Overview

Dataset statistics

Number of variables7
Number of observations247
Missing cells376
Missing cells (%)21.7%
Total size in memory13.6 KiB
Average record size in memory56.5 B

Variable types

Numeric3
Text4

Alerts

ข้อประเด็น has 133 (53.8%) missing valuesMissing
ข้อคำถาม has 202 (81.8%) missing valuesMissing
ผลสำรวจ has 9 (3.6%) missing valuesMissing
value has 17 (6.9%) missing valuesMissing
unit has 15 (6.1%) missing valuesMissing

Reproduction

Analysis started2026-08-19 00:34:12.444838
Analysis finished2026-08-19 00:34:12.829618
Duration0.38 seconds
Software versionydata-profiling vv4.6.4
Download configurationconfig.json

Variables

ข้อประเด็น
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)13.2%
Missing133
Missing (%)53.8%
Infinite0
Infinite (%)0.0%
Mean7.442105263
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2026-08-19T07:34:13.020157image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median9
Q39.3
95-th percentile11
Maximum11
Range10
Interquartile range (IQR)3.3

Descriptive statistics

Standard deviation2.7425166
Coefficient of variation (CV)0.3685135459
Kurtosis-0.5036649486
Mean7.442105263
Median Absolute Deviation (MAD)1
Skewness-0.8435908693
Sum848.4
Variance7.521397299
MonotonicityNot monotonic
2026-08-19T07:34:13.329227image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
9 19
 
7.7%
4 12
 
4.9%
6 11
 
4.5%
9.3 11
 
4.5%
9.4 8
 
3.2%
10 8
 
3.2%
9.2 7
 
2.8%
11 7
 
2.8%
3 6
 
2.4%
8 6
 
2.4%
Other values (5) 19
 
7.7%
(Missing) 133
53.8%
ValueCountFrequency (%)
1 4
 
1.6%
2 3
 
1.2%
3 6
2.4%
4 12
4.9%
5 3
 
1.2%
ValueCountFrequency (%)
11 7
2.8%
10 8
3.2%
9.4 8
3.2%
9.3 11
4.5%
9.2 7
2.8%

ข้อคำถาม
Text

MISSING 

Distinct11
Distinct (%)24.4%
Missing202
Missing (%)81.8%
Memory size2.1 KiB
2026-08-19T07:34:13.755685image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.444444444
Min length3

Characters and Unicode

Total characters155
Distinct characters6
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

Unique2 ?
Unique (%)4.4%

Sample

1st row5.4
2nd row5.4
3rd row1.1
4th row1.1
5th row1.1
ValueCountFrequency (%)
1.1 7
15.6%
3.2 6
13.3%
4.1 6
13.3%
1.2 5
11.1%
3.1.1 5
11.1%
4.2 5
11.1%
5.4 4
8.9%
3.1.3 3
6.7%
3.1.2 2
 
4.4%
2.1 1
 
2.2%
2026-08-19T07:34:14.719030image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 55
35.5%
1 41
26.5%
3 21
 
13.5%
2 19
 
12.3%
4 15
 
9.7%
5 4
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 100
64.5%
Other Punctuation 55
35.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 41
41.0%
3 21
21.0%
2 19
19.0%
4 15
 
15.0%
5 4
 
4.0%
Other Punctuation
ValueCountFrequency (%)
. 55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 155
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 55
35.5%
1 41
26.5%
3 21
 
13.5%
2 19
 
12.3%
4 15
 
9.7%
5 4
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 155
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 55
35.5%
1 41
26.5%
3 21
 
13.5%
2 19
 
12.3%
4 15
 
9.7%
5 4
 
2.6%

ประเด็น
Text

Distinct16
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2026-08-19T07:34:15.375820image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length56
Median length35
Mean length29.05263158
Min length10

Characters and Unicode

Total characters7176
Distinct characters53
Distinct categories8 ?
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 rowจำนวนกลุ่มตัวอย่าง
2nd rowรูปแบบการสำรวจ
3rd rowพื้นที่ใช้บริการ
4th rowพื้นที่ใช้บริการ
5th rowช่องทางที่ประชาชนมาใช้บริการ
ValueCountFrequency (%)
5 33
10.0%
ผลความพึงพอใจรายด้าน 31
 
9.4%
ช่องทางที่ประชาชนมาใช้บริการ 28
 
8.5%
งานบริการที่ประชาชนใช้บริการสูงสุด 26
 
7.9%
อันดับ 26
 
7.9%
ด้านขั้นตอนและระยะเวลาการให้บริการ 26
 
7.9%
ช่องทางออนไลน์ 25
 
7.6%
งานบริการภาครัฐที่ควรมีการปรับปรุง 23
 
7.0%
ด้านสถานที่และการอำนวยความสะดวก 16
 
4.8%
ด้านเจ้าหน้าที่ให้บริการ 14
 
4.2%
Other values (12) 82
24.8%
2026-08-19T07:34:16.389984image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
า 776
 
10.8%
ร 701
 
9.8%
น 450
 
6.3%
้ 318
 
4.4%
ง 292
 
4.1%
ก 292
 
4.1%
อ 266
 
3.7%
ช 263
 
3.7%
บ 260
 
3.6%
่ 218
 
3.0%
Other values (43) 3340
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5648
78.7%
Nonspacing Mark 1253
 
17.5%
Space Separator 176
 
2.5%
Lowercase Letter 49
 
0.7%
Decimal Number 33
 
0.5%
Dash Punctuation 7
 
0.1%
Uppercase Letter 7
 
0.1%
Modifier Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
า 776
 
13.7%
ร 701
 
12.4%
น 450
 
8.0%
ง 292
 
5.2%
ก 292
 
5.2%
อ 266
 
4.7%
ช 263
 
4.7%
บ 260
 
4.6%
ท 197
 
3.5%
ะ 188
 
3.3%
Other values (22) 1963
34.8%
Nonspacing Mark
ValueCountFrequency (%)
้ 318
25.4%
่ 218
17.4%
ิ 174
13.9%
ี 167
13.3%
ั 149
11.9%
ุ 62
 
4.9%
ู 51
 
4.1%
ึ 49
 
3.9%
ื 33
 
2.6%
์ 25
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
e 21
42.9%
r 7
 
14.3%
v 7
 
14.3%
i 7
 
14.3%
c 7
 
14.3%
Space Separator
ValueCountFrequency (%)
176
100.0%
Decimal Number
ValueCountFrequency (%)
5 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 7
100.0%
Modifier Letter
ValueCountFrequency (%)
ๆ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 6904
96.2%
Common 216
 
3.0%
Latin 56
 
0.8%

Most frequent character per script

Thai
ValueCountFrequency (%)
า 776
 
11.2%
ร 701
 
10.2%
น 450
 
6.5%
้ 318
 
4.6%
ง 292
 
4.2%
ก 292
 
4.2%
อ 266
 
3.9%
ช 263
 
3.8%
บ 260
 
3.8%
่ 218
 
3.2%
Other values (34) 3068
44.4%
Latin
ValueCountFrequency (%)
e 21
37.5%
S 7
 
12.5%
r 7
 
12.5%
v 7
 
12.5%
i 7
 
12.5%
c 7
 
12.5%
Common
ValueCountFrequency (%)
176
81.5%
5 33
 
15.3%
- 7
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Thai 6904
96.2%
ASCII 272
 
3.8%

Most frequent character per block

Thai
ValueCountFrequency (%)
า 776
 
11.2%
ร 701
 
10.2%
น 450
 
6.5%
้ 318
 
4.6%
ง 292
 
4.2%
ก 292
 
4.2%
อ 266
 
3.9%
ช 263
 
3.8%
บ 260
 
3.8%
่ 218
 
3.2%
Other values (34) 3068
44.4%
ASCII
ValueCountFrequency (%)
176
64.7%
5 33
 
12.1%
e 21
 
7.7%
- 7
 
2.6%
S 7
 
2.6%
r 7
 
2.6%
v 7
 
2.6%
i 7
 
2.6%
c 7
 
2.6%

ปี
Real number (ℝ)

Distinct6
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2564.352227
Minimum2560
Maximum2567
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2026-08-19T07:34:16.754194image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2560
5-th percentile2560
Q12564
median2565
Q32566
95-th percentile2567
Maximum2567
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.17371238
Coefficient of variation (CV)0.0008476652922
Kurtosis-0.5110802686
Mean2564.352227
Median Absolute Deviation (MAD)1
Skewness-0.6871172203
Sum633395
Variance4.725025509
MonotonicityIncreasing
2026-08-19T07:34:17.068204image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2564 51
20.6%
2565 49
19.8%
2567 44
17.8%
2566 42
17.0%
2562 33
13.4%
2560 28
11.3%
ValueCountFrequency (%)
2560 28
11.3%
2562 33
13.4%
2564 51
20.6%
2565 49
19.8%
2566 42
17.0%
ValueCountFrequency (%)
2567 44
17.8%
2566 42
17.0%
2565 49
19.8%
2564 51
20.6%
2562 33
13.4%

ผลสำรวจ
Text

MISSING 

Distinct125
Distinct (%)52.5%
Missing9
Missing (%)3.6%
Memory size2.1 KiB
2026-08-19T07:34:17.619543image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length84
Median length40
Mean length23.31512605
Min length1

Characters and Unicode

Total characters5549
Distinct characters60
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)33.6%

Sample

1st rowสำรวจ ณ สถานที่ให้บริการโดยการแจกแบบสำรวจ/สอบถามประชาชนโดยตรง
2nd rowกรุงเทพฯ
3rd rowภูมิภาค
4th rowไม่มีการสำรวจ
5th row-
ValueCountFrequency (%)
กรุงเทพฯ 12
 
4.2%
ภูมิภาค 12
 
4.2%
ไม่มีการสำรวจ 8
 
2.8%
ด้านสุขภาพ 8
 
2.8%
ด้านงานทะเบียนราษฎร 8
 
2.8%
ณ 7
 
2.4%
ร้อยละที่ได้ 6
 
2.1%
ด้านสถานที่และการอำนวยความสะดวก 5
 
1.7%
ด้านเจ้าหน้าที่ที่ให้บริการ 5
 
1.7%
ด้านขั้นตอนและระยะเวลาการให้บริการ 5
 
1.7%
Other values (124) 210
73.4%
2026-08-19T07:34:18.761401image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
า 603
 
10.9%
ร 534
 
9.6%
น 336
 
6.1%
ก 298
 
5.4%
้ 226
 
4.1%
ด 195
 
3.5%
บ 181
 
3.3%
ว 173
 
3.1%
อ 173
 
3.1%
ม 170
 
3.1%
Other values (50) 2660
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4524
81.5%
Nonspacing Mark 897
 
16.2%
Space Separator 82
 
1.5%
Other Punctuation 28
 
0.5%
Open Punctuation 6
 
0.1%
Close Punctuation 6
 
0.1%
Dash Punctuation 3
 
0.1%
Modifier Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
า 603
 
13.3%
ร 534
 
11.8%
น 336
 
7.4%
ก 298
 
6.6%
ด 195
 
4.3%
บ 181
 
4.0%
ว 173
 
3.8%
อ 173
 
3.8%
ม 170
 
3.8%
ง 132
 
2.9%
Other values (32) 1729
38.2%
Nonspacing Mark
ValueCountFrequency (%)
้ 226
25.2%
่ 156
17.4%
ิ 152
16.9%
ี 97
10.8%
ั 88
 
9.8%
ุ 48
 
5.4%
ู 39
 
4.3%
์ 36
 
4.0%
็ 31
 
3.5%
ื 17
 
1.9%
Other Punctuation
ValueCountFrequency (%)
/ 19
67.9%
, 9
32.1%
Space Separator
ValueCountFrequency (%)
82
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Modifier Letter
ValueCountFrequency (%)
ๆ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 5424
97.7%
Common 125
 
2.3%

Most frequent character per script

Thai
ValueCountFrequency (%)
า 603
 
11.1%
ร 534
 
9.8%
น 336
 
6.2%
ก 298
 
5.5%
้ 226
 
4.2%
ด 195
 
3.6%
บ 181
 
3.3%
ว 173
 
3.2%
อ 173
 
3.2%
ม 170
 
3.1%
Other values (44) 2535
46.7%
Common
ValueCountFrequency (%)
82
65.6%
/ 19
 
15.2%
, 9
 
7.2%
( 6
 
4.8%
) 6
 
4.8%
- 3
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Thai 5424
97.7%
ASCII 125
 
2.3%

Most frequent character per block

Thai
ValueCountFrequency (%)
า 603
 
11.1%
ร 534
 
9.8%
น 336
 
6.2%
ก 298
 
5.5%
้ 226
 
4.2%
ด 195
 
3.6%
บ 181
 
3.3%
ว 173
 
3.2%
อ 173
 
3.2%
ม 170
 
3.1%
Other values (44) 2535
46.7%
ASCII
ValueCountFrequency (%)
82
65.6%
/ 19
 
15.2%
, 9
 
7.2%
( 6
 
4.8%
) 6
 
4.8%
- 3
 
2.4%

value
Real number (ℝ)

MISSING 

Distinct212
Distinct (%)92.2%
Missing17
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean191.0330548
Minimum0.0028
Maximum10422
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2026-08-19T07:34:19.220365image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.0028
5-th percentile0.060065
Q10.3317
median0.8038
Q30.83015
95-th percentile0.90217
Maximum10422
Range10421.9972
Interquartile range (IQR)0.49845

Descriptive statistics

Standard deviation1245.74114
Coefficient of variation (CV)6.521076374
Kurtosis48.62786007
Mean191.0330548
Median Absolute Deviation (MAD)0.0443
Skewness6.935819753
Sum43937.6026
Variance1551870.989
MonotonicityNot monotonic
2026-08-19T07:34:19.646942image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.061 3
 
1.2%
0.8475 2
 
0.8%
0.8098 2
 
0.8%
0.8238 2
 
0.8%
0.1374 2
 
0.8%
0.8273 2
 
0.8%
0.0208 2
 
0.8%
0.8324 2
 
0.8%
0.8575 2
 
0.8%
0.8285 2
 
0.8%
Other values (202) 209
84.6%
(Missing) 17
 
6.9%
ValueCountFrequency (%)
0.0028 1
0.4%
0.0208 2
0.8%
0.0212 1
0.4%
0.0313 1
0.4%
0.0315 1
0.4%
ValueCountFrequency (%)
10422 1
0.4%
9815 1
0.4%
8158 1
0.4%
8093 1
0.4%
3893 1
0.4%

unit
Text

MISSING 

Distinct3
Distinct (%)1.3%
Missing15
Missing (%)6.1%
Memory size2.1 KiB
2026-08-19T07:34:20.066321image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.81465517
Min length6

Characters and Unicode

Total characters2509
Distinct characters17
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 rowตัวอย่าง
2nd rowเปอร์เซ็นต์
3rd rowเปอร์เซ็นต์
4th rowเปอร์เซ็นต์
5th rowเปอร์เซ็นต์
ValueCountFrequency (%)
เปอร์เซ็นต์ 221
95.3%
ตัวอย่าง 6
 
2.6%
อันดับ 5
 
2.2%
2026-08-19T07:34:20.947361image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
เ 442
17.6%
์ 442
17.6%
อ 232
9.2%
ต 227
9.0%
น 226
9.0%
ร 221
8.8%
ซ 221
8.8%
็ 221
8.8%
ป 221
8.8%
ั 16
 
0.6%
Other values (7) 40
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1824
72.7%
Nonspacing Mark 685
 
27.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
เ 442
24.2%
อ 232
12.7%
ต 227
12.4%
น 226
12.4%
ร 221
12.1%
ซ 221
12.1%
ป 221
12.1%
ว 6
 
0.3%
ย 6
 
0.3%
า 6
 
0.3%
Other values (3) 16
 
0.9%
Nonspacing Mark
ValueCountFrequency (%)
์ 442
64.5%
็ 221
32.3%
ั 16
 
2.3%
่ 6
 
0.9%

Most occurring scripts

ValueCountFrequency (%)
Thai 2509
100.0%

Most frequent character per script

Thai
ValueCountFrequency (%)
เ 442
17.6%
์ 442
17.6%
อ 232
9.2%
ต 227
9.0%
น 226
9.0%
ร 221
8.8%
ซ 221
8.8%
็ 221
8.8%
ป 221
8.8%
ั 16
 
0.6%
Other values (7) 40
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Thai 2509
100.0%

Most frequent character per block

Thai
ValueCountFrequency (%)
เ 442
17.6%
์ 442
17.6%
อ 232
9.2%
ต 227
9.0%
น 226
9.0%
ร 221
8.8%
ซ 221
8.8%
็ 221
8.8%
ป 221
8.8%
ั 16
 
0.6%
Other values (7) 40
 
1.6%