Overview

Dataset statistics

Number of variables6
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory52.7 B

Variable types

Numeric1
Text5

Dataset

Description메디컬코리아에서 제공하는 의료 관관 관련 유용한 사이트 목록 정보를 제공합니다. 사이트명에 대해 영어, 일어, 중국어, 러시아어로 제공합니다.
Author한국보건산업진흥원
URLhttps://www.data.go.kr/data/15122019/fileData.do

Alerts

순번 has unique valuesUnique
사이트명(영어) has unique valuesUnique
사이트명(일어) has unique valuesUnique
사이트명(중국어) has unique valuesUnique
사이트 주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:00:48.086482
Analysis finished2023-12-12 18:00:49.171832
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.5
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-13T03:00:49.253046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.75
Q19.75
median18.5
Q327.25
95-th percentile34.25
Maximum36
Range35
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation10.535654
Coefficient of variation (CV)0.5694948
Kurtosis-1.2
Mean18.5
Median Absolute Deviation (MAD)9
Skewness0
Sum666
Variance111
MonotonicityStrictly increasing
2023-12-13T03:00:49.377165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1 1
 
2.8%
20 1
 
2.8%
22 1
 
2.8%
23 1
 
2.8%
24 1
 
2.8%
25 1
 
2.8%
26 1
 
2.8%
27 1
 
2.8%
28 1
 
2.8%
29 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
1 1
2.8%
2 1
2.8%
3 1
2.8%
4 1
2.8%
5 1
2.8%
6 1
2.8%
7 1
2.8%
8 1
2.8%
9 1
2.8%
10 1
2.8%
ValueCountFrequency (%)
36 1
2.8%
35 1
2.8%
34 1
2.8%
33 1
2.8%
32 1
2.8%
31 1
2.8%
30 1
2.8%
29 1
2.8%
28 1
2.8%
27 1
2.8%

사이트명(영어)
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-13T03:00:49.638394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length53.5
Mean length44.5
Min length18

Characters and Unicode

Total characters1602
Distinct characters53
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

Unique36 ?
Unique (%)100.0%

Sample

1st rowMinistry of Health and Welfare (MOHW)
2nd rowMinistry of Culture, Sports and Tourism(MCST)
3rd rowKorea Health Industry Development Institute(KHIDI)
4th rowKorea Tourism Organization
5th rowKorea Disease Control and Prevention Agency
ValueCountFrequency (%)
tourism 12
 
6.0%
of 10
 
5.0%
korea 9
 
4.5%
medical 9
 
4.5%
and 8
 
4.0%
policy 7
 
3.5%
division 7
 
3.5%
metropolitan 7
 
3.5%
health 7
 
3.5%
city 6
 
3.0%
Other values (79) 118
59.0%
2023-12-13T03:00:50.075169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
166
 
10.4%
i 131
 
8.2%
e 129
 
8.1%
o 125
 
7.8%
n 117
 
7.3%
a 105
 
6.6%
t 93
 
5.8%
r 87
 
5.4%
s 57
 
3.6%
l 57
 
3.6%
Other values (43) 535
33.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1204
75.2%
Uppercase Letter 197
 
12.3%
Space Separator 166
 
10.4%
Open Punctuation 9
 
0.6%
Close Punctuation 9
 
0.6%
Other Punctuation 9
 
0.6%
Dash Punctuation 6
 
0.4%
Decimal Number 2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 131
10.9%
e 129
10.7%
o 125
10.4%
n 117
9.7%
a 105
8.7%
t 93
 
7.7%
r 87
 
7.2%
s 57
 
4.7%
l 57
 
4.7%
u 47
 
3.9%
Other values (14) 256
21.3%
Uppercase Letter
ValueCountFrequency (%)
M 26
13.2%
T 21
10.7%
D 20
10.2%
P 18
9.1%
C 16
 
8.1%
I 15
 
7.6%
K 14
 
7.1%
G 9
 
4.6%
O 8
 
4.1%
H 8
 
4.1%
Other values (10) 42
21.3%
Other Punctuation
ValueCountFrequency (%)
, 7
77.8%
& 1
 
11.1%
. 1
 
11.1%
Decimal Number
ValueCountFrequency (%)
9 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
166
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1401
87.5%
Common 201
 
12.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 131
 
9.4%
e 129
 
9.2%
o 125
 
8.9%
n 117
 
8.4%
a 105
 
7.5%
t 93
 
6.6%
r 87
 
6.2%
s 57
 
4.1%
l 57
 
4.1%
u 47
 
3.4%
Other values (34) 453
32.3%
Common
ValueCountFrequency (%)
166
82.6%
( 9
 
4.5%
) 9
 
4.5%
, 7
 
3.5%
- 6
 
3.0%
9 1
 
0.5%
1 1
 
0.5%
& 1
 
0.5%
. 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1602
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
166
 
10.4%
i 131
 
8.2%
e 129
 
8.1%
o 125
 
7.8%
n 117
 
7.3%
a 105
 
6.6%
t 93
 
5.8%
r 87
 
5.4%
s 57
 
3.6%
l 57
 
3.6%
Other values (43) 535
33.4%

사이트명(일어)
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-13T03:00:50.315230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length15
Mean length12.277778
Min length6

Characters and Unicode

Total characters442
Distinct characters150
Distinct categories9 ?
Distinct scripts5 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row保健福祉部(MOHW)
2nd row文化体育観光部(MCST)
3rd row韓国保健産業振興院(KHIDI)
4th row韓国観光公社
5th row韓国疾病予防管理庁
ValueCountFrequency (%)
保健福祉部(mohw 1
 
2.6%
慶尚北道福祉政策課 1
 
2.6%
大田広域市保健政策課 1
 
2.6%
大田観光公社(dime 1
 
2.6%
蔚山広域市食品医薬品安全課 1
 
2.6%
京畿道庁保健医療課 1
 
2.6%
京畿道)京畿観光公社 1
 
2.6%
忠清北道 1
 
2.6%
福祉政策課 1
 
2.6%
kto（英語、日本語、中国語） 1
 
2.6%
Other values (29) 29
74.4%
2023-12-13T03:00:50.720358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
 
6.6%
光 17
 
3.8%
国 15
 
3.4%
観 15
 
3.4%
課 12
 
2.7%
医 9
 
2.0%
語 8
 
1.8%
策 8
 
1.8%
政 8
 
1.8%
療 8
 
1.8%
Other values (140) 313
70.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 341
77.1%
Uppercase Letter 34
 
7.7%
Space Separator 29
 
6.6%
Open Punctuation 9
 
2.0%
Close Punctuation 9
 
2.0%
Other Punctuation 7
 
1.6%
Lowercase Letter 6
 
1.4%
Modifier Letter 5
 
1.1%
Decimal Number 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
光 17
 
5.0%
国 15
 
4.4%
観 15
 
4.4%
課 12
 
3.5%
医 9
 
2.6%
語 8
 
2.3%
策 8
 
2.3%
政 8
 
2.3%
療 8
 
2.3%
道 8
 
2.3%
Other values (110) 233
68.3%
Uppercase Letter
ValueCountFrequency (%)
I 5
14.7%
K 5
14.7%
M 5
14.7%
E 2
 
5.9%
O 2
 
5.9%
H 2
 
5.9%
C 2
 
5.9%
T 2
 
5.9%
D 2
 
5.9%
A 2
 
5.9%
Other values (5) 5
14.7%
Lowercase Letter
ValueCountFrequency (%)
b 2
33.3%
a 1
16.7%
e 1
16.7%
r 1
16.7%
o 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 7
77.8%
（ 2
 
22.2%
Close Punctuation
ValueCountFrequency (%)
) 7
77.8%
） 2
 
22.2%
Other Punctuation
ValueCountFrequency (%)
、 5
71.4%
・ 2
 
28.6%
Decimal Number
ValueCountFrequency (%)
9 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
29
100.0%
Modifier Letter
ValueCountFrequency (%)
ー 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 304
68.8%
Common 61
 
13.8%
Latin 40
 
9.0%
Katakana 35
 
7.9%
Hiragana 2
 
0.5%

Most frequent character per script

Han
ValueCountFrequency (%)
光 17
 
5.6%
国 15
 
4.9%
観 15
 
4.9%
課 12
 
3.9%
医 9
 
3.0%
語 8
 
2.6%
策 8
 
2.6%
政 8
 
2.6%
療 8
 
2.6%
道 8
 
2.6%
Other values (91) 196
64.5%
Latin
ValueCountFrequency (%)
I 5
12.5%
K 5
12.5%
M 5
12.5%
E 2
 
5.0%
O 2
 
5.0%
H 2
 
5.0%
C 2
 
5.0%
T 2
 
5.0%
D 2
 
5.0%
b 2
 
5.0%
Other values (10) 11
27.5%
Katakana
ValueCountFrequency (%)
ル 5
14.3%
タ 4
11.4%
ア 3
8.6%
セ 3
8.6%
ソ 3
8.6%
ウ 3
8.6%
ン 3
8.6%
ビ 2
 
5.7%
ラ 1
 
2.9%
ポ 1
 
2.9%
Other values (7) 7
20.0%
Common
ValueCountFrequency (%)
29
47.5%
( 7
 
11.5%
) 7
 
11.5%
ー 5
 
8.2%
、 5
 
8.2%
） 2
 
3.3%
・ 2
 
3.3%
（ 2
 
3.3%
9 1
 
1.6%
1 1
 
1.6%
Hiragana
ValueCountFrequency (%)
ど 1
50.0%
な 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
CJK 304
68.8%
ASCII 85
 
19.2%
Katakana 42
 
9.5%
None 9
 
2.0%
Hiragana 2
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29
34.1%
( 7
 
8.2%
) 7
 
8.2%
I 5
 
5.9%
K 5
 
5.9%
M 5
 
5.9%
E 2
 
2.4%
O 2
 
2.4%
H 2
 
2.4%
C 2
 
2.4%
Other values (15) 19
22.4%
CJK
ValueCountFrequency (%)
光 17
 
5.6%
国 15
 
4.9%
観 15
 
4.9%
課 12
 
3.9%
医 9
 
3.0%
語 8
 
2.6%
策 8
 
2.6%
政 8
 
2.6%
療 8
 
2.6%
道 8
 
2.6%
Other values (91) 196
64.5%
Katakana
ValueCountFrequency (%)
ー 5
11.9%
ル 5
11.9%
タ 4
9.5%
ア 3
 
7.1%
セ 3
 
7.1%
ソ 3
 
7.1%
ウ 3
 
7.1%
ン 3
 
7.1%
・ 2
 
4.8%
ビ 2
 
4.8%
Other values (9) 9
21.4%
None
ValueCountFrequency (%)
、 5
55.6%
） 2
 
22.2%
（ 2
 
22.2%
Hiragana
ValueCountFrequency (%)
ど 1
50.0%
な 1
50.0%

사이트명(중국어)
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-13T03:00:50.949185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length14
Mean length11.555556
Min length5

Characters and Unicode

Total characters416
Distinct characters152
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row保健福祉部（MOHW）
2nd row文化体育观光部（MCST）
3rd row韩国保健产业振兴院（KHIDI）
4th row韩国旅游发展局
5th row疾病管理厅
ValueCountFrequency (%)
保健福祉部（mohw） 1
 
2.7%
光州医疗观光支援中心 1
 
2.7%
大田广域市健康保健部 1
 
2.7%
大田营销公社（dime） 1
 
2.7%
蔚山广域市食品药品安全部 1
 
2.7%
京畿道保健医疗部 1
 
2.7%
（京畿道）京畿旅游发展局 1
 
2.7%
忠清北道福利政策部 1
 
2.7%
庆尚北道福利政策 1
 
2.7%
kto（英语、日语、中文） 1
 
2.7%
Other values (27) 27
73.0%
2023-12-13T03:00:51.369557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27
 
6.5%
光 13
 
3.1%
部 12
 
2.9%
观 11
 
2.6%
疗 10
 
2.4%
国 10
 
2.4%
医 10
 
2.4%
（ 9
 
2.2%
） 9
 
2.2%
道 8
 
1.9%
Other values (142) 297
71.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 328
78.8%
Uppercase Letter 30
 
7.2%
Space Separator 27
 
6.5%
Open Punctuation 9
 
2.2%
Close Punctuation 9
 
2.2%
Lowercase Letter 6
 
1.4%
Other Punctuation 5
 
1.2%
Decimal Number 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
光 13
 
4.0%
部 12
 
3.7%
观 11
 
3.4%
疗 10
 
3.0%
国 10
 
3.0%
医 10
 
3.0%
道 8
 
2.4%
政 8
 
2.4%
健 8
 
2.4%
策 7
 
2.1%
Other values (116) 231
70.4%
Uppercase Letter
ValueCountFrequency (%)
K 5
16.7%
I 4
13.3%
M 4
13.3%
T 2
 
6.7%
H 2
 
6.7%
A 2
 
6.7%
D 2
 
6.7%
O 2
 
6.7%
B 1
 
3.3%
P 1
 
3.3%
Other values (5) 5
16.7%
Lowercase Letter
ValueCountFrequency (%)
b 2
33.3%
a 1
16.7%
e 1
16.7%
r 1
16.7%
o 1
16.7%
Decimal Number
ValueCountFrequency (%)
9 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
27
100.0%
Open Punctuation
ValueCountFrequency (%)
（ 9
100.0%
Close Punctuation
ValueCountFrequency (%)
） 9
100.0%
Other Punctuation
ValueCountFrequency (%)
、 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 328
78.8%
Common 52
 
12.5%
Latin 36
 
8.7%

Most frequent character per script

Han
ValueCountFrequency (%)
光 13
 
4.0%
部 12
 
3.7%
观 11
 
3.4%
疗 10
 
3.0%
国 10
 
3.0%
医 10
 
3.0%
道 8
 
2.4%
政 8
 
2.4%
健 8
 
2.4%
策 7
 
2.1%
Other values (116) 231
70.4%
Latin
ValueCountFrequency (%)
K 5
13.9%
I 4
 
11.1%
M 4
 
11.1%
T 2
 
5.6%
b 2
 
5.6%
H 2
 
5.6%
A 2
 
5.6%
D 2
 
5.6%
O 2
 
5.6%
a 1
 
2.8%
Other values (10) 10
27.8%
Common
ValueCountFrequency (%)
27
51.9%
（ 9
 
17.3%
） 9
 
17.3%
、 5
 
9.6%
9 1
 
1.9%
1 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
CJK 328
78.8%
ASCII 65
 
15.6%
None 23
 
5.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27
41.5%
K 5
 
7.7%
I 4
 
6.2%
M 4
 
6.2%
T 2
 
3.1%
b 2
 
3.1%
H 2
 
3.1%
A 2
 
3.1%
D 2
 
3.1%
O 2
 
3.1%
Other values (13) 13
20.0%
CJK
ValueCountFrequency (%)
光 13
 
4.0%
部 12
 
3.7%
观 11
 
3.4%
疗 10
 
3.0%
国 10
 
3.0%
医 10
 
3.0%
道 8
 
2.4%
政 8
 
2.4%
健 8
 
2.4%
策 7
 
2.1%
Other values (116) 231
70.4%
None
ValueCountFrequency (%)
（ 9
39.1%
） 9
39.1%
、 5
21.7%

사이트명(러시아어)
Text

Distinct35
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-13T03:00:51.708677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length59.5
Mean length53.055556
Min length18

Characters and Unicode

Total characters1910
Distinct characters69
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)94.4%

Sample

1st rowМинистерство здравоохранения и социального обеспечения (MOHW)
2nd rowМинистерство культуры, спорта и туризма (MCST)
3rd rowМинистерство культуры, спорта и туризма (MCST)
4th rowКорейская туристическая организация
5th rowКорейское агентство по контролю и профилактике заболеваний
ValueCountFrequency (%)
и 11
 
5.6%
департамент 10
 
5.1%
туризма 9
 
4.6%
туристическая 6
 
3.0%
города-митрополии 5
 
2.5%
политики 5
 
2.5%
здравоохранения 5
 
2.5%
организация 5
 
2.5%
медицинского 4
 
2.0%
социального 4
 
2.0%
Other values (101) 133
67.5%
2023-12-13T03:00:52.211357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
и 200
 
10.5%
187
 
9.8%
о 159
 
8.3%
а 130
 
6.8%
н 113
 
5.9%
е 110
 
5.8%
р 107
 
5.6%
т 100
 
5.2%
с 84
 
4.4%
п 57
 
3.0%
Other values (59) 663
34.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1581
82.8%
Space Separator 187
 
9.8%
Uppercase Letter 98
 
5.1%
Dash Punctuation 13
 
0.7%
Close Punctuation 9
 
0.5%
Open Punctuation 9
 
0.5%
Other Punctuation 9
 
0.5%
Decimal Number 2
 
0.1%
Final Punctuation 1
 
0.1%
Initial Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
и 200
12.7%
о 159
 
10.1%
а 130
 
8.2%
н 113
 
7.1%
е 110
 
7.0%
р 107
 
6.8%
т 100
 
6.3%
с 84
 
5.3%
п 57
 
3.6%
к 54
 
3.4%
Other values (21) 467
29.5%
Uppercase Letter
ValueCountFrequency (%)
К 18
18.4%
Д 10
 
10.2%
Т 7
 
7.1%
M 6
 
6.1%
П 5
 
5.1%
М 5
 
5.1%
И 4
 
4.1%
С 4
 
4.1%
Б 4
 
4.1%
Ч 4
 
4.1%
Other values (18) 31
31.6%
Other Punctuation
ValueCountFrequency (%)
, 8
88.9%
. 1
 
11.1%
Decimal Number
ValueCountFrequency (%)
9 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
187
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Final Punctuation
ValueCountFrequency (%)
» 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
« 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Cyrillic 1651
86.4%
Common 231
 
12.1%
Latin 28
 
1.5%

Most frequent character per script

Cyrillic
ValueCountFrequency (%)
и 200
 
12.1%
о 159
 
9.6%
а 130
 
7.9%
н 113
 
6.8%
е 110
 
6.7%
р 107
 
6.5%
т 100
 
6.1%
с 84
 
5.1%
п 57
 
3.5%
к 54
 
3.3%
Other values (35) 537
32.5%
Latin
ValueCountFrequency (%)
M 6
21.4%
C 3
10.7%
I 3
10.7%
S 2
 
7.1%
K 2
 
7.1%
A 2
 
7.1%
E 2
 
7.1%
T 2
 
7.1%
N 1
 
3.6%
P 1
 
3.6%
Other values (4) 4
14.3%
Common
ValueCountFrequency (%)
187
81.0%
- 13
 
5.6%
) 9
 
3.9%
( 9
 
3.9%
, 8
 
3.5%
9 1
 
0.4%
1 1
 
0.4%
» 1
 
0.4%
« 1
 
0.4%
. 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Cyrillic 1651
86.4%
ASCII 257
 
13.5%
None 2
 
0.1%

Most frequent character per block

Cyrillic
ValueCountFrequency (%)
и 200
 
12.1%
о 159
 
9.6%
а 130
 
7.9%
н 113
 
6.8%
е 110
 
6.7%
р 107
 
6.5%
т 100
 
6.1%
с 84
 
5.1%
п 57
 
3.5%
к 54
 
3.3%
Other values (35) 537
32.5%
ASCII
ValueCountFrequency (%)
187
72.8%
- 13
 
5.1%
) 9
 
3.5%
( 9
 
3.5%
, 8
 
3.1%
M 6
 
2.3%
C 3
 
1.2%
I 3
 
1.2%
S 2
 
0.8%
K 2
 
0.8%
Other values (12) 15
 
5.8%
None
ValueCountFrequency (%)
» 1
50.0%
« 1
50.0%

사이트 주소
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-13T03:00:52.452258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length28
Mean length20.138889
Min length12

Characters and Unicode

Total characters725
Distinct characters28
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st rowmohw.go.kr/eng/index.jsp
2nd rowmcst.go.kr/english/index.jsp
3rd rowwww.khidi.or.kr/eps
4th rowvisitkorea.or.kr/medicalkorea
5th rowncov.kdca.go.kr/en/
ValueCountFrequency (%)
mohw.go.kr/eng/index.jsp 1
 
2.8%
mcst.go.kr/english/index.jsp 1
 
2.8%
www.chungnam.go.kr 1
 
2.8%
www.daejeon.go.kr 1
 
2.8%
daejeontourism.com/eng/index.do 1
 
2.8%
www.ulsan.go.kr 1
 
2.8%
www.gg.go.kr 1
 
2.8%
www.ggtour.or.kr 1
 
2.8%
www.chungbuk.go.kr 1
 
2.8%
www.gb.go.kr 1
 
2.8%
Other values (26) 26
72.2%
2023-12-13T03:00:52.817451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 103
14.2%
w 85
11.7%
o 67
 
9.2%
r 55
 
7.6%
g 47
 
6.5%
k 44
 
6.1%
e 42
 
5.8%
n 38
 
5.2%
i 35
 
4.8%
a 30
 
4.1%
Other values (18) 179
24.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 601
82.9%
Other Punctuation 121
 
16.7%
Uppercase Letter 1
 
0.1%
Connector Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 85
14.1%
o 67
11.1%
r 55
9.2%
g 47
 
7.8%
k 44
 
7.3%
e 42
 
7.0%
n 38
 
6.3%
i 35
 
5.8%
a 30
 
5.0%
d 23
 
3.8%
Other values (13) 135
22.5%
Other Punctuation
ValueCountFrequency (%)
. 103
85.1%
/ 18
 
14.9%
Uppercase Letter
ValueCountFrequency (%)
M 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 602
83.0%
Common 123
 
17.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 85
14.1%
o 67
11.1%
r 55
9.1%
g 47
 
7.8%
k 44
 
7.3%
e 42
 
7.0%
n 38
 
6.3%
i 35
 
5.8%
a 30
 
5.0%
d 23
 
3.8%
Other values (14) 136
22.6%
Common
ValueCountFrequency (%)
. 103
83.7%
/ 18
 
14.6%
_ 1
 
0.8%
- 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 725
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 103
14.2%
w 85
11.7%
o 67
 
9.2%
r 55
 
7.6%
g 47
 
6.5%
k 44
 
6.1%
e 42
 
5.8%
n 38
 
5.2%
i 35
 
4.8%
a 30
 
4.1%
Other values (18) 179
24.7%

Interactions

2023-12-13T03:00:48.461998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:00:52.928241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번사이트명(영어)사이트명(일어)사이트명(중국어)사이트명(러시아어)사이트 주소
순번1.0001.0001.0001.0001.0001.000
사이트명(영어)1.0001.0001.0001.0001.0001.000
사이트명(일어)1.0001.0001.0001.0001.0001.000
사이트명(중국어)1.0001.0001.0001.0001.0001.000
사이트명(러시아어)1.0001.0001.0001.0001.0001.000
사이트 주소1.0001.0001.0001.0001.0001.000

Missing values

2023-12-13T03:00:49.026384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:00:49.121706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

순번사이트명(영어)사이트명(일어)사이트명(중국어)사이트명(러시아어)사이트 주소
01Ministry of Health and Welfare (MOHW)保健福祉部(MOHW)保健福祉部（MOHW）Министерство здравоохранения и социального обеспечения (MOHW)mohw.go.kr/eng/index.jsp
12Ministry of Culture, Sports and Tourism(MCST)文化体育観光部(MCST)文化体育观光部（MCST）Министерство культуры, спорта и туризма (MCST)mcst.go.kr/english/index.jsp
23Korea Health Industry Development Institute(KHIDI)韓国保健産業振興院(KHIDI)韩国保健产业振兴院（KHIDI）Министерство культуры, спорта и туризма (MCST)www.khidi.or.kr/eps
34Korea Tourism Organization韓国観光公社韩国旅游发展局Корейская туристическая организацияvisitkorea.or.kr/medicalkorea
45Korea Disease Control and Prevention Agency韓国疾病予防管理庁疾病管理厅Корейское агентство по контролю и профилактике заболеванийncov.kdca.go.kr/en/
56Korea International Medical Association (KIMA)韓国国際医療協会(KIMA)韩国国际医疗协会（KIMA）Корейская международная медицинская ассоциация (KIMA)www.koreahealthtour.co.kr
67Korea Medical Tourism Association韓国医療観光協会韩国医疗观光协会Корейская ассоциация медицинского туризмаwww.koreamedicaltour.org
78Ministry of Justice Korea Immigration Service法務部 出入国・外国人政策本部出入境外国人政策本部Иммиграционная служба Министерства юстиции Кореиwww.immigration.go.kr/immigration_eng/index.do
89Korea Visa Portal韓国ビザポータル大韩民国签证门户网站Визовый портал Кореиwww.visa.go.kr/main/openMain.do
910Seoul Metropolitan Govern-ment Tourism Business Divisionソウル特別市観光事業課首尔特别市政府观光商业部Департамент туристического бизнеса столичного муниципалитета Сеулаwww.seoul.go.kr
순번사이트명(영어)사이트명(일어)사이트명(중국어)사이트명(러시아어)사이트 주소
2627The Province of Chungcheongnam-do Welfare Policy Division忠清南道福祉政策課忠清南道福利政策部Департамент политики социального обеспечения провинции Чхунчхон-Намдоwww.chungnam.go.kr
2728The Province of Gyeongsangbuk-do Welfare Policy慶尚北道福祉政策課庆尚北道福利政策Департамент политики социального обеспечения провинции Кёнсан-Пуктоwww.gb.go.kr
2829Gyeongsangnam-do Tourism Promotion Department慶尚南道観光振興課庆尚南道观光发展部Департамент продвижения туризма Кёнсан-Намдоwww.gyeongnam.go.kr
2930Jeollabuk-do Department of health care全羅北道保健管理課全罗北道医疗保健部Департамент здравоохранения Чолла-Пуктоwww.jeonbuk.go.kr
3031JelloaNamdo Tourism Division全羅南道観光課全罗南道观光部Департамент туризма Чолла-Намдоwww.jeonnam.go.kr
3132Korea Medical dispute Mediation and Arbitration Agency韓国医療紛争調停仲裁院韩国医疗纠纷调解仲裁院Корейское агентство по посредничеству и арбитражу при урегулировании медицинских споровwww.k-medi.or.kr/index.do
3233illicit solicitation of international patients report center外国人不法誘致行為申告センター外国人患者非法招揽举报中心Центр приема сообщений о незаконном сборе данных международных пациентовwww.kmediwatch.kr
3334KNPA(Korea Tourist Police)KNPA(大韓民国観光警察)KNPA（韩国旅游警察）Туристическая полиция Кореи (KNPA)police.go.kr/eng/main.do
3435KTO (English, Japanese, Chinese)KTO（英語、日本語、中国語）KTO（英语、日语、中文）КТО (английский, японский, китайский)visitkorea.or.kr
3536Bbb Korea (19 languages including English, Japanese, Chinese, Arabic, etc.)Bbb Korea（英語、日本語、中国語、アラビア語など19ヵ国語）Bbb Korea（包括英语、日语、中文、阿拉伯语等19种语言）«Би-Би-Би Корея» (19 языков, включая английский, японский, китайский, арабский и др.)www.bbbkorea.org/en