Overview

Dataset statistics

Number of variables3
Number of observations1291
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory30.4 KiB
Average record size in memory24.1 B

Variable types

Text3

Dataset

Description강원도 원주시청홈페이지에 등록된 행정포털메뉴( ex - 민원콜센터, 나의 민원보기 , 업무계획 등 ) 와 접속가능한 url을 제공합니다.
Author강원도 원주시
URLhttps://www.data.go.kr/data/15090959/fileData.do

Reproduction

Analysis started2023-12-12 07:52:29.056560
Analysis finished2023-12-12 07:52:29.668524
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct845
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
2023-12-12T16:52:29.888465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length7.2463207
Min length2

Characters and Unicode

Total characters9355
Distinct characters437
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique797 ?
Unique (%)61.7%

Sample

1st row민원실안내
2nd row단구?반곡관설 행정복지센터
3rd row구술·전화 민원
4th row사전심사청구제
5th row문서24 안내
ValueCountFrequency (%)
현황 85
 
4.3%
추경예산서 40
 
2.0%
29
 
1.5%
문화재 25
 
1.3%
지명유래 24
 
1.2%
포토갤러리 24
 
1.2%
주요/특수시책 23
 
1.2%
담당업무별전화 23
 
1.2%
오시는길 23
 
1.2%
인구경제상태 23
 
1.2%
Other values (997) 1652
83.8%
2023-12-12T16:52:30.301550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
681
 
7.3%
185
 
2.0%
2 178
 
1.9%
175
 
1.9%
173
 
1.8%
0 163
 
1.7%
153
 
1.6%
153
 
1.6%
151
 
1.6%
142
 
1.5%
Other values (427) 7201
77.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7921
84.7%
Space Separator 681
 
7.3%
Decimal Number 585
 
6.3%
Other Punctuation 87
 
0.9%
Close Punctuation 27
 
0.3%
Open Punctuation 27
 
0.3%
Uppercase Letter 22
 
0.2%
Lowercase Letter 2
 
< 0.1%
Letter Number 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
185
 
2.3%
175
 
2.2%
173
 
2.2%
153
 
1.9%
153
 
1.9%
151
 
1.9%
142
 
1.8%
137
 
1.7%
135
 
1.7%
131
 
1.7%
Other values (387) 6386
80.6%
Uppercase Letter
ValueCountFrequency (%)
G 3
13.6%
W 2
 
9.1%
A 2
 
9.1%
T 2
 
9.1%
X 2
 
9.1%
P 2
 
9.1%
L 1
 
4.5%
D 1
 
4.5%
N 1
 
4.5%
C 1
 
4.5%
Other values (5) 5
22.7%
Decimal Number
ValueCountFrequency (%)
2 178
30.4%
0 163
27.9%
1 132
22.6%
3 23
 
3.9%
9 20
 
3.4%
8 18
 
3.1%
4 14
 
2.4%
7 14
 
2.4%
6 12
 
2.1%
5 11
 
1.9%
Other Punctuation
ValueCountFrequency (%)
/ 46
52.9%
. 20
23.0%
· 9
 
10.3%
? 7
 
8.0%
, 4
 
4.6%
# 1
 
1.1%
Close Punctuation
ValueCountFrequency (%)
) 24
88.9%
3
 
11.1%
Open Punctuation
ValueCountFrequency (%)
( 24
88.9%
3
 
11.1%
Letter Number
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
681
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7921
84.7%
Common 1408
 
15.1%
Latin 26
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
185
 
2.3%
175
 
2.2%
173
 
2.2%
153
 
1.9%
153
 
1.9%
151
 
1.9%
142
 
1.8%
137
 
1.7%
135
 
1.7%
131
 
1.7%
Other values (387) 6386
80.6%
Common
ValueCountFrequency (%)
681
48.4%
2 178
 
12.6%
0 163
 
11.6%
1 132
 
9.4%
/ 46
 
3.3%
) 24
 
1.7%
( 24
 
1.7%
3 23
 
1.6%
9 20
 
1.4%
. 20
 
1.4%
Other values (12) 97
 
6.9%
Latin
ValueCountFrequency (%)
G 3
 
11.5%
e 2
 
7.7%
W 2
 
7.7%
A 2
 
7.7%
T 2
 
7.7%
X 2
 
7.7%
P 2
 
7.7%
1
 
3.8%
1
 
3.8%
L 1
 
3.8%
Other values (8) 8
30.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7910
84.6%
ASCII 1417
 
15.1%
None 15
 
0.2%
Compat Jamo 11
 
0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
681
48.1%
2 178
 
12.6%
0 163
 
11.5%
1 132
 
9.3%
/ 46
 
3.2%
) 24
 
1.7%
( 24
 
1.7%
3 23
 
1.6%
9 20
 
1.4%
. 20
 
1.4%
Other values (25) 106
 
7.5%
Hangul
ValueCountFrequency (%)
185
 
2.3%
175
 
2.2%
173
 
2.2%
153
 
1.9%
153
 
1.9%
151
 
1.9%
142
 
1.8%
137
 
1.7%
135
 
1.7%
131
 
1.7%
Other values (386) 6375
80.6%
Compat Jamo
ValueCountFrequency (%)
11
100.0%
None
ValueCountFrequency (%)
· 9
60.0%
3
 
20.0%
3
 
20.0%
Number Forms
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct1290
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
2023-12-12T16:52:30.527057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length56
Mean length40.325329
Min length12

Characters and Unicode

Total characters52060
Distinct characters447
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1289 ?
Unique (%)99.8%

Sample

1st row원주시청 > 민원안내 > 민원안내 > 민원실안내
2nd row원주시청 > 민원안내 > 민원안내 > 단구?반곡관설 행정복지센터
3rd row원주시청 > 민원안내 > 민원안내 > 구술·전화 민원
4th row원주시청 > 민원안내 > 민원안내 > 사전심사청구제
5th row원주시청 > 민원안내 > 민원안내 > 문서24 안내
ValueCountFrequency (%)
5457
41.1%
원주시청 1291
 
9.7%
분야별정보 503
 
3.8%
원주소개 461
 
3.5%
읍면동안내 415
 
3.1%
정보공개/개방 208
 
1.6%
도시/건축 121
 
0.9%
소개 117
 
0.9%
예산서 111
 
0.8%
현황 110
 
0.8%
Other values (1145) 4498
33.8%
2023-12-12T16:52:31.009777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12002
23.1%
> 5457
 
10.5%
2137
 
4.1%
2064
 
4.0%
1921
 
3.7%
1389
 
2.7%
1381
 
2.7%
1187
 
2.3%
1071
 
2.1%
844
 
1.6%
Other values (437) 22607
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32650
62.7%
Space Separator 12002
 
23.1%
Math Symbol 5458
 
10.5%
Other Punctuation 903
 
1.7%
Decimal Number 890
 
1.7%
Close Punctuation 53
 
0.1%
Open Punctuation 53
 
0.1%
Dash Punctuation 25
 
< 0.1%
Uppercase Letter 22
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2137
 
6.5%
2064
 
6.3%
1921
 
5.9%
1389
 
4.3%
1381
 
4.2%
1187
 
3.6%
1071
 
3.3%
844
 
2.6%
743
 
2.3%
631
 
1.9%
Other values (395) 19282
59.1%
Uppercase Letter
ValueCountFrequency (%)
G 3
13.6%
W 2
 
9.1%
A 2
 
9.1%
T 2
 
9.1%
X 2
 
9.1%
P 2
 
9.1%
D 1
 
4.5%
R 1
 
4.5%
L 1
 
4.5%
C 1
 
4.5%
Other values (5) 5
22.7%
Decimal Number
ValueCountFrequency (%)
2 285
32.0%
0 237
26.6%
1 219
24.6%
9 29
 
3.3%
3 27
 
3.0%
8 26
 
2.9%
7 18
 
2.0%
4 18
 
2.0%
6 16
 
1.8%
5 15
 
1.7%
Other Punctuation
ValueCountFrequency (%)
/ 834
92.4%
· 37
 
4.1%
. 20
 
2.2%
? 7
 
0.8%
, 4
 
0.4%
# 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
> 5457
> 99.9%
~ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 50
94.3%
3
 
5.7%
Open Punctuation
ValueCountFrequency (%)
( 50
94.3%
3
 
5.7%
Letter Number
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
12002
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32650
62.7%
Common 19384
37.2%
Latin 26
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2137
 
6.5%
2064
 
6.3%
1921
 
5.9%
1389
 
4.3%
1381
 
4.2%
1187
 
3.6%
1071
 
3.3%
844
 
2.6%
743
 
2.3%
631
 
1.9%
Other values (395) 19282
59.1%
Common
ValueCountFrequency (%)
12002
61.9%
> 5457
28.2%
/ 834
 
4.3%
2 285
 
1.5%
0 237
 
1.2%
1 219
 
1.1%
) 50
 
0.3%
( 50
 
0.3%
· 37
 
0.2%
9 29
 
0.1%
Other values (14) 184
 
0.9%
Latin
ValueCountFrequency (%)
G 3
 
11.5%
W 2
 
7.7%
A 2
 
7.7%
e 2
 
7.7%
T 2
 
7.7%
X 2
 
7.7%
P 2
 
7.7%
D 1
 
3.8%
R 1
 
3.8%
L 1
 
3.8%
Other values (8) 8
30.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32637
62.7%
ASCII 19365
37.2%
None 43
 
0.1%
Compat Jamo 13
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12002
62.0%
> 5457
28.2%
/ 834
 
4.3%
2 285
 
1.5%
0 237
 
1.2%
1 219
 
1.1%
) 50
 
0.3%
( 50
 
0.3%
9 29
 
0.1%
3 27
 
0.1%
Other values (27) 175
 
0.9%
Hangul
ValueCountFrequency (%)
2137
 
6.5%
2064
 
6.3%
1921
 
5.9%
1389
 
4.3%
1381
 
4.2%
1187
 
3.6%
1071
 
3.3%
844
 
2.6%
743
 
2.3%
631
 
1.9%
Other values (394) 19269
59.0%
None
ValueCountFrequency (%)
· 37
86.0%
3
 
7.0%
3
 
7.0%
Compat Jamo
ValueCountFrequency (%)
13
100.0%
Number Forms
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct1261
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
2023-12-12T16:52:31.303807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length200
Median length197
Mean length47.872192
Min length20

Characters and Unicode

Total characters61803
Distinct characters99
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1252 ?
Unique (%)97.0%

Sample

1st rowwww.wonju.go.krwww.wonju.go.kr/www/contents.do?key=101
2nd rowwww.wonju.go.krwww.wonju.go.kr/www/contents.do?key=3729
3rd rowwww.wonju.go.krwww.wonju.go.kr/www/contents.do?key=104
4th rowwww.wonju.go.krwww.wonju.go.kr/www/contents.do?key=112
5th rowwww.wonju.go.krwww.wonju.go.kr/www/contents.do?key=3701
ValueCountFrequency (%)
www.wonju.go.kr/www/contents.do?key=3306 23
 
1.8%
www.wonju.go.kr/www/contents.do?key=259 2
 
0.2%
www.wonju.go.kr/www/selectbbsnttlist.do?bbsno=428&key=2549 2
 
0.2%
www.wonju.go.kr/www/selectbbsnttlist.do?bbsno=146&key=223 2
 
0.2%
www.wonju.go.kr/www/contents.do?key=322 2
 
0.2%
http://yeyak.wonju.go.kr/index.php 2
 
0.2%
www.wonju.go.krwww.wonju.go.kr/www/contents.do?key=109 2
 
0.2%
http://www.wetax.go.kr 2
 
0.2%
www.wonju.go.kr/www/contents.do?key=355 2
 
0.2%
www.wonju.go.kr/www/contents.do?key=4770 1
 
0.1%
Other values (1251) 1251
96.9%
2023-12-12T16:52:31.746275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 8984
 
14.5%
. 5306
 
8.6%
o 5254
 
8.5%
t 3458
 
5.6%
e 3377
 
5.5%
n 3112
 
5.0%
/ 2709
 
4.4%
k 2592
 
4.2%
s 2585
 
4.2%
= 1720
 
2.8%
Other values (89) 22706
36.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 42212
68.3%
Other Punctuation 9827
 
15.9%
Decimal Number 6053
 
9.8%
Uppercase Letter 1929
 
3.1%
Math Symbol 1720
 
2.8%
Other Letter 46
 
0.1%
Connector Punctuation 9
 
< 0.1%
Dash Punctuation 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
11
23.9%
3
 
6.5%
2
 
4.3%
2
 
4.3%
2
 
4.3%
2
 
4.3%
2
 
4.3%
2
 
4.3%
1
 
2.2%
1
 
2.2%
Other values (18) 18
39.1%
Lowercase Letter
ValueCountFrequency (%)
w 8984
21.3%
o 5254
12.4%
t 3458
 
8.2%
e 3377
 
8.0%
n 3112
 
7.4%
k 2592
 
6.1%
s 2585
 
6.1%
r 1566
 
3.7%
c 1432
 
3.4%
g 1415
 
3.4%
Other values (16) 8437
20.0%
Uppercase Letter
ValueCountFrequency (%)
N 704
36.5%
L 436
22.6%
B 354
18.4%
C 80
 
4.1%
S 48
 
2.5%
R 41
 
2.1%
P 41
 
2.1%
A 37
 
1.9%
E 32
 
1.7%
D 32
 
1.7%
Other values (15) 124
 
6.4%
Decimal Number
ValueCountFrequency (%)
3 1017
16.8%
4 922
15.2%
2 747
12.3%
1 559
9.2%
5 536
8.9%
9 487
8.0%
0 477
7.9%
6 454
7.5%
8 450
7.4%
7 404
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 5306
54.0%
/ 2709
27.6%
? 1239
 
12.6%
& 484
 
4.9%
: 64
 
0.7%
@ 24
 
0.2%
; 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
= 1720
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 44141
71.4%
Common 17616
 
28.5%
Hangul 46
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 8984
20.4%
o 5254
11.9%
t 3458
 
7.8%
e 3377
 
7.7%
n 3112
 
7.1%
k 2592
 
5.9%
s 2585
 
5.9%
r 1566
 
3.5%
c 1432
 
3.2%
g 1415
 
3.2%
Other values (41) 10366
23.5%
Hangul
ValueCountFrequency (%)
11
23.9%
3
 
6.5%
2
 
4.3%
2
 
4.3%
2
 
4.3%
2
 
4.3%
2
 
4.3%
2
 
4.3%
1
 
2.2%
1
 
2.2%
Other values (18) 18
39.1%
Common
ValueCountFrequency (%)
. 5306
30.1%
/ 2709
15.4%
= 1720
 
9.8%
? 1239
 
7.0%
3 1017
 
5.8%
4 922
 
5.2%
2 747
 
4.2%
1 559
 
3.2%
5 536
 
3.0%
9 487
 
2.8%
Other values (10) 2374
13.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 61757
99.9%
Hangul 46
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 8984
 
14.5%
. 5306
 
8.6%
o 5254
 
8.5%
t 3458
 
5.6%
e 3377
 
5.5%
n 3112
 
5.0%
/ 2709
 
4.4%
k 2592
 
4.2%
s 2585
 
4.2%
= 1720
 
2.8%
Other values (61) 22660
36.7%
Hangul
ValueCountFrequency (%)
11
23.9%
3
 
6.5%
2
 
4.3%
2
 
4.3%
2
 
4.3%
2
 
4.3%
2
 
4.3%
2
 
4.3%
1
 
2.2%
1
 
2.2%
Other values (18) 18
39.1%

Missing values

2023-12-12T16:52:29.564327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:52:29.631684image/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

메뉴이름메뉴경로메뉴URL
0민원실안내원주시청 > 민원안내 > 민원안내 > 민원실안내www.wonju.go.krwww.wonju.go.kr/www/contents.do?key=101
1단구?반곡관설 행정복지센터원주시청 > 민원안내 > 민원안내 > 단구?반곡관설 행정복지센터www.wonju.go.krwww.wonju.go.kr/www/contents.do?key=3729
2구술·전화 민원원주시청 > 민원안내 > 민원안내 > 구술·전화 민원www.wonju.go.krwww.wonju.go.kr/www/contents.do?key=104
3사전심사청구제원주시청 > 민원안내 > 민원안내 > 사전심사청구제www.wonju.go.krwww.wonju.go.kr/www/contents.do?key=112
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