Overview

Dataset statistics

Number of variables12
Number of observations173
Missing cells240
Missing cells (%)11.6%
Total size in memory16.3 KiB
Average record size in memory96.7 B

Variable types

Numeric1
Text11

Alerts

มิติรู้ has constant value ""Constant
มิติรู้ has 30 (17.3%) missing valuesMissing
สถานะมิติรู้ has 30 (17.3%) missing valuesMissing
มิติยื่น has 30 (17.3%) missing valuesMissing
สถานะมิติยื่น has 30 (17.3%) missing valuesMissing
มิติจ่าย has 30 (17.3%) missing valuesMissing
สถานะมิติจ่าย has 30 (17.3%) missing valuesMissing
มิติรับ has 30 (17.3%) missing valuesMissing
สถานะมิติรับ has 30 (17.3%) missing valuesMissing
ลำดับที่ has unique valuesUnique
ชื่องานบริการ has unique valuesUnique

Reproduction

Analysis started2026-08-19 00:27:18.908172
Analysis finished2026-08-19 00:27:19.765383
Duration0.86 seconds
Software versionydata-profiling vv4.6.4
Download configurationconfig.json

Variables

ลำดับที่
Real number (ℝ)

UNIQUE 

Distinct173
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87
Minimum1
Maximum173
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2026-08-19T07:27:20.032870image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.6
Q144
median87
Q3130
95-th percentile164.4
Maximum173
Range172
Interquartile range (IQR)86

Descriptive statistics

Standard deviation50.08492787
Coefficient of variation (CV)0.5756888261
Kurtosis-1.2
Mean87
Median Absolute Deviation (MAD)43
Skewness0
Sum15051
Variance2508.5
MonotonicityStrictly increasing
2026-08-19T07:27:20.488511image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
120 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
116 1
 
0.6%
117 1
 
0.6%
118 1
 
0.6%
119 1
 
0.6%
Other values (163) 163
94.2%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
ValueCountFrequency (%)
173 1
0.6%
172 1
0.6%
171 1
0.6%
170 1
0.6%
169 1
0.6%
Distinct173
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2026-08-19T07:27:21.225460image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length164
Median length86
Mean length46.47398844
Min length12

Characters and Unicode

Total characters8040
Distinct characters117
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

Unique173 ?
Unique (%)100.0%

Sample

1st rowเงินอุดหนุนเพื่อการเลี้ยงดูเด็กแรกเกิด
2nd rowสิทธิหลักประกันสุขภาพ
3rd rowข้อมูลผู้ประกันตนในระบบประกันสังคม
4th rowค่าน้ำประปา (กปน.) (ตรวจสอบและชำระเงิน)
5th rowค่าน้ำประปา (กปภ.) (ตรวจสอบและชำระเงิน)
ValueCountFrequency (%)
ส.ส 6
 
1.7%
พ.ศ 6
 
1.7%
ปี 6
 
1.7%
ส.ป.ก 5
 
1.4%
ตรวจสอบและชำระเงิน 4
 
1.1%
ตรวจสอบข้อมูลกำลังพลกองทัพบก 4
 
1.1%
2566 3
 
0.8%
งานบริการเฉพาะกิจการเลือกตั้ง 3
 
0.8%
3
 
0.8%
ข้อมูลใบอนุญาตขับรถ 3
 
0.8%
Other values (295) 318
88.1%
2026-08-19T07:27:22.488037image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
603
 
7.5%
550
 
6.8%
398
 
5.0%
381
 
4.7%
339
 
4.2%
265
 
3.3%
254
 
3.2%
253
 
3.1%
239
 
3.0%
218
 
2.7%
Other values (107) 4540
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5987
74.5%
Nonspacing Mark 1408
 
17.5%
Space Separator 214
 
2.7%
Lowercase Letter 120
 
1.5%
Other Punctuation 79
 
1.0%
Decimal Number 58
 
0.7%
Close Punctuation 57
 
0.7%
Open Punctuation 57
 
0.7%
Uppercase Letter 53
 
0.7%
Dash Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
603
 
10.1%
550
 
9.2%
398
 
6.6%
381
 
6.4%
339
 
5.7%
265
 
4.4%
254
 
4.2%
239
 
4.0%
215
 
3.6%
209
 
3.5%
Other values (37) 2534
42.3%
Lowercase Letter
ValueCountFrequency (%)
e 21
17.5%
t 14
11.7%
r 13
10.8%
o 11
9.2%
c 10
8.3%
a 9
7.5%
i 8
 
6.7%
s 5
 
4.2%
l 5
 
4.2%
k 4
 
3.3%
Other values (10) 20
16.7%
Uppercase Letter
ValueCountFrequency (%)
C 10
18.9%
S 7
13.2%
E 5
9.4%
D 5
9.4%
O 4
 
7.5%
I 3
 
5.7%
F 3
 
5.7%
T 2
 
3.8%
V 2
 
3.8%
N 2
 
3.8%
Other values (10) 10
18.9%
Nonspacing Mark
ValueCountFrequency (%)
253
18.0%
218
15.5%
218
15.5%
160
11.4%
141
10.0%
138
9.8%
96
 
6.8%
85
 
6.0%
65
 
4.6%
18
 
1.3%
Decimal Number
ValueCountFrequency (%)
0 10
17.2%
5 10
17.2%
6 10
17.2%
1 9
15.5%
2 9
15.5%
3 4
 
6.9%
4 3
 
5.2%
9 1
 
1.7%
8 1
 
1.7%
7 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 68
86.1%
/ 8
 
10.1%
: 2
 
2.5%
, 1
 
1.3%
Space Separator
ValueCountFrequency (%)
214
100.0%
Close Punctuation
ValueCountFrequency (%)
) 57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 57
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Modifier Letter
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 7397
92.0%
Common 470
 
5.8%
Latin 173
 
2.2%

Most frequent character per script

Thai
ValueCountFrequency (%)
603
 
8.2%
550
 
7.4%
398
 
5.4%
381
 
5.2%
339
 
4.6%
265
 
3.6%
254
 
3.4%
253
 
3.4%
239
 
3.2%
218
 
2.9%
Other values (49) 3897
52.7%
Latin
ValueCountFrequency (%)
e 21
 
12.1%
t 14
 
8.1%
r 13
 
7.5%
o 11
 
6.4%
C 10
 
5.8%
c 10
 
5.8%
a 9
 
5.2%
i 8
 
4.6%
S 7
 
4.0%
s 5
 
2.9%
Other values (30) 65
37.6%
Common
ValueCountFrequency (%)
214
45.5%
. 68
 
14.5%
) 57
 
12.1%
( 57
 
12.1%
0 10
 
2.1%
5 10
 
2.1%
6 10
 
2.1%
1 9
 
1.9%
2 9
 
1.9%
/ 8
 
1.7%
Other values (8) 18
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Thai 7397
92.0%
ASCII 643
 
8.0%

Most frequent character per block

Thai
ValueCountFrequency (%)
603
 
8.2%
550
 
7.4%
398
 
5.4%
381
 
5.2%
339
 
4.6%
265
 
3.6%
254
 
3.4%
253
 
3.4%
239
 
3.2%
218
 
2.9%
Other values (49) 3897
52.7%
ASCII
ValueCountFrequency (%)
214
33.3%
. 68
 
10.6%
) 57
 
8.9%
( 57
 
8.9%
e 21
 
3.3%
t 14
 
2.2%
r 13
 
2.0%
o 11
 
1.7%
C 10
 
1.6%
c 10
 
1.6%
Other values (48) 168
26.1%
Distinct86
Distinct (%)49.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2026-08-19T07:27:23.251238image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length94
Median length42
Mean length28.23121387
Min length8

Characters and Unicode

Total characters4884
Distinct characters63
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)29.5%

Sample

1st rowกรมกิจการเด็กและเยาวชน
2nd rowสำนักงานหลักประกันสุขภาพแห่งชาติ (สปสช.)
3rd rowสำนักงานประกันสังคม
4th rowการประปานครหลวง
5th rowการประปาส่วนภูมิภาค
ValueCountFrequency (%)
องค์การมหาชน 11
 
5.0%
สำนักงานการปฏิรูปที่ดินเพื่อเกษตรกรรม 7
 
3.2%
กรมสนับสนุนบริการสุขภาพ 7
 
3.2%
กสทช 6
 
2.7%
กิจการโทรทัศน์ 6
 
2.7%
และกิจการโทรคมนาคมแห่งชาติ 6
 
2.7%
กรมพัฒนาสังคมและสวัสดิการ 6
 
2.7%
กรมส่งเสริมและพัฒนาคุณภาพชีวิตคนพิการ 6
 
2.7%
ก.ก.ต 5
 
2.3%
กรมกิจการเด็กและเยาวชน 5
 
2.3%
Other values (89) 156
70.6%
2026-08-19T07:27:24.648141image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
466
 
9.5%
459
 
9.4%
410
 
8.4%
333
 
6.8%
227
 
4.6%
221
 
4.5%
214
 
4.4%
204
 
4.2%
173
 
3.5%
126
 
2.6%
Other values (53) 2051
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4032
82.6%
Nonspacing Mark 706
 
14.5%
Space Separator 57
 
1.2%
Other Punctuation 37
 
0.8%
Close Punctuation 24
 
0.5%
Open Punctuation 24
 
0.5%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
466
 
11.6%
459
 
11.4%
410
 
10.2%
333
 
8.3%
227
 
5.6%
214
 
5.3%
204
 
5.1%
126
 
3.1%
103
 
2.6%
97
 
2.4%
Other values (33) 1393
34.5%
Nonspacing Mark
ValueCountFrequency (%)
221
31.3%
173
24.5%
83
 
11.8%
81
 
11.5%
36
 
5.1%
32
 
4.5%
27
 
3.8%
24
 
3.4%
17
 
2.4%
9
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
U 1
25.0%
N 1
25.0%
D 1
25.0%
P 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 31
83.8%
, 6
 
16.2%
Space Separator
ValueCountFrequency (%)
57
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 4738
97.0%
Common 142
 
2.9%
Latin 4
 
0.1%

Most frequent character per script

Thai
ValueCountFrequency (%)
466
 
9.8%
459
 
9.7%
410
 
8.7%
333
 
7.0%
227
 
4.8%
221
 
4.7%
214
 
4.5%
204
 
4.3%
173
 
3.7%
126
 
2.7%
Other values (44) 1905
40.2%
Common
ValueCountFrequency (%)
57
40.1%
. 31
21.8%
) 24
16.9%
( 24
16.9%
, 6
 
4.2%
Latin
ValueCountFrequency (%)
U 1
25.0%
N 1
25.0%
D 1
25.0%
P 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Thai 4738
97.0%
ASCII 146
 
3.0%

Most frequent character per block

Thai
ValueCountFrequency (%)
466
 
9.8%
459
 
9.7%
410
 
8.7%
333
 
7.0%
227
 
4.8%
221
 
4.7%
214
 
4.5%
204
 
4.3%
173
 
3.7%
126
 
2.7%
Other values (44) 1905
40.2%
ASCII
ValueCountFrequency (%)
57
39.0%
. 31
21.2%
) 24
16.4%
( 24
16.4%
, 6
 
4.1%
U 1
 
0.7%
N 1
 
0.7%
D 1
 
0.7%
P 1
 
0.7%
Distinct19
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2026-08-19T07:27:25.200343image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length25
Median length14
Mean length11.69942197
Min length6

Characters and Unicode

Total characters2024
Distinct characters46
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st rowสวัสดิการ
2nd rowสุขภาพ
3rd rowสุขภาพ
4th rowสาธารณูปโภค
5th rowสาธารณูปโภค
ValueCountFrequency (%)
สวัสดิการ 45
24.6%
การงานและอาชีพ 24
13.1%
ข้อมูลประชาชน 14
 
7.7%
สุขภาพ 10
 
5.5%
ที่อยู่อาศัย 10
 
5.5%
การยุติธรรม 10
 
5.5%
คดี/ว่าความ 10
 
5.5%
รู้เรื่องรัฐ 9
 
4.9%
ข้อมูลภาครัฐ 7
 
3.8%
ข้อมูลของฉัน 7
 
3.8%
Other values (10) 37
20.2%
2026-08-19T07:27:26.146555image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
238
 
11.8%
170
 
8.4%
107
 
5.3%
100
 
4.9%
95
 
4.7%
88
 
4.3%
74
 
3.7%
65
 
3.2%
64
 
3.2%
62
 
3.1%
Other values (36) 961
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1578
78.0%
Nonspacing Mark 393
 
19.4%
Other Punctuation 23
 
1.1%
Open Punctuation 10
 
0.5%
Close Punctuation 10
 
0.5%
Space Separator 10
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
238
15.1%
170
 
10.8%
107
 
6.8%
100
 
6.3%
95
 
6.0%
74
 
4.7%
65
 
4.1%
62
 
3.9%
58
 
3.7%
54
 
3.4%
Other values (23) 555
35.2%
Nonspacing Mark
ValueCountFrequency (%)
88
22.4%
64
16.3%
55
14.0%
55
14.0%
45
11.5%
45
11.5%
25
 
6.4%
12
 
3.1%
4
 
1.0%
Other Punctuation
ValueCountFrequency (%)
/ 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 1971
97.4%
Common 53
 
2.6%

Most frequent character per script

Thai
ValueCountFrequency (%)
238
 
12.1%
170
 
8.6%
107
 
5.4%
100
 
5.1%
95
 
4.8%
88
 
4.5%
74
 
3.8%
65
 
3.3%
64
 
3.2%
62
 
3.1%
Other values (32) 908
46.1%
Common
ValueCountFrequency (%)
/ 23
43.4%
( 10
18.9%
) 10
18.9%
10
18.9%

Most occurring blocks

ValueCountFrequency (%)
Thai 1971
97.4%
ASCII 53
 
2.6%

Most frequent character per block

Thai
ValueCountFrequency (%)
238
 
12.1%
170
 
8.6%
107
 
5.4%
100
 
5.1%
95
 
4.8%
88
 
4.5%
74
 
3.8%
65
 
3.3%
64
 
3.2%
62
 
3.1%
Other values (32) 908
46.1%
ASCII
ValueCountFrequency (%)
/ 23
43.4%
( 10
18.9%
) 10
18.9%
10
18.9%

มิติรู้
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)0.7%
Missing30
Missing (%)17.3%
Memory size1.5 KiB
2026-08-19T07:27:26.400501image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters286
Distinct characters2
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 rowมี
2nd rowมี
3rd rowมี
4th rowมี
5th rowมี
ValueCountFrequency (%)
มี 143
100.0%
2026-08-19T07:27:26.940687image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
143
50.0%
143
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 143
50.0%
Nonspacing Mark 143
50.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
143
100.0%
Nonspacing Mark
ValueCountFrequency (%)
143
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 286
100.0%

Most frequent character per script

Thai
ValueCountFrequency (%)
143
50.0%
143
50.0%

Most occurring blocks

ValueCountFrequency (%)
Thai 286
100.0%

Most frequent character per block

Thai
ValueCountFrequency (%)
143
50.0%
143
50.0%
Distinct2
Distinct (%)1.4%
Missing30
Missing (%)17.3%
Memory size1.5 KiB
2026-08-19T07:27:27.371812image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length19
Median length13
Mean length13.04195804
Min length13

Characters and Unicode

Total characters1865
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

Unique1 ?
Unique (%)0.7%

Sample

1st rowให้บริการแล้ว
2nd rowให้บริการแล้ว
3rd rowให้บริการแล้ว
4th rowให้บริการแล้ว
5th rowให้บริการแล้ว
ValueCountFrequency (%)
ให้บริการแล้ว 142
99.3%
ยังไม่เปิดให้บริการ 1
 
0.7%
2026-08-19T07:27:28.219236image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
286
15.3%
285
15.3%
144
7.7%
143
7.7%
143
7.7%
143
7.7%
143
7.7%
143
7.7%
142
7.6%
142
7.6%
Other values (10) 151
8.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1434
76.9%
Nonspacing Mark 431
 
23.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
286
19.9%
143
10.0%
143
10.0%
143
10.0%
143
10.0%
143
10.0%
142
9.9%
142
9.9%
142
9.9%
1
 
0.1%
Other values (6) 6
 
0.4%
Nonspacing Mark
ValueCountFrequency (%)
285
66.1%
144
33.4%
1
 
0.2%
1
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Thai 1865
100.0%

Most frequent character per script

Thai
ValueCountFrequency (%)
286
15.3%
285
15.3%
144
7.7%
143
7.7%
143
7.7%
143
7.7%
143
7.7%
143
7.7%
142
7.6%
142
7.6%
Other values (10) 151
8.1%

Most occurring blocks

ValueCountFrequency (%)
Thai 1865
100.0%

Most frequent character per block

Thai
ValueCountFrequency (%)
286
15.3%
285
15.3%
144
7.7%
143
7.7%
143
7.7%
143
7.7%
143
7.7%
143
7.7%
142
7.6%
142
7.6%
Other values (10) 151
8.1%
Distinct2
Distinct (%)1.4%
Missing30
Missing (%)17.3%
Memory size1.5 KiB
2026-08-19T07:27:28.554642image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.965034965
Min length2

Characters and Unicode

Total characters424
Distinct characters4
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 rowมี
2nd rowมี
3rd rowไม่มี
4th rowไม่มี
5th rowไม่มี
ValueCountFrequency (%)
มี 97
67.8%
ไม่มี 46
32.2%
2026-08-19T07:27:29.215842image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
189
44.6%
143
33.7%
46
 
10.8%
46
 
10.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 235
55.4%
Nonspacing Mark 189
44.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
189
80.4%
46
 
19.6%
Nonspacing Mark
ValueCountFrequency (%)
143
75.7%
46
 
24.3%

Most occurring scripts

ValueCountFrequency (%)
Thai 424
100.0%

Most frequent character per script

Thai
ValueCountFrequency (%)
189
44.6%
143
33.7%
46
 
10.8%
46
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
Thai 424
100.0%

Most frequent character per block

Thai
ValueCountFrequency (%)
189
44.6%
143
33.7%
46
 
10.8%
46
 
10.8%
Distinct3
Distinct (%)2.1%
Missing30
Missing (%)17.3%
Memory size1.5 KiB
2026-08-19T07:27:29.648002image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length19
Median length13
Mean length12.1048951
Min length5

Characters and Unicode

Total characters1731
Distinct characters21
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 rowยังไม่เปิดให้บริการ
2nd rowยังไม่เปิดให้บริการ
3rd rowไม่มี
4th rowไม่มี
5th rowไม่มี
ValueCountFrequency (%)
ให้บริการแล้ว 57
39.9%
ไม่มี 46
32.2%
ยังไม่เปิดให้บริการ 40
28.0%
2026-08-19T07:27:30.450835image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
194
 
11.2%
154
 
8.9%
137
 
7.9%
132
 
7.6%
97
 
5.6%
97
 
5.6%
97
 
5.6%
97
 
5.6%
97
 
5.6%
86
 
5.0%
Other values (11) 543
31.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1268
73.3%
Nonspacing Mark 463
 
26.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
194
15.3%
132
10.4%
97
 
7.6%
97
 
7.6%
97
 
7.6%
97
 
7.6%
97
 
7.6%
86
 
6.8%
57
 
4.5%
57
 
4.5%
Other values (6) 257
20.3%
Nonspacing Mark
ValueCountFrequency (%)
154
33.3%
137
29.6%
86
18.6%
46
 
9.9%
40
 
8.6%

Most occurring scripts

ValueCountFrequency (%)
Thai 1731
100.0%

Most frequent character per script

Thai
ValueCountFrequency (%)
194
 
11.2%
154
 
8.9%
137
 
7.9%
132
 
7.6%
97
 
5.6%
97
 
5.6%
97
 
5.6%
97
 
5.6%
97
 
5.6%
86
 
5.0%
Other values (11) 543
31.4%

Most occurring blocks

ValueCountFrequency (%)
Thai 1731
100.0%

Most frequent character per block

Thai
ValueCountFrequency (%)
194
 
11.2%
154
 
8.9%
137
 
7.9%
132
 
7.6%
97
 
5.6%
97
 
5.6%
97
 
5.6%
97
 
5.6%
97
 
5.6%
86
 
5.0%
Other values (11) 543
31.4%
Distinct2
Distinct (%)1.4%
Missing30
Missing (%)17.3%
Memory size1.5 KiB
2026-08-19T07:27:30.728088image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.328671329
Min length2

Characters and Unicode

Total characters619
Distinct characters4
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 rowไม่มี
2nd rowไม่มี
3rd rowไม่มี
4th rowมี
5th rowมี
ValueCountFrequency (%)
ไม่มี 111
77.6%
มี 32
 
22.4%
2026-08-19T07:27:31.336990image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
254
41.0%
143
23.1%
111
17.9%
111
17.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 365
59.0%
Nonspacing Mark 254
41.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
254
69.6%
111
30.4%
Nonspacing Mark
ValueCountFrequency (%)
143
56.3%
111
43.7%

Most occurring scripts

ValueCountFrequency (%)
Thai 619
100.0%

Most frequent character per script

Thai
ValueCountFrequency (%)
254
41.0%
143
23.1%
111
17.9%
111
17.9%

Most occurring blocks

ValueCountFrequency (%)
Thai 619
100.0%

Most frequent character per block

Thai
ValueCountFrequency (%)
254
41.0%
143
23.1%
111
17.9%
111
17.9%
Distinct3
Distinct (%)2.1%
Missing30
Missing (%)17.3%
Memory size1.5 KiB
2026-08-19T07:27:31.701010image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length19
Median length5
Mean length7.545454545
Min length5

Characters and Unicode

Total characters1079
Distinct characters21
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 rowไม่มี
2nd rowไม่มี
3rd rowไม่มี
4th rowให้บริการแล้ว
5th rowให้บริการแล้ว
ValueCountFrequency (%)
ไม่มี 111
77.6%
ยังไม่เปิดให้บริการ 18
 
12.6%
ให้บริการแล้ว 14
 
9.8%
2026-08-19T07:27:32.438112image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
240
22.2%
129
12.0%
129
12.0%
111
10.3%
64
 
5.9%
50
 
4.6%
46
 
4.3%
32
 
3.0%
32
 
3.0%
32
 
3.0%
Other values (11) 214
19.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 725
67.2%
Nonspacing Mark 354
32.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
240
33.1%
129
17.8%
64
 
8.8%
32
 
4.4%
32
 
4.4%
32
 
4.4%
32
 
4.4%
32
 
4.4%
18
 
2.5%
18
 
2.5%
Other values (6) 96
 
13.2%
Nonspacing Mark
ValueCountFrequency (%)
129
36.4%
111
31.4%
50
 
14.1%
46
 
13.0%
18
 
5.1%

Most occurring scripts

ValueCountFrequency (%)
Thai 1079
100.0%

Most frequent character per script

Thai
ValueCountFrequency (%)
240
22.2%
129
12.0%
129
12.0%
111
10.3%
64
 
5.9%
50
 
4.6%
46
 
4.3%
32
 
3.0%
32
 
3.0%
32
 
3.0%
Other values (11) 214
19.8%

Most occurring blocks

ValueCountFrequency (%)
Thai 1079
100.0%

Most frequent character per block

Thai
ValueCountFrequency (%)
240
22.2%
129
12.0%
129
12.0%
111
10.3%
64
 
5.9%
50
 
4.6%
46
 
4.3%
32
 
3.0%
32
 
3.0%
32
 
3.0%
Other values (11) 214
19.8%

มิติรับ
Text

MISSING 

Distinct2
Distinct (%)1.4%
Missing30
Missing (%)17.3%
Memory size1.5 KiB
2026-08-19T07:27:32.784561image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length5
Median length5
Mean length3.93006993
Min length2

Characters and Unicode

Total characters562
Distinct characters4
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 rowไม่มี
2nd rowไม่มี
3rd rowไม่มี
4th rowมี
5th rowมี
ValueCountFrequency (%)
ไม่มี 92
64.3%
มี 51
35.7%
2026-08-19T07:27:33.463615image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
235
41.8%
143
25.4%
92
 
16.4%
92
 
16.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 327
58.2%
Nonspacing Mark 235
41.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
235
71.9%
92
 
28.1%
Nonspacing Mark
ValueCountFrequency (%)
143
60.9%
92
39.1%

Most occurring scripts

ValueCountFrequency (%)
Thai 562
100.0%

Most frequent character per script

Thai
ValueCountFrequency (%)
235
41.8%
143
25.4%
92
 
16.4%
92
 
16.4%

Most occurring blocks

ValueCountFrequency (%)
Thai 562
100.0%

Most frequent character per block

Thai
ValueCountFrequency (%)
235
41.8%
143
25.4%
92
 
16.4%
92
 
16.4%
Distinct3
Distinct (%)2.1%
Missing30
Missing (%)17.3%
Memory size1.5 KiB
2026-08-19T07:27:33.858467image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length19
Median length5
Mean length9.531468531
Min length5

Characters and Unicode

Total characters1363
Distinct characters21
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 rowไม่มี
2nd rowไม่มี
3rd rowไม่มี
4th rowยังไม่เปิดให้บริการ
5th rowยังไม่เปิดให้บริการ
ValueCountFrequency (%)
ไม่มี 92
64.3%
ยังไม่เปิดให้บริการ 40
28.0%
ให้บริการแล้ว 11
 
7.7%
2026-08-19T07:27:34.700607image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
224
16.4%
132
 
9.7%
132
 
9.7%
102
 
7.5%
92
 
6.7%
91
 
6.7%
62
 
4.5%
51
 
3.7%
51
 
3.7%
51
 
3.7%
Other values (11) 375
27.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 946
69.4%
Nonspacing Mark 417
30.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
224
23.7%
132
14.0%
102
10.8%
51
 
5.4%
51
 
5.4%
51
 
5.4%
51
 
5.4%
51
 
5.4%
40
 
4.2%
40
 
4.2%
Other values (6) 153
16.2%
Nonspacing Mark
ValueCountFrequency (%)
132
31.7%
92
22.1%
91
21.8%
62
14.9%
40
 
9.6%

Most occurring scripts

ValueCountFrequency (%)
Thai 1363
100.0%

Most frequent character per script

Thai
ValueCountFrequency (%)
224
16.4%
132
 
9.7%
132
 
9.7%
102
 
7.5%
92
 
6.7%
91
 
6.7%
62
 
4.5%
51
 
3.7%
51
 
3.7%
51
 
3.7%
Other values (11) 375
27.5%

Most occurring blocks

ValueCountFrequency (%)
Thai 1363
100.0%

Most frequent character per block

Thai
ValueCountFrequency (%)
224
16.4%
132
 
9.7%
132
 
9.7%
102
 
7.5%
92
 
6.7%
91
 
6.7%
62
 
4.5%
51
 
3.7%
51
 
3.7%
51
 
3.7%
Other values (11) 375
27.5%