Overview

Dataset statistics

Number of variables13
Number of observations163
Missing cells20
Missing cells (%)0.9%
Total size in memory16.7 KiB
Average record size in memory104.8 B

Variable types

Text13

Alerts

d_address_no has 3 (1.8%) missing valuesMissing
d_address_building has 3 (1.8%) missing valuesMissing
d_address_floor has 13 (8.0%) missing valuesMissing
d_name has unique valuesUnique
d_address_contact_website has unique valuesUnique
d_address_contact_email has unique valuesUnique

Reproduction

Analysis started2026-08-19 00:29:15.417070
Analysis finished2026-08-19 00:29:16.647143
Duration1.23 second
Software versionydata-profiling vv4.6.4
Download configurationconfig.json

Variables

m_name
Text

Distinct21
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2026-08-19T07:29:17.100693image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length54
Median length37
Mean length21.51533742
Min length13

Characters and Unicode

Total characters3507
Distinct characters45
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 rowสำนักนายกรัฐมนตรี
2nd rowสำนักนายกรัฐมนตรี
3rd rowสำนักนายกรัฐมนตรี
4th rowสำนักนายกรัฐมนตรี
5th rowสำนักนายกรัฐมนตรี
ValueCountFrequency (%)
สำนักนายกรัฐมนตรี 18
 
9.4%
กระทรวงเกษตรและสหกรณ์ 15
 
7.8%
กระทรวงการต่างประเทศ 13
 
6.8%
กระทรวงทรัพยากรธรรมชาติและสิ่งแวดล้อม 10
 
5.2%
กระทรวงยุติธรรม 10
 
5.2%
กระทรวงการคลัง 9
 
4.7%
กระทรวงสาธารณสุข 9
 
4.7%
กระทรวงพาณิชย์ 8
 
4.2%
กระทรวงคมนาคม 8
 
4.2%
ทบวง 7
 
3.6%
Other values (16) 85
44.3%
2026-08-19T07:29:18.081222image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
ร 544
15.5%
ก 321
 
9.2%
ง 243
 
6.9%
ะ 207
 
5.9%
า 200
 
5.7%
ท 196
 
5.6%
ว 195
 
5.6%
ม 145
 
4.1%
น 134
 
3.8%
ั 127
 
3.6%
Other values (35) 1195
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3112
88.7%
Nonspacing Mark 366
 
10.4%
Space Separator 29
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ร 544
17.5%
ก 321
 
10.3%
ง 243
 
7.8%
ะ 207
 
6.7%
า 200
 
6.4%
ท 196
 
6.3%
ว 195
 
6.3%
ม 145
 
4.7%
น 134
 
4.3%
ส 96
 
3.1%
Other values (25) 831
26.7%
Nonspacing Mark
ValueCountFrequency (%)
ั 127
34.7%
ิ 63
17.2%
่ 53
14.5%
ุ 36
 
9.8%
์ 33
 
9.0%
ี 31
 
8.5%
้ 10
 
2.7%
ึ 9
 
2.5%
ื 4
 
1.1%
Space Separator
ValueCountFrequency (%)
29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 3478
99.2%
Common 29
 
0.8%

Most frequent character per script

Thai
ValueCountFrequency (%)
ร 544
15.6%
ก 321
 
9.2%
ง 243
 
7.0%
ะ 207
 
6.0%
า 200
 
5.8%
ท 196
 
5.6%
ว 195
 
5.6%
ม 145
 
4.2%
น 134
 
3.9%
ั 127
 
3.7%
Other values (34) 1166
33.5%
Common
ValueCountFrequency (%)
29
100.0%

Most occurring blocks

ValueCountFrequency (%)
Thai 3478
99.2%
ASCII 29
 
0.8%

Most frequent character per block

Thai
ValueCountFrequency (%)
ร 544
15.6%
ก 321
 
9.2%
ง 243
 
7.0%
ะ 207
 
6.0%
า 200
 
5.8%
ท 196
 
5.6%
ว 195
 
5.6%
ม 145
 
4.2%
น 134
 
3.9%
ั 127
 
3.7%
Other values (34) 1166
33.5%
ASCII
ValueCountFrequency (%)
29
100.0%

d_name
Text

UNIQUE 

Distinct163
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2026-08-19T07:29:18.921024image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length78
Median length42
Mean length24.49693252
Min length8

Characters and Unicode

Total characters3993
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

Unique163 ?
Unique (%)100.0%

Sample

1st rowสำนักงานขับเคลื่อนการปฏิรูปประเทศ ยุทธศาสตร์ชาติ และการสร้างความสามัคคีปรองดอง
2nd rowสำนักงานคณะกรรมการนโยบายที่ดินแห่งชาติ
3rd rowศูนย์อำนวยการรักษาผลประโยชน์ของชาติทางทะเล
4th rowสำนักเลขาธิการนายกรัฐมนตรี
5th rowสำนักเลขาธิการคณะรัฐมนตรี
ValueCountFrequency (%)
สำนักงานขับเคลื่อนการปฏิรูปประเทศ 1
 
0.6%
สำนักงานสภาความมั่นคงแห่งชาติ 1
 
0.6%
กองทัพบก 1
 
0.6%
กองบัญชาการกองทัพไทย 1
 
0.6%
สำนักงานคณะกรรมการข้าราชการพลเรือน 1
 
0.6%
ศูนย์อำนวยการรักษาผลประโยชน์ของชาติทางทะเล 1
 
0.6%
สำนักเลขาธิการนายกรัฐมนตรี 1
 
0.6%
สำนักเลขาธิการคณะรัฐมนตรี 1
 
0.6%
สำนักข่าวกรองแห่งชาติ 1
 
0.6%
สำนักงบประมาณ 1
 
0.6%
Other values (159) 159
94.1%
2026-08-19T07:29:20.320195image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
ร 437
 
10.9%
า 370
 
9.3%
ก 366
 
9.2%
น 252
 
6.3%
ง 201
 
5.0%
ม 192
 
4.8%
ั 183
 
4.6%
ส 158
 
4.0%
ิ 116
 
2.9%
ะ 105
 
2.6%
Other values (49) 1613
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3450
86.4%
Nonspacing Mark 537
 
13.4%
Space Separator 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ร 437
 
12.7%
า 370
 
10.7%
ก 366
 
10.6%
น 252
 
7.3%
ง 201
 
5.8%
ม 192
 
5.6%
ส 158
 
4.6%
ะ 105
 
3.0%
ล 102
 
3.0%
ท 90
 
2.6%
Other values (37) 1177
34.1%
Nonspacing Mark
ValueCountFrequency (%)
ั 183
34.1%
ิ 116
21.6%
่ 64
 
11.9%
ุ 40
 
7.4%
้ 40
 
7.4%
ี 29
 
5.4%
์ 28
 
5.2%
ื 18
 
3.4%
ู 11
 
2.0%
ึ 6
 
1.1%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 3987
99.8%
Common 6
 
0.2%

Most frequent character per script

Thai
ValueCountFrequency (%)
ร 437
 
11.0%
า 370
 
9.3%
ก 366
 
9.2%
น 252
 
6.3%
ง 201
 
5.0%
ม 192
 
4.8%
ั 183
 
4.6%
ส 158
 
4.0%
ิ 116
 
2.9%
ะ 105
 
2.6%
Other values (48) 1607
40.3%
Common
ValueCountFrequency (%)
6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Thai 3987
99.8%
ASCII 6
 
0.2%

Most frequent character per block

Thai
ValueCountFrequency (%)
ร 437
 
11.0%
า 370
 
9.3%
ก 366
 
9.2%
น 252
 
6.3%
ง 201
 
5.0%
ม 192
 
4.8%
ั 183
 
4.6%
ส 158
 
4.0%
ิ 116
 
2.9%
ะ 105
 
2.6%
Other values (48) 1607
40.3%
ASCII
ValueCountFrequency (%)
6
100.0%

d_address_no
Text

MISSING 

Distinct92
Distinct (%)57.5%
Missing3
Missing (%)1.8%
Memory size1.4 KiB
2026-08-19T07:29:21.267164image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length54
Median length31
Mean length4.90625
Min length1

Characters and Unicode

Total characters785
Distinct characters58
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)46.9%

Sample

1st row59
2nd row428
3rd row72
4th row1
5th row1
ValueCountFrequency (%)
23
 
11.2%
443 11
 
5.4%
120 8
 
3.9%
หมู่ 8
 
3.9%
563 8
 
3.9%
1 6
 
2.9%
4 6
 
2.9%
1034 5
 
2.4%
75/6 5
 
2.4%
3 5
 
2.4%
Other values (100) 120
58.5%
2026-08-19T07:29:22.554682image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 77
 
9.8%
4 61
 
7.8%
2 56
 
7.1%
3 52
 
6.6%
5 50
 
6.4%
45
 
5.7%
0 38
 
4.8%
/ 38
 
4.8%
8 36
 
4.6%
- 26
 
3.3%
Other values (48) 306
39.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 442
56.3%
Other Letter 178
22.7%
Space Separator 49
 
6.2%
Nonspacing Mark 47
 
6.0%
Other Punctuation 41
 
5.2%
Dash Punctuation 26
 
3.3%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ร 18
 
10.1%
ม 16
 
9.0%
ย 15
 
8.4%
า 14
 
7.9%
ห 14
 
7.9%
อ 11
 
6.2%
น 9
 
5.1%
ซ 9
 
5.1%
ล 7
 
3.9%
พ 6
 
3.4%
Other values (23) 59
33.1%
Decimal Number
ValueCountFrequency (%)
1 77
17.4%
4 61
13.8%
2 56
12.7%
3 52
11.8%
5 50
11.3%
0 38
8.6%
8 36
8.1%
7 26
 
5.9%
6 25
 
5.7%
9 21
 
4.8%
Nonspacing Mark
ValueCountFrequency (%)
ู 14
29.8%
่ 13
27.7%
ิ 8
17.0%
ี 4
 
8.5%
์ 4
 
8.5%
ุ 2
 
4.3%
ั 1
 
2.1%
้ 1
 
2.1%
Space Separator
ValueCountFrequency (%)
45
91.8%
  4
 
8.2%
Other Punctuation
ValueCountFrequency (%)
/ 38
92.7%
. 3
 
7.3%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 560
71.3%
Thai 225
28.7%

Most frequent character per script

Thai
ValueCountFrequency (%)
ร 18
 
8.0%
ม 16
 
7.1%
ย 15
 
6.7%
ู 14
 
6.2%
า 14
 
6.2%
ห 14
 
6.2%
่ 13
 
5.8%
อ 11
 
4.9%
น 9
 
4.0%
ซ 9
 
4.0%
Other values (31) 92
40.9%
Common
ValueCountFrequency (%)
1 77
13.8%
4 61
10.9%
2 56
10.0%
3 52
9.3%
5 50
8.9%
45
8.0%
0 38
6.8%
/ 38
6.8%
8 36
6.4%
- 26
 
4.6%
Other values (7) 81
14.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 556
70.8%
Thai 225
28.7%
None 4
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 77
13.8%
4 61
11.0%
2 56
10.1%
3 52
9.4%
5 50
9.0%
45
8.1%
0 38
6.8%
/ 38
6.8%
8 36
6.5%
- 26
 
4.7%
Other values (6) 77
13.8%
Thai
ValueCountFrequency (%)
ร 18
 
8.0%
ม 16
 
7.1%
ย 15
 
6.7%
ู 14
 
6.2%
า 14
 
6.2%
ห 14
 
6.2%
่ 13
 
5.8%
อ 11
 
4.9%
น 9
 
4.0%
ซ 9
 
4.0%
Other values (31) 92
40.9%
None
ValueCountFrequency (%)
  4
100.0%

d_address_building
Text

MISSING 

Distinct39
Distinct (%)24.4%
Missing3
Missing (%)1.8%
Memory size1.4 KiB
2026-08-19T07:29:23.183962image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length102
Median length1
Mean length8.9625
Min length1

Characters and Unicode

Total characters1434
Distinct characters79
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)21.9%

Sample

1st rowอาคารสำนักงาน ก.พ. (เดิม)
2nd rowสำนักงานชั่วคราว สคทช. อาคารอารีย์ ฮิลส์
3rd rowอาคาร NT บางรัก อาคารโทรคมนาคม (CAT Tower)
4th row-
5th row-
ValueCountFrequency (%)
118
49.2%
อาคาร 10
 
4.2%
ศูนย์ราชการเฉลิมพระเกียรติ 7
 
2.9%
80 6
 
2.5%
พรรษา 6
 
2.5%
5 6
 
2.5%
ธันวาคม 6
 
2.5%
2550 5
 
2.1%
อาคารรัฐประศาสนภักดี 5
 
2.1%
คอมเพล็กซ์ 3
 
1.2%
Other values (56) 68
28.3%
2026-08-19T07:29:24.277067image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
ร 143
 
10.0%
า 133
 
9.3%
- 118
 
8.2%
80
 
5.6%
ก 71
 
5.0%
น 55
 
3.8%
ั 49
 
3.4%
ค 46
 
3.2%
อ 44
 
3.1%
ม 41
 
2.9%
Other values (69) 654
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 974
67.9%
Nonspacing Mark 175
 
12.2%
Dash Punctuation 118
 
8.2%
Space Separator 80
 
5.6%
Decimal Number 53
 
3.7%
Uppercase Letter 10
 
0.7%
Close Punctuation 7
 
0.5%
Open Punctuation 7
 
0.5%
Other Punctuation 6
 
0.4%
Lowercase Letter 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ร 143
14.7%
า 133
 
13.7%
ก 71
 
7.3%
น 55
 
5.6%
ค 46
 
4.7%
อ 44
 
4.5%
ม 41
 
4.2%
เ 32
 
3.3%
ะ 29
 
3.0%
ส 29
 
3.0%
Other values (37) 351
36.0%
Nonspacing Mark
ValueCountFrequency (%)
ั 49
28.0%
์ 29
16.6%
ี 29
16.6%
ิ 28
16.0%
่ 12
 
6.9%
ู 11
 
6.3%
ุ 8
 
4.6%
้ 5
 
2.9%
็ 3
 
1.7%
ึ 1
 
0.6%
Decimal Number
ValueCountFrequency (%)
5 20
37.7%
0 15
28.3%
2 7
 
13.2%
8 6
 
11.3%
1 2
 
3.8%
6 1
 
1.9%
๘ 1
 
1.9%
๐ 1
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
B 4
40.0%
T 3
30.0%
C 1
 
10.0%
A 1
 
10.0%
N 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
o 1
25.0%
r 1
25.0%
e 1
25.0%
w 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%
Space Separator
ValueCountFrequency (%)
80
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 1151
80.3%
Common 269
 
18.8%
Latin 14
 
1.0%

Most frequent character per script

Thai
ValueCountFrequency (%)
ร 143
 
12.4%
า 133
 
11.6%
ก 71
 
6.2%
น 55
 
4.8%
ั 49
 
4.3%
ค 46
 
4.0%
อ 44
 
3.8%
ม 41
 
3.6%
เ 32
 
2.8%
์ 29
 
2.5%
Other values (49) 508
44.1%
Common
ValueCountFrequency (%)
- 118
43.9%
80
29.7%
5 20
 
7.4%
0 15
 
5.6%
2 7
 
2.6%
) 7
 
2.6%
( 7
 
2.6%
8 6
 
2.2%
. 6
 
2.2%
1 2
 
0.7%
Latin
ValueCountFrequency (%)
B 4
28.6%
T 3
21.4%
o 1
 
7.1%
r 1
 
7.1%
e 1
 
7.1%
w 1
 
7.1%
C 1
 
7.1%
A 1
 
7.1%
N 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Thai 1151
80.3%
ASCII 283
 
19.7%

Most frequent character per block

Thai
ValueCountFrequency (%)
ร 143
 
12.4%
า 133
 
11.6%
ก 71
 
6.2%
น 55
 
4.8%
ั 49
 
4.3%
ค 46
 
4.0%
อ 44
 
3.8%
ม 41
 
3.6%
เ 32
 
2.8%
์ 29
 
2.5%
Other values (49) 508
44.1%
ASCII
ValueCountFrequency (%)
- 118
41.7%
80
28.3%
5 20
 
7.1%
0 15
 
5.3%
2 7
 
2.5%
) 7
 
2.5%
( 7
 
2.5%
8 6
 
2.1%
. 6
 
2.1%
B 4
 
1.4%
Other values (10) 13
 
4.6%

d_address_floor
Text

MISSING 

Distinct23
Distinct (%)15.3%
Missing13
Missing (%)8.0%
Memory size1.4 KiB
2026-08-19T07:29:24.693965image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length12
Median length1
Mean length1.633333333
Min length1

Characters and Unicode

Total characters245
Distinct characters29
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

Unique19 ?
Unique (%)12.7%

Sample

1st rowชั้น 4
2nd rowชั้น 19 - 20
3rd row-
4th row-
5th row-
ValueCountFrequency (%)
126
79.7%
ชั้น 6
 
3.8%
8 3
 
1.9%
2 2
 
1.3%
19 2
 
1.3%
21-22 2
 
1.3%
5 2
 
1.3%
9 2
 
1.3%
กรมสวัสดิก 1
 
0.6%
6-ก.ค 1
 
0.6%
Other values (11) 11
 
7.0%
2026-08-19T07:29:25.450034image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 136
55.5%
. 12
 
4.9%
2 11
 
4.5%
8
 
3.3%
1 8
 
3.3%
ั 7
 
2.9%
ช 6
 
2.4%
้ 6
 
2.4%
น 6
 
2.4%
9 5
 
2.0%
Other values (19) 40
 
16.3%

Most occurring categories

ValueCountFrequency (%)
Dash Punctuation 136
55.5%
Decimal Number 40
 
16.3%
Other Letter 34
 
13.9%
Nonspacing Mark 15
 
6.1%
Other Punctuation 12
 
4.9%
Space Separator 8
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ช 6
17.6%
น 6
17.6%
ก 4
11.8%
ค 4
11.8%
ธ 2
 
5.9%
ย 2
 
5.9%
ส 2
 
5.9%
ม 2
 
5.9%
ด 1
 
2.9%
ว 1
 
2.9%
Other values (4) 4
11.8%
Decimal Number
ValueCountFrequency (%)
2 11
27.5%
1 8
20.0%
9 5
12.5%
5 4
 
10.0%
8 3
 
7.5%
4 3
 
7.5%
6 3
 
7.5%
0 2
 
5.0%
3 1
 
2.5%
Nonspacing Mark
ValueCountFrequency (%)
ั 7
46.7%
้ 6
40.0%
ิ 2
 
13.3%
Dash Punctuation
ValueCountFrequency (%)
- 136
100.0%
Other Punctuation
ValueCountFrequency (%)
. 12
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 196
80.0%
Thai 49
 
20.0%

Most frequent character per script

Thai
ValueCountFrequency (%)
ั 7
14.3%
ช 6
12.2%
้ 6
12.2%
น 6
12.2%
ก 4
8.2%
ค 4
8.2%
ธ 2
 
4.1%
ย 2
 
4.1%
ส 2
 
4.1%
ิ 2
 
4.1%
Other values (7) 8
16.3%
Common
ValueCountFrequency (%)
- 136
69.4%
. 12
 
6.1%
2 11
 
5.6%
8
 
4.1%
1 8
 
4.1%
9 5
 
2.6%
5 4
 
2.0%
8 3
 
1.5%
4 3
 
1.5%
6 3
 
1.5%
Other values (2) 3
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 196
80.0%
Thai 49
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 136
69.4%
. 12
 
6.1%
2 11
 
5.6%
8
 
4.1%
1 8
 
4.1%
9 5
 
2.6%
5 4
 
2.0%
8 3
 
1.5%
4 3
 
1.5%
6 3
 
1.5%
Other values (2) 3
 
1.5%
Thai
ValueCountFrequency (%)
ั 7
14.3%
ช 6
12.2%
้ 6
12.2%
น 6
12.2%
ก 4
8.2%
ค 4
8.2%
ธ 2
 
4.1%
ย 2
 
4.1%
ส 2
 
4.1%
ิ 2
 
4.1%
Other values (7) 8
16.3%

d_address_road
Text

Distinct49
Distinct (%)30.2%
Missing1
Missing (%)0.6%
Memory size1.4 KiB
2026-08-19T07:29:26.199250image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length21
Median length15
Mean length9.320987654
Min length4

Characters and Unicode

Total characters1510
Distinct characters54
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

Unique31 ?
Unique (%)19.1%

Sample

1st rowพิษณุโลก
2nd rowพหลโยธิน
3rd rowเจริญกรุง
4th rowนครปฐม
5th rowพิษณุุโลก
ValueCountFrequency (%)
6 21
 
11.0%
พระรามที่ 19
 
9.9%
แจ้งวัฒนะ 18
 
9.4%
พหลโยธิน 18
 
9.4%
ศรีอยุธยา 13
 
6.8%
ติวานนท์ 11
 
5.8%
ราชดำเนินนอก 9
 
4.7%
นนทบุรี 9
 
4.7%
วิภาวดีรังสิต 6
 
3.1%
กรุงเกษม 6
 
3.1%
Other values (39) 61
31.9%
2026-08-19T07:29:27.396217image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
น 137
 
9.1%
ร 134
 
8.9%
า 88
 
5.8%
ิ 71
 
4.7%
ี 64
 
4.2%
ม 61
 
4.0%
ย 55
 
3.6%
พ 55
 
3.6%
ท 54
 
3.6%
ว 53
 
3.5%
Other values (44) 738
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1171
77.5%
Nonspacing Mark 282
 
18.7%
Space Separator 29
 
1.9%
Decimal Number 28
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
น 137
 
11.7%
ร 134
 
11.4%
า 88
 
7.5%
ม 61
 
5.2%
ย 55
 
4.7%
พ 55
 
4.7%
ท 54
 
4.6%
ว 53
 
4.5%
ะ 46
 
3.9%
ง 44
 
3.8%
Other values (30) 444
37.9%
Nonspacing Mark
ValueCountFrequency (%)
ิ 71
25.2%
ี 64
22.7%
ุ 50
17.7%
ั 29
10.3%
่ 28
 
9.9%
้ 19
 
6.7%
์ 18
 
6.4%
ื 2
 
0.7%
ู 1
 
0.4%
Decimal Number
ValueCountFrequency (%)
6 21
75.0%
1 4
 
14.3%
4 2
 
7.1%
9 1
 
3.6%
Space Separator
ValueCountFrequency (%)
29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 1453
96.2%
Common 57
 
3.8%

Most frequent character per script

Thai
ValueCountFrequency (%)
น 137
 
9.4%
ร 134
 
9.2%
า 88
 
6.1%
ิ 71
 
4.9%
ี 64
 
4.4%
ม 61
 
4.2%
ย 55
 
3.8%
พ 55
 
3.8%
ท 54
 
3.7%
ว 53
 
3.6%
Other values (39) 681
46.9%
Common
ValueCountFrequency (%)
29
50.9%
6 21
36.8%
1 4
 
7.0%
4 2
 
3.5%
9 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Thai 1453
96.2%
ASCII 57
 
3.8%

Most frequent character per block

Thai
ValueCountFrequency (%)
น 137
 
9.4%
ร 134
 
9.2%
า 88
 
6.1%
ิ 71
 
4.9%
ี 64
 
4.4%
ม 61
 
4.2%
ย 55
 
3.8%
พ 55
 
3.8%
ท 54
 
3.7%
ว 53
 
3.6%
Other values (39) 681
46.9%
ASCII
ValueCountFrequency (%)
29
50.9%
6 21
36.8%
1 4
 
7.0%
4 2
 
3.5%
9 1
 
1.8%

d_address_subdistrict
Text

Distinct44
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2026-08-19T07:29:28.105217image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length15
Median length12
Mean length7.417177914
Min length1

Characters and Unicode

Total characters1209
Distinct characters43
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

Unique26 ?
Unique (%)16.0%

Sample

1st rowดุสิต
2nd rowสามเสนใน
3rd rowบางรัก
4th rowดุสิต
5th rowดุุสิต
ValueCountFrequency (%)
ทุ่งพญาไท 23
14.1%
ทุ่งสองห้อง 16
 
9.8%
ลาดยาว 14
 
8.6%
13
 
8.0%
พญาไท 13
 
8.0%
ตลาดขวัญ 11
 
6.7%
ดุสิต 9
 
5.5%
บางกระสอ 8
 
4.9%
มหานาค 5
 
3.1%
ดินแดง 4
 
2.5%
Other values (34) 47
28.8%
2026-08-19T07:29:29.166440image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
า 131
 
10.8%
ง 105
 
8.7%
ท 79
 
6.5%
ุ 65
 
5.4%
ส 57
 
4.7%
ด 56
 
4.6%
ว 54
 
4.5%
ญ 48
 
4.0%
อ 48
 
4.0%
พ 46
 
3.8%
Other values (33) 520
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1002
82.9%
Nonspacing Mark 194
 
16.0%
Dash Punctuation 13
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
า 131
 
13.1%
ง 105
 
10.5%
ท 79
 
7.9%
ส 57
 
5.7%
ด 56
 
5.6%
ว 54
 
5.4%
ญ 48
 
4.8%
อ 48
 
4.8%
พ 46
 
4.6%
น 38
 
3.8%
Other values (24) 340
33.9%
Nonspacing Mark
ValueCountFrequency (%)
ุ 65
33.5%
่ 46
23.7%
ั 32
16.5%
้ 24
 
12.4%
ิ 21
 
10.8%
ี 4
 
2.1%
์ 1
 
0.5%
ื 1
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 1196
98.9%
Common 13
 
1.1%

Most frequent character per script

Thai
ValueCountFrequency (%)
า 131
 
11.0%
ง 105
 
8.8%
ท 79
 
6.6%
ุ 65
 
5.4%
ส 57
 
4.8%
ด 56
 
4.7%
ว 54
 
4.5%
ญ 48
 
4.0%
อ 48
 
4.0%
พ 46
 
3.8%
Other values (32) 507
42.4%
Common
ValueCountFrequency (%)
- 13
100.0%

Most occurring blocks

ValueCountFrequency (%)
Thai 1196
98.9%
ASCII 13
 
1.1%

Most frequent character per block

Thai
ValueCountFrequency (%)
า 131
 
11.0%
ง 105
 
8.8%
ท 79
 
6.6%
ุ 65
 
5.4%
ส 57
 
4.8%
ด 56
 
4.7%
ว 54
 
4.5%
ญ 48
 
4.0%
อ 48
 
4.0%
พ 46
 
3.8%
Other values (32) 507
42.4%
ASCII
ValueCountFrequency (%)
- 13
100.0%

d_address_district
Text

Distinct30
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2026-08-19T07:29:29.800799image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length20
Median length17
Mean length7
Min length1

Characters and Unicode

Total characters1141
Distinct characters43
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

Unique14 ?
Unique (%)8.6%

Sample

1st rowดุสิต
2nd rowพญาไท
3rd rowบางรัก
4th rowดุสิต
5th rowดุุสิต
ValueCountFrequency (%)
เมือง 21
12.9%
จตุจักร 19
11.7%
ดุสิต 16
9.8%
พญาไท 16
9.8%
หลักสี่ 16
9.8%
ราชเทวี 16
9.8%
พระนคร 9
 
5.5%
เขตราชเทวี 8
 
4.9%
ป้อมปราบศัตรูพ่าย 7
 
4.3%
ห้วยขวาง 5
 
3.1%
Other values (20) 30
18.4%
2026-08-19T07:29:31.106066image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
ร 80
 
7.0%
า 70
 
6.1%
เ 64
 
5.6%
ต 63
 
5.5%
ั 54
 
4.7%
ุ 47
 
4.1%
ท 46
 
4.0%
ก 45
 
3.9%
ี 43
 
3.8%
ส 41
 
3.6%
Other values (33) 588
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 897
78.6%
Nonspacing Mark 242
 
21.2%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ร 80
 
8.9%
า 70
 
7.8%
เ 64
 
7.1%
ต 63
 
7.0%
ท 46
 
5.1%
ก 45
 
5.0%
ส 41
 
4.6%
ง 39
 
4.3%
ว 39
 
4.3%
จ 38
 
4.2%
Other values (22) 372
41.5%
Nonspacing Mark
ValueCountFrequency (%)
ั 54
22.3%
ุ 47
19.4%
ี 43
17.8%
่ 28
11.6%
ิ 24
9.9%
ื 22
9.1%
้ 14
 
5.8%
ู 8
 
3.3%
์ 1
 
0.4%
็ 1
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 1139
99.8%
Common 2
 
0.2%

Most frequent character per script

Thai
ValueCountFrequency (%)
ร 80
 
7.0%
า 70
 
6.1%
เ 64
 
5.6%
ต 63
 
5.5%
ั 54
 
4.7%
ุ 47
 
4.1%
ท 46
 
4.0%
ก 45
 
4.0%
ี 43
 
3.8%
ส 41
 
3.6%
Other values (32) 586
51.4%
Common
ValueCountFrequency (%)
- 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Thai 1139
99.8%
ASCII 2
 
0.2%

Most frequent character per block

Thai
ValueCountFrequency (%)
ร 80
 
7.0%
า 70
 
6.1%
เ 64
 
5.6%
ต 63
 
5.5%
ั 54
 
4.7%
ุ 47
 
4.1%
ท 46
 
4.0%
ก 45
 
4.0%
ี 43
 
3.8%
ส 41
 
3.6%
Other values (32) 586
51.4%
ASCII
ValueCountFrequency (%)
- 2
100.0%

d_address_province
Text

Distinct4
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2026-08-19T07:29:31.584052image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.12883436
Min length4

Characters and Unicode

Total characters1977
Distinct characters19
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 (%)1.2%

Sample

1st rowกรุงเทพมหานคร
2nd rowกรุงเทพมหานคร
3rd rowกรุงเทพมหานคร
4th rowกรุงเทพมหานคร
5th rowกรุงเทพมหานคร
ValueCountFrequency (%)
กรุงเทพมหานคร 140
85.9%
นนทบุรี 21
 
12.9%
นครปฐม 1
 
0.6%
ยะลา 1
 
0.6%
2026-08-19T07:29:32.376902image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
ร 302
15.3%
น 183
9.3%
ุ 161
8.1%
ท 161
8.1%
า 141
7.1%
ค 141
7.1%
ม 141
7.1%
ห 140
7.1%
ก 140
7.1%
พ 140
7.1%
Other values (9) 327
16.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1795
90.8%
Nonspacing Mark 182
 
9.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ร 302
16.8%
น 183
10.2%
ท 161
9.0%
า 141
7.9%
ค 141
7.9%
ม 141
7.9%
ห 140
7.8%
ก 140
7.8%
พ 140
7.8%
เ 140
7.8%
Other values (7) 166
9.2%
Nonspacing Mark
ValueCountFrequency (%)
ุ 161
88.5%
ี 21
 
11.5%

Most occurring scripts

ValueCountFrequency (%)
Thai 1977
100.0%

Most frequent character per script

Thai
ValueCountFrequency (%)
ร 302
15.3%
น 183
9.3%
ุ 161
8.1%
ท 161
8.1%
า 141
7.1%
ค 141
7.1%
ม 141
7.1%
ห 140
7.1%
ก 140
7.1%
พ 140
7.1%
Other values (9) 327
16.5%

Most occurring blocks

ValueCountFrequency (%)
Thai 1977
100.0%

Most frequent character per block

Thai
ValueCountFrequency (%)
ร 302
15.3%
น 183
9.3%
ุ 161
8.1%
ท 161
8.1%
า 141
7.1%
ค 141
7.1%
ม 141
7.1%
ห 140
7.1%
ก 140
7.1%
พ 140
7.1%
Other values (9) 327
16.5%

d_address_postcode
Text

Distinct20
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2026-08-19T07:29:32.870842image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.975460123
Min length1

Characters and Unicode

Total characters811
Distinct characters10
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

Unique11 ?
Unique (%)6.7%

Sample

1st row10300
2nd row10400
3rd row10500
4th row10300
5th row10300
ValueCountFrequency (%)
10400 46
28.2%
11000 20
12.3%
10300 20
12.3%
10210 19
11.7%
10900 19
11.7%
10200 10
 
6.1%
10100 9
 
5.5%
10310 6
 
3.7%
10330 3
 
1.8%
10500 1
 
0.6%
Other values (10) 10
 
6.1%
2026-08-19T07:29:33.802628image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 450
55.5%
1 220
27.1%
4 46
 
5.7%
2 34
 
4.2%
3 33
 
4.1%
9 20
 
2.5%
7 3
 
0.4%
6 2
 
0.2%
5 2
 
0.2%
- 1
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 810
99.9%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 450
55.6%
1 220
27.2%
4 46
 
5.7%
2 34
 
4.2%
3 33
 
4.1%
9 20
 
2.5%
7 3
 
0.4%
6 2
 
0.2%
5 2
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 811
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 450
55.5%
1 220
27.1%
4 46
 
5.7%
2 34
 
4.2%
3 33
 
4.1%
9 20
 
2.5%
7 3
 
0.4%
6 2
 
0.2%
5 2
 
0.2%
- 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 811
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 450
55.5%
1 220
27.1%
4 46
 
5.7%
2 34
 
4.2%
3 33
 
4.1%
9 20
 
2.5%
7 3
 
0.4%
6 2
 
0.2%
5 2
 
0.2%
- 1
 
0.1%

d_address_contact_phone
Text

Distinct155
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2026-08-19T07:29:34.794401image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length27
Median length8
Mean length8.490797546
Min length4

Characters and Unicode

Total characters1384
Distinct characters21
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

Unique154 ?
Unique (%)94.5%

Sample

1st row022805700-5
2nd row22655400
3rd row25027000
4th row22884000
5th row22809000
ValueCountFrequency (%)
22035000 9
 
5.0%
กด 3
 
1.7%
1506 2
 
1.1%
และ 2
 
1.1%
22884000 1
 
0.6%
26435194 1
 
0.6%
22831500 1
 
0.6%
22977090 1
 
0.6%
25721234 1
 
0.6%
22228835 1
 
0.6%
Other values (157) 157
87.7%
2026-08-19T07:29:36.142182image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 300
21.7%
0 271
19.6%
5 133
9.6%
1 119
 
8.6%
6 102
 
7.4%
4 89
 
6.4%
3 86
 
6.2%
8 83
 
6.0%
9 80
 
5.8%
7 76
 
5.5%
Other values (11) 45
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1339
96.7%
Space Separator 16
 
1.2%
Other Letter 14
 
1.0%
Dash Punctuation 13
 
0.9%
Other Punctuation 1
 
0.1%
Nonspacing Mark 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 300
22.4%
0 271
20.2%
5 133
9.9%
1 119
 
8.9%
6 102
 
7.6%
4 89
 
6.6%
3 86
 
6.4%
8 83
 
6.2%
9 80
 
6.0%
7 76
 
5.7%
Other Letter
ValueCountFrequency (%)
ก 3
21.4%
ด 3
21.4%
แ 2
14.3%
ล 2
14.3%
ะ 2
14.3%
ต 1
 
7.1%
อ 1
 
7.1%
Space Separator
ValueCountFrequency (%)
16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Nonspacing Mark
ValueCountFrequency (%)
่ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1369
98.9%
Thai 15
 
1.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 300
21.9%
0 271
19.8%
5 133
9.7%
1 119
 
8.7%
6 102
 
7.5%
4 89
 
6.5%
3 86
 
6.3%
8 83
 
6.1%
9 80
 
5.8%
7 76
 
5.6%
Other values (3) 30
 
2.2%
Thai
ValueCountFrequency (%)
ก 3
20.0%
ด 3
20.0%
แ 2
13.3%
ล 2
13.3%
ะ 2
13.3%
ต 1
 
6.7%
่ 1
 
6.7%
อ 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1369
98.9%
Thai 15
 
1.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 300
21.9%
0 271
19.8%
5 133
9.7%
1 119
 
8.7%
6 102
 
7.5%
4 89
 
6.5%
3 86
 
6.3%
8 83
 
6.1%
9 80
 
5.8%
7 76
 
5.6%
Other values (3) 30
 
2.2%
Thai
ValueCountFrequency (%)
ก 3
20.0%
ด 3
20.0%
แ 2
13.3%
ล 2
13.3%
ะ 2
13.3%
ต 1
 
6.7%
่ 1
 
6.7%
อ 1
 
6.7%

d_address_contact_website
Text

UNIQUE 

Distinct163
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2026-08-19T07:29:37.004238image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length35
Median length33
Mean length22.66871166
Min length13

Characters and Unicode

Total characters3695
Distinct characters37
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique163 ?
Unique (%)100.0%

Sample

1st rowhttps://sto.go.th/
2nd rowhttps://www.onlb.go.th/
3rd rowhttps://www.thai-mecc.go.th
4th rowhttp://spm.thaigov.go.th
5th rowhttps://www.soc.go.th/
ValueCountFrequency (%)
https://sto.go.th 1
 
0.6%
https://rta.mi.th 1
 
0.6%
https://www.ocsc.go.th 1
 
0.6%
https://www.thai-mecc.go.th 1
 
0.6%
http://spm.thaigov.go.th 1
 
0.6%
https://www.soc.go.th 1
 
0.6%
https://www.nia.go.th 1
 
0.6%
https://www.bb.go.th 1
 
0.6%
https://www.nsc.go.th 1
 
0.6%
https://www.krisdika.go.th 1
 
0.6%
Other values (154) 154
93.9%
2026-08-19T07:29:38.196060image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 512
13.9%
. 486
13.2%
/ 441
11.9%
w 392
10.6%
h 336
9.1%
o 253
6.8%
p 205
 
5.5%
s 186
 
5.0%
g 165
 
4.5%
: 148
 
4.0%
Other values (27) 571
15.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2606
70.5%
Other Punctuation 1075
29.1%
Dash Punctuation 6
 
0.2%
Decimal Number 6
 
0.2%
Space Separator 2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 512
19.6%
w 392
15.0%
h 336
12.9%
o 253
9.7%
p 205
7.9%
s 186
 
7.1%
g 165
 
6.3%
d 84
 
3.2%
a 75
 
2.9%
m 58
 
2.2%
Other values (15) 340
13.0%
Decimal Number
ValueCountFrequency (%)
3 1
16.7%
2 1
16.7%
0 1
16.7%
1 1
16.7%
9 1
16.7%
4 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 486
45.2%
/ 441
41.0%
: 148
 
13.8%
Space Separator
ValueCountFrequency (%)
1
50.0%
  1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2606
70.5%
Common 1089
29.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 512
19.6%
w 392
15.0%
h 336
12.9%
o 253
9.7%
p 205
7.9%
s 186
 
7.1%
g 165
 
6.3%
d 84
 
3.2%
a 75
 
2.9%
m 58
 
2.2%
Other values (15) 340
13.0%
Common
ValueCountFrequency (%)
. 486
44.6%
/ 441
40.5%
: 148
 
13.6%
- 6
 
0.6%
3 1
 
0.1%
2 1
 
0.1%
0 1
 
0.1%
1 1
 
0.1%
9 1
 
0.1%
1
 
0.1%
Other values (2) 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3694
> 99.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 512
13.9%
. 486
13.2%
/ 441
11.9%
w 392
10.6%
h 336
9.1%
o 253
6.8%
p 205
 
5.5%
s 186
 
5.0%
g 165
 
4.5%
: 148
 
4.0%
Other values (26) 570
15.4%
None
ValueCountFrequency (%)
  1
100.0%

d_address_contact_email
Text

UNIQUE 

Distinct163
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2026-08-19T07:29:39.027584image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length29
Median length27
Mean length19.82208589
Min length16

Characters and Unicode

Total characters3231
Distinct characters41
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique163 ?
Unique (%)100.0%

Sample

1st row[email protected]
2nd row[email protected]
3rd row[email protected]
4th row[email protected]
5th row[email protected]
ValueCountFrequency (%)
[email protected] 1
 
0.6%
[email protected] 1
 
0.6%
[email protected] 1
 
0.6%
[email protected] 1
 
0.6%
[email protected] 1
 
0.6%
[email protected] 1
 
0.6%
[email protected] 1
 
0.6%
[email protected] 1
 
0.6%
[email protected] 1
 
0.6%
[email protected] 1
 
0.6%
Other values (153) 153
93.9%
2026-08-19T07:29:40.351048image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 575
17.8%
. 368
11.4%
o 235
 
7.3%
s 207
 
6.4%
r 203
 
6.3%
t 199
 
6.2%
n 187
 
5.8%
b 177
 
5.5%
h 173
 
5.4%
g 164
 
5.1%
Other values (31) 743
23.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2628
81.3%
Other Punctuation 531
 
16.4%
Decimal Number 60
 
1.9%
Dash Punctuation 6
 
0.2%
Connector Punctuation 4
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 575
21.9%
o 235
8.9%
s 207
 
7.9%
r 203
 
7.7%
t 199
 
7.6%
n 187
 
7.1%
b 177
 
6.7%
h 173
 
6.6%
g 164
 
6.2%
m 96
 
3.7%
Other values (15) 412
15.7%
Decimal Number
ValueCountFrequency (%)
0 39
65.0%
1 8
 
13.3%
4 3
 
5.0%
6 2
 
3.3%
3 2
 
3.3%
2 2
 
3.3%
5 1
 
1.7%
7 1
 
1.7%
8 1
 
1.7%
9 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 368
69.3%
@ 163
30.7%
Uppercase Letter
ValueCountFrequency (%)
E 1
50.0%
S 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2630
81.4%
Common 601
 
18.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 575
21.9%
o 235
8.9%
s 207
 
7.9%
r 203
 
7.7%
t 199
 
7.6%
n 187
 
7.1%
b 177
 
6.7%
h 173
 
6.6%
g 164
 
6.2%
m 96
 
3.7%
Other values (17) 414
15.7%
Common
ValueCountFrequency (%)
. 368
61.2%
@ 163
27.1%
0 39
 
6.5%
1 8
 
1.3%
- 6
 
1.0%
_ 4
 
0.7%
4 3
 
0.5%
6 2
 
0.3%
3 2
 
0.3%
2 2
 
0.3%
Other values (4) 4
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3231
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 575
17.8%
. 368
11.4%
o 235
 
7.3%
s 207
 
6.4%
r 203
 
6.3%
t 199
 
6.2%
n 187
 
5.8%
b 177
 
5.5%
h 173
 
5.4%
g 164
 
5.1%
Other values (31) 743
23.0%