Overview

Dataset statistics

Number of variables18
Number of observations9938
Missing cells69158
Missing cells (%)38.7%
Total size in memory1.4 MiB
Average record size in memory144.0 B

Variable types

Numeric2
Text16

Alerts

ประเภทส่วนราชการ has constant value ""Constant
หมายเหตุ has constant value ""Constant
องค์ประกอบ has 577 (5.8%) missing valuesMissing
ลำดับ has 695 (7.0%) missing valuesMissing
หน่วยวัด has 1311 (13.2%) missing valuesMissing
ลักษณะเป้าหมาย has 3706 (37.3%) missing valuesMissing
น้ำหนัก has 1786 (18.0%) missing valuesMissing
ประเภทตัวชี้วัด has 8346 (84.0%) missing valuesMissing
รอบการประเมิน has 5804 (58.4%) missing valuesMissing
ค่าเป้าหมายขั้นต้น has 7648 (77.0%) missing valuesMissing
ค่าเป้าหมายมาตรฐาน has 7648 (77.0%) missing valuesMissing
ค่าเป้าหมายขั้นสูง has 7648 (77.0%) missing valuesMissing
ผลการดำเนินงาน has 7649 (77.0%) missing valuesMissing
คะแนน has 7648 (77.0%) missing valuesMissing
หมายเหตุ has 8692 (87.5%) missing valuesMissing
น้ำหนัก has 493 (5.0%) zerosZeros

Reproduction

Analysis started2026-08-19 00:30:32.990522
Analysis finished2026-08-19 00:30:34.922982
Duration1.93 second
Software versionydata-profiling vv4.6.4
Download configurationconfig.json

Variables

ปีงบประมาณ
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2564.886899
Minimum2562
Maximum2567
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size77.8 KiB
2026-08-19T07:30:35.111599image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2562
5-th percentile2562
Q12563
median2565
Q32567
95-th percentile2567
Maximum2567
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.784925478
Coefficient of variation (CV)0.0006959080649
Kurtosis-1.337932081
Mean2564.886899
Median Absolute Deviation (MAD)2
Skewness-0.1989765452
Sum25489846
Variance3.185958963
MonotonicityIncreasing
2026-08-19T07:30:35.431266image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2567 2988
30.1%
2564 1542
15.5%
2565 1533
15.4%
2563 1483
14.9%
2562 1246
12.5%
2566 1146
 
11.5%
ValueCountFrequency (%)
2562 1246
12.5%
2563 1483
14.9%
2564 1542
15.5%
2565 1533
15.4%
2566 1146
11.5%
ValueCountFrequency (%)
2567 2988
30.1%
2566 1146
 
11.5%
2565 1533
15.4%
2564 1542
15.5%
2563 1483
14.9%

กระทรวง
Text

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size77.8 KiB
2026-08-19T07:30:35.972902image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length52
Median length42
Mean length22.08824713
Min length13

Characters and Unicode

Total characters219513
Distinct characters45
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

Unique0 ?
Unique (%)0.0%

Sample

1st rowกระทรวงการคลัง
2nd rowกระทรวงการคลัง
3rd rowกระทรวงการคลัง
4th rowกระทรวงการคลัง
5th rowกระทรวงการคลัง
ValueCountFrequency (%)
กระทรวงเกษตรและสหกรณ์ 2057
18.8%
สำนักนายกรัฐมนตรี 878
 
8.0%
กระทรวงทรัพยากรธรรมชาติและสิ่งแวดล้อม 645
 
5.9%
กระทรวงยุติธรรม 572
 
5.2%
กระทรวงการต่างประเทศ 567
 
5.2%
กระทรวงสาธารณสุข 525
 
4.8%
กระทรวงการคลัง 438
 
4.0%
กระทรวงพาณิชย์ 429
 
3.9%
กระทรวงมหาดไทย 428
 
3.9%
กระทรวงคมนาคม 426
 
3.9%
Other values (13) 3961
36.3%
2026-08-19T07:30:37.040256image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
ร 35594
16.2%
ก 21150
 
9.6%
ง 13929
 
6.3%
ะ 13376
 
6.1%
ว 12139
 
5.5%
ท 11986
 
5.5%
า 11497
 
5.2%
ม 7555
 
3.4%
ส 7016
 
3.2%
ั 6945
 
3.2%
Other values (35) 78326
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 195706
89.2%
Nonspacing Mark 22690
 
10.3%
Space Separator 994
 
0.5%
Control 123
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ร 35594
18.2%
ก 21150
 
10.8%
ง 13929
 
7.1%
ะ 13376
 
6.8%
ว 12139
 
6.2%
ท 11986
 
6.1%
า 11497
 
5.9%
ม 7555
 
3.9%
ส 7016
 
3.6%
น 6667
 
3.4%
Other values (24) 54797
28.0%
Nonspacing Mark
ValueCountFrequency (%)
ั 6945
30.6%
ิ 4016
17.7%
์ 3116
13.7%
่ 2916
12.9%
ุ 2083
 
9.2%
ี 1628
 
7.2%
ึ 717
 
3.2%
้ 645
 
2.8%
ื 624
 
2.8%
Space Separator
ValueCountFrequency (%)
994
100.0%
Control
ValueCountFrequency (%)
123
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 218396
99.5%
Common 1117
 
0.5%

Most frequent character per script

Thai
ValueCountFrequency (%)
ร 35594
16.3%
ก 21150
 
9.7%
ง 13929
 
6.4%
ะ 13376
 
6.1%
ว 12139
 
5.6%
ท 11986
 
5.5%
า 11497
 
5.3%
ม 7555
 
3.5%
ส 7016
 
3.2%
ั 6945
 
3.2%
Other values (33) 77209
35.4%
Common
ValueCountFrequency (%)
994
89.0%
123
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
Thai 218396
99.5%
ASCII 1117
 
0.5%

Most frequent character per block

Thai
ValueCountFrequency (%)
ร 35594
16.3%
ก 21150
 
9.7%
ง 13929
 
6.4%
ะ 13376
 
6.1%
ว 12139
 
5.6%
ท 11986
 
5.5%
า 11497
 
5.3%
ม 7555
 
3.5%
ส 7016
 
3.2%
ั 6945
 
3.2%
Other values (33) 77209
35.4%
ASCII
ValueCountFrequency (%)
994
89.0%
123
 
11.0%

หน่วยงาน
Text

Distinct156
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size77.8 KiB
2026-08-19T07:30:37.871587image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length78
Median length39
Mean length24.12879855
Min length8

Characters and Unicode

Total characters239792
Distinct characters59
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

Unique0 ?
Unique (%)0.0%

Sample

1st rowกรมธนารักษ์
2nd rowกรมธนารักษ์
3rd rowกรมธนารักษ์
4th rowกรมธนารักษ์
5th rowกรมธนารักษ์
ValueCountFrequency (%)
กรมส่งเสริมการเกษตร 155
 
1.5%
กรมชลประทาน 155
 
1.5%
สำนักงานมาตรฐานสินค้าเกษตรและอาหารแห่งชาติ 153
 
1.5%
กรมการข้าว 149
 
1.4%
กรมพัฒนาที่ดิน 145
 
1.4%
กรมตรวจบัญชีสหกรณ์ 140
 
1.4%
กรมปศุสัตว์ 136
 
1.3%
กรมประมง 135
 
1.3%
กรมหม่อนไหม 135
 
1.3%
สำนักงานเศรษฐกิจการเกษตร 132
 
1.3%
Other values (152) 8889
86.1%
2026-08-19T07:30:39.212630image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
ร 27056
 
11.3%
ก 22715
 
9.5%
า 21915
 
9.1%
น 15325
 
6.4%
ม 12018
 
5.0%
ง 11231
 
4.7%
ั 10573
 
4.4%
ส 9833
 
4.1%
ิ 7233
 
3.0%
ะ 6179
 
2.6%
Other values (49) 95714
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 207094
86.4%
Nonspacing Mark 32312
 
13.5%
Space Separator 386
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ร 27056
 
13.1%
ก 22715
 
11.0%
า 21915
 
10.6%
น 15325
 
7.4%
ม 12018
 
5.8%
ง 11231
 
5.4%
ส 9833
 
4.7%
ะ 6179
 
3.0%
ล 5868
 
2.8%
ท 4976
 
2.4%
Other values (37) 69978
33.8%
Nonspacing Mark
ValueCountFrequency (%)
ั 10573
32.7%
ิ 7233
22.4%
่ 3873
 
12.0%
้ 2462
 
7.6%
ุ 2399
 
7.4%
ี 1789
 
5.5%
์ 1783
 
5.5%
ื 999
 
3.1%
ึ 574
 
1.8%
ู 510
 
1.6%
Space Separator
ValueCountFrequency (%)
386
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 239406
99.8%
Common 386
 
0.2%

Most frequent character per script

Thai
ValueCountFrequency (%)
ร 27056
 
11.3%
ก 22715
 
9.5%
า 21915
 
9.2%
น 15325
 
6.4%
ม 12018
 
5.0%
ง 11231
 
4.7%
ั 10573
 
4.4%
ส 9833
 
4.1%
ิ 7233
 
3.0%
ะ 6179
 
2.6%
Other values (48) 95328
39.8%
Common
ValueCountFrequency (%)
386
100.0%

Most occurring blocks

ValueCountFrequency (%)
Thai 239406
99.8%
ASCII 386
 
0.2%

Most frequent character per block

Thai
ValueCountFrequency (%)
ร 27056
 
11.3%
ก 22715
 
9.5%
า 21915
 
9.2%
น 15325
 
6.4%
ม 12018
 
5.0%
ง 11231
 
4.7%
ั 10573
 
4.4%
ส 9833
 
4.1%
ิ 7233
 
3.0%
ะ 6179
 
2.6%
Other values (48) 95328
39.8%
ASCII
ValueCountFrequency (%)
386
100.0%

ประเภทส่วนราชการ
Text

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size77.8 KiB
2026-08-19T07:30:39.776223image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length31
Median length31
Mean length31
Min length31

Characters and Unicode

Total characters308078
Distinct characters20
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 rowส่วนราชการระดับกรมหรือเทียบเท่า
2nd rowส่วนราชการระดับกรมหรือเทียบเท่า
3rd rowส่วนราชการระดับกรมหรือเทียบเท่า
4th rowส่วนราชการระดับกรมหรือเทียบเท่า
5th rowส่วนราชการระดับกรมหรือเทียบเท่า
ValueCountFrequency (%)
ส่วนราชการระดับกรมหรือเทียบเท่า 9938
100.0%
2026-08-19T07:30:40.599385image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
ร 49690
16.1%
า 29814
 
9.7%
ท 19876
 
6.5%
เ 19876
 
6.5%
ก 19876
 
6.5%
่ 19876
 
6.5%
บ 19876
 
6.5%
ส 9938
 
3.2%
ห 9938
 
3.2%
ี 9938
 
3.2%
Other values (10) 99380
32.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 258388
83.9%
Nonspacing Mark 49690
 
16.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ร 49690
19.2%
า 29814
11.5%
ท 19876
 
7.7%
เ 19876
 
7.7%
ก 19876
 
7.7%
บ 19876
 
7.7%
ส 9938
 
3.8%
ห 9938
 
3.8%
อ 9938
 
3.8%
ม 9938
 
3.8%
Other values (6) 59628
23.1%
Nonspacing Mark
ValueCountFrequency (%)
่ 19876
40.0%
ี 9938
20.0%
ื 9938
20.0%
ั 9938
20.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 308078
100.0%

Most frequent character per script

Thai
ValueCountFrequency (%)
ร 49690
16.1%
า 29814
 
9.7%
ท 19876
 
6.5%
เ 19876
 
6.5%
ก 19876
 
6.5%
่ 19876
 
6.5%
บ 19876
 
6.5%
ส 9938
 
3.2%
ห 9938
 
3.2%
ี 9938
 
3.2%
Other values (10) 99380
32.3%

Most occurring blocks

ValueCountFrequency (%)
Thai 308078
100.0%

Most frequent character per block

Thai
ValueCountFrequency (%)
ร 49690
16.1%
า 29814
 
9.7%
ท 19876
 
6.5%
เ 19876
 
6.5%
ก 19876
 
6.5%
่ 19876
 
6.5%
บ 19876
 
6.5%
ส 9938
 
3.2%
ห 9938
 
3.2%
ี 9938
 
3.2%
Other values (10) 99380
32.3%

องค์ประกอบ
Text

MISSING 

Distinct95
Distinct (%)1.0%
Missing577
Missing (%)5.8%
Memory size77.8 KiB
2026-08-19T07:30:41.030068image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length45
Median length16
Mean length15.22241214
Min length4

Characters and Unicode

Total characters142497
Distinct characters36
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

Unique27 ?
Unique (%)0.3%

Sample

1st rowAgenda Base
2nd rowAgenda Base
3rd rowFunction Base
4th rowFunction Base
5th rowInnovation Base
ValueCountFrequency (%)
base 8456
45.3%
performance 4674
25.1%
potential 2999
 
16.1%
function 1113
 
6.0%
agenda 715
 
3.8%
innovation 271
 
1.5%
other 152
 
0.8%
area 104
 
0.6%
function+potential 53
 
0.3%
function+agenda+potential 20
 
0.1%
Other values (16) 92
 
0.5%
2026-08-19T07:30:41.933973image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 20852
14.6%
a 16331
11.5%
r 9348
 
6.6%
n 9343
 
6.6%
8495
 
6.0%
B 8456
 
5.9%
s 8456
 
5.9%
o 8250
 
5.8%
P 7785
 
5.5%
t 6112
 
4.3%
Other values (26) 39069
27.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 100859
70.8%
Uppercase Letter 31268
 
21.9%
Space Separator 8495
 
6.0%
Math Symbol 1021
 
0.7%
Control 854
 
0.6%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
B 8456
27.0%
P 7785
24.9%
N 2613
 
8.4%
A 2052
 
6.6%
T 1794
 
5.7%
I 1531
 
4.9%
O 1531
 
4.9%
F 1220
 
3.9%
E 1130
 
3.6%
U 639
 
2.0%
Other values (7) 2517
 
8.0%
Lowercase Letter
ValueCountFrequency (%)
e 20852
20.7%
a 16331
16.2%
r 9348
9.3%
n 9343
9.3%
s 8456
8.4%
o 8250
 
8.2%
t 6112
 
6.1%
c 5255
 
5.2%
m 4674
 
4.6%
f 4674
 
4.6%
Other values (6) 7564
 
7.5%
Space Separator
ValueCountFrequency (%)
8495
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1021
100.0%
Control
ValueCountFrequency (%)
854
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 132127
92.7%
Common 10370
 
7.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 20852
15.8%
a 16331
12.4%
r 9348
 
7.1%
n 9343
 
7.1%
B 8456
 
6.4%
s 8456
 
6.4%
o 8250
 
6.2%
P 7785
 
5.9%
t 6112
 
4.6%
c 5255
 
4.0%
Other values (23) 31939
24.2%
Common
ValueCountFrequency (%)
8495
81.9%
+ 1021
 
9.8%
854
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 142497
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 20852
14.6%
a 16331
11.5%
r 9348
 
6.6%
n 9343
 
6.6%
8495
 
6.0%
B 8456
 
5.9%
s 8456
 
5.9%
o 8250
 
5.8%
P 7785
 
5.5%
t 6112
 
4.3%
Other values (26) 39069
27.4%

ลำดับ
Text

MISSING 

Distinct185
Distinct (%)2.0%
Missing695
Missing (%)7.0%
Memory size77.8 KiB
2026-08-19T07:30:42.763804image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length7
Median length1
Mean length1.5896354
Min length1

Characters and Unicode

Total characters14693
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

Unique44 ?
Unique (%)0.5%

Sample

1st row1
2nd row2
3rd row1
4th row2
5th row1
ValueCountFrequency (%)
1 1576
17.1%
2 1242
13.4%
3 934
10.1%
4 883
9.6%
5 811
8.8%
6 616
 
6.7%
7 440
 
4.8%
8 321
 
3.5%
9 242
 
2.6%
1.1 182
 
2.0%
Other values (175) 1996
21.6%
2026-08-19T07:30:43.978437image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 3351
22.8%
2 2605
17.7%
. 2563
17.4%
3 1779
12.1%
4 1551
10.6%
5 1012
 
6.9%
6 668
 
4.5%
7 461
 
3.1%
8 327
 
2.2%
9 245
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12130
82.6%
Other Punctuation 2563
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3351
27.6%
2 2605
21.5%
3 1779
14.7%
4 1551
12.8%
5 1012
 
8.3%
6 668
 
5.5%
7 461
 
3.8%
8 327
 
2.7%
9 245
 
2.0%
0 131
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 2563
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14693
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3351
22.8%
2 2605
17.7%
. 2563
17.4%
3 1779
12.1%
4 1551
10.6%
5 1012
 
6.9%
6 668
 
4.5%
7 461
 
3.1%
8 327
 
2.2%
9 245
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14693
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3351
22.8%
2 2605
17.7%
. 2563
17.4%
3 1779
12.1%
4 1551
10.6%
5 1012
 
6.9%
6 668
 
4.5%
7 461
 
3.1%
8 327
 
2.2%
9 245
 
1.7%

ชื่อตัวชี้วัด
Text

Distinct3458
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Memory size77.8 KiB
2026-08-19T07:30:44.542463image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length253
Median length214
Mean length71.40712417
Min length3

Characters and Unicode

Total characters709644
Distinct characters155
Distinct categories18 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2122 ?
Unique (%)21.4%

Sample

1st rowระดับความสำเร็จของการดำเนินการโครงการ “บ้านคนไทยประชารัฐ”
2nd rowการชี้แจงประเด็นสำคัญที่ทันต่อสถานการณ์
3rd rowรายได้ที่จัดเก็บได้จากการบริหารที่ราชพัสดุ
4th rowจำนวนแปลงที่ดินที่ได้รับการประเมิน
5th rowร้อยละของคู่มือสำหรับประชาชน ตาม พ.ร.บ.การอำนวยความสะดวกฯ ที่ส่วนราชการสามารถ ลดระยะเวลาได้ไม่น้อยกว่าร้อยละ 30
ValueCountFrequency (%)
4.0 1551
 
5.9%
pmqa 769
 
2.9%
data 604
 
2.3%
catalog 542
 
2.1%
524
 
2.0%
การพัฒนาองค์การสู่ดิจิทัล 492
 
1.9%
การประเมินสถานะของหน่วยงานในการเป็นระบบราชการ 459
 
1.8%
covid-19 346
 
1.3%
พ.ศ 332
 
1.3%
คะแนนการประเมินสถานะของหน่วยงานในการเป็นระบบราชการ 310
 
1.2%
Other values (5364) 20245
77.3%
2026-08-19T07:30:45.768533image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
ร 57234
 
8.1%
า 55565
 
7.8%
น 38168
 
5.4%
ก 30028
 
4.2%
อ 24681
 
3.5%
ง 22185
 
3.1%
ม 21950
 
3.1%
ั 20730
 
2.9%
เ 18908
 
2.7%
ล 18273
 
2.6%
Other values (145) 401922
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 531908
75.0%
Nonspacing Mark 107361
 
15.1%
Lowercase Letter 17724
 
2.5%
Space Separator 16312
 
2.3%
Uppercase Letter 11455
 
1.6%
Decimal Number 9169
 
1.3%
Close Punctuation 4781
 
0.7%
Open Punctuation 4778
 
0.7%
Other Punctuation 4661
 
0.7%
Dash Punctuation 1100
 
0.2%
Other values (8) 395
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ร 57234
 
10.8%
า 55565
 
10.4%
น 38168
 
7.2%
ก 30028
 
5.6%
อ 24681
 
4.6%
ง 22185
 
4.2%
ม 21950
 
4.1%
เ 18908
 
3.6%
ล 18273
 
3.4%
ะ 18153
 
3.4%
Other values (41) 226763
42.6%
Uppercase Letter
ValueCountFrequency (%)
D 1616
14.1%
M 1222
10.7%
C 1189
10.4%
P 1155
10.1%
A 1147
10.0%
O 805
7.0%
Q 776
6.8%
I 763
6.7%
G 501
 
4.4%
S 496
 
4.3%
Other values (16) 1785
15.6%
Lowercase Letter
ValueCountFrequency (%)
a 3248
18.3%
t 2194
12.4%
e 1939
10.9%
o 1409
7.9%
n 1241
 
7.0%
i 1174
 
6.6%
r 1017
 
5.7%
g 966
 
5.5%
l 925
 
5.2%
s 636
 
3.6%
Other values (15) 2975
16.8%
Nonspacing Mark
ValueCountFrequency (%)
ั 20730
19.3%
่ 18251
17.0%
้ 17745
16.5%
ิ 16892
15.7%
ี 10376
9.7%
ู 5164
 
4.8%
ุ 4917
 
4.6%
็ 4285
 
4.0%
ื 4013
 
3.7%
์ 3372
 
3.1%
Other values (4) 1616
 
1.5%
Decimal Number
ValueCountFrequency (%)
0 1901
20.7%
4 1783
19.4%
1 1721
18.8%
2 1235
13.5%
9 769
8.4%
5 718
 
7.8%
6 473
 
5.2%
3 411
 
4.5%
7 84
 
0.9%
8 68
 
0.7%
Other values (3) 6
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 3791
81.3%
: 518
 
11.1%
/ 264
 
5.7%
* 43
 
0.9%
, 28
 
0.6%
" 6
 
0.1%
& 5
 
0.1%
… 3
 
0.1%
% 2
 
< 0.1%
; 1
 
< 0.1%
Control
ValueCountFrequency (%)
159
58.5%
112
41.2%
1
 
0.4%
Space Separator
ValueCountFrequency (%)
16311
> 99.9%
  1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 1037
94.3%
– 63
 
5.7%
Close Punctuation
ValueCountFrequency (%)
) 4781
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4778
100.0%
Modifier Letter
ValueCountFrequency (%)
ๆ 47
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 28
100.0%
Final Punctuation
ValueCountFrequency (%)
” 21
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 19
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Format
ValueCountFrequency (%)
​ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 639322
90.1%
Common 41143
 
5.8%
Latin 29179
 
4.1%

Most frequent character per script

Thai
ValueCountFrequency (%)
ร 57234
 
9.0%
า 55565
 
8.7%
น 38168
 
6.0%
ก 30028
 
4.7%
อ 24681
 
3.9%
ง 22185
 
3.5%
ม 21950
 
3.4%
ั 20730
 
3.2%
เ 18908
 
3.0%
ล 18273
 
2.9%
Other values (59) 331600
51.9%
Latin
ValueCountFrequency (%)
a 3248
 
11.1%
t 2194
 
7.5%
e 1939
 
6.6%
D 1616
 
5.5%
o 1409
 
4.8%
n 1241
 
4.3%
M 1222
 
4.2%
C 1189
 
4.1%
i 1174
 
4.0%
P 1155
 
4.0%
Other values (41) 12792
43.8%
Common
ValueCountFrequency (%)
16311
39.6%
) 4781
 
11.6%
( 4778
 
11.6%
. 3791
 
9.2%
0 1901
 
4.6%
4 1783
 
4.3%
1 1721
 
4.2%
2 1235
 
3.0%
- 1037
 
2.5%
9 769
 
1.9%
Other values (25) 3036
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Thai 639322
90.1%
ASCII 70214
 
9.9%
Punctuation 107
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Thai
ValueCountFrequency (%)
ร 57234
 
9.0%
า 55565
 
8.7%
น 38168
 
6.0%
ก 30028
 
4.7%
อ 24681
 
3.9%
ง 22185
 
3.5%
ม 21950
 
3.4%
ั 20730
 
3.2%
เ 18908
 
3.0%
ล 18273
 
2.9%
Other values (59) 331600
51.9%
ASCII
ValueCountFrequency (%)
16311
23.2%
) 4781
 
6.8%
( 4778
 
6.8%
. 3791
 
5.4%
a 3248
 
4.6%
t 2194
 
3.1%
e 1939
 
2.8%
0 1901
 
2.7%
4 1783
 
2.5%
1 1721
 
2.5%
Other values (70) 27767
39.5%
Punctuation
ValueCountFrequency (%)
– 63
58.9%
” 21
 
19.6%
“ 19
 
17.8%
… 3
 
2.8%
​ 1
 
0.9%
None
ValueCountFrequency (%)
  1
100.0%

หน่วยวัด
Text

MISSING 

Distinct316
Distinct (%)3.7%
Missing1311
Missing (%)13.2%
Memory size77.8 KiB
2026-08-19T07:30:46.646172image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length41
Median length6
Mean length6.457517097
Min length2

Characters and Unicode

Total characters55709
Distinct characters93
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique157 ?
Unique (%)1.8%

Sample

1st rowคะแนน
2nd rowล้านบาท
3rd rowแปลง
4th rowคะแนน
5th rowร้อยละ
ValueCountFrequency (%)
ร้อยละ 2755
29.9%
คะแนน 2193
23.8%
ผลผลิต 1299
14.1%
pillar 264
 
2.9%
ล้านบาท 251
 
2.7%
245
 
2.7%
อันดับ 165
 
1.8%
คะแนนบรรยาย 153
 
1.7%
บทความ 152
 
1.7%
ราย 83
 
0.9%
Other values (252) 1640
17.8%
2026-08-19T07:30:47.996130image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
ล 6145
 
11.0%
น 5914
 
10.6%
ะ 5314
 
9.5%
ร 4319
 
7.8%
อ 3395
 
6.1%
้ 3362
 
6.0%
ย 3319
 
6.0%
ค 2912
 
5.2%
ผ 2799
 
5.0%
แ 2525
 
4.5%
Other values (83) 15705
28.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45345
81.4%
Nonspacing Mark 6965
 
12.5%
Lowercase Letter 1784
 
3.2%
Space Separator 583
 
1.0%
Uppercase Letter 410
 
0.7%
Math Symbol 351
 
0.6%
Other Punctuation 186
 
0.3%
Decimal Number 73
 
0.1%
Dash Punctuation 10
 
< 0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ล 6145
13.6%
น 5914
13.0%
ะ 5314
11.7%
ร 4319
9.5%
อ 3395
7.5%
ย 3319
7.3%
ค 2912
6.4%
ผ 2799
 
6.2%
แ 2525
 
5.6%
ต 1690
 
3.7%
Other values (34) 7013
15.5%
Lowercase Letter
ValueCountFrequency (%)
l 642
36.0%
i 332
18.6%
a 323
18.1%
r 310
17.4%
t 45
 
2.5%
e 36
 
2.0%
o 26
 
1.5%
q 19
 
1.1%
k 14
 
0.8%
n 13
 
0.7%
Other values (6) 24
 
1.3%
Nonspacing Mark
ValueCountFrequency (%)
้ 3362
48.3%
ิ 1577
22.6%
ั 868
 
12.5%
่ 522
 
7.5%
ื 192
 
2.8%
ี 168
 
2.4%
็ 96
 
1.4%
ุ 70
 
1.0%
์ 56
 
0.8%
ู 50
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
P 310
75.6%
M 25
 
6.1%
C 23
 
5.6%
B 22
 
5.4%
O 19
 
4.6%
V 6
 
1.5%
S 2
 
0.5%
A 2
 
0.5%
K 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 27
37.0%
0 25
34.2%
2 19
26.0%
5 1
 
1.4%
9 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
/ 169
90.9%
. 16
 
8.6%
, 1
 
0.5%
Space Separator
ValueCountFrequency (%)
583
100.0%
Math Symbol
ValueCountFrequency (%)
+ 351
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 52310
93.9%
Latin 2194
 
3.9%
Common 1205
 
2.2%

Most frequent character per script

Thai
ValueCountFrequency (%)
ล 6145
11.7%
น 5914
11.3%
ะ 5314
10.2%
ร 4319
 
8.3%
อ 3395
 
6.5%
้ 3362
 
6.4%
ย 3319
 
6.3%
ค 2912
 
5.6%
ผ 2799
 
5.4%
แ 2525
 
4.8%
Other values (45) 12306
23.5%
Latin
ValueCountFrequency (%)
l 642
29.3%
i 332
15.1%
a 323
14.7%
P 310
14.1%
r 310
14.1%
t 45
 
2.1%
e 36
 
1.6%
o 26
 
1.2%
M 25
 
1.1%
C 23
 
1.0%
Other values (15) 122
 
5.6%
Common
ValueCountFrequency (%)
583
48.4%
+ 351
29.1%
/ 169
 
14.0%
1 27
 
2.2%
0 25
 
2.1%
2 19
 
1.6%
. 16
 
1.3%
- 10
 
0.8%
1
 
0.1%
) 1
 
0.1%
Other values (3) 3
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Thai 52310
93.9%
ASCII 3399
 
6.1%

Most frequent character per block

Thai
ValueCountFrequency (%)
ล 6145
11.7%
น 5914
11.3%
ะ 5314
10.2%
ร 4319
 
8.3%
อ 3395
 
6.5%
้ 3362
 
6.4%
ย 3319
 
6.3%
ค 2912
 
5.6%
ผ 2799
 
5.4%
แ 2525
 
4.8%
Other values (45) 12306
23.5%
ASCII
ValueCountFrequency (%)
l 642
18.9%
583
17.2%
+ 351
10.3%
i 332
9.8%
a 323
9.5%
P 310
9.1%
r 310
9.1%
/ 169
 
5.0%
t 45
 
1.3%
e 36
 
1.1%
Other values (28) 298
8.8%

ลักษณะเป้าหมาย
Text

MISSING 

Distinct14
Distinct (%)0.2%
Missing3706
Missing (%)37.3%
Memory size77.8 KiB
2026-08-19T07:30:48.449775image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length22
Median length6
Mean length6.083279846
Min length3

Characters and Unicode

Total characters37911
Distinct characters26
Distinct categories5 ?
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 rowขั้นตอน
2nd rowบรรยาย
3rd rowปริมาณ
4th rowปริมาณ
5th rowบรรยาย
ValueCountFrequency (%)
ปริมาณ 4594
73.6%
ขั้นตอน 859
 
13.8%
บรรยาย 611
 
9.8%
ผสม 155
 
2.5%
แบบผสม 6
 
0.1%
5
 
0.1%
ไม่ต่อเนื่อง 5
 
0.1%
ปริมาณ+ขั้นตอน 3
 
< 0.1%
ปริิมาณ 2
 
< 0.1%
สะสม 1
 
< 0.1%
2026-08-19T07:30:49.266089image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
ร 5821
15.4%
า 5210
13.7%
ม 4766
12.6%
ิ 4601
12.1%
ป 4599
12.1%
ณ 4599
12.1%
น 1733
 
4.6%
ย 1222
 
3.2%
อ 874
 
2.3%
ต 869
 
2.3%
Other values (16) 3617
9.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31526
83.2%
Nonspacing Mark 6349
 
16.7%
Space Separator 27
 
0.1%
Dash Punctuation 5
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ร 5821
18.5%
า 5210
16.5%
ม 4766
15.1%
ป 4599
14.6%
ณ 4599
14.6%
น 1733
 
5.5%
ย 1222
 
3.9%
อ 874
 
2.8%
ต 869
 
2.8%
ข 864
 
2.7%
Other values (8) 969
 
3.1%
Nonspacing Mark
ValueCountFrequency (%)
ิ 4601
72.5%
้ 864
 
13.6%
ั 864
 
13.6%
่ 15
 
0.2%
ื 5
 
0.1%
Space Separator
ValueCountFrequency (%)
27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 37875
99.9%
Common 36
 
0.1%

Most frequent character per script

Thai
ValueCountFrequency (%)
ร 5821
15.4%
า 5210
13.8%
ม 4766
12.6%
ิ 4601
12.1%
ป 4599
12.1%
ณ 4599
12.1%
น 1733
 
4.6%
ย 1222
 
3.2%
อ 874
 
2.3%
ต 869
 
2.3%
Other values (13) 3581
9.5%
Common
ValueCountFrequency (%)
27
75.0%
- 5
 
13.9%
+ 4
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Thai 37875
99.9%
ASCII 36
 
0.1%

Most frequent character per block

Thai
ValueCountFrequency (%)
ร 5821
15.4%
า 5210
13.8%
ม 4766
12.6%
ิ 4601
12.1%
ป 4599
12.1%
ณ 4599
12.1%
น 1733
 
4.6%
ย 1222
 
3.2%
อ 874
 
2.3%
ต 869
 
2.3%
Other values (13) 3581
9.5%
ASCII
ValueCountFrequency (%)
27
75.0%
- 5
 
13.9%
+ 4
 
11.1%

น้ำหนัก
Real number (ℝ)

MISSING  ZEROS 

Distinct76
Distinct (%)0.9%
Missing1786
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean11.90298086
Minimum0
Maximum70
Zeros493
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size77.8 KiB
2026-08-19T07:30:49.654555image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median10
Q315
95-th percentile25
Maximum70
Range70
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.378498615
Coefficient of variation (CV)0.7038991922
Kurtosis3.348749732
Mean11.90298086
Median Absolute Deviation (MAD)5
Skewness0.9998940919
Sum97033.1
Variance70.19923903
MonotonicityNot monotonic
2026-08-19T07:30:50.079435image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 1935
19.5%
10 1696
17.1%
20 983
9.9%
5 939
9.4%
0 493
 
5.0%
25 448
 
4.5%
0.75 300
 
3.0%
30 172
 
1.7%
0.5 141
 
1.4%
2.5 135
 
1.4%
Other values (66) 910
9.2%
(Missing) 1786
18.0%
ValueCountFrequency (%)
0 493
5.0%
0.5 141
 
1.4%
0.7 2
 
< 0.1%
0.75 300
3.0%
0.8 38
 
0.4%
ValueCountFrequency (%)
70 10
0.1%
60 1
 
< 0.1%
55 1
 
< 0.1%
52.5 4
 
< 0.1%
50 6
0.1%

ประเภทตัวชี้วัด
Text

MISSING 

Distinct3
Distinct (%)0.2%
Missing8346
Missing (%)84.0%
Memory size77.8 KiB
2026-08-19T07:30:50.462610image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters7960
Distinct characters7
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 rowSKPIs
2nd rowFKPIs
3rd rowFKPIs
4th rowJKPIs
5th rowFKPIs
ValueCountFrequency (%)
fkpis 1004
63.1%
jkpis 326
 
20.5%
skpis 262
 
16.5%
2026-08-19T07:30:51.175527image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
K 1592
20.0%
P 1592
20.0%
I 1592
20.0%
s 1592
20.0%
F 1004
12.6%
J 326
 
4.1%
S 262
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 6368
80.0%
Lowercase Letter 1592
 
20.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
K 1592
25.0%
P 1592
25.0%
I 1592
25.0%
F 1004
15.8%
J 326
 
5.1%
S 262
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
s 1592
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7960
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
K 1592
20.0%
P 1592
20.0%
I 1592
20.0%
s 1592
20.0%
F 1004
12.6%
J 326
 
4.1%
S 262
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7960
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
K 1592
20.0%
P 1592
20.0%
I 1592
20.0%
s 1592
20.0%
F 1004
12.6%
J 326
 
4.1%
S 262
 
3.3%

รอบการประเมิน
Text

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing5804
Missing (%)58.4%
Memory size77.8 KiB
2026-08-19T07:30:51.526061image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.638848573
Min length7

Characters and Unicode

Total characters31579
Distinct characters9
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

Unique0 ?
Unique (%)0.0%

Sample

1st row12 เดือน
2nd row12 เดือน
3rd row12 เดือน
4th row12 เดือน
5th row12 เดือน
ValueCountFrequency (%)
เดือน 4134
50.0%
12 2641
31.9%
6 1493
 
18.1%
2026-08-19T07:30:52.186897image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4134
13.1%
เ 4134
13.1%
ด 4134
13.1%
ื 4134
13.1%
อ 4134
13.1%
น 4134
13.1%
1 2641
8.4%
2 2641
8.4%
6 1493
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16536
52.4%
Decimal Number 6775
21.5%
Space Separator 4134
 
13.1%
Nonspacing Mark 4134
 
13.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
เ 4134
25.0%
ด 4134
25.0%
อ 4134
25.0%
น 4134
25.0%
Decimal Number
ValueCountFrequency (%)
1 2641
39.0%
2 2641
39.0%
6 1493
22.0%
Space Separator
ValueCountFrequency (%)
4134
100.0%
Nonspacing Mark
ValueCountFrequency (%)
ื 4134
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 20670
65.5%
Common 10909
34.5%

Most frequent character per script

Thai
ValueCountFrequency (%)
เ 4134
20.0%
ด 4134
20.0%
ื 4134
20.0%
อ 4134
20.0%
น 4134
20.0%
Common
ValueCountFrequency (%)
4134
37.9%
1 2641
24.2%
2 2641
24.2%
6 1493
 
13.7%

Most occurring blocks

ValueCountFrequency (%)
Thai 20670
65.5%
ASCII 10909
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4134
37.9%
1 2641
24.2%
2 2641
24.2%
6 1493
 
13.7%
Thai
ValueCountFrequency (%)
เ 4134
20.0%
ด 4134
20.0%
ื 4134
20.0%
อ 4134
20.0%
น 4134
20.0%

ค่าเป้าหมายขั้นต้น
Text

MISSING 

Distinct589
Distinct (%)25.7%
Missing7648
Missing (%)77.0%
Memory size77.8 KiB
2026-08-19T07:30:53.012144image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length17
Median length16
Mean length2.614847162
Min length1

Characters and Unicode

Total characters5988
Distinct characters17
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

Unique462 ?
Unique (%)20.2%

Sample

1st row5347.5
2nd row3
3rd row1
4th row4
5th row1
ValueCountFrequency (%)
1 595
25.1%
50 247
 
10.4%
445 79
 
3.3%
400 72
 
3.0%
2 70
 
3.0%
80 63
 
2.7%
3 58
 
2.4%
6 57
 
2.4%
5 51
 
2.2%
4 44
 
1.9%
Other values (568) 1033
43.6%
2026-08-19T07:30:54.281890image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 973
16.2%
1 934
15.6%
5 755
12.6%
4 619
10.3%
. 493
8.2%
2 441
7.4%
3 374
 
6.2%
6 359
 
6.0%
8 315
 
5.3%
7 314
 
5.2%
Other values (7) 411
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5325
88.9%
Other Punctuation 497
 
8.3%
Space Separator 92
 
1.5%
Math Symbol 71
 
1.2%
Dash Punctuation 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 973
18.3%
1 934
17.5%
5 755
14.2%
4 619
11.6%
2 441
8.3%
3 374
 
7.0%
6 359
 
6.7%
8 315
 
5.9%
7 314
 
5.9%
9 241
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 493
99.2%
, 3
 
0.6%
/ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
92
100.0%
Math Symbol
ValueCountFrequency (%)
+ 71
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5987
> 99.9%
Latin 1
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 973
16.3%
1 934
15.6%
5 755
12.6%
4 619
10.3%
. 493
8.2%
2 441
7.4%
3 374
 
6.2%
6 359
 
6.0%
8 315
 
5.3%
7 314
 
5.2%
Other values (6) 410
6.8%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5988
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 973
16.2%
1 934
15.6%
5 755
12.6%
4 619
10.3%
. 493
8.2%
2 441
7.4%
3 374
 
6.2%
6 359
 
6.0%
8 315
 
5.3%
7 314
 
5.2%
Other values (7) 411
6.9%

ค่าเป้าหมายมาตรฐาน
Text

MISSING 

Distinct750
Distinct (%)32.8%
Missing7648
Missing (%)77.0%
Memory size77.8 KiB
2026-08-19T07:30:55.452012image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length21
Median length17
Mean length2.890829694
Min length1

Characters and Unicode

Total characters6620
Distinct characters18
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique620 ?
Unique (%)27.1%

Sample

1st row5548.75
2nd row4
3rd row2
4th row4+1
5th row2
ValueCountFrequency (%)
2 556
23.4%
75 234
 
9.9%
5 73
 
3.1%
3 63
 
2.7%
4 56
 
2.4%
7 47
 
2.0%
90 45
 
1.9%
42
 
1.8%
79359.54 30
 
1.3%
6 30
 
1.3%
Other values (731) 1198
50.5%
2026-08-19T07:30:57.143150image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 963
14.5%
5 887
13.4%
. 690
10.4%
7 677
10.2%
0 605
9.1%
4 591
8.9%
1 466
7.0%
9 428
6.5%
3 413
6.2%
8 379
 
5.7%
Other values (8) 521
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5753
86.9%
Other Punctuation 694
 
10.5%
Space Separator 94
 
1.4%
Math Symbol 75
 
1.1%
Dash Punctuation 2
 
< 0.1%
Control 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 963
16.7%
5 887
15.4%
7 677
11.8%
0 605
10.5%
4 591
10.3%
1 466
8.1%
9 428
7.4%
3 413
7.2%
8 379
 
6.6%
6 344
 
6.0%
Other Punctuation
ValueCountFrequency (%)
. 690
99.4%
, 3
 
0.4%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
94
100.0%
Math Symbol
ValueCountFrequency (%)
+ 75
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6619
> 99.9%
Latin 1
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 963
14.5%
5 887
13.4%
. 690
10.4%
7 677
10.2%
0 605
9.1%
4 591
8.9%
1 466
7.0%
9 428
6.5%
3 413
6.2%
8 379
 
5.7%
Other values (7) 520
7.9%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6620
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 963
14.5%
5 887
13.4%
. 690
10.4%
7 677
10.2%
0 605
9.1%
4 591
8.9%
1 466
7.0%
9 428
6.5%
3 413
6.2%
8 379
 
5.7%
Other values (8) 521
7.9%

ค่าเป้าหมายขั้นสูง
Text

MISSING 

Distinct744
Distinct (%)32.5%
Missing7648
Missing (%)77.0%
Memory size77.8 KiB
2026-08-19T07:30:58.172913image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length21
Median length17
Mean length3.112227074
Min length1

Characters and Unicode

Total characters7127
Distinct characters18
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique618 ?
Unique (%)27.0%

Sample

1st row5750
2nd row5
3rd row3
4th row4+2
5th row3
ValueCountFrequency (%)
3 534
22.0%
100 302
 
12.4%
4 72
 
3.0%
70
 
2.9%
7 62
 
2.5%
5 56
 
2.3%
1 54
 
2.2%
6 52
 
2.1%
80397.08 30
 
1.2%
90 24
 
1.0%
Other values (721) 1176
48.4%
2026-08-19T07:30:59.574464image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1322
18.5%
3 937
13.1%
1 785
11.0%
. 670
9.4%
5 549
7.7%
4 513
 
7.2%
7 490
 
6.9%
6 415
 
5.8%
8 397
 
5.6%
2 377
 
5.3%
Other values (8) 672
9.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6148
86.3%
Other Punctuation 674
 
9.5%
Space Separator 153
 
2.1%
Math Symbol 148
 
2.1%
Dash Punctuation 2
 
< 0.1%
Control 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1322
21.5%
3 937
15.2%
1 785
12.8%
5 549
8.9%
4 513
 
8.3%
7 490
 
8.0%
6 415
 
6.8%
8 397
 
6.5%
2 377
 
6.1%
9 363
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 670
99.4%
, 3
 
0.4%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
153
100.0%
Math Symbol
ValueCountFrequency (%)
+ 148
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7126
> 99.9%
Latin 1
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1322
18.6%
3 937
13.1%
1 785
11.0%
. 670
9.4%
5 549
7.7%
4 513
 
7.2%
7 490
 
6.9%
6 415
 
5.8%
8 397
 
5.6%
2 377
 
5.3%
Other values (7) 671
9.4%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7127
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1322
18.5%
3 937
13.1%
1 785
11.0%
. 670
9.4%
5 549
7.7%
4 513
 
7.2%
7 490
 
6.9%
6 415
 
5.8%
8 397
 
5.6%
2 377
 
5.3%
Other values (8) 672
9.4%

ผลการดำเนินงาน
Text

MISSING 

Distinct954
Distinct (%)41.7%
Missing7649
Missing (%)77.0%
Memory size77.8 KiB
2026-08-19T07:31:00.957643image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length21
Median length17
Mean length3.403669725
Min length1

Characters and Unicode

Total characters7791
Distinct characters17
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique841 ?
Unique (%)36.7%

Sample

1st row8881.44
2nd row5
3rd row3
4th row4+4
5th row3
ValueCountFrequency (%)
3 417
 
17.3%
100 285
 
11.8%
80
 
3.3%
6 61
 
2.5%
1 58
 
2.4%
4 56
 
2.3%
7 54
 
2.2%
2 50
 
2.1%
5 44
 
1.8%
0 39
 
1.6%
Other values (935) 1264
52.5%
2026-08-19T07:31:02.798377image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 993
12.7%
1 977
12.5%
. 912
11.7%
3 772
9.9%
4 643
8.3%
7 602
7.7%
5 563
7.2%
6 555
7.1%
8 536
6.9%
2 498
6.4%
Other values (7) 740
9.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6597
84.7%
Other Punctuation 916
 
11.8%
Math Symbol 137
 
1.8%
Space Separator 118
 
1.5%
Dash Punctuation 21
 
0.3%
Control 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 993
15.1%
1 977
14.8%
3 772
11.7%
4 643
9.7%
7 602
9.1%
5 563
8.5%
6 555
8.4%
8 536
8.1%
2 498
7.5%
9 458
6.9%
Other Punctuation
ValueCountFrequency (%)
. 912
99.6%
, 4
 
0.4%
Math Symbol
ValueCountFrequency (%)
+ 137
100.0%
Space Separator
ValueCountFrequency (%)
118
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7790
> 99.9%
Latin 1
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 993
12.7%
1 977
12.5%
. 912
11.7%
3 772
9.9%
4 643
8.3%
7 602
7.7%
5 563
7.2%
6 555
7.1%
8 536
6.9%
2 498
6.4%
Other values (6) 739
9.5%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7791
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 993
12.7%
1 977
12.5%
. 912
11.7%
3 772
9.9%
4 643
8.3%
7 602
7.7%
5 563
7.2%
6 555
7.1%
8 536
6.9%
2 498
6.4%
Other values (7) 740
9.5%

คะแนน
Text

MISSING 

Distinct247
Distinct (%)10.8%
Missing7648
Missing (%)77.0%
Memory size77.8 KiB
2026-08-19T07:31:04.128959image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.062445415
Min length1

Characters and Unicode

Total characters7013
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique219 ?
Unique (%)9.6%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row100
ValueCountFrequency (%)
100 1743
76.1%
75 92
 
4.0%
0 85
 
3.7%
50 54
 
2.4%
22
 
1.0%
73.63 15
 
0.7%
56.53 13
 
0.6%
90.5 3
 
0.1%
79.35 3
 
0.1%
95.99 3
 
0.1%
Other values (237) 257
 
11.2%
2026-08-19T07:31:05.935315image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3673
52.4%
1 1795
25.6%
5 322
 
4.6%
. 283
 
4.0%
7 236
 
3.4%
6 139
 
2.0%
8 139
 
2.0%
9 132
 
1.9%
3 129
 
1.8%
4 75
 
1.1%
Other values (2) 90
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6708
95.7%
Other Punctuation 283
 
4.0%
Dash Punctuation 22
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3673
54.8%
1 1795
26.8%
5 322
 
4.8%
7 236
 
3.5%
6 139
 
2.1%
8 139
 
2.1%
9 132
 
2.0%
3 129
 
1.9%
4 75
 
1.1%
2 68
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 283
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7013
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3673
52.4%
1 1795
25.6%
5 322
 
4.6%
. 283
 
4.0%
7 236
 
3.4%
6 139
 
2.0%
8 139
 
2.0%
9 132
 
1.9%
3 129
 
1.8%
4 75
 
1.1%
Other values (2) 90
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7013
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3673
52.4%
1 1795
25.6%
5 322
 
4.6%
. 283
 
4.0%
7 236
 
3.4%
6 139
 
2.0%
8 139
 
2.0%
9 132
 
1.9%
3 129
 
1.8%
4 75
 
1.1%
Other values (2) 90
 
1.3%

หมายเหตุ
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)0.1%
Missing8692
Missing (%)87.5%
Memory size77.8 KiB
2026-08-19T07:31:06.558651image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length46
Median length46
Mean length46
Min length46

Characters and Unicode

Total characters57316
Distinct characters22
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 rowปีประเมินดังกล่าวไม่มีการกำหนดน้ำหนักตัวชี้วัด
2nd rowปีประเมินดังกล่าวไม่มีการกำหนดน้ำหนักตัวชี้วัด
3rd rowปีประเมินดังกล่าวไม่มีการกำหนดน้ำหนักตัวชี้วัด
4th rowปีประเมินดังกล่าวไม่มีการกำหนดน้ำหนักตัวชี้วัด
5th rowปีประเมินดังกล่าวไม่มีการกำหนดน้ำหนักตัวชี้วัด
ValueCountFrequency (%)
ปีประเมินดังกล่าวไม่มีการกำหนดน้ำหนักตัวชี้วัด 1246
100.0%
2026-08-19T07:31:07.435415image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
ก 4984
 
8.7%
น 4984
 
8.7%
ั 4984
 
8.7%
ม 3738
 
6.5%
ว 3738
 
6.5%
ด 3738
 
6.5%
ี 3738
 
6.5%
่ 2492
 
4.3%
้ 2492
 
4.3%
ห 2492
 
4.3%
Other values (12) 19936
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42364
73.9%
Nonspacing Mark 14952
 
26.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ก 4984
11.8%
น 4984
11.8%
ม 3738
8.8%
ว 3738
8.8%
ด 3738
8.8%
ห 2492
 
5.9%
ำ 2492
 
5.9%
า 2492
 
5.9%
ป 2492
 
5.9%
ร 2492
 
5.9%
Other values (7) 8722
20.6%
Nonspacing Mark
ValueCountFrequency (%)
ั 4984
33.3%
ี 3738
25.0%
่ 2492
16.7%
้ 2492
16.7%
ิ 1246
 
8.3%

Most occurring scripts

ValueCountFrequency (%)
Thai 57316
100.0%

Most frequent character per script

Thai
ValueCountFrequency (%)
ก 4984
 
8.7%
น 4984
 
8.7%
ั 4984
 
8.7%
ม 3738
 
6.5%
ว 3738
 
6.5%
ด 3738
 
6.5%
ี 3738
 
6.5%
่ 2492
 
4.3%
้ 2492
 
4.3%
ห 2492
 
4.3%
Other values (12) 19936
34.8%

Most occurring blocks

ValueCountFrequency (%)
Thai 57316
100.0%

Most frequent character per block

Thai
ValueCountFrequency (%)
ก 4984
 
8.7%
น 4984
 
8.7%
ั 4984
 
8.7%
ม 3738
 
6.5%
ว 3738
 
6.5%
ด 3738
 
6.5%
ี 3738
 
6.5%
่ 2492
 
4.3%
้ 2492
 
4.3%
ห 2492
 
4.3%
Other values (12) 19936
34.8%