Overview

Dataset statistics

Number of variables7
Number of observations82
Missing cells69
Missing cells (%)12.0%
Total size in memory4.6 KiB
Average record size in memory57.6 B

Variable types

Text5
Numeric2

Alerts

ประเภทหน่วยงาน has constant value ""Constant
หน่วยงานเจ้าของรายงาน has 10 (12.2%) missing valuesMissing
ประเภทหน่วยงาน has 10 (12.2%) missing valuesMissing
รายงานประจำปี has 10 (12.2%) missing valuesMissing
ประเด็น has 9 (11.0%) missing valuesMissing
รายละอียด has 10 (12.2%) missing valuesMissing
จำนวน has 10 (12.2%) missing valuesMissing
หน่วยนับ has 10 (12.2%) missing valuesMissing

Reproduction

Analysis started2026-08-19 00:32:54.767108
Analysis finished2026-08-19 00:32:55.207530
Duration0.44 seconds
Software versionydata-profiling vv4.6.4
Download configurationconfig.json

Variables

Distinct2
Distinct (%)2.8%
Missing10
Missing (%)12.2%
Memory size784.0 B
2026-08-19T07:32:55.576037image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length49
Median length39
Mean length43.16666667
Min length39

Characters and Unicode

Total characters3108
Distinct characters40
Distinct categories6 ?
Distinct scripts3 ?
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 rowสถาบันส่งเสริมการบริหารกิจการบ้านเมืองที่ดี (IGP)
2nd rowสถาบันส่งเสริมการบริหารกิจการบ้านเมืองที่ดี (IGP)
3rd rowสถาบันส่งเสริมการบริหารกิจการบ้านเมืองที่ดี (IGP)
4th rowสถาบันส่งเสริมการบริหารกิจการบ้านเมืองที่ดี (IGP)
5th rowสถาบันส่งเสริมการบริหารกิจการบ้านเมืองที่ดี (IGP)
ValueCountFrequency (%)
สำนักพิมพ์คณะรัฐมนตรีและราชกิจจานุเบกษา 42
41.2%
สถาบันส่งเสริมการบริหารกิจการบ้านเมืองที่ดี 30
29.4%
igp 30
29.4%
2026-08-19T07:32:56.426735image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
276
 
8.9%
276
 
8.9%
216
 
6.9%
186
 
6.0%
174
 
5.6%
144
 
4.6%
132
 
4.2%
132
 
4.2%
114
 
3.7%
114
 
3.7%
Other values (30) 1344
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2334
75.1%
Nonspacing Mark 594
 
19.1%
Uppercase Letter 90
 
2.9%
Open Punctuation 30
 
1.0%
Space Separator 30
 
1.0%
Close Punctuation 30
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
276
11.8%
276
11.8%
216
 
9.3%
186
 
8.0%
144
 
6.2%
132
 
5.7%
132
 
5.7%
114
 
4.9%
102
 
4.4%
84
 
3.6%
Other values (16) 672
28.8%
Nonspacing Mark
ValueCountFrequency (%)
174
29.3%
114
19.2%
102
17.2%
60
 
10.1%
42
 
7.1%
42
 
7.1%
30
 
5.1%
30
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
P 30
33.3%
G 30
33.3%
I 30
33.3%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Space Separator
ValueCountFrequency (%)
30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 2928
94.2%
Latin 90
 
2.9%
Common 90
 
2.9%

Most frequent character per script

Thai
ValueCountFrequency (%)
276
 
9.4%
276
 
9.4%
216
 
7.4%
186
 
6.4%
174
 
5.9%
144
 
4.9%
132
 
4.5%
132
 
4.5%
114
 
3.9%
114
 
3.9%
Other values (24) 1164
39.8%
Latin
ValueCountFrequency (%)
P 30
33.3%
G 30
33.3%
I 30
33.3%
Common
ValueCountFrequency (%)
( 30
33.3%
30
33.3%
) 30
33.3%

Most occurring blocks

ValueCountFrequency (%)
Thai 2928
94.2%
ASCII 180
 
5.8%

Most frequent character per block

Thai
ValueCountFrequency (%)
276
 
9.4%
276
 
9.4%
216
 
7.4%
186
 
6.4%
174
 
5.9%
144
 
4.9%
132
 
4.5%
132
 
4.5%
114
 
3.9%
114
 
3.9%
Other values (24) 1164
39.8%
ASCII
ValueCountFrequency (%)
P 30
16.7%
G 30
16.7%
I 30
16.7%
( 30
16.7%
30
16.7%
) 30
16.7%
Distinct1
Distinct (%)1.4%
Missing10
Missing (%)12.2%
Memory size784.0 B
2026-08-19T07:32:56.903594image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length28
Median length28
Mean length28
Min length28

Characters and Unicode

Total characters2016
Distinct characters23
Distinct categories6 ?
Distinct scripts3 ?
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 rowหน่วยบริการรูปแบบพิเศษ (SDU)
2nd rowหน่วยบริการรูปแบบพิเศษ (SDU)
3rd rowหน่วยบริการรูปแบบพิเศษ (SDU)
4th rowหน่วยบริการรูปแบบพิเศษ (SDU)
5th rowหน่วยบริการรูปแบบพิเศษ (SDU)
ValueCountFrequency (%)
หน่วยบริการรูปแบบพิเศษ 72
50.0%
sdu 72
50.0%
2026-08-19T07:32:57.747819image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
216
 
10.7%
216
 
10.7%
144
 
7.1%
72
 
3.6%
72
 
3.6%
U 72
 
3.6%
D 72
 
3.6%
S 72
 
3.6%
( 72
 
3.6%
72
 
3.6%
Other values (13) 936
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1296
64.3%
Nonspacing Mark 288
 
14.3%
Uppercase Letter 216
 
10.7%
Open Punctuation 72
 
3.6%
Space Separator 72
 
3.6%
Close Punctuation 72
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
216
16.7%
216
16.7%
72
 
5.6%
72
 
5.6%
72
 
5.6%
72
 
5.6%
72
 
5.6%
72
 
5.6%
72
 
5.6%
72
 
5.6%
Other values (4) 288
22.2%
Nonspacing Mark
ValueCountFrequency (%)
144
50.0%
72
25.0%
72
25.0%
Uppercase Letter
ValueCountFrequency (%)
U 72
33.3%
D 72
33.3%
S 72
33.3%
Open Punctuation
ValueCountFrequency (%)
( 72
100.0%
Space Separator
ValueCountFrequency (%)
72
100.0%
Close Punctuation
ValueCountFrequency (%)
) 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 1584
78.6%
Latin 216
 
10.7%
Common 216
 
10.7%

Most frequent character per script

Thai
ValueCountFrequency (%)
216
13.6%
216
13.6%
144
 
9.1%
72
 
4.5%
72
 
4.5%
72
 
4.5%
72
 
4.5%
72
 
4.5%
72
 
4.5%
72
 
4.5%
Other values (7) 504
31.8%
Latin
ValueCountFrequency (%)
U 72
33.3%
D 72
33.3%
S 72
33.3%
Common
ValueCountFrequency (%)
( 72
33.3%
72
33.3%
) 72
33.3%

Most occurring blocks

ValueCountFrequency (%)
Thai 1584
78.6%
ASCII 432
 
21.4%

Most frequent character per block

Thai
ValueCountFrequency (%)
216
13.6%
216
13.6%
144
 
9.1%
72
 
4.5%
72
 
4.5%
72
 
4.5%
72
 
4.5%
72
 
4.5%
72
 
4.5%
72
 
4.5%
Other values (7) 504
31.8%
ASCII
ValueCountFrequency (%)
U 72
16.7%
D 72
16.7%
S 72
16.7%
( 72
16.7%
72
16.7%
) 72
16.7%

รายงานประจำปี
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)8.3%
Missing10
Missing (%)12.2%
Infinite0
Infinite (%)0.0%
Mean2564.611111
Minimum2562
Maximum2567
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size784.0 B
2026-08-19T07:32:58.116885image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2562
5-th percentile2562
Q12563
median2565
Q32566
95-th percentile2567
Maximum2567
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.716166343
Coefficient of variation (CV)0.0006691721547
Kurtosis-1.25967083
Mean2564.611111
Median Absolute Deviation (MAD)1
Skewness-0.0911504477
Sum184652
Variance2.945226917
MonotonicityDecreasing
2026-08-19T07:32:58.442513image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2567 13
15.9%
2566 13
15.9%
2565 12
14.6%
2564 12
14.6%
2563 11
13.4%
2562 11
13.4%
(Missing) 10
12.2%
ValueCountFrequency (%)
2562 11
13.4%
2563 11
13.4%
2564 12
14.6%
2565 12
14.6%
2566 13
15.9%
ValueCountFrequency (%)
2567 13
15.9%
2566 13
15.9%
2565 12
14.6%
2564 12
14.6%
2563 11
13.4%

ประเด็น
Text

MISSING 

Distinct4
Distinct (%)5.5%
Missing9
Missing (%)11.0%
Memory size784.0 B
2026-08-19T07:32:58.901984image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length28
Median length21
Mean length21.30136986
Min length1

Characters and Unicode

Total characters1555
Distinct characters27
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

Unique1 ?
Unique (%)1.4%

Sample

1st rowการสำรวจความพึงพอใจ
2nd rowฐานะการเงินและผลการดำเนินงาน
3rd rowรายได้จากการดำเนินการ
4th rowรายได้จากการดำเนินการ
5th rowรายได้จากการดำเนินการ
ValueCountFrequency (%)
รายได้จากการดำเนินการ 48
65.8%
การสำรวจความพึงพอใจ 14
 
19.2%
ฐานะการเงินและผลการดำเนินงาน 10
 
13.7%
8 1
 
1.4%
2026-08-19T07:32:59.781303image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
260
16.7%
192
12.3%
178
11.4%
146
9.4%
106
 
6.8%
76
 
4.9%
72
 
4.6%
68
 
4.4%
68
 
4.4%
48
 
3.1%
Other values (17) 341
21.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1424
91.6%
Nonspacing Mark 130
 
8.4%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
260
18.3%
192
13.5%
178
12.5%
146
10.3%
106
7.4%
76
 
5.3%
72
 
5.1%
68
 
4.8%
48
 
3.4%
48
 
3.4%
Other values (13) 230
16.2%
Nonspacing Mark
ValueCountFrequency (%)
68
52.3%
48
36.9%
14
 
10.8%
Decimal Number
ValueCountFrequency (%)
8 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 1554
99.9%
Common 1
 
0.1%

Most frequent character per script

Thai
ValueCountFrequency (%)
260
16.7%
192
12.4%
178
11.5%
146
9.4%
106
 
6.8%
76
 
4.9%
72
 
4.6%
68
 
4.4%
68
 
4.4%
48
 
3.1%
Other values (16) 340
21.9%
Common
ValueCountFrequency (%)
8 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Thai 1554
99.9%
ASCII 1
 
0.1%

Most frequent character per block

Thai
ValueCountFrequency (%)
260
16.7%
192
12.4%
178
11.5%
146
9.4%
106
 
6.8%
76
 
4.9%
72
 
4.6%
68
 
4.4%
68
 
4.4%
48
 
3.1%
Other values (16) 340
21.9%
ASCII
ValueCountFrequency (%)
8 1
100.0%
Distinct12
Distinct (%)16.7%
Missing10
Missing (%)12.2%
Memory size784.0 B
2026-08-19T07:33:00.402035image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length55
Median length32.5
Mean length31.83333333
Min length11

Characters and Unicode

Total characters2292
Distinct characters51
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowผลการประเมินความพึงพอใจ
2nd rowรายได้สูง/(ต่ำ)กว่าค่าใช้จ่ายสุทธิ
3rd rowโครงการฝึกอบรม
4th rowโครงการพัฒนานักบริหารการเปลี่ยนแปลงรุ่นใหม่
5th rowโครงการวิจัยและที่ปรึกษา
ValueCountFrequency (%)
รายได้สูง/(ต่ำ)กว่าค่าใช้จ่ายสุทธิ 10
12.8%
โครงการฝึกอบรม 6
7.7%
โครงการพัฒนานักบริหารการเปลี่ยนแปลงรุ่นใหม่ 6
7.7%
โครงการวิจัยและที่ปรึกษา 6
7.7%
รายได้อื่นๆ 6
7.7%
รายได้งานพิมพ์ทั่วไป(สลค 6
7.7%
งานทั่วใบประกาศนียบัตรกำกับเครื่องราชฯและงานพิมพ์ทั่วไป 6
7.7%
งานพิมพ์ราชกิจจานุเบกษา 6
7.7%
รายได้งานพิมพ์ทั่วไปนอกจาก 6
7.7%
สลค.และรายได้อื่นๆ 6
7.7%
Other values (3) 14
17.9%
2026-08-19T07:33:01.392642image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
230
 
10.0%
182
 
7.9%
126
 
5.5%
112
 
4.9%
110
 
4.8%
90
 
3.9%
82
 
3.6%
80
 
3.5%
72
 
3.1%
66
 
2.9%
Other values (41) 1142
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1762
76.9%
Nonspacing Mark 442
 
19.3%
Space Separator 28
 
1.2%
Open Punctuation 16
 
0.7%
Close Punctuation 16
 
0.7%
Other Punctuation 16
 
0.7%
Modifier Letter 12
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
230
 
13.1%
182
 
10.3%
126
 
7.2%
110
 
6.2%
90
 
5.1%
82
 
4.7%
80
 
4.5%
64
 
3.6%
60
 
3.4%
54
 
3.1%
Other values (25) 684
38.8%
Nonspacing Mark
ValueCountFrequency (%)
112
25.3%
72
16.3%
66
14.9%
56
12.7%
36
 
8.1%
28
 
6.3%
24
 
5.4%
24
 
5.4%
14
 
3.2%
10
 
2.3%
Other Punctuation
ValueCountFrequency (%)
/ 10
62.5%
. 6
37.5%
Space Separator
ValueCountFrequency (%)
28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Modifier Letter
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 2216
96.7%
Common 76
 
3.3%

Most frequent character per script

Thai
ValueCountFrequency (%)
230
 
10.4%
182
 
8.2%
126
 
5.7%
112
 
5.1%
110
 
5.0%
90
 
4.1%
82
 
3.7%
80
 
3.6%
72
 
3.2%
66
 
3.0%
Other values (36) 1066
48.1%
Common
ValueCountFrequency (%)
28
36.8%
( 16
21.1%
) 16
21.1%
/ 10
 
13.2%
. 6
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
Thai 2216
96.7%
ASCII 76
 
3.3%

Most frequent character per block

Thai
ValueCountFrequency (%)
230
 
10.4%
182
 
8.2%
126
 
5.7%
112
 
5.1%
110
 
5.0%
90
 
4.1%
82
 
3.7%
80
 
3.6%
72
 
3.2%
66
 
3.0%
Other values (36) 1066
48.1%
ASCII
ValueCountFrequency (%)
28
36.8%
( 16
21.1%
) 16
21.1%
/ 10
 
13.2%
. 6
 
7.9%

จำนวน
Real number (ℝ)

MISSING 

Distinct68
Distinct (%)94.4%
Missing10
Missing (%)12.2%
Infinite0
Infinite (%)0.0%
Mean17357540.32
Minimum-8656786.18
Maximum115616841.5
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)2.4%
Memory size784.0 B
2026-08-19T07:33:01.838060image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-8656786.18
5-th percentile86.237
Q1773365.91
median7866915.215
Q319476806.32
95-th percentile74675770.19
Maximum115616841.5
Range124273627.7
Interquartile range (IQR)18703440.41

Descriptive statistics

Standard deviation26380957.37
Coefficient of variation (CV)1.519855744
Kurtosis5.674442983
Mean17357540.32
Median Absolute Deviation (MAD)7866819.78
Skewness2.358165478
Sum1249742903
Variance6.959549115 × 1014
MonotonicityNot monotonic
2026-08-19T07:33:02.286736image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1475046.89 2
 
2.4%
30175550 2
 
2.4%
46595692 2
 
2.4%
115616841.5 2
 
2.4%
3591977.38 1
 
1.2%
39662144.85 1
 
1.2%
18099644.89 1
 
1.2%
10053373.54 1
 
1.2%
17207200 1
 
1.2%
16749018 1
 
1.2%
Other values (58) 58
70.7%
(Missing) 10
 
12.2%
ValueCountFrequency (%)
-8656786.18 1
1.2%
-2688360.05 1
1.2%
78.6 1
1.2%
85.94 1
1.2%
86.48 1
1.2%
ValueCountFrequency (%)
115616841.5 2
2.4%
102044028.2 1
1.2%
89522024.14 1
1.2%
62528835.14 1
1.2%
61531630 1
1.2%
Distinct2
Distinct (%)2.8%
Missing10
Missing (%)12.2%
Memory size784.0 B
2026-08-19T07:33:02.593891image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.583333333
Min length3

Characters and Unicode

Total characters258
Distinct characters9
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 rowร้อยละ
2nd rowบาท
3rd rowบาท
4th rowบาท
5th rowบาท
ValueCountFrequency (%)
บาท 58
80.6%
ร้อยละ 14
 
19.4%
2026-08-19T07:33:03.298707image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
58
22.5%
58
22.5%
58
22.5%
14
 
5.4%
14
 
5.4%
14
 
5.4%
14
 
5.4%
14
 
5.4%
14
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 244
94.6%
Nonspacing Mark 14
 
5.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
58
23.8%
58
23.8%
58
23.8%
14
 
5.7%
14
 
5.7%
14
 
5.7%
14
 
5.7%
14
 
5.7%
Nonspacing Mark
ValueCountFrequency (%)
14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 258
100.0%

Most frequent character per script

Thai
ValueCountFrequency (%)
58
22.5%
58
22.5%
58
22.5%
14
 
5.4%
14
 
5.4%
14
 
5.4%
14
 
5.4%
14
 
5.4%
14
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Thai 258
100.0%

Most frequent character per block

Thai
ValueCountFrequency (%)
58
22.5%
58
22.5%
58
22.5%
14
 
5.4%
14
 
5.4%
14
 
5.4%
14
 
5.4%
14
 
5.4%
14
 
5.4%