Overview

Dataset statistics

Number of variables4
Number of observations76
Missing cells0
Missing cells (%)0.0%
Total size in memory2.5 KiB
Average record size in memory33.7 B

Variable types

Numeric1
Text3

Alerts

ลำดับ has unique valuesUnique
จังหวัด has unique valuesUnique

Reproduction

Analysis started2026-08-19 00:34:29.935327
Analysis finished2026-08-19 00:34:30.426333
Duration0.49 seconds
Software versionydata-profiling vv4.6.4
Download configurationconfig.json

Variables

ลำดับ
Real number (ℝ)

UNIQUE 

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.5
Minimum1
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2026-08-19T07:34:30.636563image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.75
Q119.75
median38.5
Q357.25
95-th percentile72.25
Maximum76
Range75
Interquartile range (IQR)37.5

Descriptive statistics

Standard deviation22.0831761
Coefficient of variation (CV)0.5735889896
Kurtosis-1.2
Mean38.5
Median Absolute Deviation (MAD)19
Skewness0
Sum2926
Variance487.6666667
MonotonicityStrictly increasing
2026-08-19T07:34:31.063488image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.3%
49 1
 
1.3%
56 1
 
1.3%
55 1
 
1.3%
54 1
 
1.3%
53 1
 
1.3%
52 1
 
1.3%
51 1
 
1.3%
50 1
 
1.3%
48 1
 
1.3%
Other values (66) 66
86.8%
ValueCountFrequency (%)
1 1
1.3%
2 1
1.3%
3 1
1.3%
4 1
1.3%
5 1
1.3%
ValueCountFrequency (%)
76 1
1.3%
75 1
1.3%
74 1
1.3%
73 1
1.3%
72 1
1.3%
Distinct18
Distinct (%)23.7%
Missing0
Missing (%)0.0%
Memory size736.0 B
2026-08-19T07:34:31.541818image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length42
Median length29
Mean length30.71052632
Min length24

Characters and Unicode

Total characters2334
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 rowกลุ่มจังหวัดภาคกลางปริมณฑล
2nd rowกลุ่มจังหวัดภาคกลางปริมณฑล
3rd rowกลุ่มจังหวัดภาคกลางปริมณฑล
4th rowกลุ่มจังหวัดภาคกลางปริมณฑล
5th rowกลุ่มจังหวัดภาคกลางตอนบน
ValueCountFrequency (%)
1 24
19.4%
2 24
19.4%
กลุ่มจังหวัดภาคเหนือตอนล่าง 9
 
7.3%
กลุ่มจังหวัดภาคตะวันออกเฉียงเหนือตอนบน 8
 
6.5%
กลุ่มจังหวัดภาคตะวันออก 8
 
6.5%
กลุ่มจังหวัดภาคเหนือตอนบน 8
 
6.5%
กลุ่มจังหวัดภาคตะวันออกเฉียงเหนือตอนล่าง 8
 
6.5%
กลุ่มจังหวัดภาคกลางตอนล่าง 7
 
5.6%
กลุ่มจังหวัดภาคใต้ฝั่งอันดามัน 6
 
4.8%
กลุ่มจังหวัดภาคกลางตอนบน 6
 
4.8%
Other values (4) 16
12.9%
2026-08-19T07:34:32.431714image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
203
 
8.7%
154
 
6.6%
152
 
6.5%
152
 
6.5%
135
 
5.8%
125
 
5.4%
125
 
5.4%
116
 
5.0%
113
 
4.8%
109
 
4.7%
Other values (29) 950
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1768
75.7%
Nonspacing Mark 470
 
20.1%
Space Separator 48
 
2.1%
Decimal Number 48
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
154
 
8.7%
152
 
8.6%
152
 
8.6%
135
 
7.6%
125
 
7.1%
125
 
7.1%
113
 
6.4%
109
 
6.2%
92
 
5.2%
86
 
4.9%
Other values (19) 525
29.7%
Nonspacing Mark
ValueCountFrequency (%)
203
43.2%
116
24.7%
76
 
16.2%
37
 
7.9%
20
 
4.3%
14
 
3.0%
4
 
0.9%
Decimal Number
ValueCountFrequency (%)
2 24
50.0%
1 24
50.0%
Space Separator
ValueCountFrequency (%)
48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 2238
95.9%
Common 96
 
4.1%

Most frequent character per script

Thai
ValueCountFrequency (%)
203
 
9.1%
154
 
6.9%
152
 
6.8%
152
 
6.8%
135
 
6.0%
125
 
5.6%
125
 
5.6%
116
 
5.2%
113
 
5.0%
109
 
4.9%
Other values (26) 854
38.2%
Common
ValueCountFrequency (%)
48
50.0%
2 24
25.0%
1 24
25.0%

Most occurring blocks

ValueCountFrequency (%)
Thai 2238
95.9%
ASCII 96
 
4.1%

Most frequent character per block

Thai
ValueCountFrequency (%)
203
 
9.1%
154
 
6.9%
152
 
6.8%
152
 
6.8%
135
 
6.0%
125
 
5.6%
125
 
5.6%
116
 
5.2%
113
 
5.0%
109
 
4.9%
Other values (26) 854
38.2%
ASCII
ValueCountFrequency (%)
48
50.0%
2 24
25.0%
1 24
25.0%
Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size736.0 B
2026-08-19T07:34:32.834048image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length19
Median length7
Mean length9.842105263
Min length7

Characters and Unicode

Total characters748
Distinct characters14
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 rowหัวหน้ากลุ่มจังหวัด
2nd rowจังหวัด
3rd rowจังหวัด
4th rowจังหวัด
5th rowหัวหน้ากลุ่มจังหวัด
ValueCountFrequency (%)
จังหวัด 58
76.3%
หัวหน้ากลุ่มจังหวัด 18
 
23.7%
2026-08-19T07:34:33.553454image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
170
22.7%
112
15.0%
94
12.6%
76
10.2%
76
10.2%
76
10.2%
18
 
2.4%
18
 
2.4%
18
 
2.4%
18
 
2.4%
Other values (4) 72
9.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 524
70.1%
Nonspacing Mark 224
29.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
112
21.4%
94
17.9%
76
14.5%
76
14.5%
76
14.5%
18
 
3.4%
18
 
3.4%
18
 
3.4%
18
 
3.4%
18
 
3.4%
Nonspacing Mark
ValueCountFrequency (%)
170
75.9%
18
 
8.0%
18
 
8.0%
18
 
8.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 748
100.0%

Most frequent character per script

Thai
ValueCountFrequency (%)
170
22.7%
112
15.0%
94
12.6%
76
10.2%
76
10.2%
76
10.2%
18
 
2.4%
18
 
2.4%
18
 
2.4%
18
 
2.4%
Other values (4) 72
9.6%

Most occurring blocks

ValueCountFrequency (%)
Thai 748
100.0%

Most frequent character per block

Thai
ValueCountFrequency (%)
170
22.7%
112
15.0%
94
12.6%
76
10.2%
76
10.2%
76
10.2%
18
 
2.4%
18
 
2.4%
18
 
2.4%
18
 
2.4%
Other values (4) 72
9.6%
Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size736.0 B
2026-08-19T07:34:34.463352image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length15
Median length11
Mean length7.539473684
Min length3

Characters and Unicode

Total characters573
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

Unique76 ?
Unique (%)100.0%

Sample

1st rowนครปฐม
2nd rowนนทบุรี
3rd rowปทุมธานี
4th rowสมุทรปราการ
5th rowพระนครศรีอยุธยา
ValueCountFrequency (%)
นครปฐม 1
 
1.3%
อ่างทอง 1
 
1.3%
ปทุมธานี 1
 
1.3%
สมุทรปราการ 1
 
1.3%
พระนครศรีอยุธยา 1
 
1.3%
สระบุรี 1
 
1.3%
ลพบุรี 1
 
1.3%
ชัยนาท 1
 
1.3%
สิงห์บุรี 1
 
1.3%
ราชบุรี 1
 
1.3%
Other values (66) 66
86.8%
2026-08-19T07:34:35.782578image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
73
 
12.7%
43
 
7.5%
36
 
6.3%
30
 
5.2%
28
 
4.9%
23
 
4.0%
20
 
3.5%
18
 
3.1%
18
 
3.1%
17
 
3.0%
Other values (40) 267
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 464
81.0%
Nonspacing Mark 109
 
19.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
73
 
15.7%
43
 
9.3%
36
 
7.8%
23
 
5.0%
20
 
4.3%
18
 
3.9%
18
 
3.9%
17
 
3.7%
17
 
3.7%
16
 
3.4%
Other values (30) 183
39.4%
Nonspacing Mark
ValueCountFrequency (%)
30
27.5%
28
25.7%
12
 
11.0%
11
 
10.1%
9
 
8.3%
8
 
7.3%
6
 
5.5%
2
 
1.8%
2
 
1.8%
1
 
0.9%

Most occurring scripts

ValueCountFrequency (%)
Thai 573
100.0%

Most frequent character per script

Thai
ValueCountFrequency (%)
73
 
12.7%
43
 
7.5%
36
 
6.3%
30
 
5.2%
28
 
4.9%
23
 
4.0%
20
 
3.5%
18
 
3.1%
18
 
3.1%
17
 
3.0%
Other values (40) 267
46.6%

Most occurring blocks

ValueCountFrequency (%)
Thai 573
100.0%

Most frequent character per block

Thai
ValueCountFrequency (%)
73
 
12.7%
43
 
7.5%
36
 
6.3%
30
 
5.2%
28
 
4.9%
23
 
4.0%
20
 
3.5%
18
 
3.1%
18
 
3.1%
17
 
3.0%
Other values (40) 267
46.6%