Overview

Dataset statistics

Number of variables26
Number of observations267
Missing cells2253
Missing cells (%)32.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory54.6 KiB
Average record size in memory209.5 B

Variable types

Numeric1
Text19
Categorical6

Dataset

Description공공시설, 도로, 연구실, 공사현장 등에서 자주 사용하는 표지판을 외국인도 쉽게 이해할 수 있도록 다국어로 번역한 자료-영어, 일본어, 중국어, 베트남어, 태국어, 몽골어, 스페인어, 러시아어
Author행정안전부
URLhttps://www.data.go.kr/data/15124473/fileData.do

Alerts

일본어4 has constant value ""Constant
중국어3 is highly imbalanced (84.8%)Imbalance
태국어2 is highly imbalanced (79.2%)Imbalance
태국어3 is highly imbalanced (88.8%)Imbalance
몽골어3 is highly imbalanced (91.1%)Imbalance
스페인어3 is highly imbalanced (88.8%)Imbalance
러시아어3 is highly imbalanced (91.1%)Imbalance
영어2 has 250 (93.6%) missing valuesMissing
중국어2 has 223 (83.5%) missing valuesMissing
일본어2 has 243 (91.0%) missing valuesMissing
일본어3 has 265 (99.3%) missing valuesMissing
일본어4 has 266 (99.6%) missing valuesMissing
베트남어2 has 256 (95.9%) missing valuesMissing
몽골어2 has 239 (89.5%) missing valuesMissing
스페인어2 has 245 (91.8%) missing valuesMissing
러시아어2 has 255 (95.5%) missing valuesMissing

Reproduction

Analysis started2023-12-12 04:43:39.176426
Analysis finished2023-12-12 04:43:41.120901
Duration1.94 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

Distinct266
Distinct (%)100.0%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean133.5
Minimum1
Maximum266
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-12T13:43:41.287565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.25
Q167.25
median133.5
Q3199.75
95-th percentile252.75
Maximum266
Range265
Interquartile range (IQR)132.5

Descriptive statistics

Standard deviation76.931788
Coefficient of variation (CV)0.57626807
Kurtosis-1.2
Mean133.5
Median Absolute Deviation (MAD)66.5
Skewness0
Sum35511
Variance5918.5
MonotonicityStrictly increasing
2023-12-12T13:43:41.539674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
184 1
 
0.4%
170 1
 
0.4%
171 1
 
0.4%
172 1
 
0.4%
173 1
 
0.4%
174 1
 
0.4%
175 1
 
0.4%
176 1
 
0.4%
177 1
 
0.4%
Other values (256) 256
95.9%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
266 1
0.4%
265 1
0.4%
264 1
0.4%
263 1
0.4%
262 1
0.4%
261 1
0.4%
260 1
0.4%
259 1
0.4%
258 1
0.4%
257 1
0.4%
Distinct266
Distinct (%)100.0%
Missing1
Missing (%)0.4%
Memory size2.2 KiB
2023-12-12T13:43:41.859121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length12
Mean length5.5413534
Min length2

Characters and Unicode

Total characters1474
Distinct characters274
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique266 ?
Unique (%)100.0%

Sample

1st row천천히
2nd row서행
3rd row사고잦은 곳
4th row사고다발지점
5th row정비안내
ValueCountFrequency (%)
경고 16
 
4.3%
착용 9
 
2.4%
주의 7
 
1.9%
7
 
1.9%
마세요 5
 
1.4%
cctv 4
 
1.1%
출입금지 4
 
1.1%
어린이 3
 
0.8%
주정차금지 3
 
0.8%
우선 3
 
0.8%
Other values (289) 308
83.5%
2023-12-12T13:43:42.382910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
103
 
7.0%
56
 
3.8%
44
 
3.0%
42
 
2.8%
33
 
2.2%
30
 
2.0%
28
 
1.9%
25
 
1.7%
22
 
1.5%
21
 
1.4%
Other values (264) 1070
72.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1345
91.2%
Space Separator 103
 
7.0%
Uppercase Letter 16
 
1.1%
Other Punctuation 5
 
0.3%
Decimal Number 3
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
56
 
4.2%
44
 
3.3%
42
 
3.1%
33
 
2.5%
30
 
2.2%
28
 
2.1%
25
 
1.9%
22
 
1.6%
21
 
1.6%
21
 
1.6%
Other values (254) 1023
76.1%
Uppercase Letter
ValueCountFrequency (%)
C 8
50.0%
T 4
25.0%
V 4
25.0%
Decimal Number
ValueCountFrequency (%)
4 1
33.3%
2 1
33.3%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
103
100.0%
Other Punctuation
ValueCountFrequency (%)
· 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1345
91.2%
Common 113
 
7.7%
Latin 16
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
56
 
4.2%
44
 
3.3%
42
 
3.1%
33
 
2.5%
30
 
2.2%
28
 
2.1%
25
 
1.9%
22
 
1.6%
21
 
1.6%
21
 
1.6%
Other values (254) 1023
76.1%
Common
ValueCountFrequency (%)
103
91.2%
· 5
 
4.4%
( 1
 
0.9%
) 1
 
0.9%
4 1
 
0.9%
2 1
 
0.9%
1 1
 
0.9%
Latin
ValueCountFrequency (%)
C 8
50.0%
T 4
25.0%
V 4
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1345
91.2%
ASCII 124
 
8.4%
None 5
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
103
83.1%
C 8
 
6.5%
T 4
 
3.2%
V 4
 
3.2%
( 1
 
0.8%
) 1
 
0.8%
4 1
 
0.8%
2 1
 
0.8%
1 1
 
0.8%
Hangul
ValueCountFrequency (%)
56
 
4.2%
44
 
3.3%
42
 
3.1%
33
 
2.5%
30
 
2.2%
28
 
2.1%
25
 
1.9%
22
 
1.6%
21
 
1.6%
21
 
1.6%
Other values (254) 1023
76.1%
None
ValueCountFrequency (%)
· 5
100.0%

설명
Text

Distinct265
Distinct (%)99.6%
Missing1
Missing (%)0.4%
Memory size2.2 KiB
2023-12-12T13:43:42.804856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length135
Median length66.5
Mean length40.417293
Min length7

Characters and Unicode

Total characters10751
Distinct characters762
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique264 ?
Unique (%)99.2%

Sample

1st row이동할 때 느리게
2nd row이동할 때 느리게. 한자로는 "徐行"
3rd row사고가 자주 발생하는 곳. 한글과 한자로는 "事故 잦은 곳"
4th row사고가 자주 발생하는 곳. 한자로는 "事故多發地點"
5th row기계나 시설 등이 잘 작동하도록 고치거나 손질하는 것에 대해 알립니다. 한자로는 "整備案內"
ValueCountFrequency (%)
한자로는 232
 
9.6%
60
 
2.5%
마세요 41
 
1.7%
있는 33
 
1.4%
조심하세요 32
 
1.3%
29
 
1.2%
있으니 26
 
1.1%
한글과 26
 
1.1%
24
 
1.0%
22
 
0.9%
Other values (1184) 1899
78.3%
2023-12-12T13:43:43.522522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2179
 
20.3%
" 496
 
4.6%
430
 
4.0%
331
 
3.1%
297
 
2.8%
282
 
2.6%
. 274
 
2.5%
216
 
2.0%
183
 
1.7%
129
 
1.2%
Other values (752) 5934
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7614
70.8%
Space Separator 2179
 
20.3%
Other Punctuation 807
 
7.5%
Uppercase Letter 84
 
0.8%
Lowercase Letter 34
 
0.3%
Decimal Number 11
 
0.1%
Close Punctuation 10
 
0.1%
Open Punctuation 10
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
430
 
5.6%
331
 
4.3%
297
 
3.9%
282
 
3.7%
216
 
2.8%
183
 
2.4%
129
 
1.7%
127
 
1.7%
127
 
1.7%
118
 
1.5%
Other values (706) 5374
70.6%
Uppercase Letter
ValueCountFrequency (%)
C 18
21.4%
T 11
13.1%
V 11
13.1%
S 6
 
7.1%
U 6
 
7.1%
E 5
 
6.0%
A 5
 
6.0%
L 4
 
4.8%
B 4
 
4.8%
R 3
 
3.6%
Other values (8) 11
13.1%
Lowercase Letter
ValueCountFrequency (%)
r 5
14.7%
s 5
14.7%
e 4
11.8%
i 3
8.8%
a 3
8.8%
n 2
 
5.9%
h 2
 
5.9%
p 2
 
5.9%
l 2
 
5.9%
b 1
 
2.9%
Other values (5) 5
14.7%
Decimal Number
ValueCountFrequency (%)
1 3
27.3%
7 2
18.2%
4 2
18.2%
2 2
18.2%
3 1
 
9.1%
6 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
" 496
61.5%
. 274
34.0%
, 37
 
4.6%
Space Separator
ValueCountFrequency (%)
2179
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6501
60.5%
Common 3019
28.1%
Han 1113
 
10.4%
Latin 118
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
430
 
6.6%
331
 
5.1%
297
 
4.6%
282
 
4.3%
216
 
3.3%
183
 
2.8%
129
 
2.0%
127
 
2.0%
127
 
2.0%
118
 
1.8%
Other values (394) 4261
65.5%
Han
ValueCountFrequency (%)
42
 
3.8%
38
 
3.4%
31
 
2.8%
24
 
2.2%
20
 
1.8%
18
 
1.6%
17
 
1.5%
16
 
1.4%
16
 
1.4%
14
 
1.3%
Other values (302) 877
78.8%
Latin
ValueCountFrequency (%)
C 18
15.3%
T 11
 
9.3%
V 11
 
9.3%
S 6
 
5.1%
U 6
 
5.1%
E 5
 
4.2%
A 5
 
4.2%
r 5
 
4.2%
s 5
 
4.2%
L 4
 
3.4%
Other values (23) 42
35.6%
Common
ValueCountFrequency (%)
2179
72.2%
" 496
 
16.4%
. 274
 
9.1%
, 37
 
1.2%
) 10
 
0.3%
( 10
 
0.3%
1 3
 
0.1%
- 2
 
0.1%
7 2
 
0.1%
4 2
 
0.1%
Other values (3) 4
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6501
60.5%
ASCII 3137
29.2%
CJK 1112
 
10.3%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2179
69.5%
" 496
 
15.8%
. 274
 
8.7%
, 37
 
1.2%
C 18
 
0.6%
T 11
 
0.4%
V 11
 
0.4%
) 10
 
0.3%
( 10
 
0.3%
S 6
 
0.2%
Other values (36) 85
 
2.7%
Hangul
ValueCountFrequency (%)
430
 
6.6%
331
 
5.1%
297
 
4.6%
282
 
4.3%
216
 
3.3%
183
 
2.8%
129
 
2.0%
127
 
2.0%
127
 
2.0%
118
 
1.8%
Other values (394) 4261
65.5%
CJK
ValueCountFrequency (%)
42
 
3.8%
38
 
3.4%
31
 
2.8%
24
 
2.2%
20
 
1.8%
18
 
1.6%
17
 
1.5%
16
 
1.4%
16
 
1.4%
14
 
1.3%
Other values (301) 876
78.8%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%
Distinct225
Distinct (%)84.6%
Missing1
Missing (%)0.4%
Memory size2.2 KiB
2023-12-12T13:43:44.034161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length26
Mean length16.894737
Min length4

Characters and Unicode

Total characters4494
Distinct characters61
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique194 ?
Unique (%)72.9%

Sample

1st rowSlow Down
2nd rowSlow Down
3rd rowAccident Black Spot
4th rowAccident Black Spot
5th rowMaintenance Notice
ValueCountFrequency (%)
no 31
 
4.3%
warning 17
 
2.4%
do 15
 
2.1%
not 15
 
2.1%
parking 15
 
2.1%
caution 14
 
2.0%
hazard 12
 
1.7%
emergency 10
 
1.4%
wear 10
 
1.4%
only 10
 
1.4%
Other values (320) 568
79.2%
2023-12-12T13:43:44.847523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
462
 
10.3%
e 346
 
7.7%
a 317
 
7.1%
i 291
 
6.5%
n 287
 
6.4%
o 279
 
6.2%
r 269
 
6.0%
t 243
 
5.4%
l 159
 
3.5%
s 143
 
3.2%
Other values (51) 1698
37.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3197
71.1%
Uppercase Letter 818
 
18.2%
Space Separator 462
 
10.3%
Other Punctuation 7
 
0.2%
Dash Punctuation 4
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 346
10.8%
a 317
9.9%
i 291
 
9.1%
n 287
 
9.0%
o 279
 
8.7%
r 269
 
8.4%
t 243
 
7.6%
l 159
 
5.0%
s 143
 
4.5%
g 123
 
3.8%
Other values (16) 740
23.1%
Uppercase Letter
ValueCountFrequency (%)
S 79
 
9.7%
N 72
 
8.8%
E 63
 
7.7%
C 62
 
7.6%
P 60
 
7.3%
A 47
 
5.7%
W 47
 
5.7%
D 44
 
5.4%
O 44
 
5.4%
T 41
 
5.0%
Other values (14) 259
31.7%
Other Punctuation
ValueCountFrequency (%)
& 2
28.6%
. 2
28.6%
, 1
14.3%
: 1
14.3%
' 1
14.3%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
462
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4015
89.3%
Common 479
 
10.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 346
 
8.6%
a 317
 
7.9%
i 291
 
7.2%
n 287
 
7.1%
o 279
 
6.9%
r 269
 
6.7%
t 243
 
6.1%
l 159
 
4.0%
s 143
 
3.6%
g 123
 
3.1%
Other values (40) 1558
38.8%
Common
ValueCountFrequency (%)
462
96.5%
- 4
 
0.8%
( 2
 
0.4%
& 2
 
0.4%
. 2
 
0.4%
) 2
 
0.4%
4 1
 
0.2%
2 1
 
0.2%
, 1
 
0.2%
: 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4494
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
462
 
10.3%
e 346
 
7.7%
a 317
 
7.1%
i 291
 
6.5%
n 287
 
6.4%
o 279
 
6.2%
r 269
 
6.0%
t 243
 
5.4%
l 159
 
3.5%
s 143
 
3.2%
Other values (51) 1698
37.8%

영어2
Text

MISSING 

Distinct13
Distinct (%)76.5%
Missing250
Missing (%)93.6%
Memory size2.2 KiB
2023-12-12T13:43:45.152645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length22
Mean length15
Min length1

Characters and Unicode

Total characters255
Distinct characters41
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)52.9%

Sample

1st rowInductive Loop Detector - Left Turn Signal
2nd rowReserved Parking Space for People with Disabilities
3rd rowEXIT
4th rowIcy Section
5th rowIcy Section
ValueCountFrequency (%)
parking 3
 
7.1%
no 3
 
7.1%
icy 2
 
4.8%
lot 2
 
4.8%
alcohol 2
 
4.8%
section 2
 
4.8%
for 2
 
4.8%
restroom 1
 
2.4%
cameras 1
 
2.4%
meeting 1
 
2.4%
Other values (23) 23
54.8%
2023-12-12T13:43:45.642943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
 
11.4%
e 22
 
8.6%
o 19
 
7.5%
i 16
 
6.3%
r 14
 
5.5%
t 13
 
5.1%
n 11
 
4.3%
c 11
 
4.3%
a 10
 
3.9%
l 9
 
3.5%
Other values (31) 101
39.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 169
66.3%
Uppercase Letter 56
 
22.0%
Space Separator 29
 
11.4%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 22
13.0%
o 19
11.2%
i 16
9.5%
r 14
 
8.3%
t 13
 
7.7%
n 11
 
6.5%
c 11
 
6.5%
a 10
 
5.9%
l 9
 
5.3%
s 7
 
4.1%
Other values (12) 37
21.9%
Uppercase Letter
ValueCountFrequency (%)
S 6
10.7%
E 6
10.7%
O 5
8.9%
R 5
8.9%
T 5
8.9%
I 5
8.9%
P 4
7.1%
N 4
7.1%
L 4
7.1%
M 3
 
5.4%
Other values (7) 9
16.1%
Space Separator
ValueCountFrequency (%)
29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 225
88.2%
Common 30
 
11.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 22
 
9.8%
o 19
 
8.4%
i 16
 
7.1%
r 14
 
6.2%
t 13
 
5.8%
n 11
 
4.9%
c 11
 
4.9%
a 10
 
4.4%
l 9
 
4.0%
s 7
 
3.1%
Other values (29) 93
41.3%
Common
ValueCountFrequency (%)
29
96.7%
- 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 255
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29
 
11.4%
e 22
 
8.6%
o 19
 
7.5%
i 16
 
6.3%
r 14
 
5.5%
t 13
 
5.1%
n 11
 
4.3%
c 11
 
4.3%
a 10
 
3.9%
l 9
 
3.5%
Other values (31) 101
39.6%
Distinct222
Distinct (%)83.5%
Missing1
Missing (%)0.4%
Memory size2.2 KiB
2023-12-12T13:43:45.928422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length18
Mean length5.2669173
Min length2

Characters and Unicode

Total characters1401
Distinct characters392
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique192 ?
Unique (%)72.2%

Sample

1st row减速慢行
2nd row减速慢行
3rd row事故易发路段
4th row事故易发路段
5th row正在维修
ValueCountFrequency (%)
当心 7
 
2.5%
停车 5
 
1.8%
当心坠落 4
 
1.4%
cctv录制中 4
 
1.4%
减速让行 3
 
1.1%
告示 3
 
1.1%
禁止乱扔 3
 
1.1%
非工作人员禁止入内 3
 
1.1%
当心头顶 3
 
1.1%
禁止通行 3
 
1.1%
Other values (215) 238
86.2%
2023-12-12T13:43:46.353343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48
 
3.4%
44
 
3.1%
42
 
3.0%
41
 
2.9%
38
 
2.7%
28
 
2.0%
25
 
1.8%
19
 
1.4%
17
 
1.2%
17
 
1.2%
Other values (382) 1082
77.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1320
94.2%
Space Separator 41
 
2.9%
Uppercase Letter 17
 
1.2%
Other Punctuation 12
 
0.9%
Lowercase Letter 5
 
0.4%
Decimal Number 3
 
0.2%
Open Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
48
 
3.6%
44
 
3.3%
42
 
3.2%
38
 
2.9%
28
 
2.1%
25
 
1.9%
19
 
1.4%
17
 
1.3%
17
 
1.3%
15
 
1.1%
Other values (362) 1027
77.8%
Other Punctuation
ValueCountFrequency (%)
5
41.7%
4
33.3%
· 1
 
8.3%
1
 
8.3%
/ 1
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
C 8
47.1%
V 4
23.5%
T 4
23.5%
H 1
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
s 2
40.0%
a 1
20.0%
p 1
20.0%
i 1
20.0%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
4 1
33.3%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
41
100.0%
Open Punctuation
ValueCountFrequency (%)
1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Close Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 1320
94.2%
Common 59
 
4.2%
Latin 22
 
1.6%

Most frequent character per script

Han
ValueCountFrequency (%)
48
 
3.6%
44
 
3.3%
42
 
3.2%
38
 
2.9%
28
 
2.1%
25
 
1.9%
19
 
1.4%
17
 
1.3%
17
 
1.3%
15
 
1.1%
Other values (362) 1027
77.8%
Common
ValueCountFrequency (%)
41
69.5%
5
 
8.5%
4
 
6.8%
· 1
 
1.7%
1
 
1.7%
- 1
 
1.7%
1
 
1.7%
2 1
 
1.7%
4 1
 
1.7%
1 1
 
1.7%
Other values (2) 2
 
3.4%
Latin
ValueCountFrequency (%)
C 8
36.4%
V 4
18.2%
T 4
18.2%
s 2
 
9.1%
a 1
 
4.5%
p 1
 
4.5%
i 1
 
4.5%
H 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
CJK 1320
94.2%
ASCII 68
 
4.9%
None 13
 
0.9%

Most frequent character per block

CJK
ValueCountFrequency (%)
48
 
3.6%
44
 
3.3%
42
 
3.2%
38
 
2.9%
28
 
2.1%
25
 
1.9%
19
 
1.4%
17
 
1.3%
17
 
1.3%
15
 
1.1%
Other values (362) 1027
77.8%
ASCII
ValueCountFrequency (%)
41
60.3%
C 8
 
11.8%
V 4
 
5.9%
T 4
 
5.9%
s 2
 
2.9%
a 1
 
1.5%
p 1
 
1.5%
- 1
 
1.5%
i 1
 
1.5%
H 1
 
1.5%
Other values (4) 4
 
5.9%
None
ValueCountFrequency (%)
5
38.5%
4
30.8%
· 1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%

중국어2
Text

MISSING 

Distinct23
Distinct (%)52.3%
Missing223
Missing (%)83.5%
Memory size2.2 KiB
2023-12-12T13:43:46.594212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length5.6136364
Min length2

Characters and Unicode

Total characters247
Distinct characters78
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)15.9%

Sample

1st row 事故多发路段
2nd row 事故多发路段
3rd row 禁止乱扔垃圾
4th row 禁止乱扔垃圾
5th row 禁止乱扔垃圾
ValueCountFrequency (%)
cctv监控中 4
 
9.1%
禁止乱扔垃圾 3
 
6.8%
当心碰头 3
 
6.8%
暂时停车 3
 
6.8%
事故多发路段 2
 
4.5%
禁酒 2
 
4.5%
严禁出入 2
 
4.5%
严禁倚靠 2
 
4.5%
步行者优先道路 2
 
4.5%
当心滑倒 2
 
4.5%
Other values (13) 19
43.2%
2023-12-12T13:43:47.013997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45
 
18.2%
11
 
4.5%
C 8
 
3.2%
7
 
2.8%
6
 
2.4%
6
 
2.4%
6
 
2.4%
5
 
2.0%
5
 
2.0%
4
 
1.6%
Other values (68) 144
58.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 186
75.3%
Space Separator 45
 
18.2%
Uppercase Letter 16
 
6.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
11
 
5.9%
7
 
3.8%
6
 
3.2%
6
 
3.2%
6
 
3.2%
5
 
2.7%
5
 
2.7%
4
 
2.2%
4
 
2.2%
4
 
2.2%
Other values (64) 128
68.8%
Uppercase Letter
ValueCountFrequency (%)
C 8
50.0%
T 4
25.0%
V 4
25.0%
Space Separator
ValueCountFrequency (%)
45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 186
75.3%
Common 45
 
18.2%
Latin 16
 
6.5%

Most frequent character per script

Han
ValueCountFrequency (%)
11
 
5.9%
7
 
3.8%
6
 
3.2%
6
 
3.2%
6
 
3.2%
5
 
2.7%
5
 
2.7%
4
 
2.2%
4
 
2.2%
4
 
2.2%
Other values (64) 128
68.8%
Latin
ValueCountFrequency (%)
C 8
50.0%
T 4
25.0%
V 4
25.0%
Common
ValueCountFrequency (%)
45
100.0%

Most occurring blocks

ValueCountFrequency (%)
CJK 186
75.3%
ASCII 61
 
24.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
45
73.8%
C 8
 
13.1%
T 4
 
6.6%
V 4
 
6.6%
CJK
ValueCountFrequency (%)
11
 
5.9%
7
 
3.8%
6
 
3.2%
6
 
3.2%
6
 
3.2%
5
 
2.7%
5
 
2.7%
4
 
2.2%
4
 
2.2%
4
 
2.2%
Other values (64) 128
68.8%

중국어3
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
255 
CCTV已开启
 
4
禁止乱扔废弃物
 
3
暂停
 
3
事故易多发路地段
 
2

Length

Max length9
Median length4
Mean length4.1310861
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row 事故易多发路地段
4th row 事故易多发路地段
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 255
95.5%
CCTV已开启 4
 
1.5%
禁止乱扔废弃物 3
 
1.1%
暂停 3
 
1.1%
事故易多发路地段 2
 
0.7%

Length

2023-12-12T13:43:47.172393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:43:47.293271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 255
95.5%
cctv已开启 4
 
1.5%
禁止乱扔废弃物 3
 
1.1%
暂停 3
 
1.1%
事故易多发路地段 2
 
0.7%
Distinct222
Distinct (%)83.5%
Missing1
Missing (%)0.4%
Memory size2.2 KiB
2023-12-12T13:43:47.527555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length5.424812
Min length2

Characters and Unicode

Total characters1443
Distinct characters389
Distinct categories8 ?
Distinct scripts5 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique192 ?
Unique (%)72.2%

Sample

1st rowゆっくり
2nd rowゆっくり
3rd row事故多発地点
4th row事故多発地点
5th row点検整備中
ValueCountFrequency (%)
警告 12
 
4.4%
防犯カメラ作動中 4
 
1.5%
止まれ 3
 
1.1%
お知らせ 3
 
1.1%
頭上注意 3
 
1.1%
不法投棄禁止 3
 
1.1%
料金所 2
 
0.7%
出口 2
 
0.7%
立入禁止 2
 
0.7%
寄りかからないでください。 2
 
0.7%
Other values (213) 237
86.8%
2023-12-12T13:43:47.958486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41
 
2.8%
40
 
2.8%
30
 
2.1%
30
 
2.1%
28
 
1.9%
24
 
1.7%
23
 
1.6%
23
 
1.6%
19
 
1.3%
17
 
1.2%
Other values (379) 1168
80.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1391
96.4%
Space Separator 21
 
1.5%
Modifier Letter 17
 
1.2%
Other Punctuation 5
 
0.3%
Uppercase Letter 4
 
0.3%
Decimal Number 3
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
41
 
2.9%
40
 
2.9%
30
 
2.2%
30
 
2.2%
28
 
2.0%
24
 
1.7%
23
 
1.7%
23
 
1.7%
14
 
1.0%
14
 
1.0%
Other values (365) 1124
80.8%
Uppercase Letter
ValueCountFrequency (%)
C 1
25.0%
E 1
25.0%
T 1
25.0%
U 1
25.0%
Decimal Number
ValueCountFrequency (%)
4 1
33.3%
2 1
33.3%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
19
90.5%
  2
 
9.5%
Other Punctuation
ValueCountFrequency (%)
3
60.0%
2
40.0%
Modifier Letter
ValueCountFrequency (%)
17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 1089
75.5%
Hiragana 192
 
13.3%
Katakana 110
 
7.6%
Common 48
 
3.3%
Latin 4
 
0.3%

Most frequent character per script

Han
ValueCountFrequency (%)
41
 
3.8%
40
 
3.7%
30
 
2.8%
30
 
2.8%
28
 
2.6%
23
 
2.1%
14
 
1.3%
14
 
1.3%
13
 
1.2%
13
 
1.2%
Other values (293) 843
77.4%
Hiragana
ValueCountFrequency (%)
24
 
12.5%
23
 
12.0%
13
 
6.8%
12
 
6.2%
11
 
5.7%
10
 
5.2%
10
 
5.2%
9
 
4.7%
7
 
3.6%
6
 
3.1%
Other values (28) 67
34.9%
Katakana
ValueCountFrequency (%)
13
 
11.8%
11
 
10.0%
8
 
7.3%
6
 
5.5%
6
 
5.5%
6
 
5.5%
5
 
4.5%
4
 
3.6%
4
 
3.6%
4
 
3.6%
Other values (24) 43
39.1%
Common
ValueCountFrequency (%)
19
39.6%
17
35.4%
3
 
6.2%
2
 
4.2%
  2
 
4.2%
( 1
 
2.1%
1
 
2.1%
4 1
 
2.1%
2 1
 
2.1%
1 1
 
2.1%
Latin
ValueCountFrequency (%)
C 1
25.0%
E 1
25.0%
T 1
25.0%
U 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
CJK 1089
75.5%
Hiragana 192
 
13.3%
Katakana 129
 
8.9%
ASCII 27
 
1.9%
None 6
 
0.4%

Most frequent character per block

CJK
ValueCountFrequency (%)
41
 
3.8%
40
 
3.7%
30
 
2.8%
30
 
2.8%
28
 
2.6%
23
 
2.1%
14
 
1.3%
14
 
1.3%
13
 
1.2%
13
 
1.2%
Other values (293) 843
77.4%
Hiragana
ValueCountFrequency (%)
24
 
12.5%
23
 
12.0%
13
 
6.8%
12
 
6.2%
11
 
5.7%
10
 
5.2%
10
 
5.2%
9
 
4.7%
7
 
3.6%
6
 
3.1%
Other values (28) 67
34.9%
ASCII
ValueCountFrequency (%)
19
70.4%
C 1
 
3.7%
E 1
 
3.7%
T 1
 
3.7%
( 1
 
3.7%
4 1
 
3.7%
2 1
 
3.7%
1 1
 
3.7%
U 1
 
3.7%
Katakana
ValueCountFrequency (%)
17
 
13.2%
13
 
10.1%
11
 
8.5%
8
 
6.2%
6
 
4.7%
6
 
4.7%
6
 
4.7%
5
 
3.9%
4
 
3.1%
4
 
3.1%
Other values (26) 49
38.0%
None
ValueCountFrequency (%)
3
50.0%
  2
33.3%
1
 
16.7%

일본어2
Text

MISSING 

Distinct17
Distinct (%)70.8%
Missing243
Missing (%)91.0%
Memory size2.2 KiB
2023-12-12T13:43:48.198667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length3.875
Min length2

Characters and Unicode

Total characters93
Distinct characters56
Distinct categories2 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)41.7%

Sample

1st row徐行
2nd row徐行
3rd row整備中
4th row行き止まり
5th row喫煙禁止
ValueCountFrequency (%)
横断禁止 2
 
8.3%
喫煙禁止 2
 
8.3%
駐車場 2
 
8.3%
特別高圧 2
 
8.3%
凍結区間 2
 
8.3%
徐行 2
 
8.3%
禁酒 2
 
8.3%
障害者用 1
 
4.2%
aed 1
 
4.2%
チケット売り場 1
 
4.2%
Other values (7) 7
29.2%
2023-12-12T13:43:48.593725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7
 
7.5%
6
 
6.5%
3
 
3.2%
3
 
3.2%
3
 
3.2%
3
 
3.2%
3
 
3.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
Other values (46) 59
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 90
96.8%
Uppercase Letter 3
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7
 
7.8%
6
 
6.7%
3
 
3.3%
3
 
3.3%
3
 
3.3%
3
 
3.3%
3
 
3.3%
2
 
2.2%
2
 
2.2%
2
 
2.2%
Other values (43) 56
62.2%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
E 1
33.3%
D 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Han 80
86.0%
Hiragana 6
 
6.5%
Katakana 4
 
4.3%
Latin 3
 
3.2%

Most frequent character per script

Han
ValueCountFrequency (%)
7
 
8.8%
6
 
7.5%
3
 
3.8%
3
 
3.8%
3
 
3.8%
3
 
3.8%
3
 
3.8%
2
 
2.5%
2
 
2.5%
2
 
2.5%
Other values (34) 46
57.5%
Hiragana
ValueCountFrequency (%)
2
33.3%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
Katakana
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Latin
ValueCountFrequency (%)
A 1
33.3%
E 1
33.3%
D 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
CJK 80
86.0%
Hiragana 6
 
6.5%
Katakana 4
 
4.3%
ASCII 3
 
3.2%

Most frequent character per block

CJK
ValueCountFrequency (%)
7
 
8.8%
6
 
7.5%
3
 
3.8%
3
 
3.8%
3
 
3.8%
3
 
3.8%
3
 
3.8%
2
 
2.5%
2
 
2.5%
2
 
2.5%
Other values (34) 46
57.5%
Hiragana
ValueCountFrequency (%)
2
33.3%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
Katakana
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
ASCII
ValueCountFrequency (%)
A 1
33.3%
E 1
33.3%
D 1
33.3%

일본어3
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing265
Missing (%)99.3%
Memory size2.2 KiB
2023-12-12T13:43:48.770321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4.5
Mean length4.5
Min length3

Characters and Unicode

Total characters9
Distinct characters9
Distinct categories1 ?
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 (%)100.0%

Sample

1st row点検中
2nd row喫煙禁止地区
ValueCountFrequency (%)
点検中 1
50.0%
喫煙禁止地区 1
50.0%
2023-12-12T13:43:49.162632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%

Most occurring scripts

ValueCountFrequency (%)
Han 9
100.0%

Most frequent character per script

Han
ValueCountFrequency (%)
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%

Most occurring blocks

ValueCountFrequency (%)
CJK 9
100.0%

Most frequent character per block

CJK
ValueCountFrequency (%)
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%

일본어4
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing266
Missing (%)99.6%
Memory size2.2 KiB
2023-12-12T13:43:49.346171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters7
Distinct characters6
Distinct categories1 ?
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 (%)100.0%

Sample

1st rowメンテナンス中
ValueCountFrequency (%)
メンテナンス中 1
100.0%
2023-12-12T13:43:49.673396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2
28.6%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2
28.6%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Katakana 6
85.7%
Han 1
 
14.3%

Most frequent character per script

Katakana
ValueCountFrequency (%)
2
33.3%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Katakana 6
85.7%
CJK 1
 
14.3%

Most frequent character per block

Katakana
ValueCountFrequency (%)
2
33.3%
1
16.7%
1
16.7%
1
16.7%
1
16.7%
CJK
ValueCountFrequency (%)
1
100.0%
Distinct228
Distinct (%)85.7%
Missing1
Missing (%)0.4%
Memory size2.2 KiB
2023-12-12T13:43:50.122127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length171
Median length38
Mean length21.695489
Min length5

Characters and Unicode

Total characters5771
Distinct characters113
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

Unique196 ?
Unique (%)73.7%

Sample

1st rowĐi chậm
2nd rowĐi chậm
3rd rowNơi thường xuyên xảy ra tai nạn
4th rowNơi thường xuyên xảy ra tai nạn
5th rowĐang được bảo trì
ValueCountFrequency (%)
cấm 45
 
3.2%
xe 38
 
2.7%
khu 28
 
2.0%
đường 28
 
2.0%
vực 25
 
1.8%
cho 23
 
1.6%
nơi 22
 
1.6%
chú 20
 
1.4%
ý 20
 
1.4%
báo 20
 
1.4%
Other values (417) 1131
80.8%
2023-12-12T13:43:50.800892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1141
19.8%
n 460
 
8.0%
h 381
 
6.6%
t 260
 
4.5%
g 250
 
4.3%
i 238
 
4.1%
c 231
 
4.0%
u 143
 
2.5%
o 130
 
2.3%
đ 124
 
2.1%
Other values (103) 2413
41.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4309
74.7%
Space Separator 1141
 
19.8%
Uppercase Letter 286
 
5.0%
Other Punctuation 12
 
0.2%
Decimal Number 9
 
0.2%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 460
 
10.7%
h 381
 
8.8%
t 260
 
6.0%
g 250
 
5.8%
i 238
 
5.5%
c 231
 
5.4%
u 143
 
3.3%
o 130
 
3.0%
đ 124
 
2.9%
m 116
 
2.7%
Other values (70) 1976
45.9%
Uppercase Letter
ValueCountFrequency (%)
C 101
35.3%
K 37
 
12.9%
Đ 36
 
12.6%
T 29
 
10.1%
N 25
 
8.7%
L 14
 
4.9%
B 10
 
3.5%
H 6
 
2.1%
D 5
 
1.7%
V 5
 
1.7%
Other values (10) 18
 
6.3%
Decimal Number
ValueCountFrequency (%)
2 3
33.3%
3 2
22.2%
4 1
 
11.1%
5 1
 
11.1%
0 1
 
11.1%
1 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 9
75.0%
. 2
 
16.7%
/ 1
 
8.3%
Space Separator
ValueCountFrequency (%)
1141
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4595
79.6%
Common 1176
 
20.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 460
 
10.0%
h 381
 
8.3%
t 260
 
5.7%
g 250
 
5.4%
i 238
 
5.2%
c 231
 
5.0%
u 143
 
3.1%
o 130
 
2.8%
đ 124
 
2.7%
m 116
 
2.5%
Other values (90) 2262
49.2%
Common
ValueCountFrequency (%)
1141
97.0%
, 9
 
0.8%
) 6
 
0.5%
( 6
 
0.5%
2 3
 
0.3%
. 2
 
0.2%
3 2
 
0.2%
- 2
 
0.2%
/ 1
 
0.1%
4 1
 
0.1%
Other values (3) 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4386
76.0%
Latin Ext Additional 729
 
12.6%
None 656
 
11.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1141
26.0%
n 460
10.5%
h 381
 
8.7%
t 260
 
5.9%
g 250
 
5.7%
i 238
 
5.4%
c 231
 
5.3%
u 143
 
3.3%
o 130
 
3.0%
m 116
 
2.6%
Other values (42) 1036
23.6%
None
ValueCountFrequency (%)
đ 124
18.9%
ư 97
14.8%
á 73
11.1%
à 56
8.5%
Đ 36
 
5.5%
ơ 36
 
5.5%
ô 33
 
5.0%
ó 30
 
4.6%
ê 29
 
4.4%
ú 28
 
4.3%
Other values (13) 114
17.4%
Latin Ext Additional
ValueCountFrequency (%)
78
 
10.7%
57
 
7.8%
54
 
7.4%
51
 
7.0%
43
 
5.9%
40
 
5.5%
36
 
4.9%
34
 
4.7%
30
 
4.1%
ế 28
 
3.8%
Other values (28) 278
38.1%

베트남어2
Text

MISSING 

Distinct6
Distinct (%)54.5%
Missing256
Missing (%)95.9%
Memory size2.2 KiB
2023-12-12T13:43:51.034465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length15.636364
Min length6

Characters and Unicode

Total characters172
Distinct characters36
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)9.1%

Sample

1st rowThông tin cảnh báo
2nd rowThông tin cảnh báo
3rd rowĐoạn đường bị đóng băng
4th rowĐoạn đường bị đóng băng
5th rowđậu xe
ValueCountFrequency (%)
băng 4
 
9.5%
xe 3
 
7.1%
thông 2
 
4.8%
thế 2
 
4.8%
qua 2
 
4.8%
cấm 2
 
4.8%
đỗ 2
 
4.8%
bãi 2
 
4.8%
biệt 2
 
4.8%
đặc 2
 
4.8%
Other values (10) 19
45.2%
2023-12-12T13:43:51.372938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31
18.0%
n 18
 
10.5%
đ 11
 
6.4%
b 10
 
5.8%
g 10
 
5.8%
i 8
 
4.7%
o 6
 
3.5%
h 6
 
3.5%
c 6
 
3.5%
t 6
 
3.5%
Other values (26) 60
34.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 133
77.3%
Space Separator 31
 
18.0%
Uppercase Letter 8
 
4.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 18
 
13.5%
đ 11
 
8.3%
b 10
 
7.5%
g 10
 
7.5%
i 8
 
6.0%
o 6
 
4.5%
h 6
 
4.5%
c 6
 
4.5%
t 6
 
4.5%
a 4
 
3.0%
Other values (21) 48
36.1%
Uppercase Letter
ValueCountFrequency (%)
T 2
25.0%
C 2
25.0%
B 2
25.0%
Đ 2
25.0%
Space Separator
ValueCountFrequency (%)
31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 141
82.0%
Common 31
 
18.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 18
 
12.8%
đ 11
 
7.8%
b 10
 
7.1%
g 10
 
7.1%
i 8
 
5.7%
o 6
 
4.3%
h 6
 
4.3%
c 6
 
4.3%
t 6
 
4.3%
a 4
 
2.8%
Other values (25) 56
39.7%
Common
ValueCountFrequency (%)
31
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 124
72.1%
None 27
 
15.7%
Latin Ext Additional 21
 
12.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31
25.0%
n 18
14.5%
b 10
 
8.1%
g 10
 
8.1%
i 8
 
6.5%
o 6
 
4.8%
h 6
 
4.8%
c 6
 
4.8%
t 6
 
4.8%
a 4
 
3.2%
Other values (8) 19
15.3%
None
ValueCountFrequency (%)
đ 11
40.7%
ă 4
 
14.8%
ã 2
 
7.4%
ó 2
 
7.4%
ư 2
 
7.4%
Đ 2
 
7.4%
á 2
 
7.4%
ô 2
 
7.4%
Latin Ext Additional
ValueCountFrequency (%)
4
19.0%
2
9.5%
2
9.5%
2
9.5%
2
9.5%
ế 2
9.5%
2
9.5%
2
9.5%
2
9.5%
1
 
4.8%
Distinct228
Distinct (%)85.7%
Missing1
Missing (%)0.4%
Memory size2.2 KiB
2023-12-12T13:43:51.630775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length158
Median length36
Mean length17.593985
Min length5

Characters and Unicode

Total characters4680
Distinct characters66
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

Unique199 ?
Unique (%)74.8%

Sample

1st rowช้าๆ
2nd rowช้าๆ
3rd rowจุดเกิดอุบัติเหตุบ่อย
4th rowจุดเกิดอุบัติเหตุบ่อย
5th rowคำชี้แจ้งการซ่อมบำรุง
ValueCountFrequency (%)
กล้องวงจรปิดกำลังบันทึกภาพ 4
 
1.4%
ห้ามเข้า 4
 
1.4%
การแจ้งเตือน 3
 
1.1%
ระวังศีรษะ 3
 
1.1%
ห้ามทิ้งขยะโดยไม่ได้รับอนุญาต 3
 
1.1%
หยุด 3
 
1.1%
ทางเข้า 3
 
1.1%
เสี่ยงต่อการพลัดตก 3
 
1.1%
ระวังน้ำแข็ง 2
 
0.7%
ช่องเดินรถประจำทาง 2
 
0.7%
Other values (226) 247
89.2%
2023-12-12T13:43:52.446246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
349
 
7.5%
278
 
5.9%
220
 
4.7%
217
 
4.6%
216
 
4.6%
184
 
3.9%
184
 
3.9%
180
 
3.8%
174
 
3.7%
166
 
3.5%
Other values (56) 2512
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3646
77.9%
Nonspacing Mark 999
 
21.3%
Space Separator 28
 
0.6%
Decimal Number 3
 
0.1%
Modifier Letter 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
349
 
9.6%
278
 
7.6%
220
 
6.0%
216
 
5.9%
184
 
5.0%
184
 
5.0%
174
 
4.8%
149
 
4.1%
148
 
4.1%
139
 
3.8%
Other values (36) 1605
44.0%
Nonspacing Mark
ValueCountFrequency (%)
217
21.7%
180
18.0%
166
16.6%
104
10.4%
89
8.9%
86
 
8.6%
53
 
5.3%
36
 
3.6%
31
 
3.1%
24
 
2.4%
Other values (3) 13
 
1.3%
Decimal Number
ValueCountFrequency (%)
1 1
33.3%
4 1
33.3%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
28
100.0%
Modifier Letter
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Thai 4647
99.3%
Common 33
 
0.7%

Most frequent character per script

Thai
ValueCountFrequency (%)
349
 
7.5%
278
 
6.0%
220
 
4.7%
217
 
4.7%
216
 
4.6%
184
 
4.0%
184
 
4.0%
180
 
3.9%
174
 
3.7%
166
 
3.6%
Other values (50) 2479
53.3%
Common
ValueCountFrequency (%)
28
84.8%
( 1
 
3.0%
) 1
 
3.0%
1 1
 
3.0%
4 1
 
3.0%
2 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Thai 4647
99.3%
ASCII 33
 
0.7%

Most frequent character per block

Thai
ValueCountFrequency (%)
349
 
7.5%
278
 
6.0%
220
 
4.7%
217
 
4.7%
216
 
4.6%
184
 
4.0%
184
 
4.0%
180
 
3.9%
174
 
3.7%
166
 
3.6%
Other values (50) 2479
53.3%
ASCII
ValueCountFrequency (%)
28
84.8%
( 1
 
3.0%
) 1
 
3.0%
1 1
 
3.0%
4 1
 
3.0%
2 1
 
3.0%

태국어2
Categorical

IMBALANCE 

Distinct12
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
243 
หยุดชั่วคราว
 
3
ประกาศ
 
3
เคลื่อนที่ช้าๆ
 
2
เลี้ยวซ้ายผ่านตลอด
 
2
Other values (7)
 
14

Length

Max length18
Median length4
Mean length4.6666667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowเคลื่อนที่ช้าๆ
2nd rowเคลื่อนที่ช้าๆ
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 243
91.0%
หยุดชั่วคราว 3
 
1.1%
ประกาศ 3
 
1.1%
เคลื่อนที่ช้าๆ 2
 
0.7%
เลี้ยวซ้ายผ่านตลอด 2
 
0.7%
ข้อความเตือน 2
 
0.7%
พื้นที่น้ำแข็ง 2
 
0.7%
ลานจอดรถ 2
 
0.7%
กระจกกันควัน 2
 
0.7%
ห้ามพิง 2
 
0.7%
Other values (2) 4
 
1.5%

Length

2023-12-12T13:43:52.650421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 243
91.0%
หยุดชั่วคราว 3
 
1.1%
ประกาศ 3
 
1.1%
เคลื่อนที่ช้าๆ 2
 
0.7%
เลี้ยวซ้ายผ่านตลอด 2
 
0.7%
ข้อความเตือน 2
 
0.7%
พื้นที่น้ำแข็ง 2
 
0.7%
ลานจอดรถ 2
 
0.7%
กระจกกันควัน 2
 
0.7%
ห้ามพิง 2
 
0.7%
Other values (2) 4
 
1.5%

태국어3
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
261 
หยุดก่อน
 
3
แจ้งให้ทราบ
 
3

Length

Max length11
Median length4
Mean length4.1235955
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 261
97.8%
หยุดก่อน 3
 
1.1%
แจ้งให้ทราบ 3
 
1.1%

Length

2023-12-12T13:43:52.814195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:43:52.931040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 261
97.8%
หยุดก่อน 3
 
1.1%
แจ้งให้ทราบ 3
 
1.1%
Distinct230
Distinct (%)86.5%
Missing1
Missing (%)0.4%
Memory size2.2 KiB
2023-12-12T13:43:53.163713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length101
Median length47
Mean length26.184211
Min length4

Characters and Unicode

Total characters6965
Distinct characters75
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique202 ?
Unique (%)75.9%

Sample

1st rowХурдаа хасна уу
2nd rowХурдаа хасна уу
3rd rowЗам тээвэрийн осол ихтэй зам
4th rowЗам тээвэрийн осол ихтэй зам
5th rowЗасвар үйлчилгээний мэдээлэл
ValueCountFrequency (%)
хориглоно 29
 
3.0%
болгоомжил 25
 
2.6%
зам 17
 
1.7%
хориотой 17
 
1.7%
үү 15
 
1.5%
газар 13
 
1.3%
аюултай 12
 
1.2%
машин 11
 
1.1%
зогсоол 10
 
1.0%
эргэх 9
 
0.9%
Other values (470) 818
83.8%
2023-12-12T13:43:53.630545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
а 733
 
10.5%
729
 
10.5%
о 452
 
6.5%
г 391
 
5.6%
х 379
 
5.4%
р 354
 
5.1%
н 354
 
5.1%
л 352
 
5.1%
э 284
 
4.1%
и 274
 
3.9%
Other values (65) 2663
38.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5659
81.2%
Space Separator 729
 
10.5%
Uppercase Letter 535
 
7.7%
Other Punctuation 21
 
0.3%
Close Punctuation 7
 
0.1%
Open Punctuation 7
 
0.1%
Decimal Number 4
 
0.1%
Format 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
а 733
 
13.0%
о 452
 
8.0%
г 391
 
6.9%
х 379
 
6.7%
р 354
 
6.3%
н 354
 
6.3%
л 352
 
6.2%
э 284
 
5.0%
и 274
 
4.8%
т 207
 
3.7%
Other values (22) 1879
33.2%
Uppercase Letter
ValueCountFrequency (%)
А 57
 
10.7%
Х 55
 
10.3%
Г 46
 
8.6%
О 35
 
6.5%
Н 29
 
5.4%
З 27
 
5.0%
Т 24
 
4.5%
У 22
 
4.1%
Ө 20
 
3.7%
Л 20
 
3.7%
Other values (21) 200
37.4%
Decimal Number
ValueCountFrequency (%)
2 1
25.0%
4 1
25.0%
1 1
25.0%
3 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 14
66.7%
! 5
 
23.8%
. 2
 
9.5%
Space Separator
ValueCountFrequency (%)
729
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Format
ValueCountFrequency (%)
2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Cyrillic 6178
88.7%
Common 771
 
11.1%
Latin 16
 
0.2%

Most frequent character per script

Cyrillic
ValueCountFrequency (%)
а 733
 
11.9%
о 452
 
7.3%
г 391
 
6.3%
х 379
 
6.1%
р 354
 
5.7%
н 354
 
5.7%
л 352
 
5.7%
э 284
 
4.6%
и 274
 
4.4%
т 207
 
3.4%
Other values (50) 2398
38.8%
Common
ValueCountFrequency (%)
729
94.6%
, 14
 
1.8%
) 7
 
0.9%
( 7
 
0.9%
! 5
 
0.6%
. 2
 
0.3%
2
 
0.3%
2 1
 
0.1%
4 1
 
0.1%
1 1
 
0.1%
Other values (2) 2
 
0.3%
Latin
ValueCountFrequency (%)
C 8
50.0%
T 4
25.0%
V 4
25.0%

Most occurring blocks

ValueCountFrequency (%)
Cyrillic 6178
88.7%
ASCII 785
 
11.3%
Punctuation 2
 
< 0.1%

Most frequent character per block

Cyrillic
ValueCountFrequency (%)
а 733
 
11.9%
о 452
 
7.3%
г 391
 
6.3%
х 379
 
6.1%
р 354
 
5.7%
н 354
 
5.7%
л 352
 
5.7%
э 284
 
4.6%
и 274
 
4.4%
т 207
 
3.4%
Other values (50) 2398
38.8%
ASCII
ValueCountFrequency (%)
729
92.9%
, 14
 
1.8%
C 8
 
1.0%
) 7
 
0.9%
( 7
 
0.9%
! 5
 
0.6%
T 4
 
0.5%
V 4
 
0.5%
. 2
 
0.3%
2 1
 
0.1%
Other values (4) 4
 
0.5%
Punctuation
ValueCountFrequency (%)
2
100.0%

몽골어2
Text

MISSING 

Distinct15
Distinct (%)53.6%
Missing239
Missing (%)89.5%
Memory size2.2 KiB
2023-12-12T13:43:53.837517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length36
Mean length25.821429
Min length5

Characters and Unicode

Total characters723
Distinct characters33
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

Unique3 ?
Unique (%)10.7%

Sample

1st rowБаруун эргэх хориотой
2nd rowГал унтраах усны хоолой хадгалах хайрцаг
3rd rowГал унтраах усны хоолой хадгалах хайрцаг
4th rowАнхааруулгын бичиг
5th rowАнхааруулгын бичиг
ValueCountFrequency (%)
хориглоно 7
 
6.7%
гал 7
 
6.7%
унтраах 4
 
3.8%
хайрцаг 4
 
3.8%
зогс 3
 
2.9%
уутийг 2
 
1.9%
хөндлөн 2
 
1.9%
гарч 2
 
1.9%
болохгүй 2
 
1.9%
эсвэл 2
 
1.9%
Other values (40) 69
66.3%
2023-12-12T13:43:54.187168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
а 101
14.0%
78
10.8%
о 60
 
8.3%
х 59
 
8.2%
г 52
 
7.2%
л 50
 
6.9%
н 43
 
5.9%
р 38
 
5.3%
у 36
 
5.0%
и 33
 
4.6%
Other values (23) 173
23.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 624
86.3%
Space Separator 78
 
10.8%
Uppercase Letter 17
 
2.4%
Other Punctuation 4
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
а 101
16.2%
о 60
9.6%
х 59
9.5%
г 52
 
8.3%
л 50
 
8.0%
н 43
 
6.9%
р 38
 
6.1%
у 36
 
5.8%
и 33
 
5.3%
й 22
 
3.5%
Other values (15) 130
20.8%
Uppercase Letter
ValueCountFrequency (%)
Г 6
35.3%
Х 5
29.4%
З 3
17.6%
А 2
 
11.8%
Б 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
! 3
75.0%
, 1
 
25.0%
Space Separator
ValueCountFrequency (%)
78
100.0%

Most occurring scripts

ValueCountFrequency (%)
Cyrillic 641
88.7%
Common 82
 
11.3%

Most frequent character per script

Cyrillic
ValueCountFrequency (%)
а 101
15.8%
о 60
9.4%
х 59
9.2%
г 52
 
8.1%
л 50
 
7.8%
н 43
 
6.7%
р 38
 
5.9%
у 36
 
5.6%
и 33
 
5.1%
й 22
 
3.4%
Other values (20) 147
22.9%
Common
ValueCountFrequency (%)
78
95.1%
! 3
 
3.7%
, 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Cyrillic 641
88.7%
ASCII 82
 
11.3%

Most frequent character per block

Cyrillic
ValueCountFrequency (%)
а 101
15.8%
о 60
9.4%
х 59
9.2%
г 52
 
8.1%
л 50
 
7.8%
н 43
 
6.7%
р 38
 
5.9%
у 36
 
5.6%
и 33
 
5.1%
й 22
 
3.4%
Other values (20) 147
22.9%
ASCII
ValueCountFrequency (%)
78
95.1%
! 3
 
3.7%
, 1
 
1.2%

몽골어3
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
264 
Эхлээд зогс
 
3

Length

Max length11
Median length4
Mean length4.0786517
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 264
98.9%
Эхлээд зогс 3
 
1.1%

Length

2023-12-12T13:43:54.384286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:43:54.497275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 264
97.8%
эхлээд 3
 
1.1%
зогс 3
 
1.1%
Distinct226
Distinct (%)85.0%
Missing1
Missing (%)0.4%
Memory size2.2 KiB
2023-12-12T13:43:54.790275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length42
Mean length23.488722
Min length5

Characters and Unicode

Total characters6248
Distinct characters67
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

Unique194 ?
Unique (%)72.9%

Sample

1st rowDESPACIO
2nd rowDESPACIO
3rd rowZONA DE ACCIDENTES FREQUENTES
4th rowZONA DE ACCIDENTES FREQUENTES
5th rowINFORMACIÓN SOBRE MANTENIMIENTO
ValueCountFrequency (%)
de 116
 
12.8%
prohibido 39
 
4.3%
advertencia 18
 
2.0%
la 18
 
2.0%
para 17
 
1.9%
en 15
 
1.7%
zona 15
 
1.7%
peligro 14
 
1.5%
el 13
 
1.4%
con 12
 
1.3%
Other values (331) 627
69.4%
2023-12-12T13:43:55.410607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
656
 
10.5%
a 360
 
5.8%
A 354
 
5.7%
e 316
 
5.1%
E 305
 
4.9%
i 257
 
4.1%
O 254
 
4.1%
o 244
 
3.9%
I 242
 
3.9%
R 224
 
3.6%
Other values (57) 3036
48.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 2801
44.8%
Lowercase Letter 2781
44.5%
Space Separator 656
 
10.5%
Other Punctuation 5
 
0.1%
Decimal Number 3
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 360
12.9%
e 316
11.4%
i 257
9.2%
o 244
8.8%
r 201
 
7.2%
d 183
 
6.6%
s 176
 
6.3%
c 160
 
5.8%
n 160
 
5.8%
t 135
 
4.9%
Other values (20) 589
21.2%
Uppercase Letter
ValueCountFrequency (%)
A 354
12.6%
E 305
10.9%
O 254
9.1%
I 242
 
8.6%
R 224
 
8.0%
C 176
 
6.3%
N 174
 
6.2%
D 162
 
5.8%
S 144
 
5.1%
P 133
 
4.7%
Other values (19) 633
22.6%
Decimal Number
ValueCountFrequency (%)
1 1
33.3%
2 1
33.3%
4 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 3
60.0%
: 2
40.0%
Space Separator
ValueCountFrequency (%)
656
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5582
89.3%
Common 666
 
10.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 360
 
6.4%
A 354
 
6.3%
e 316
 
5.7%
E 305
 
5.5%
i 257
 
4.6%
O 254
 
4.6%
o 244
 
4.4%
I 242
 
4.3%
R 224
 
4.0%
r 201
 
3.6%
Other values (49) 2825
50.6%
Common
ValueCountFrequency (%)
656
98.5%
, 3
 
0.5%
: 2
 
0.3%
1 1
 
0.2%
) 1
 
0.2%
( 1
 
0.2%
2 1
 
0.2%
4 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6149
98.4%
None 99
 
1.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
656
 
10.7%
a 360
 
5.9%
A 354
 
5.8%
e 316
 
5.1%
E 305
 
5.0%
i 257
 
4.2%
O 254
 
4.1%
o 244
 
4.0%
I 242
 
3.9%
R 224
 
3.6%
Other values (46) 2937
47.8%
None
ValueCountFrequency (%)
ó 28
28.3%
Ó 19
19.2%
Í 14
14.1%
é 9
 
9.1%
Á 7
 
7.1%
í 7
 
7.1%
á 5
 
5.1%
ú 4
 
4.0%
Ñ 2
 
2.0%
É 2
 
2.0%

스페인어2
Text

MISSING 

Distinct11
Distinct (%)50.0%
Missing245
Missing (%)91.8%
Memory size2.2 KiB
2023-12-12T13:43:55.655585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length21
Mean length18.772727
Min length6

Characters and Unicode

Total characters413
Distinct characters41
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 (%)9.1%

Sample

1st rowPROHIBIDO ARROJAR BASURA SIN AUTORIZACIÓN
2nd rowPROHIBIDO ARROJAR BASURA SIN AUTORIZACIÓN
3rd rowPROHIBIDO ARROJAR BASURA SIN AUTORIZACIÓN
4th rowSALIDA
5th rowLIBERAR
ValueCountFrequency (%)
de 6
 
10.7%
autorización 3
 
5.4%
arrojar 3
 
5.4%
detenerse 3
 
5.4%
prohibido 3
 
5.4%
sin 3
 
5.4%
basura 3
 
5.4%
equipo 2
 
3.6%
hidratante 2
 
3.6%
asbasto 2
 
3.6%
Other values (14) 26
46.4%
2023-12-12T13:43:56.074067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
E 37
 
9.0%
A 35
 
8.5%
34
 
8.2%
R 31
 
7.5%
I 29
 
7.0%
O 22
 
5.3%
N 21
 
5.1%
T 16
 
3.9%
S 16
 
3.9%
a 14
 
3.4%
Other values (31) 158
38.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 281
68.0%
Lowercase Letter 98
 
23.7%
Space Separator 34
 
8.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 37
13.2%
A 35
12.5%
R 31
11.0%
I 29
10.3%
O 22
 
7.8%
N 21
 
7.5%
T 16
 
5.7%
S 16
 
5.7%
D 11
 
3.9%
U 8
 
2.8%
Other values (13) 55
19.6%
Lowercase Letter
ValueCountFrequency (%)
a 14
14.3%
e 14
14.3%
t 10
10.2%
o 8
8.2%
s 8
8.2%
r 8
8.2%
d 8
8.2%
u 4
 
4.1%
i 4
 
4.1%
n 4
 
4.1%
Other values (7) 16
16.3%
Space Separator
ValueCountFrequency (%)
34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 379
91.8%
Common 34
 
8.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 37
 
9.8%
A 35
 
9.2%
R 31
 
8.2%
I 29
 
7.7%
O 22
 
5.8%
N 21
 
5.5%
T 16
 
4.2%
S 16
 
4.2%
a 14
 
3.7%
e 14
 
3.7%
Other values (30) 144
38.0%
Common
ValueCountFrequency (%)
34
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 408
98.8%
None 5
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 37
 
9.1%
A 35
 
8.6%
34
 
8.3%
R 31
 
7.6%
I 29
 
7.1%
O 22
 
5.4%
N 21
 
5.1%
T 16
 
3.9%
S 16
 
3.9%
a 14
 
3.4%
Other values (29) 153
37.5%
None
ValueCountFrequency (%)
Ó 3
60.0%
Í 2
40.0%

스페인어3
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
261 
PROHIBIDO ARROJAR RESIDUOS SIN AUTORIZACIÓN
 
3
PARADA TEMPORAL
 
3

Length

Max length43
Median length4
Mean length4.5617978
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 261
97.8%
PROHIBIDO ARROJAR RESIDUOS SIN AUTORIZACIÓN 3
 
1.1%
PARADA TEMPORAL 3
 
1.1%

Length

2023-12-12T13:43:56.270642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:43:56.442256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 261
92.6%
prohibido 3
 
1.1%
arrojar 3
 
1.1%
residuos 3
 
1.1%
sin 3
 
1.1%
autorización 3
 
1.1%
parada 3
 
1.1%
temporal 3
 
1.1%
Distinct227
Distinct (%)85.3%
Missing1
Missing (%)0.4%
Memory size2.2 KiB
2023-12-12T13:43:56.738744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length37
Mean length22.31203
Min length4

Characters and Unicode

Total characters5935
Distinct characters66
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique194 ?
Unique (%)72.9%

Sample

1st rowМедленно
2nd rowМедленно
3rd rowАварийно-опасный участок дороги
4th rowАварийно-опасный участок дороги
5th rowИнформация о техническом обслуживании
ValueCountFrequency (%)
осторожно 25
 
3.5%
для 18
 
2.5%
с 13
 
1.8%
запрещено 12
 
1.7%
опасно 12
 
1.7%
не 12
 
1.7%
в 11
 
1.5%
запрещена 11
 
1.5%
вход 10
 
1.4%
работать 8
 
1.1%
Other values (385) 589
81.7%
2023-12-12T13:43:57.366410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
о 649
 
10.9%
е 490
 
8.3%
460
 
7.8%
а 451
 
7.6%
н 404
 
6.8%
р 318
 
5.4%
т 310
 
5.2%
и 298
 
5.0%
с 249
 
4.2%
в 186
 
3.1%
Other values (56) 2120
35.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5024
84.7%
Space Separator 460
 
7.8%
Uppercase Letter 279
 
4.7%
Other Punctuation 151
 
2.5%
Dash Punctuation 9
 
0.2%
Close Punctuation 5
 
0.1%
Open Punctuation 5
 
0.1%
Decimal Number 1
 
< 0.1%
Nonspacing Mark 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
о 649
12.9%
е 490
 
9.8%
а 451
 
9.0%
н 404
 
8.0%
р 318
 
6.3%
т 310
 
6.2%
и 298
 
5.9%
с 249
 
5.0%
в 186
 
3.7%
д 180
 
3.6%
Other values (23) 1489
29.6%
Uppercase Letter
ValueCountFrequency (%)
О 54
19.4%
П 40
14.3%
В 34
12.2%
С 25
9.0%
Р 19
 
6.8%
З 13
 
4.7%
Н 12
 
4.3%
М 11
 
3.9%
Д 11
 
3.9%
А 11
 
3.9%
Other values (14) 49
17.6%
Other Punctuation
ValueCountFrequency (%)
! 105
69.5%
: 27
 
17.9%
, 19
 
12.6%
Space Separator
ValueCountFrequency (%)
460
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Nonspacing Mark
ValueCountFrequency (%)
́ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Cyrillic 5296
89.2%
Common 631
 
10.6%
Latin 7
 
0.1%
Inherited 1
 
< 0.1%

Most frequent character per script

Cyrillic
ValueCountFrequency (%)
о 649
 
12.3%
е 490
 
9.3%
а 451
 
8.5%
н 404
 
7.6%
р 318
 
6.0%
т 310
 
5.9%
и 298
 
5.6%
с 249
 
4.7%
в 186
 
3.5%
д 180
 
3.4%
Other values (43) 1761
33.3%
Common
ValueCountFrequency (%)
460
72.9%
! 105
 
16.6%
: 27
 
4.3%
, 19
 
3.0%
- 9
 
1.4%
) 5
 
0.8%
( 5
 
0.8%
1 1
 
0.2%
Latin
ValueCountFrequency (%)
O 4
57.1%
K 1
 
14.3%
V 1
 
14.3%
H 1
 
14.3%
Inherited
ValueCountFrequency (%)
́ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Cyrillic 5296
89.2%
ASCII 638
 
10.7%
Diacriticals 1
 
< 0.1%

Most frequent character per block

Cyrillic
ValueCountFrequency (%)
о 649
 
12.3%
е 490
 
9.3%
а 451
 
8.5%
н 404
 
7.6%
р 318
 
6.0%
т 310
 
5.9%
и 298
 
5.6%
с 249
 
4.7%
в 186
 
3.5%
д 180
 
3.4%
Other values (43) 1761
33.3%
ASCII
ValueCountFrequency (%)
460
72.1%
! 105
 
16.5%
: 27
 
4.2%
, 19
 
3.0%
- 9
 
1.4%
) 5
 
0.8%
( 5
 
0.8%
O 4
 
0.6%
K 1
 
0.2%
V 1
 
0.2%
Other values (2) 2
 
0.3%
Diacriticals
ValueCountFrequency (%)
́ 1
100.0%

러시아어2
Text

MISSING 

Distinct7
Distinct (%)58.3%
Missing255
Missing (%)95.5%
Memory size2.2 KiB
2023-12-12T13:43:57.656030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length17.75
Min length5

Characters and Unicode

Total characters213
Distinct characters33
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

Unique3 ?
Unique (%)25.0%

Sample

1st rowДвижение прямо или направо
2nd rowНезащищённый левый поворот
3rd rowНезащищённый левый поворот
4th rowвыход
5th rowПротивопожарное стекло
ValueCountFrequency (%)
объявление 3
12.0%
незащищённый 2
 
8.0%
левый 2
 
8.0%
поворот 2
 
8.0%
противопожарное 2
 
8.0%
стекло 2
 
8.0%
не 2
 
8.0%
прислоняться 2
 
8.0%
движение 1
 
4.0%
прямо 1
 
4.0%
Other values (6) 6
24.0%
2023-12-12T13:43:58.135020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
о 26
 
12.2%
е 19
 
8.9%
н 15
 
7.0%
и 14
 
6.6%
13
 
6.1%
в 13
 
6.1%
р 12
 
5.6%
л 11
 
5.2%
а 9
 
4.2%
с 9
 
4.2%
Other values (23) 72
33.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 190
89.2%
Space Separator 13
 
6.1%
Uppercase Letter 8
 
3.8%
Other Punctuation 2
 
0.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
о 26
13.7%
е 19
 
10.0%
н 15
 
7.9%
и 14
 
7.4%
в 13
 
6.8%
р 12
 
6.3%
л 11
 
5.8%
а 9
 
4.7%
с 9
 
4.7%
т 9
 
4.7%
Other values (17) 53
27.9%
Uppercase Letter
ValueCountFrequency (%)
Н 4
50.0%
П 2
25.0%
Д 1
 
12.5%
К 1
 
12.5%
Space Separator
ValueCountFrequency (%)
13
100.0%
Other Punctuation
ValueCountFrequency (%)
! 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Cyrillic 198
93.0%
Common 15
 
7.0%

Most frequent character per script

Cyrillic
ValueCountFrequency (%)
о 26
13.1%
е 19
 
9.6%
н 15
 
7.6%
и 14
 
7.1%
в 13
 
6.6%
р 12
 
6.1%
л 11
 
5.6%
а 9
 
4.5%
с 9
 
4.5%
т 9
 
4.5%
Other values (21) 61
30.8%
Common
ValueCountFrequency (%)
13
86.7%
! 2
 
13.3%

Most occurring blocks

ValueCountFrequency (%)
Cyrillic 198
93.0%
ASCII 15
 
7.0%

Most frequent character per block

Cyrillic
ValueCountFrequency (%)
о 26
13.1%
е 19
 
9.6%
н 15
 
7.6%
и 14
 
7.1%
в 13
 
6.6%
р 12
 
6.1%
л 11
 
5.6%
а 9
 
4.5%
с 9
 
4.5%
т 9
 
4.5%
Other values (21) 61
30.8%
ASCII
ValueCountFrequency (%)
13
86.7%
! 2
 
13.3%

러시아어3
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
264 
сообщаем
 
3

Length

Max length8
Median length4
Mean length4.0449438
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 264
98.9%
сообщаем 3
 
1.1%

Length

2023-12-12T13:43:58.369111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:43:58.557106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 264
98.9%
сообщаем 3
 
1.1%

Sample

번호표제어설명영어1영어2중국어1중국어2중국어3일본어1일본어2일본어3일본어4베트남어1베트남어2태국어1태국어2태국어3몽골어1몽골어2몽골어3스페인어1스페인어2스페인어3러시아어1러시아어2러시아어3
01천천히이동할 때 느리게Slow Down<NA>减速慢行<NA><NA>ゆっくり徐行<NA><NA>Đi chậm<NA>ช้าๆเคลื่อนที่ช้าๆ<NA>Хурдаа хасна уу<NA><NA>DESPACIO<NA><NA>Медленно<NA><NA>
12서행이동할 때 느리게. 한자로는 "徐行"Slow Down<NA>减速慢行<NA><NA>ゆっくり徐行<NA><NA>Đi chậm<NA>ช้าๆเคลื่อนที่ช้าๆ<NA>Хурдаа хасна уу<NA><NA>DESPACIO<NA><NA>Медленно<NA><NA>
23사고잦은 곳사고가 자주 발생하는 곳. 한글과 한자로는 "事故 잦은 곳"Accident Black Spot<NA>事故易发路段事故多发路段事故易多发路地段事故多発地点<NA><NA><NA>Nơi thường xuyên xảy ra tai nạn<NA>จุดเกิดอุบัติเหตุบ่อย<NA><NA>Зам тээвэрийн осол ихтэй зам<NA><NA>ZONA DE ACCIDENTES FREQUENTES<NA><NA>Аварийно-опасный участок дороги<NA><NA>
34사고다발지점사고가 자주 발생하는 곳. 한자로는 "事故多發地點"Accident Black Spot<NA>事故易发路段事故多发路段事故易多发路地段事故多発地点<NA><NA><NA>Nơi thường xuyên xảy ra tai nạn<NA>จุดเกิดอุบัติเหตุบ่อย<NA><NA>Зам тээвэрийн осол ихтэй зам<NA><NA>ZONA DE ACCIDENTES FREQUENTES<NA><NA>Аварийно-опасный участок дороги<NA><NA>
45정비안내기계나 시설 등이 잘 작동하도록 고치거나 손질하는 것에 대해 알립니다. 한자로는 "整備案內"Maintenance Notice<NA>正在维修<NA><NA>点検整備中整備中点検中メンテナンス中Đang được bảo trì<NA>คำชี้แจ้งการซ่อมบำรุง<NA><NA>Засвар үйлчилгээний мэдээлэл<NA><NA>INFORMACIÓN SOBRE MANTENIMIENTO<NA><NA>Информация о техническом обслуживании<NA><NA>
56전면주차차량 앞부분부터 주차장에 들어가서 차량 배기가스로부터 식물을 보호하는 주차. 한자로는 "前面駐車"Front End Parking Only<NA>前进停车<NA><NA>前向き駐車<NA><NA><NA>Đậu hướng mui xe vào trước<NA>จอดรถโดยหันหน้าเข้า<NA><NA>Машин урд талаар нь тавих зогсоол<NA><NA>ESTACIONAMIENTO EN FILA<NA><NA>Парковка передним ходом<NA><NA>
67통제구역사람들의 접근이나 출입을 통제하는 구역. 따라서. 허가받은 사람을 제외하고는 이 구역에 접근하거나 통제하는 것이 금지되어 있다는 뜻. 한자로는 "統制區域"RESTRICTED AREA<NA>限制区域<NA><NA>統制区域<NA><NA><NA>Khu vực kiểm soát ra vào<NA>เขตหวงห้าม<NA><NA>ХЯЗГААРЛАГДСАН ХЭСЭГ<NA><NA>ZONA RESTRINGIDA<NA><NA>Oграниченная территория<NA><NA>
78직원외 출입금지이곳에서 일하는 사람만 드나들 수 있으니. 그 밖의 사람은 드나들지 마세요. 한자로는 "職員外 出入禁止"Staff Only<NA>非工作人员禁止入内<NA><NA>関係者以外立入禁止<NA><NA><NA>Không phận sự miễn vào<NA>เฉพาะเจ้าหน้าที่เท่านั้น บุคคลภายนอกห้ามเข้า<NA><NA>Ажилчдын өрөө, Гадны хүн орохыг хориглоно<NA><NA>SÓLO PERSONAL AUTORIZADO<NA><NA>Посторонним вход воспрещен!<NA><NA>
89유턴금지이 곳에서 유턴하는 것은 금지되어 있습니다. 영어와 한자로는 "U-TURN 禁止"No U Turn<NA>禁止掉头<NA><NA>Uターン禁止<NA><NA><NA>Cấm quay đầu xe<NA>ห้ามกลับรถ<NA><NA>Буцаж эргэх хориотой<NA><NA>PROHIBIDO GIRAR EN U<NA><NA>Разворот запрещен<NA><NA>
910낙상주의병원 침대 등에서 떨어져서 다치지 않도록 조심하세요. 한자로는 "落傷注意"Caution Trip Hazard<NA>当心跌倒<NA><NA>転落注意<NA><NA><NA>Chú ý dễ ngã<NA>ระวังตกจากที่สูง<NA><NA>халтирахаас болгоомжил<NA><NA>PELIGRO DE CAIDA<NA><NA>Осторожно, не упадите!<NA><NA>
번호표제어설명영어1영어2중국어1중국어2중국어3일본어1일본어2일본어3일본어4베트남어1베트남어2태국어1태국어2태국어3몽골어1몽골어2몽골어3스페인어1스페인어2스페인어3러시아어1러시아어2러시아어3
257258표받는 곳표를 받는 곳Tollgate<NA>取票处<NA><NA>料金所<NA><NA><NA>Nơi lấy vé<NA>จุดรับบัตร<NA><NA>Тасалбар авах газар<NA><NA>Peaje<NA><NA>Шлагбаум (пункт получения билета)<NA><NA>
258259취사행위금지이 곳에서 음식을 만들지 마세요. 한자로는 "炊事行爲禁止"No Cooking<NA>禁止野炊<NA><NA>炊事禁止<NA><NA><NA>Cấm hành vi nấu nướng<NA>ห้ามประกอบอาหาร<NA><NA>Хоол хийх хориотой<NA><NA>PROHIBIDO COCINAR<NA><NA>Разводить костры запрещено!<NA><NA>
259260촬영금지이곳에서 사진이나 동영상을 찍지 마세요. 한자로는 "撮影禁止"No Photography<NA>禁止拍摄<NA><NA>撮影禁止<NA><NA><NA>Cấm quay phim chụp hình<NA>ห้ามถ่ายภาพ<NA><NA>Зураг авах хориотой<NA><NA>PROHIBIDO TOMAR FOTOS O FILMAR VIDEOS<NA><NA>Фото-видеосъёмка запрещена!<NA><NA>
260261좌회전시 적신호시도로에서 좌회전 신호나 적신호일 때. 한자로는 "左回轉時 赤信號時"On Green Arrow or Red<NA>左转弯信号时 红灯信号时<NA><NA>左折時 赤信号時<NA><NA><NA>Khi có tín hiệu rẽ trái hoặc khi đèn đỏ<NA>เลี้ยวซ้ายผ่านตลอด<NA><NA>Зүүн тийш эргэх үедээ улаан гэрлээр явна<NA><NA>GIRA A LA IZQUIERDA EN LA LUZ ROJA<NA><NA>Место для разворотаКрасный сигнал светофора<NA>
261262외부인 출입금지이곳에서 일하는 직원이나 출입을 허가받은 사람들을 제외하고는 출입하지 마세요.한자로는 "外部人 出入禁止"Authorized Personnel OnlyNo Entry for Outsiders非工作人员禁止入内<NA><NA>部外者立入禁止<NA><NA><NA>Khu vực cấm người ngoài<NA>บุคคลภายนอกห้ามเข้า<NA><NA>Гадны хүн орохыг хориглоно<NA><NA>ACCESO RESTRINGIDO<NA><NA>Посторонним вход воспрещён!<NA><NA>
262263들어가는 곳안으로 들어가는 길 또는 문Entrance<NA>入口<NA><NA>入口<NA><NA><NA>Lối vào<NA>ทางเข้า<NA><NA>Гарц<NA><NA>Entrada<NA><NA>Вход<NA><NA>
263264입구안으로 들어가는 길 또는 문. 한자로는 "入口"Entrance<NA>入口<NA><NA>入口<NA><NA><NA>Lối vào<NA>ทางเข้า<NA><NA>Гарц<NA><NA>Entrada<NA><NA>Вход<NA><NA>
264265교통안내이곳의 교통에 대해 알립니다.한자로는 "交通案內"Traffic Notice<NA>交通告示<NA><NA>交通案内<NA><NA><NA>Hướng dẫn giao thông<NA>ป้ายจราจร<NA><NA>Замын хөдөлгөөний мэдээлэл<NA><NA>INFORMACIÓN DE TRÁFICO<NA><NA>Дорожное информирование<NA><NA>
265266우측통행이 통로나 에스컬레이트에서는 가급적 오른편에서 걸어가세요.한자로는 "右側通行"Keep Right<NA>右侧通行<NA><NA>右側通行<NA><NA><NA>Đi lối phía bên phải<NA>ชิดขวา<NA><NA>Баруун гарын дүрмээр явах<NA><NA>CAMINE POR LA DERECHA<NA><NA>Правостороннее движение<NA><NA>
266<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>