Overview

Dataset statistics

Number of variables15
Number of observations18896
Missing cells10754
Missing cells (%)3.8%
Total size in memory2.2 MiB
Average record size in memory120.0 B

Variable types

Numeric4
Text11

Alerts

target_type has 1731 (9.2%) missing valuesMissing
weight_x has 1418 (7.5%) missing valuesMissing
level has 315 (1.7%) missing valuesMissing
target_level_score has 314 (1.7%) missing valuesMissing
detail has 4166 (22.0%) missing valuesMissing
measurement_value has 2781 (14.7%) missing valuesMissing
detail is highly skewed (γ1 = 70.06638641)Skewed
detail has 409 (2.2%) zerosZeros

Reproduction

Analysis started2026-08-19 00:31:29.244699
Analysis finished2026-08-19 00:31:30.666509
Duration1.42 second
Software versionydata-profiling vv4.6.4
Download configurationconfig.json

Variables

year
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2565.723328
Minimum2562
Maximum2568
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size147.8 KiB
2026-08-19T07:31:30.849305image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2562
5-th percentile2562
Q12564
median2566
Q32567
95-th percentile2568
Maximum2568
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.757869798
Coefficient of variation (CV)0.0006851361482
Kurtosis-0.7438448005
Mean2565.723328
Median Absolute Deviation (MAD)1
Skewness-0.5908116859
Sum48481908
Variance3.090106227
MonotonicityDecreasing
2026-08-19T07:31:31.164208image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2567 5925
31.4%
2566 3226
17.1%
2564 2553
13.5%
2568 2511
13.3%
2565 2057
 
10.9%
2563 1484
 
7.9%
2562 1140
 
6.0%
ValueCountFrequency (%)
2562 1140
 
6.0%
2563 1484
7.9%
2564 2553
13.5%
2565 2057
10.9%
2566 3226
17.1%
ValueCountFrequency (%)
2568 2511
13.3%
2567 5925
31.4%
2566 3226
17.1%
2565 2057
 
10.9%
2564 2553
13.5%

cycle_name
Text

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size147.8 KiB
2026-08-19T07:31:31.676738image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length59
Median length59
Mean length58.74772439
Min length58

Characters and Unicode

Total characters1110097
Distinct characters34
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

Unique0 ?
Unique (%)0.0%

Sample

1st rowการประเมินของจังหวัด ประจำปีงบประมาณ พ.ศ. 2568 รอบ 6 เดือน
2nd rowการประเมินของจังหวัด ประจำปีงบประมาณ พ.ศ. 2568 รอบ 6 เดือน
3rd rowการประเมินของจังหวัด ประจำปีงบประมาณ พ.ศ. 2568 รอบ 6 เดือน
4th rowการประเมินของจังหวัด ประจำปีงบประมาณ พ.ศ. 2568 รอบ 6 เดือน
5th rowการประเมินของจังหวัด ประจำปีงบประมาณ พ.ศ. 2568 รอบ 6 เดือน
ValueCountFrequency (%)
การประเมินของจังหวัด 18896
14.3%
ประจำปีงบประมาณ 18896
14.3%
พ.ศ 18896
14.3%
รอบ 18896
14.3%
เดือน 18896
14.3%
12 14129
10.7%
2567 5925
 
4.5%
6 4767
 
3.6%
2566 3226
 
2.4%
2564 2553
 
1.9%
Other values (4) 7192
 
5.4%
2026-08-19T07:31:32.594706image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
113376
 
10.2%
ร 94480
 
8.5%
ป 75584
 
6.8%
ง 56688
 
5.1%
อ 56688
 
5.1%
ะ 56688
 
5.1%
เ 37792
 
3.4%
ม 37792
 
3.4%
น 37792
 
3.4%
จ 37792
 
3.4%
Other values (24) 505425
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 755840
68.1%
Space Separator 113376
 
10.2%
Decimal Number 108609
 
9.8%
Nonspacing Mark 94480
 
8.5%
Other Punctuation 37792
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ร 94480
12.5%
ป 75584
 
10.0%
ง 56688
 
7.5%
อ 56688
 
7.5%
ะ 56688
 
7.5%
เ 37792
 
5.0%
ม 37792
 
5.0%
น 37792
 
5.0%
จ 37792
 
5.0%
ด 37792
 
5.0%
Other values (10) 226752
30.0%
Decimal Number
ValueCountFrequency (%)
2 34165
31.5%
6 26889
24.8%
5 20953
19.3%
1 14129
13.0%
7 5925
 
5.5%
4 2553
 
2.4%
8 2511
 
2.3%
3 1484
 
1.4%
Nonspacing Mark
ValueCountFrequency (%)
ั 37792
40.0%
ื 18896
20.0%
ี 18896
20.0%
ิ 18896
20.0%
Space Separator
ValueCountFrequency (%)
113376
100.0%
Other Punctuation
ValueCountFrequency (%)
. 37792
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 850320
76.6%
Common 259777
 
23.4%

Most frequent character per script

Thai
ValueCountFrequency (%)
ร 94480
 
11.1%
ป 75584
 
8.9%
ง 56688
 
6.7%
อ 56688
 
6.7%
ะ 56688
 
6.7%
เ 37792
 
4.4%
ม 37792
 
4.4%
น 37792
 
4.4%
จ 37792
 
4.4%
ั 37792
 
4.4%
Other values (14) 321232
37.8%
Common
ValueCountFrequency (%)
113376
43.6%
. 37792
 
14.5%
2 34165
 
13.2%
6 26889
 
10.4%
5 20953
 
8.1%
1 14129
 
5.4%
7 5925
 
2.3%
4 2553
 
1.0%
8 2511
 
1.0%
3 1484
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Thai 850320
76.6%
ASCII 259777
 
23.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
113376
43.6%
. 37792
 
14.5%
2 34165
 
13.2%
6 26889
 
10.4%
5 20953
 
8.1%
1 14129
 
5.4%
7 5925
 
2.3%
4 2553
 
1.0%
8 2511
 
1.0%
3 1484
 
0.6%
Thai
ValueCountFrequency (%)
ร 94480
 
11.1%
ป 75584
 
8.9%
ง 56688
 
6.7%
อ 56688
 
6.7%
ะ 56688
 
6.7%
เ 37792
 
4.4%
ม 37792
 
4.4%
น 37792
 
4.4%
จ 37792
 
4.4%
ั 37792
 
4.4%
Other values (14) 321232
37.8%

name_ministry
Text

Distinct18
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size147.8 KiB
2026-08-19T07:31:33.143942image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length42
Median length29
Mean length30.70279424
Min length24

Characters and Unicode

Total characters580160
Distinct characters39
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 rowกลุ่มจังหวัดภาคเหนือตอนล่าง 2
2nd rowกลุ่มจังหวัดภาคเหนือตอนล่าง 2
3rd rowกลุ่มจังหวัดภาคเหนือตอนล่าง 2
4th rowกลุ่มจังหวัดภาคเหนือตอนล่าง 2
5th rowกลุ่มจังหวัดภาคเหนือตอนล่าง 2
ValueCountFrequency (%)
1 6041
19.6%
2 5921
19.2%
กลุ่มจังหวัดภาคเหนือตอนล่าง 2336
 
7.6%
กลุ่มจังหวัดภาคตะวันออกเฉียงเหนือตอนบน 2017
 
6.5%
กลุ่มจังหวัดภาคตะวันออก 2005
 
6.5%
กลุ่มจังหวัดภาคตะวันออกเฉียงเหนือตอนล่าง 1965
 
6.4%
กลุ่มจังหวัดภาคเหนือตอนบน 1914
 
6.2%
กลุ่มจังหวัดภาคกลางตอนล่าง 1725
 
5.6%
กลุ่มจังหวัดภาคกลางตอนบน 1593
 
5.2%
กลุ่มจังหวัดภาคใต้ฝั่งอันดามัน 1378
 
4.5%
Other values (4) 3963
12.8%
2026-08-19T07:31:34.079952image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
ั 50184
 
8.7%
อ 38441
 
6.6%
ง 37849
 
6.5%
น 37811
 
6.5%
า 33581
 
5.8%
ก 31191
 
5.4%
ล 31184
 
5.4%
่ 28818
 
5.0%
ห 28140
 
4.9%
ว 27154
 
4.7%
Other values (29) 235807
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 439771
75.8%
Nonspacing Mark 116465
 
20.1%
Space Separator 11962
 
2.1%
Decimal Number 11962
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
อ 38441
 
8.7%
ง 37849
 
8.6%
น 37811
 
8.6%
า 33581
 
7.6%
ก 31191
 
7.1%
ล 31184
 
7.1%
ห 28140
 
6.4%
ว 27154
 
6.2%
ต 22924
 
5.2%
ม 21240
 
4.8%
Other values (19) 130256
29.6%
Nonspacing Mark
ValueCountFrequency (%)
ั 50184
43.1%
่ 28818
24.7%
ุ 18896
 
16.2%
ื 9244
 
7.9%
ี 4994
 
4.3%
้ 3363
 
2.9%
ิ 966
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 6041
50.5%
2 5921
49.5%
Space Separator
ValueCountFrequency (%)
11962
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 556236
95.9%
Common 23924
 
4.1%

Most frequent character per script

Thai
ValueCountFrequency (%)
ั 50184
 
9.0%
อ 38441
 
6.9%
ง 37849
 
6.8%
น 37811
 
6.8%
า 33581
 
6.0%
ก 31191
 
5.6%
ล 31184
 
5.6%
่ 28818
 
5.2%
ห 28140
 
5.1%
ว 27154
 
4.9%
Other values (26) 211883
38.1%
Common
ValueCountFrequency (%)
11962
50.0%
1 6041
25.3%
2 5921
24.7%

Most occurring blocks

ValueCountFrequency (%)
Thai 556236
95.9%
ASCII 23924
 
4.1%

Most frequent character per block

Thai
ValueCountFrequency (%)
ั 50184
 
9.0%
อ 38441
 
6.9%
ง 37849
 
6.8%
น 37811
 
6.8%
า 33581
 
6.0%
ก 31191
 
5.6%
ล 31184
 
5.6%
่ 28818
 
5.2%
ห 28140
 
5.1%
ว 27154
 
4.9%
Other values (26) 211883
38.1%
ASCII
ValueCountFrequency (%)
11962
50.0%
1 6041
25.3%
2 5921
24.7%

name_department
Text

Distinct76
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size147.8 KiB
2026-08-19T07:31:34.962014image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length15
Median length11
Mean length7.534980948
Min length3

Characters and Unicode

Total characters142381
Distinct characters50
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 rowพิจิตร
2nd rowพิจิตร
3rd rowพิจิตร
4th rowพิจิตร
5th rowพิจิตร
ValueCountFrequency (%)
ตาก 395
 
2.1%
สระบุรี 311
 
1.6%
จันทบุรี 303
 
1.6%
สิงห์บุรี 298
 
1.6%
พัทลุง 296
 
1.6%
กาฬสินธุ์ 294
 
1.6%
นครพนม 290
 
1.5%
นครปฐม 289
 
1.5%
นครสวรรค์ 288
 
1.5%
สระแก้ว 288
 
1.5%
Other values (66) 15844
83.8%
2026-08-19T07:31:36.284453image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
ร 18306
 
12.9%
า 10519
 
7.4%
น 9017
 
6.3%
ุ 7487
 
5.3%
ี 7014
 
4.9%
ส 5623
 
3.9%
ง 4942
 
3.5%
บ 4572
 
3.2%
ย 4426
 
3.1%
อ 4220
 
3.0%
Other values (40) 66255
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 115229
80.9%
Nonspacing Mark 27152
 
19.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ร 18306
15.9%
า 10519
 
9.1%
น 9017
 
7.8%
ส 5623
 
4.9%
ง 4942
 
4.3%
บ 4572
 
4.0%
ย 4426
 
3.8%
อ 4220
 
3.7%
ม 4071
 
3.5%
พ 4013
 
3.5%
Other values (30) 45520
39.5%
Nonspacing Mark
ValueCountFrequency (%)
ุ 7487
27.6%
ี 7014
25.8%
ั 3007
11.1%
ิ 2720
 
10.0%
์ 2354
 
8.7%
่ 1804
 
6.6%
ู 1426
 
5.3%
้ 562
 
2.1%
็ 503
 
1.9%
ึ 275
 
1.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 142381
100.0%

Most frequent character per script

Thai
ValueCountFrequency (%)
ร 18306
 
12.9%
า 10519
 
7.4%
น 9017
 
6.3%
ุ 7487
 
5.3%
ี 7014
 
4.9%
ส 5623
 
3.9%
ง 4942
 
3.5%
บ 4572
 
3.2%
ย 4426
 
3.1%
อ 4220
 
3.0%
Other values (40) 66255
46.5%

Most occurring blocks

ValueCountFrequency (%)
Thai 142381
100.0%

Most frequent character per block

Thai
ValueCountFrequency (%)
ร 18306
 
12.9%
า 10519
 
7.4%
น 9017
 
6.3%
ุ 7487
 
5.3%
ี 7014
 
4.9%
ส 5623
 
3.9%
ง 4942
 
3.5%
บ 4572
 
3.2%
ย 4426
 
3.1%
อ 4220
 
3.0%
Other values (40) 66255
46.5%

name_composition
Text

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size147.8 KiB
2026-08-19T07:31:36.782545image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length39
Median length16
Mean length16.30038103
Min length9

Characters and Unicode

Total characters308012
Distinct characters22
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

Unique0 ?
Unique (%)0.0%

Sample

1st rowPerformance Base
2nd rowPerformance Base
3rd rowPerformance Base
4th rowPerformance Base
5th rowPerformance Base
ValueCountFrequency (%)
base 20797
50.0%
performance 12557
30.2%
potential 4554
 
10.9%
agenda 1740
 
4.2%
area 1712
 
4.1%
innovation 234
 
0.6%
2026-08-19T07:31:37.654554image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 53917
17.5%
a 41594
13.5%
r 26826
8.7%
s 20797
 
6.8%
20797
 
6.8%
B 20797
 
6.8%
n 19553
 
6.3%
o 17579
 
5.7%
P 17111
 
5.6%
c 12557
 
4.1%
Other values (12) 56484
18.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 240335
78.0%
Uppercase Letter 41594
 
13.5%
Space Separator 20797
 
6.8%
Other Punctuation 3385
 
1.1%
Control 1901
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 53917
22.4%
a 41594
17.3%
r 26826
11.2%
s 20797
 
8.7%
n 19553
 
8.1%
o 17579
 
7.3%
c 12557
 
5.2%
m 12557
 
5.2%
f 12557
 
5.2%
t 9342
 
3.9%
Other values (5) 13056
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
B 20797
50.0%
P 17111
41.1%
A 3452
 
8.3%
I 234
 
0.6%
Space Separator
ValueCountFrequency (%)
20797
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3385
100.0%
Control
ValueCountFrequency (%)
1901
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 281929
91.5%
Common 26083
 
8.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 53917
19.1%
a 41594
14.8%
r 26826
9.5%
s 20797
 
7.4%
B 20797
 
7.4%
n 19553
 
6.9%
o 17579
 
6.2%
P 17111
 
6.1%
c 12557
 
4.5%
m 12557
 
4.5%
Other values (9) 38641
13.7%
Common
ValueCountFrequency (%)
20797
79.7%
, 3385
 
13.0%
1901
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 308012
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 53917
17.5%
a 41594
13.5%
r 26826
8.7%
s 20797
 
6.8%
20797
 
6.8%
B 20797
 
6.8%
n 19553
 
6.3%
o 17579
 
5.7%
P 17111
 
5.6%
c 12557
 
4.1%
Other values (12) 56484
18.3%

data_department_type
Text

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size147.8 KiB
2026-08-19T07:31:38.042566image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length7
Median length7
Mean length5.7457663
Min length3

Characters and Unicode

Total characters108572
Distinct characters9
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 rowจังหวัด
2nd rowจังหวัด
3rd rowจังหวัด
4th rowจังหวัด
5th rowจังหวัด
ValueCountFrequency (%)
จังหวัด 12971
68.6%
pro 5925
31.4%
2026-08-19T07:31:38.810740image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
ั 25942
23.9%
จ 12971
11.9%
ง 12971
11.9%
ห 12971
11.9%
ว 12971
11.9%
ด 12971
11.9%
P 5925
 
5.5%
R 5925
 
5.5%
O 5925
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 64855
59.7%
Nonspacing Mark 25942
 
23.9%
Uppercase Letter 17775
 
16.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
จ 12971
20.0%
ง 12971
20.0%
ห 12971
20.0%
ว 12971
20.0%
ด 12971
20.0%
Uppercase Letter
ValueCountFrequency (%)
P 5925
33.3%
R 5925
33.3%
O 5925
33.3%
Nonspacing Mark
ValueCountFrequency (%)
ั 25942
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 90797
83.6%
Latin 17775
 
16.4%

Most frequent character per script

Thai
ValueCountFrequency (%)
ั 25942
28.6%
จ 12971
14.3%
ง 12971
14.3%
ห 12971
14.3%
ว 12971
14.3%
ด 12971
14.3%
Latin
ValueCountFrequency (%)
P 5925
33.3%
R 5925
33.3%
O 5925
33.3%

Most occurring blocks

ValueCountFrequency (%)
Thai 90797
83.6%
ASCII 17775
 
16.4%

Most frequent character per block

Thai
ValueCountFrequency (%)
ั 25942
28.6%
จ 12971
14.3%
ง 12971
14.3%
ห 12971
14.3%
ว 12971
14.3%
ด 12971
14.3%
ASCII
ValueCountFrequency (%)
P 5925
33.3%
R 5925
33.3%
O 5925
33.3%

kpi_no
Text

Distinct112
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size147.8 KiB
2026-08-19T07:31:39.895453image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length6
Median length5
Mean length2.413103302
Min length1

Characters and Unicode

Total characters45598
Distinct characters10
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

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1.1
5th row1.1
ValueCountFrequency (%)
3 1586
 
8.4%
2 1465
 
7.8%
1 1445
 
7.6%
5 1438
 
7.6%
4 1378
 
7.3%
6 912
 
4.8%
1.1 660
 
3.5%
7 579
 
3.1%
1.2 579
 
3.1%
2.1 568
 
3.0%
Other values (99) 8286
43.9%
2026-08-19T07:31:41.166062image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 13351
29.3%
1 9621
21.1%
2 6914
15.2%
3 6534
14.3%
4 3750
 
8.2%
5 2866
 
6.3%
6 1908
 
4.2%
7 639
 
1.4%
8 12
 
< 0.1%
3
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32244
70.7%
Other Punctuation 13351
29.3%
Space Separator 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 9621
29.8%
2 6914
21.4%
3 6534
20.3%
4 3750
 
11.6%
5 2866
 
8.9%
6 1908
 
5.9%
7 639
 
2.0%
8 12
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
. 13351
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 45598
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 13351
29.3%
1 9621
21.1%
2 6914
15.2%
3 6534
14.3%
4 3750
 
8.2%
5 2866
 
6.3%
6 1908
 
4.2%
7 639
 
1.4%
8 12
 
< 0.1%
3
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45598
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 13351
29.3%
1 9621
21.1%
2 6914
15.2%
3 6534
14.3%
4 3750
 
8.2%
5 2866
 
6.3%
6 1908
 
4.2%
7 639
 
1.4%
8 12
 
< 0.1%
3
 
< 0.1%

name
Text

Distinct564
Distinct (%)3.0%
Missing12
Missing (%)0.1%
Memory size147.8 KiB
2026-08-19T07:31:41.785977image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length231
Median length109
Mean length51.33965262
Min length2

Characters and Unicode

Total characters969498
Distinct characters127
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
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 rowตัวชี้วัดขับเคลื่อนการบูรณาการร่วมกัน (Joint KPIs)
2nd rowตัวชี้วัดขับเคลื่อนการบูรณาการร่วมกัน (Joint KPIs)
3rd rowตัวชี้วัดขับเคลื่อนการบูรณาการร่วมกัน (Joint KPIs)
4th rowรายได้จากการท่องเที่ยว
5th rowรายได้จากการท่องเที่ยว
ValueCountFrequency (%)
4.0 1830
 
4.7%
otop 1452
 
3.7%
data 1266
 
3.3%
รายได้จากการจำหน่ายผลิตภัณฑ์ชุมชน 1086
 
2.8%
การประเมินสถานะของหน่วยงานในการเป็นระบบราชการ 912
 
2.4%
pmqa 912
 
2.4%
รายได้จากการท่องเที่ยว 843
 
2.2%
ตัวชี้วัดขับเคลื่อนการบูรณาการร่วมกัน 737
 
1.9%
joint 737
 
1.9%
kpis 737
 
1.9%
Other values (763) 28238
72.9%
2026-08-19T07:31:42.868198image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
า 71141
 
7.3%
ร 63733
 
6.6%
น 51899
 
5.4%
อ 40690
 
4.2%
ก 39052
 
4.0%
ย 32305
 
3.3%
่ 31482
 
3.2%
ั 31241
 
3.2%
ง 30682
 
3.2%
ม 28961
 
3.0%
Other values (117) 548312
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 706624
72.9%
Nonspacing Mark 160635
 
16.6%
Lowercase Letter 30907
 
3.2%
Space Separator 19920
 
2.1%
Uppercase Letter 19145
 
2.0%
Decimal Number 8782
 
0.9%
Close Punctuation 7942
 
0.8%
Open Punctuation 7942
 
0.8%
Other Punctuation 4370
 
0.5%
Dash Punctuation 3216
 
0.3%
Other values (2) 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
า 71141
 
10.1%
ร 63733
 
9.0%
น 51899
 
7.3%
อ 40690
 
5.8%
ก 39052
 
5.5%
ย 32305
 
4.6%
ง 30682
 
4.3%
ม 28961
 
4.1%
ล 28665
 
4.1%
เ 23431
 
3.3%
Other values (37) 296065
41.9%
Lowercase Letter
ValueCountFrequency (%)
a 4749
15.4%
e 4434
14.3%
t 4421
14.3%
i 3746
12.1%
n 2558
8.3%
o 1967
6.4%
s 1424
 
4.6%
r 1404
 
4.5%
l 1239
 
4.0%
v 858
 
2.8%
Other values (13) 4107
13.3%
Uppercase Letter
ValueCountFrequency (%)
P 4325
22.6%
O 3501
18.3%
D 2082
10.9%
T 1494
 
7.8%
M 1422
 
7.4%
Q 1152
 
6.0%
A 960
 
5.0%
I 806
 
4.2%
K 740
 
3.9%
J 737
 
3.8%
Other values (13) 1926
10.1%
Nonspacing Mark
ValueCountFrequency (%)
่ 31482
19.6%
ั 31241
19.4%
้ 27635
17.2%
ิ 21325
13.3%
ี 13257
8.3%
ู 9717
 
6.0%
ุ 9669
 
6.0%
์ 5433
 
3.4%
ื 5176
 
3.2%
็ 3672
 
2.3%
Other values (3) 2028
 
1.3%
Decimal Number
ValueCountFrequency (%)
0 2127
24.2%
4 2037
23.2%
5 1359
15.5%
2 1307
14.9%
1 1193
13.6%
9 453
 
5.2%
7 228
 
2.6%
6 45
 
0.5%
3 33
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 3510
80.3%
/ 794
 
18.2%
: 33
 
0.8%
" 30
 
0.7%
@ 3
 
0.1%
Space Separator
ValueCountFrequency (%)
19917
> 99.9%
  3
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 7942
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7942
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3216
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 12
100.0%
Control
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 867259
89.5%
Common 52187
 
5.4%
Latin 50052
 
5.2%

Most frequent character per script

Thai
ValueCountFrequency (%)
า 71141
 
8.2%
ร 63733
 
7.3%
น 51899
 
6.0%
อ 40690
 
4.7%
ก 39052
 
4.5%
ย 32305
 
3.7%
่ 31482
 
3.6%
ั 31241
 
3.6%
ง 30682
 
3.5%
ม 28961
 
3.3%
Other values (50) 446073
51.4%
Latin
ValueCountFrequency (%)
a 4749
 
9.5%
e 4434
 
8.9%
t 4421
 
8.8%
P 4325
 
8.6%
i 3746
 
7.5%
O 3501
 
7.0%
n 2558
 
5.1%
D 2082
 
4.2%
o 1967
 
3.9%
T 1494
 
3.0%
Other values (36) 16775
33.5%
Common
ValueCountFrequency (%)
19917
38.2%
) 7942
 
15.2%
( 7942
 
15.2%
. 3510
 
6.7%
- 3216
 
6.2%
0 2127
 
4.1%
4 2037
 
3.9%
5 1359
 
2.6%
2 1307
 
2.5%
1 1193
 
2.3%
Other values (11) 1637
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Thai 867259
89.5%
ASCII 102236
 
10.5%
None 3
 
< 0.1%

Most frequent character per block

Thai
ValueCountFrequency (%)
า 71141
 
8.2%
ร 63733
 
7.3%
น 51899
 
6.0%
อ 40690
 
4.7%
ก 39052
 
4.5%
ย 32305
 
3.7%
่ 31482
 
3.6%
ั 31241
 
3.6%
ง 30682
 
3.5%
ม 28961
 
3.3%
Other values (50) 446073
51.4%
ASCII
ValueCountFrequency (%)
19917
19.5%
) 7942
 
7.8%
( 7942
 
7.8%
a 4749
 
4.6%
e 4434
 
4.3%
t 4421
 
4.3%
P 4325
 
4.2%
i 3746
 
3.7%
. 3510
 
3.4%
O 3501
 
3.4%
Other values (56) 37749
36.9%
None
ValueCountFrequency (%)
  3
100.0%

data_kpi_type
Text

Distinct7
Distinct (%)< 0.1%
Missing17
Missing (%)0.1%
Memory size147.8 KiB
2026-08-19T07:31:43.319724image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.997828275
Min length4

Characters and Unicode

Total characters113233
Distinct characters21
Distinct categories3 ?
Distinct scripts2 ?
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 rowShopping
2nd rowShopping
3rd rowShopping
4th rowShopping
5th rowShopping
ValueCountFrequency (%)
menu 9368
49.6%
shopping 5700
30.2%
regulate 3724
 
19.7%
iden 78
 
0.4%
inno 9
 
< 0.1%
2026-08-19T07:31:44.150099image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
p 11400
 
10.1%
e 9686
 
8.6%
g 9424
 
8.3%
M 9368
 
8.3%
n 7938
 
7.0%
N 7226
 
6.4%
E 7208
 
6.4%
U 7130
 
6.3%
u 5962
 
5.3%
h 5700
 
5.0%
Other values (11) 32191
28.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 72682
64.2%
Uppercase Letter 40530
35.8%
Space Separator 21
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p 11400
15.7%
e 9686
13.3%
g 9424
13.0%
n 7938
10.9%
u 5962
8.2%
h 5700
7.8%
i 5700
7.8%
o 5700
7.8%
l 3724
 
5.1%
a 3724
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
M 9368
23.1%
N 7226
17.8%
E 7208
17.8%
U 7130
17.6%
S 5700
14.1%
R 3724
 
9.2%
I 87
 
0.2%
D 78
 
0.2%
O 9
 
< 0.1%
Space Separator
ValueCountFrequency (%)
21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 113212
> 99.9%
Common 21
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
p 11400
 
10.1%
e 9686
 
8.6%
g 9424
 
8.3%
M 9368
 
8.3%
n 7938
 
7.0%
N 7226
 
6.4%
E 7208
 
6.4%
U 7130
 
6.3%
u 5962
 
5.3%
h 5700
 
5.0%
Other values (10) 32170
28.4%
Common
ValueCountFrequency (%)
21
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 113233
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
p 11400
 
10.1%
e 9686
 
8.6%
g 9424
 
8.3%
M 9368
 
8.3%
n 7938
 
7.0%
N 7226
 
6.4%
E 7208
 
6.4%
U 7130
 
6.3%
u 5962
 
5.3%
h 5700
 
5.0%
Other values (11) 32191
28.4%

target_type
Text

MISSING 

Distinct6
Distinct (%)< 0.1%
Missing1731
Missing (%)9.2%
Memory size147.8 KiB
2026-08-19T07:31:44.613866image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.978094961
Min length6

Characters and Unicode

Total characters154109
Distinct characters32
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 rowQuantity
2nd rowQuantity
3rd rowQuantity
4th rowMilestone
5th rowMilestone
ValueCountFrequency (%)
quantity 7601
44.3%
เชิงปริมาณ 6836
39.8%
milestone 2327
 
13.6%
เชิงผลผลิต 365
 
2.1%
เชิงคุณภาพ 33
 
0.2%
hybrid 3
 
< 0.1%
2026-08-19T07:31:45.498964image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 17529
 
11.4%
ิ 14435
 
9.4%
i 9931
 
6.4%
n 9928
 
6.4%
y 7604
 
4.9%
u 7601
 
4.9%
Q 7601
 
4.9%
a 7601
 
4.9%
เ 7234
 
4.7%
ช 7234
 
4.7%
Other values (22) 57411
37.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 71838
46.6%
Other Letter 57872
37.6%
Nonspacing Mark 14468
 
9.4%
Uppercase Letter 9931
 
6.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
เ 7234
12.5%
ช 7234
12.5%
ง 7234
12.5%
า 6869
11.9%
ณ 6869
11.9%
ป 6836
11.8%
ร 6836
11.8%
ม 6836
11.8%
ผ 730
 
1.3%
ล 730
 
1.3%
Other values (4) 464
 
0.8%
Lowercase Letter
ValueCountFrequency (%)
t 17529
24.4%
i 9931
13.8%
n 9928
13.8%
y 7604
10.6%
u 7601
10.6%
a 7601
10.6%
e 4654
 
6.5%
s 2327
 
3.2%
o 2327
 
3.2%
l 2327
 
3.2%
Other values (3) 9
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
Q 7601
76.5%
M 2327
 
23.4%
H 3
 
< 0.1%
Nonspacing Mark
ValueCountFrequency (%)
ิ 14435
99.8%
ุ 33
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Latin 81769
53.1%
Thai 72340
46.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 17529
21.4%
i 9931
12.1%
n 9928
12.1%
y 7604
9.3%
u 7601
9.3%
Q 7601
9.3%
a 7601
9.3%
e 4654
 
5.7%
s 2327
 
2.8%
o 2327
 
2.8%
Other values (6) 4666
 
5.7%
Thai
ValueCountFrequency (%)
ิ 14435
20.0%
เ 7234
10.0%
ช 7234
10.0%
ง 7234
10.0%
า 6869
9.5%
ณ 6869
9.5%
ป 6836
9.4%
ร 6836
9.4%
ม 6836
9.4%
ผ 730
 
1.0%
Other values (6) 1227
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 81769
53.1%
Thai 72340
46.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 17529
21.4%
i 9931
12.1%
n 9928
12.1%
y 7604
9.3%
u 7601
9.3%
Q 7601
9.3%
a 7601
9.3%
e 4654
 
5.7%
s 2327
 
2.8%
o 2327
 
2.8%
Other values (6) 4666
 
5.7%
Thai
ValueCountFrequency (%)
ิ 14435
20.0%
เ 7234
10.0%
ช 7234
10.0%
ง 7234
10.0%
า 6869
9.5%
ณ 6869
9.5%
ป 6836
9.4%
ร 6836
9.4%
ม 6836
9.4%
ผ 730
 
1.0%
Other values (6) 1227
 
1.7%

weight_x
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)0.2%
Missing1418
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean11.37433574
Minimum0.75
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size147.8 KiB
2026-08-19T07:31:45.927441image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.75
5-th percentile1.66
Q15
median10
Q315
95-th percentile30
Maximum60
Range59.25
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.075017946
Coefficient of variation (CV)0.7099331454
Kurtosis3.492304064
Mean11.37433574
Median Absolute Deviation (MAD)5
Skewness1.60192885
Sum198800.64
Variance65.20591483
MonotonicityNot monotonic
2026-08-19T07:31:46.382869image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
10 6517
34.5%
15 2618
13.9%
5 2403
 
12.7%
20 1397
 
7.4%
2.5 801
 
4.2%
30 740
 
3.9%
1.66 432
 
2.3%
1.25 408
 
2.2%
40 228
 
1.2%
25 220
 
1.2%
Other values (29) 1714
 
9.1%
(Missing) 1418
 
7.5%
ValueCountFrequency (%)
0.75 24
 
0.1%
0.93 48
 
0.3%
1 138
 
0.7%
1.25 408
2.2%
1.5 21
 
0.1%
ValueCountFrequency (%)
60 6
 
< 0.1%
50 21
 
0.1%
45 75
 
0.4%
40 228
1.2%
35 75
 
0.4%

level
Text

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing315
Missing (%)1.7%
Memory size147.8 KiB
2026-08-19T07:31:46.845637image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters334458
Distinct characters18
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 rowค่าเป้าหมายขั้นต้น
2nd rowค่าเป้าหมายมาตรฐาน
3rd rowค่าเป้าหมายขั้นสูง
4th rowค่าเป้าหมายขั้นต้น
5th rowค่าเป้าหมายมาตรฐาน
ValueCountFrequency (%)
ค่าเป้าหมายขั้นต้น 6199
33.4%
ค่าเป้าหมายขั้นสูง 6198
33.4%
ค่าเป้าหมายมาตรฐาน 6184
33.3%
2026-08-19T07:31:47.720464image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
า 68111
20.4%
้ 37177
11.1%
น 24780
 
7.4%
ม 24765
 
7.4%
ค 18581
 
5.6%
เ 18581
 
5.6%
ป 18581
 
5.6%
ห 18581
 
5.6%
ย 18581
 
5.6%
่ 18581
 
5.6%
Other values (8) 68139
20.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 260105
77.8%
Nonspacing Mark 74353
 
22.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
า 68111
26.2%
น 24780
 
9.5%
ม 24765
 
9.5%
ค 18581
 
7.1%
เ 18581
 
7.1%
ป 18581
 
7.1%
ห 18581
 
7.1%
ย 18581
 
7.1%
ข 12397
 
4.8%
ต 12383
 
4.8%
Other values (4) 24764
 
9.5%
Nonspacing Mark
ValueCountFrequency (%)
้ 37177
50.0%
่ 18581
25.0%
ั 12397
 
16.7%
ู 6198
 
8.3%

Most occurring scripts

ValueCountFrequency (%)
Thai 334458
100.0%

Most frequent character per script

Thai
ValueCountFrequency (%)
า 68111
20.4%
้ 37177
11.1%
น 24780
 
7.4%
ม 24765
 
7.4%
ค 18581
 
5.6%
เ 18581
 
5.6%
ป 18581
 
5.6%
ห 18581
 
5.6%
ย 18581
 
5.6%
่ 18581
 
5.6%
Other values (8) 68139
20.4%

Most occurring blocks

ValueCountFrequency (%)
Thai 334458
100.0%

Most frequent character per block

Thai
ValueCountFrequency (%)
า 68111
20.4%
้ 37177
11.1%
น 24780
 
7.4%
ม 24765
 
7.4%
ค 18581
 
5.6%
เ 18581
 
5.6%
ป 18581
 
5.6%
ห 18581
 
5.6%
ย 18581
 
5.6%
่ 18581
 
5.6%
Other values (8) 68139
20.4%

target_level_score
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing314
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean74.99730922
Minimum50
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size147.8 KiB
2026-08-19T07:31:48.048756image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile50
Q150
median75
Q3100
95-th percentile100
Maximum100
Range50
Interquartile range (IQR)50

Descriptive statistics

Standard deviation20.42120097
Coefficient of variation (CV)0.2722924486
Kurtosis-1.501290878
Mean74.99730922
Median Absolute Deviation (MAD)25
Skewness0.0001978264806
Sum1393600
Variance417.0254489
MonotonicityNot monotonic
2026-08-19T07:31:48.350647image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
50 6200
32.8%
100 6198
32.8%
75 6184
32.7%
(Missing) 314
 
1.7%
ValueCountFrequency (%)
50 6200
32.8%
75 6184
32.7%
100 6198
32.8%
ValueCountFrequency (%)
100 6198
32.8%
75 6184
32.7%
50 6200
32.8%

detail
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct5515
Distinct (%)37.4%
Missing4166
Missing (%)22.0%
Infinite0
Infinite (%)0.0%
Mean21412.1439
Minimum0
Maximum94755231
Zeros409
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size147.8 KiB
2026-08-19T07:31:48.725661image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median60
Q3100
95-th percentile7325.622
Maximum94755231
Range94755231
Interquartile range (IQR)94

Descriptive statistics

Standard deviation1319785.195
Coefficient of variation (CV)61.63722797
Kurtosis4911.138556
Mean21412.1439
Median Absolute Deviation (MAD)53.16
Skewness70.06638641
Sum315400879.6
Variance1.741832961 × 1012
MonotonicityNot monotonic
2026-08-19T07:31:49.139011image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 785
 
4.2%
1 641
 
3.4%
2 495
 
2.6%
5 465
 
2.5%
90 411
 
2.2%
0 409
 
2.2%
4 395
 
2.1%
10 376
 
2.0%
80 323
 
1.7%
100 322
 
1.7%
Other values (5505) 10108
53.5%
(Missing) 4166
22.0%
ValueCountFrequency (%)
0 409
2.2%
0.06 1
 
< 0.1%
0.12 2
 
< 0.1%
0.13 1
 
< 0.1%
0.24 2
 
< 0.1%
ValueCountFrequency (%)
94755231 1
< 0.1%
92170997 1
< 0.1%
90448175 1
< 0.1%
1135120 1
< 0.1%
1020409 1
< 0.1%

measurement_value
Text

MISSING 

Distinct39
Distinct (%)0.2%
Missing2781
Missing (%)14.7%
Memory size147.8 KiB
2026-08-19T07:31:49.644762image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length62
Median length6
Mean length7.832392181
Min length3

Characters and Unicode

Total characters126219
Distinct characters64
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowล้านบาท
2nd rowล้านบาท
3rd rowล้านบาท
4th rowผลผลิต
5th rowผลผลิต
ValueCountFrequency (%)
ร้อยละ 8523
43.6%
ล้านบาท 2514
 
12.8%
ผลผลิต 2356
 
12.0%
คะแนน 1938
 
9.9%
1397
 
7.1%
ต่อประชากรแสนคน 297
 
1.5%
ตัน 228
 
1.2%
pillar 228
 
1.2%
อัตราต่อประชากรแสนคน 195
 
1.0%
พันคน 189
 
1.0%
Other values (34) 1704
 
8.7%
2026-08-19T07:31:50.600090image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
ล 15977
12.7%
ร 11577
 
9.2%
ะ 11370
 
9.0%
้ 11154
 
8.8%
อ 10470
 
8.3%
ย 9045
 
7.2%
น 8568
 
6.8%
า 7203
 
5.7%
ผ 4715
 
3.7%
ต 4237
 
3.4%
Other values (54) 31903
25.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 102017
80.8%
Nonspacing Mark 16912
 
13.4%
Space Separator 3508
 
2.8%
Math Symbol 1271
 
1.0%
Lowercase Letter 1182
 
0.9%
Decimal Number 786
 
0.6%
Uppercase Letter 234
 
0.2%
Dash Punctuation 195
 
0.2%
Other Punctuation 114
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ล 15977
15.7%
ร 11577
11.3%
ะ 11370
11.1%
อ 10470
10.3%
ย 9045
8.9%
น 8568
8.4%
า 7203
7.1%
ผ 4715
 
4.6%
ต 4237
 
4.2%
ค 3330
 
3.3%
Other values (26) 15525
15.2%
Nonspacing Mark
ValueCountFrequency (%)
้ 11154
66.0%
ิ 2572
 
15.2%
่ 1188
 
7.0%
ั 1068
 
6.3%
ี 459
 
2.7%
ุ 222
 
1.3%
ู 126
 
0.7%
์ 123
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
l 456
38.6%
i 234
19.8%
r 234
19.8%
a 228
19.3%
e 18
 
1.5%
v 6
 
0.5%
c 6
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 384
48.9%
5 189
24.0%
9 189
24.0%
0 18
 
2.3%
8 6
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 81
71.1%
/ 27
 
23.7%
, 6
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
P 228
97.4%
S 6
 
2.6%
Space Separator
ValueCountFrequency (%)
3508
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1271
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 195
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 118929
94.2%
Common 5874
 
4.7%
Latin 1416
 
1.1%

Most frequent character per script

Thai
ValueCountFrequency (%)
ล 15977
13.4%
ร 11577
9.7%
ะ 11370
9.6%
้ 11154
9.4%
อ 10470
8.8%
ย 9045
 
7.6%
น 8568
 
7.2%
า 7203
 
6.1%
ผ 4715
 
4.0%
ต 4237
 
3.6%
Other values (34) 24613
20.7%
Common
ValueCountFrequency (%)
3508
59.7%
+ 1271
 
21.6%
1 384
 
6.5%
- 195
 
3.3%
5 189
 
3.2%
9 189
 
3.2%
. 81
 
1.4%
/ 27
 
0.5%
0 18
 
0.3%
8 6
 
0.1%
Latin
ValueCountFrequency (%)
l 456
32.2%
i 234
16.5%
r 234
16.5%
P 228
16.1%
a 228
16.1%
e 18
 
1.3%
S 6
 
0.4%
v 6
 
0.4%
c 6
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Thai 118929
94.2%
ASCII 7290
 
5.8%

Most frequent character per block

Thai
ValueCountFrequency (%)
ล 15977
13.4%
ร 11577
9.7%
ะ 11370
9.6%
้ 11154
9.4%
อ 10470
8.8%
ย 9045
 
7.6%
น 8568
 
7.2%
า 7203
 
6.1%
ผ 4715
 
4.0%
ต 4237
 
3.6%
Other values (34) 24613
20.7%
ASCII
ValueCountFrequency (%)
3508
48.1%
+ 1271
 
17.4%
l 456
 
6.3%
1 384
 
5.3%
i 234
 
3.2%
r 234
 
3.2%
P 228
 
3.1%
a 228
 
3.1%
- 195
 
2.7%
5 189
 
2.6%
Other values (10) 363
 
5.0%