Overview

Dataset statistics

Number of variables7
Number of observations1077
Missing cells462
Missing cells (%)6.1%
Total size in memory59.0 KiB
Average record size in memory56.1 B

Variable types

Numeric2
Text5

Alerts

ประเภทหน่วยงาน has constant value ""Constant
คะแนน has 307 (28.5%) missing valuesMissing
สรุปผลการประเมิน has 155 (14.4%) missing valuesMissing

Reproduction

Analysis started2026-08-19 00:31:09.194879
Analysis finished2026-08-19 00:31:09.656878
Duration0.46 seconds
Software versionydata-profiling vv4.6.4
Download configurationconfig.json

Variables

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2564.868152
Minimum2562
Maximum2567
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2026-08-19T07:31:09.850734image/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 deviation1.805937549
Coefficient of variation (CV)0.0007041054127
Kurtosis-1.348415897
Mean2564.868152
Median Absolute Deviation (MAD)2
Skewness-0.2304006138
Sum2762363
Variance3.26141043
MonotonicityIncreasing
2026-08-19T07:31:10.181724image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2567 310
28.8%
2564 154
14.3%
2565 154
14.3%
2566 154
14.3%
2563 153
14.2%
2562 152
14.1%
ValueCountFrequency (%)
2562 152
14.1%
2563 153
14.2%
2564 154
14.3%
2565 154
14.3%
2566 154
14.3%
ValueCountFrequency (%)
2567 310
28.8%
2566 154
14.3%
2565 154
14.3%
2564 154
14.3%
2563 153
14.2%
Distinct20
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
2026-08-19T07:31:10.747563image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length52
Median length37
Mean length21.64902507
Min length13

Characters and Unicode

Total characters23316
Distinct characters44
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 rowกระทรวงการคลัง
2nd rowกระทรวงการคลัง
3rd rowกระทรวงการคลัง
4th rowกระทรวงการคลัง
5th rowกระทรวงการคลัง
ValueCountFrequency (%)
สำนักนายกรัฐมนตรี 107
 
9.1%
กระทรวงเกษตรและสหกรณ์ 105
 
8.9%
กระทรวงการต่างประเทศ 91
 
7.7%
กระทรวงทรัพยากรธรรมชาติและสิ่งแวดล้อม 70
 
6.0%
กระทรวงยุติธรรม 70
 
6.0%
กระทรวงสาธารณสุข 63
 
5.4%
กระทรวงการคลัง 63
 
5.4%
กระทรวงพาณิชย์ 56
 
4.8%
กระทรวงคมนาคม 55
 
4.7%
กระทรวงมหาดไทย 49
 
4.2%
Other values (13) 446
38.0%
2026-08-19T07:31:11.806943image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3741
16.0%
2094
 
9.0%
1596
 
6.8%
1363
 
5.8%
1358
 
5.8%
1323
 
5.7%
1306
 
5.6%
899
 
3.9%
829
 
3.6%
803
 
3.4%
Other values (34) 8004
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20709
88.8%
Nonspacing Mark 2509
 
10.8%
Space Separator 98
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3741
18.1%
2094
 
10.1%
1596
 
7.7%
1363
 
6.6%
1358
 
6.6%
1323
 
6.4%
1306
 
6.3%
899
 
4.3%
803
 
3.9%
684
 
3.3%
Other values (24) 5542
26.8%
Nonspacing Mark
ValueCountFrequency (%)
829
33.0%
445
17.7%
360
14.3%
252
 
10.0%
231
 
9.2%
191
 
7.6%
73
 
2.9%
70
 
2.8%
58
 
2.3%
Space Separator
ValueCountFrequency (%)
98
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 23218
99.6%
Common 98
 
0.4%

Most frequent character per script

Thai
ValueCountFrequency (%)
3741
16.1%
2094
 
9.0%
1596
 
6.9%
1363
 
5.9%
1358
 
5.8%
1323
 
5.7%
1306
 
5.6%
899
 
3.9%
829
 
3.6%
803
 
3.5%
Other values (33) 7906
34.1%
Common
ValueCountFrequency (%)
98
100.0%

Most occurring blocks

ValueCountFrequency (%)
Thai 23218
99.6%
ASCII 98
 
0.4%

Most frequent character per block

Thai
ValueCountFrequency (%)
3741
16.1%
2094
 
9.0%
1596
 
6.9%
1363
 
5.9%
1358
 
5.8%
1323
 
5.7%
1306
 
5.6%
899
 
3.9%
829
 
3.6%
803
 
3.5%
Other values (33) 7906
34.1%
ASCII
ValueCountFrequency (%)
98
100.0%
Distinct158
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
2026-08-19T07:31:12.557913image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length78
Median length42
Mean length24.40668524
Min length8

Characters and Unicode

Total characters26286
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

Unique2 ?
Unique (%)0.2%

Sample

1st rowสำนักงานปลัดกระทรวงการคลัง
2nd rowสำนักงานเศรษฐกิจการคลัง
3rd rowกรมธนารักษ์
4th rowสำนักงานคณะกรรมการนโยบายรัฐวิสาหกิจ
5th rowสำนักงานบริหารหนี้สาธารณะ
ValueCountFrequency (%)
กรมอุตุนิยมวิทยา 10
 
0.9%
กรมศุลกากร 7
 
0.6%
กรมความร่วมมือระหว่างประเทศ 7
 
0.6%
กรมหม่อนไหม 7
 
0.6%
กรมการกงสุล 7
 
0.6%
กรมธนารักษ์ 7
 
0.6%
สำนักงานคณะกรรมการนโยบายรัฐวิสาหกิจ 7
 
0.6%
สำนักงานบริหารหนี้สาธารณะ 7
 
0.6%
กรมบัญชีกลาง 7
 
0.6%
กรมสรรพากร 7
 
0.6%
Other values (156) 1043
93.5%
2026-08-19T07:31:14.065129image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2927
 
11.1%
2412
 
9.2%
2404
 
9.1%
1669
 
6.3%
1311
 
5.0%
1294
 
4.9%
1188
 
4.5%
1074
 
4.1%
789
 
3.0%
703
 
2.7%
Other values (49) 10515
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22688
86.3%
Nonspacing Mark 3559
 
13.5%
Space Separator 39
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2927
 
12.9%
2412
 
10.6%
2404
 
10.6%
1669
 
7.4%
1311
 
5.8%
1294
 
5.7%
1074
 
4.7%
703
 
3.1%
670
 
3.0%
569
 
2.5%
Other values (37) 7655
33.7%
Nonspacing Mark
ValueCountFrequency (%)
1188
33.4%
789
22.2%
420
 
11.8%
288
 
8.1%
273
 
7.7%
189
 
5.3%
180
 
5.1%
117
 
3.3%
59
 
1.7%
42
 
1.2%
Space Separator
ValueCountFrequency (%)
39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 26247
99.9%
Common 39
 
0.1%

Most frequent character per script

Thai
ValueCountFrequency (%)
2927
 
11.2%
2412
 
9.2%
2404
 
9.2%
1669
 
6.4%
1311
 
5.0%
1294
 
4.9%
1188
 
4.5%
1074
 
4.1%
789
 
3.0%
703
 
2.7%
Other values (48) 10476
39.9%
Common
ValueCountFrequency (%)
39
100.0%

Most occurring blocks

ValueCountFrequency (%)
Thai 26247
99.9%
ASCII 39
 
0.1%

Most frequent character per block

Thai
ValueCountFrequency (%)
2927
 
11.2%
2412
 
9.2%
2404
 
9.2%
1669
 
6.4%
1311
 
5.0%
1294
 
4.9%
1188
 
4.5%
1074
 
4.1%
789
 
3.0%
703
 
2.7%
Other values (48) 10476
39.9%
ASCII
ValueCountFrequency (%)
39
100.0%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
2026-08-19T07:31:14.578639image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length31
Median length31
Mean length31
Min length31

Characters and Unicode

Total characters33387
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 1077
100.0%
2026-08-19T07:31:15.429267image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5385
16.1%
3231
 
9.7%
2154
 
6.5%
2154
 
6.5%
2154
 
6.5%
2154
 
6.5%
2154
 
6.5%
1077
 
3.2%
1077
 
3.2%
1077
 
3.2%
Other values (10) 10770
32.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28002
83.9%
Nonspacing Mark 5385
 
16.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5385
19.2%
3231
11.5%
2154
 
7.7%
2154
 
7.7%
2154
 
7.7%
2154
 
7.7%
1077
 
3.8%
1077
 
3.8%
1077
 
3.8%
1077
 
3.8%
Other values (6) 6462
23.1%
Nonspacing Mark
ValueCountFrequency (%)
2154
40.0%
1077
20.0%
1077
20.0%
1077
20.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 33387
100.0%

Most frequent character per script

Thai
ValueCountFrequency (%)
5385
16.1%
3231
 
9.7%
2154
 
6.5%
2154
 
6.5%
2154
 
6.5%
2154
 
6.5%
2154
 
6.5%
1077
 
3.2%
1077
 
3.2%
1077
 
3.2%
Other values (10) 10770
32.3%

Most occurring blocks

ValueCountFrequency (%)
Thai 33387
100.0%

Most frequent character per block

Thai
ValueCountFrequency (%)
5385
16.1%
3231
 
9.7%
2154
 
6.5%
2154
 
6.5%
2154
 
6.5%
2154
 
6.5%
2154
 
6.5%
1077
 
3.2%
1077
 
3.2%
1077
 
3.2%
Other values (10) 10770
32.3%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.5 KiB
2026-08-19T07:31:15.783181image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.856081708
Min length7

Characters and Unicode

Total characters8461
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 1077
50.0%
12 922
42.8%
6 155
 
7.2%
2026-08-19T07:31:16.496545image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1077
12.7%
1077
12.7%
1077
12.7%
1077
12.7%
1077
12.7%
1077
12.7%
1 922
10.9%
2 922
10.9%
6 155
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4308
50.9%
Decimal Number 1999
23.6%
Space Separator 1077
 
12.7%
Nonspacing Mark 1077
 
12.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1077
25.0%
1077
25.0%
1077
25.0%
1077
25.0%
Decimal Number
ValueCountFrequency (%)
1 922
46.1%
2 922
46.1%
6 155
 
7.8%
Space Separator
ValueCountFrequency (%)
1077
100.0%
Nonspacing Mark
ValueCountFrequency (%)
1077
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 5385
63.6%
Common 3076
36.4%

Most frequent character per script

Thai
ValueCountFrequency (%)
1077
20.0%
1077
20.0%
1077
20.0%
1077
20.0%
1077
20.0%
Common
ValueCountFrequency (%)
1077
35.0%
1 922
30.0%
2 922
30.0%
6 155
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Thai 5385
63.6%
ASCII 3076
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1077
35.0%
1 922
30.0%
2 922
30.0%
6 155
 
5.0%
Thai
ValueCountFrequency (%)
1077
20.0%
1077
20.0%
1077
20.0%
1077
20.0%
1077
20.0%

คะแนน
Real number (ℝ)

MISSING 

Distinct470
Distinct (%)61.0%
Missing307
Missing (%)28.5%
Infinite0
Infinite (%)0.0%
Mean83.46348052
Minimum0
Maximum100
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size8.5 KiB
2026-08-19T07:31:16.952634image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile60
Q170
median86.26
Q396.25
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)26.25

Descriptive statistics

Standard deviation14.45731047
Coefficient of variation (CV)0.1732172009
Kurtosis0.7602369224
Mean83.46348052
Median Absolute Deviation (MAD)11.82
Skewness-0.7967096427
Sum64266.88
Variance209.0138261
MonotonicityNot monotonic
2026-08-19T07:31:17.395094image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 98
 
9.1%
70 79
 
7.3%
95.65 12
 
1.1%
96.25 10
 
0.9%
76.66 8
 
0.7%
65 7
 
0.6%
60 6
 
0.6%
85 6
 
0.6%
90 6
 
0.6%
97.5 6
 
0.6%
Other values (460) 532
49.4%
(Missing) 307
28.5%
ValueCountFrequency (%)
0 1
0.1%
33.75 1
0.1%
36.25 1
0.1%
40 1
0.1%
40.5 1
0.1%
ValueCountFrequency (%)
100 98
9.1%
99.94 1
 
0.1%
99.85 2
 
0.2%
99.84 1
 
0.1%
99.81 1
 
0.1%
Distinct5
Distinct (%)0.5%
Missing155
Missing (%)14.4%
Memory size8.5 KiB
2026-08-19T07:31:17.894518image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length43
Median length19
Mean length23.99566161
Min length11

Characters and Unicode

Total characters22124
Distinct characters37
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 rowระดับคุณภาพ
2nd rowระดับมาตรฐานขั้นสูง
3rd rowระดับมาตรฐานขั้นสูง
4th rowระดับมาตรฐานขั้นสูง
5th rowระดับคุณภาพ
ValueCountFrequency (%)
ระดับคุณภาพ 342
37.1%
เนื่องจากสถานการณ์โควิดจึงไม่มีการประเมินผล 307
33.3%
ระดับมาตรฐานขั้นสูง 188
20.4%
ระดับมาตรฐานขั้นต้น 72
 
7.8%
ระดับต้องปรับปรุง 13
 
1.4%
2026-08-19T07:31:18.808160image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2090
 
9.4%
1822
 
8.2%
1513
 
6.8%
1181
 
5.3%
922
 
4.2%
922
 
4.2%
921
 
4.2%
888
 
4.0%
828
 
3.7%
649
 
2.9%
Other values (27) 10388
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17892
80.9%
Nonspacing Mark 4232
 
19.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2090
 
11.7%
1822
 
10.2%
1513
 
8.5%
1181
 
6.6%
922
 
5.2%
922
 
5.2%
921
 
5.1%
828
 
4.6%
649
 
3.6%
649
 
3.6%
Other values (17) 6395
35.7%
Nonspacing Mark
ValueCountFrequency (%)
888
21.0%
614
14.5%
614
14.5%
355
 
8.4%
345
 
8.2%
307
 
7.3%
307
 
7.3%
307
 
7.3%
307
 
7.3%
188
 
4.4%

Most occurring scripts

ValueCountFrequency (%)
Thai 22124
100.0%

Most frequent character per script

Thai
ValueCountFrequency (%)
2090
 
9.4%
1822
 
8.2%
1513
 
6.8%
1181
 
5.3%
922
 
4.2%
922
 
4.2%
921
 
4.2%
888
 
4.0%
828
 
3.7%
649
 
2.9%
Other values (27) 10388
47.0%

Most occurring blocks

ValueCountFrequency (%)
Thai 22124
100.0%

Most frequent character per block

Thai
ValueCountFrequency (%)
2090
 
9.4%
1822
 
8.2%
1513
 
6.8%
1181
 
5.3%
922
 
4.2%
922
 
4.2%
921
 
4.2%
888
 
4.0%
828
 
3.7%
649
 
2.9%
Other values (27) 10388
47.0%