountFrequency (%)
  5
83.3%
® 1
 
16.7%
PUA
ValueCountFrequency (%)
1
100.0%

ระดับ
Text

MISSING 

Distinct20
Distinct (%)0.8%
Missing227
Missing (%)8.6%
Memory size20.6 KiB
2026-08-19T07:28:09.457956image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length39
Median length33
Mean length5.364887406
Min length2

Characters and Unicode

Total characters12865
Distinct characters65
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st rowชมเชย
2nd rowชมเชย
3rd rowชมเชย
4th rowชมเชย
5th rowชมเชย
ValueCountFrequency (%)
ดี 902
35.4%
ดีเด่น 707
27.7%
ชมเชย 279
 
10.9%
ระดับดี 187
 
7.3%
advance 120
 
4.7%
ระดับดีเด่น 85
 
3.3%
ได้รับรางวัล 42
 
1.6%
300 38
 
1.5%
38
 
1.5%
399 38
 
1.5%
Other values (16) 112
 
4.4%
2026-08-19T07:28:10.427208image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3049
23.7%
1895
14.7%
1116
 
8.7%
853
 
6.6%
815
 
6.3%
558
 
4.3%
445
 
3.5%
435
 
3.4%
351
 
2.7%
330
 
2.6%
Other values (55) 3018
23.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8010
62.3%
Nonspacing Mark 3319
25.8%
Lowercase Letter 830
 
6.5%
Decimal Number 244
 
1.9%
Space Separator 176
 
1.4%
Uppercase Letter 154
 
1.2%
Close Punctuation 43
 
0.3%
Open Punctuation 43
 
0.3%
Dash Punctuation 38
 
0.3%
Other Punctuation 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3049
38.1%
1116
 
13.9%
853
 
10.6%
558
 
7.0%
435
 
5.4%
351
 
4.4%
330
 
4.1%
308
 
3.8%
302
 
3.8%
148
 
1.8%
Other values (23) 560
 
7.0%
Lowercase Letter
ValueCountFrequency (%)
c 140
16.9%
n 140
16.9%
e 130
15.7%
a 130
15.7%
v 120
14.5%
d 120
14.5%
i 30
 
3.6%
g 10
 
1.2%
f 10
 
1.2%
Decimal Number
ValueCountFrequency (%)
0 82
33.6%
3 76
31.1%
9 76
31.1%
4 6
 
2.5%
5 2
 
0.8%
2 1
 
0.4%
8 1
 
0.4%
Nonspacing Mark
ValueCountFrequency (%)
1895
57.1%
815
24.6%
445
 
13.4%
119
 
3.6%
44
 
1.3%
1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
A 126
81.8%
S 10
 
6.5%
P 6
 
3.9%
Q 6
 
3.9%
M 6
 
3.9%
Space Separator
ValueCountFrequency (%)
176
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Other Punctuation
ValueCountFrequency (%)
. 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 11329
88.1%
Latin 984
 
7.6%
Common 552
 
4.3%

Most frequent character per script

Thai
ValueCountFrequency (%)
3049
26.9%
1895
16.7%
1116
 
9.9%
853
 
7.5%
815
 
7.2%
558
 
4.9%
445
 
3.9%
435
 
3.8%
351
 
3.1%
330
 
2.9%
Other values (29) 1482
13.1%
Latin
ValueCountFrequency (%)
c 140
14.2%
n 140
14.2%
e 130
13.2%
a 130
13.2%
A 126
12.8%
v 120
12.2%
d 120
12.2%
i 30
 
3.0%
S 10
 
1.0%
g 10
 
1.0%
Other values (4) 28
 
2.8%
Common
ValueCountFrequency (%)
176
31.9%
0 82
14.9%
3 76
13.8%
9 76
13.8%
) 43
 
7.8%
( 43
 
7.8%
- 38
 
6.9%
. 8
 
1.4%
4 6
 
1.1%
5 2
 
0.4%
Other values (2) 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Thai 11329
88.1%
ASCII 1536
 
11.9%

Most frequent character per block

Thai
ValueCountFrequency (%)
3049
26.9%
1895
16.7%
1116
 
9.9%
853
 
7.5%
815
 
7.2%
558
 
4.9%
445
 
3.9%
435
 
3.8%
351
 
3.1%
330
 
2.9%
Other values (29) 1482
13.1%
ASCII
ValueCountFrequency (%)
176
11.5%
c 140
9.1%
n 140
9.1%
e 130
8.5%
a 130
8.5%
A 126
8.2%
v 120
7.8%
d 120
7.8%
0 82
 
5.3%
3 76
 
4.9%
Other values (16) 296
19.3%