Overview

Dataset statistics

Number of variables10
Number of observations33
Missing cells17
Missing cells (%)5.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory84.0 B

Variable types

Text8
Categorical1
DateTime1

Dataset

Description국도상에 위치한 특수교량의 계측데이터를 관리하는 업무로 특수교통합계측관리시스템에서 관할하는 특수교량의 개요를 제공함
Author국토교통부
URLhttps://www.data.go.kr/data/15123650/fileData.do

Alerts

공사기간_시작 has 1 (3.0%) missing valuesMissing
내용 has 16 (48.5%) missing valuesMissing
특수교량 코드 has unique valuesUnique
특수교량명 has unique valuesUnique
위치 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:55:32.172994
Analysis finished2023-12-12 13:55:33.015703
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

특수교량 코드
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T22:55:33.153706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters99
Distinct characters19
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st rowGGB
2nd rowGBB
3rd rowDDB
4th rowNH1
5th rowNRB
ValueCountFrequency (%)
ggb 1
 
3.0%
ahb 1
 
3.0%
hyb 1
 
3.0%
pyb 1
 
3.0%
csb 1
 
3.0%
cnb 1
 
3.0%
cwb 1
 
3.0%
jd1 1
 
3.0%
jd2 1
 
3.0%
jjb 1
 
3.0%
Other values (23) 23
69.7%
2023-12-12T22:55:33.465925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
B 29
29.3%
D 13
13.1%
G 7
 
7.1%
S 7
 
7.1%
J 7
 
7.1%
H 4
 
4.0%
P 4
 
4.0%
Y 4
 
4.0%
C 4
 
4.0%
A 4
 
4.0%
Other values (9) 16
16.2%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 96
97.0%
Decimal Number 3
 
3.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
B 29
30.2%
D 13
13.5%
G 7
 
7.3%
S 7
 
7.3%
J 7
 
7.3%
H 4
 
4.2%
P 4
 
4.2%
Y 4
 
4.2%
C 4
 
4.2%
A 4
 
4.2%
Other values (7) 13
13.5%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
2 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 96
97.0%
Common 3
 
3.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
B 29
30.2%
D 13
13.5%
G 7
 
7.3%
S 7
 
7.3%
J 7
 
7.3%
H 4
 
4.2%
P 4
 
4.2%
Y 4
 
4.2%
C 4
 
4.2%
A 4
 
4.2%
Other values (7) 13
13.5%
Common
ValueCountFrequency (%)
1 2
66.7%
2 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 99
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
B 29
29.3%
D 13
13.1%
G 7
 
7.1%
S 7
 
7.1%
J 7
 
7.1%
H 4
 
4.0%
P 4
 
4.0%
Y 4
 
4.0%
C 4
 
4.0%
A 4
 
4.0%
Other values (9) 16
16.2%

특수교량명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T22:55:33.665704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.3939394
Min length3

Characters and Unicode

Total characters145
Distinct characters55
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row거금대교
2nd row거북선대교
3rd row고군산대교
4th row남해대교
5th row노량대교
ValueCountFrequency (%)
거금대교 1
 
3.0%
압해대교 1
 
3.0%
화양조발대교 1
 
3.0%
팔영대교 1
 
3.0%
칠산대교 1
 
3.0%
천사대교2 1
 
3.0%
천사대교1 1
 
3.0%
진도대교 1
 
3.0%
제2진도대교 1
 
3.0%
전주천교 1
 
3.0%
Other values (23) 23
69.7%
2023-12-12T22:55:34.008121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 33
22.8%
대 31
21.4%
도 4
 
2.8%
천 4
 
2.8%
거 3
 
2.1%
동 3
 
2.1%
2 3
 
2.1%
산 3
 
2.1%
자 3
 
2.1%
포 2
 
1.4%
Other values (45) 56
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 140
96.6%
Decimal Number 5
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 33
23.6%
대 31
22.1%
도 4
 
2.9%
천 4
 
2.9%
거 3
 
2.1%
동 3
 
2.1%
산 3
 
2.1%
자 3
 
2.1%
포 2
 
1.4%
장 2
 
1.4%
Other values (43) 52
37.1%
Decimal Number
ValueCountFrequency (%)
2 3
60.0%
1 2
40.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 140
96.6%
Common 5
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 33
23.6%
대 31
22.1%
도 4
 
2.9%
천 4
 
2.9%
거 3
 
2.1%
동 3
 
2.1%
산 3
 
2.1%
자 3
 
2.1%
포 2
 
1.4%
장 2
 
1.4%
Other values (43) 52
37.1%
Common
ValueCountFrequency (%)
2 3
60.0%
1 2
40.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 140
96.6%
ASCII 5
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 33
23.6%
대 31
22.1%
도 4
 
2.9%
천 4
 
2.9%
거 3
 
2.1%
동 3
 
2.1%
산 3
 
2.1%
자 3
 
2.1%
포 2
 
1.4%
장 2
 
1.4%
Other values (43) 52
37.1%
ASCII
ValueCountFrequency (%)
2 3
60.0%
1 2
40.0%

위치
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T22:55:34.359787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length26
Mean length23.727273
Min length14

Characters and Unicode

Total characters783
Distinct characters121
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row전라남도 고흥군 금산면 소록리 ~ 금산면 대흥리
2nd row전라남도 여수시 종화동 ~ 돌산읍 우두리
3rd row전라북도 군산시 옥도면 신시도리 ~ 무녀도리
4th row경남 하동군 금남면 - 남해군 설천면
5th row경남 하동군 금남면 노량리 ~ 남해군 설천면 노량리
ValueCountFrequency (%)
21
 
10.0%
전남 15
 
7.1%
전라남도 11
 
5.2%
여수시 8
 
3.8%
신안군 6
 
2.9%
산 4
 
1.9%
고흥군 4
 
1.9%
경남 3
 
1.4%
돌산읍 3
 
1.4%
암태면 2
 
1.0%
Other values (105) 133
63.3%
2023-12-12T22:55:34.832387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
180
23.0%
리 44
 
5.6%
남 42
 
5.4%
면 35
 
4.5%
군 32
 
4.1%
전 31
 
4.0%
도 29
 
3.7%
~ 21
 
2.7%
시 20
 
2.6%
동 15
 
1.9%
Other values (111) 334
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 550
70.2%
Space Separator 180
 
23.0%
Math Symbol 22
 
2.8%
Decimal Number 17
 
2.2%
Dash Punctuation 10
 
1.3%
Close Punctuation 2
 
0.3%
Open Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 44
 
8.0%
남 42
 
7.6%
면 35
 
6.4%
군 32
 
5.8%
전 31
 
5.6%
도 29
 
5.3%
시 20
 
3.6%
동 15
 
2.7%
산 14
 
2.5%
라 13
 
2.4%
Other values (96) 275
50.0%
Decimal Number
ValueCountFrequency (%)
0 3
17.6%
6 2
11.8%
3 2
11.8%
1 2
11.8%
5 2
11.8%
8 2
11.8%
2 2
11.8%
7 1
 
5.9%
4 1
 
5.9%
Math Symbol
ValueCountFrequency (%)
~ 21
95.5%
∼ 1
 
4.5%
Space Separator
ValueCountFrequency (%)
180
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 550
70.2%
Common 233
29.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 44
 
8.0%
남 42
 
7.6%
면 35
 
6.4%
군 32
 
5.8%
전 31
 
5.6%
도 29
 
5.3%
시 20
 
3.6%
동 15
 
2.7%
산 14
 
2.5%
라 13
 
2.4%
Other values (96) 275
50.0%
Common
ValueCountFrequency (%)
180
77.3%
~ 21
 
9.0%
- 10
 
4.3%
0 3
 
1.3%
) 2
 
0.9%
( 2
 
0.9%
6 2
 
0.9%
3 2
 
0.9%
1 2
 
0.9%
5 2
 
0.9%
Other values (5) 7
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 550
70.2%
ASCII 232
29.6%
Math Operators 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
180
77.6%
~ 21
 
9.1%
- 10
 
4.3%
0 3
 
1.3%
) 2
 
0.9%
( 2
 
0.9%
6 2
 
0.9%
3 2
 
0.9%
1 2
 
0.9%
5 2
 
0.9%
Other values (4) 6
 
2.6%
Hangul
ValueCountFrequency (%)
리 44
 
8.0%
남 42
 
7.6%
면 35
 
6.4%
군 32
 
5.8%
전 31
 
5.6%
도 29
 
5.3%
시 20
 
3.6%
동 15
 
2.7%
산 14
 
2.5%
라 13
 
2.4%
Other values (96) 275
50.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

형식
Text

Distinct26
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T22:55:35.083599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23
Mean length11.909091
Min length3

Characters and Unicode

Total characters393
Distinct characters71
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

Unique22 ?
Unique (%)66.7%

Sample

1st row번들형 5경간 연속 사장교
2nd row5경간 연속 콘크리트 사장교
3rd row1주탑 타정식 현수교
4th row3경간 2힌지 타정식 현수교
5th row강바닥판 박스거더(현수교), 강박스거더(접속교)
ValueCountFrequency (%)
사장교 23
22.8%
연속 7
 
6.9%
3경간 6
 
5.9%
강합성 6
 
5.9%
2주탑 4
 
4.0%
1주탑 4
 
4.0%
타정식 4
 
4.0%
현수교 4
 
4.0%
콘크리트 3
 
3.0%
1면 2
 
2.0%
Other values (32) 38
37.6%
2023-12-12T22:55:35.435709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
68
 
17.3%
교 36
 
9.2%
장 26
 
6.6%
사 25
 
6.4%
강 14
 
3.6%
주 11
 
2.8%
간 10
 
2.5%
탑 10
 
2.5%
경 10
 
2.5%
속 9
 
2.3%
Other values (61) 174
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 271
69.0%
Space Separator 68
 
17.3%
Decimal Number 24
 
6.1%
Lowercase Letter 13
 
3.3%
Uppercase Letter 7
 
1.8%
Other Punctuation 4
 
1.0%
Close Punctuation 3
 
0.8%
Open Punctuation 3
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 36
 
13.3%
장 26
 
9.6%
사 25
 
9.2%
강 14
 
5.2%
주 11
 
4.1%
간 10
 
3.7%
탑 10
 
3.7%
경 10
 
3.7%
속 9
 
3.3%
형 8
 
3.0%
Other values (38) 112
41.3%
Lowercase Letter
ValueCountFrequency (%)
g 4
30.8%
e 2
15.4%
d 2
15.4%
n 1
 
7.7%
w 1
 
7.7%
o 1
 
7.7%
i 1
 
7.7%
r 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
1 7
29.2%
3 7
29.2%
2 7
29.2%
5 2
 
8.3%
4 1
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
S 2
28.6%
E 2
28.6%
B 1
14.3%
C 1
14.3%
P 1
14.3%
Other Punctuation
ValueCountFrequency (%)
: 2
50.0%
, 2
50.0%
Space Separator
ValueCountFrequency (%)
68
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 271
69.0%
Common 102
 
26.0%
Latin 20
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 36
 
13.3%
장 26
 
9.6%
사 25
 
9.2%
강 14
 
5.2%
주 11
 
4.1%
간 10
 
3.7%
탑 10
 
3.7%
경 10
 
3.7%
속 9
 
3.3%
형 8
 
3.0%
Other values (38) 112
41.3%
Latin
ValueCountFrequency (%)
g 4
20.0%
S 2
10.0%
e 2
10.0%
E 2
10.0%
d 2
10.0%
n 1
 
5.0%
w 1
 
5.0%
o 1
 
5.0%
B 1
 
5.0%
i 1
 
5.0%
Other values (3) 3
15.0%
Common
ValueCountFrequency (%)
68
66.7%
1 7
 
6.9%
3 7
 
6.9%
2 7
 
6.9%
) 3
 
2.9%
( 3
 
2.9%
: 2
 
2.0%
, 2
 
2.0%
5 2
 
2.0%
4 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 271
69.0%
ASCII 122
31.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
68
55.7%
1 7
 
5.7%
3 7
 
5.7%
2 7
 
5.7%
g 4
 
3.3%
) 3
 
2.5%
( 3
 
2.5%
S 2
 
1.6%
: 2
 
1.6%
e 2
 
1.6%
Other values (13) 17
 
13.9%
Hangul
ValueCountFrequency (%)
교 36
 
13.3%
장 26
 
9.6%
사 25
 
9.2%
강 14
 
5.2%
주 11
 
4.1%
간 10
 
3.7%
탑 10
 
3.7%
경 10
 
3.7%
속 9
 
3.3%
형 8
 
3.0%
Other values (38) 112
41.3%

연장
Text

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T22:55:35.643684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length35
Mean length25.757576
Min length4

Characters and Unicode

Total characters850
Distinct characters31
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)93.9%

Sample

1st rowL = 120+198+480+198+120=1116m
2nd rowL = 280+82+230+82+35 = 744m
3rd row400m
4th row660.0m(128.0m+404.0m+128.0m)
5th rowL=990m(50m+890m+50m)
ValueCountFrequency (%)
30
28.6%
l 7
 
6.7%
484m(70m+344m+70m 2
 
1.9%
85 2
 
1.9%
57.5 2
 
1.9%
l=3,584m 1
 
1.0%
50+80+140+80+50+2@47.5 1
 
1.0%
495.0m 1
 
1.0%
295m(72.5+150+72..5 1
 
1.0%
접속2교=345m 1
 
1.0%
Other values (57) 57
54.3%
2023-12-12T22:55:35.978437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 110
12.9%
m 77
 
9.1%
+ 75
 
8.8%
72
 
8.5%
5 63
 
7.4%
1 58
 
6.8%
4 41
 
4.8%
2 35
 
4.1%
= 31
 
3.6%
3 30
 
3.5%
Other values (21) 258
30.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 430
50.6%
Math Symbol 106
 
12.5%
Lowercase Letter 77
 
9.1%
Space Separator 72
 
8.5%
Other Punctuation 50
 
5.9%
Other Letter 40
 
4.7%
Open Punctuation 29
 
3.4%
Close Punctuation 29
 
3.4%
Uppercase Letter 17
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 110
25.6%
5 63
14.7%
1 58
13.5%
4 41
 
9.5%
2 35
 
8.1%
3 30
 
7.0%
8 29
 
6.7%
7 25
 
5.8%
9 20
 
4.7%
6 19
 
4.4%
Other Letter
ValueCountFrequency (%)
교 12
30.0%
접 7
17.5%
속 7
17.5%
사 4
 
10.0%
장 4
 
10.0%
경 2
 
5.0%
간 2
 
5.0%
단 1
 
2.5%
주 1
 
2.5%
Other Punctuation
ValueCountFrequency (%)
. 20
40.0%
, 17
34.0%
@ 11
22.0%
* 2
 
4.0%
Math Symbol
ValueCountFrequency (%)
+ 75
70.8%
= 31
29.2%
Uppercase Letter
ValueCountFrequency (%)
L 15
88.2%
B 2
 
11.8%
Lowercase Letter
ValueCountFrequency (%)
m 77
100.0%
Space Separator
ValueCountFrequency (%)
72
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 716
84.2%
Latin 94
 
11.1%
Hangul 40
 
4.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 110
15.4%
+ 75
10.5%
72
10.1%
5 63
 
8.8%
1 58
 
8.1%
4 41
 
5.7%
2 35
 
4.9%
= 31
 
4.3%
3 30
 
4.2%
( 29
 
4.1%
Other values (9) 172
24.0%
Hangul
ValueCountFrequency (%)
교 12
30.0%
접 7
17.5%
속 7
17.5%
사 4
 
10.0%
장 4
 
10.0%
경 2
 
5.0%
간 2
 
5.0%
단 1
 
2.5%
주 1
 
2.5%
Latin
ValueCountFrequency (%)
m 77
81.9%
L 15
 
16.0%
B 2
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 810
95.3%
Hangul 40
 
4.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 110
13.6%
m 77
 
9.5%
+ 75
 
9.3%
72
 
8.9%
5 63
 
7.8%
1 58
 
7.2%
4 41
 
5.1%
2 35
 
4.3%
= 31
 
3.8%
3 30
 
3.7%
Other values (12) 218
26.9%
Hangul
ValueCountFrequency (%)
교 12
30.0%
접 7
17.5%
속 7
17.5%
사 4
 
10.0%
장 4
 
10.0%
경 2
 
5.0%
간 2
 
5.0%
단 1
 
2.5%
주 1
 
2.5%

교폭
Text

Distinct29
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T22:55:36.173057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length26
Mean length12.606061
Min length2

Characters and Unicode

Total characters416
Distinct characters50
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)75.8%

Sample

1st row차도부:15.3m / 자전거보행자도로:6m
2nd row22.0 ~ 24.2m
3rd row18.0m
4th row12.0m (왕복 2차로)
5th rowB=25.7m(양방향4차로+보도부)
ValueCountFrequency (%)
13
 
18.1%
b 6
 
8.3%
접속교 3
 
4.2%
23.9m 3
 
4.2%
11.5m 2
 
2.8%
11.9m 2
 
2.8%
11.7m 2
 
2.8%
12.5m 2
 
2.8%
왕복4차선 1
 
1.4%
양측보도및자전거도로 1
 
1.4%
Other values (37) 37
51.4%
2023-12-12T22:55:36.538566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 40
 
9.6%
m 40
 
9.6%
39
 
9.4%
1 33
 
7.9%
2 29
 
7.0%
5 20
 
4.8%
4 14
 
3.4%
= 13
 
3.1%
( 12
 
2.9%
) 12
 
2.9%
Other values (40) 164
39.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 138
33.2%
Other Letter 91
21.9%
Other Punctuation 55
 
13.2%
Lowercase Letter 40
 
9.6%
Space Separator 39
 
9.4%
Math Symbol 18
 
4.3%
Open Punctuation 12
 
2.9%
Close Punctuation 12
 
2.9%
Uppercase Letter 11
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
차 10
 
11.0%
로 10
 
11.0%
교 10
 
11.0%
속 6
 
6.6%
접 6
 
6.6%
도 5
 
5.5%
왕 3
 
3.3%
주 3
 
3.3%
간 3
 
3.3%
사 3
 
3.3%
Other values (18) 32
35.2%
Decimal Number
ValueCountFrequency (%)
1 33
23.9%
2 29
21.0%
5 20
14.5%
4 14
10.1%
0 10
 
7.2%
3 9
 
6.5%
9 9
 
6.5%
6 7
 
5.1%
7 5
 
3.6%
8 2
 
1.4%
Other Punctuation
ValueCountFrequency (%)
. 40
72.7%
, 8
 
14.5%
: 6
 
10.9%
/ 1
 
1.8%
Math Symbol
ValueCountFrequency (%)
= 13
72.2%
~ 3
 
16.7%
+ 2
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
m 40
100.0%
Space Separator
ValueCountFrequency (%)
39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 274
65.9%
Hangul 91
 
21.9%
Latin 51
 
12.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
차 10
 
11.0%
로 10
 
11.0%
교 10
 
11.0%
속 6
 
6.6%
접 6
 
6.6%
도 5
 
5.5%
왕 3
 
3.3%
주 3
 
3.3%
간 3
 
3.3%
사 3
 
3.3%
Other values (18) 32
35.2%
Common
ValueCountFrequency (%)
. 40
14.6%
39
14.2%
1 33
12.0%
2 29
10.6%
5 20
 
7.3%
4 14
 
5.1%
= 13
 
4.7%
( 12
 
4.4%
) 12
 
4.4%
0 10
 
3.6%
Other values (10) 52
19.0%
Latin
ValueCountFrequency (%)
m 40
78.4%
B 11
 
21.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 325
78.1%
Hangul 91
 
21.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 40
12.3%
m 40
12.3%
39
12.0%
1 33
10.2%
2 29
 
8.9%
5 20
 
6.2%
4 14
 
4.3%
= 13
 
4.0%
( 12
 
3.7%
) 12
 
3.7%
Other values (12) 73
22.5%
Hangul
ValueCountFrequency (%)
차 10
 
11.0%
로 10
 
11.0%
교 10
 
11.0%
속 6
 
6.6%
접 6
 
6.6%
도 5
 
5.5%
왕 3
 
3.3%
주 3
 
3.3%
간 3
 
3.3%
사 3
 
3.3%
Other values (18) 32
35.2%

차선수
Categorical

Distinct7
Distinct (%)21.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
2차로
9 
왕복 2차선
8 
왕복 4차선
7 
왕복 2차로
4 
4차로
3 
Other values (2)
2 

Length

Max length9
Median length6
Mean length4.9090909
Min length3

Unique

Unique2 ?
Unique (%)6.1%

Sample

1st row왕복 2차선
2nd row왕복 4차선
3rd row왕복 2차선
4th row왕복 2차선
5th row4차선

Common Values

ValueCountFrequency (%)
2차로 9
27.3%
왕복 2차선 8
24.2%
왕복 4차선 7
21.2%
왕복 2차로 4
12.1%
4차로 3
 
9.1%
4차선 1
 
3.0%
왕복 가변 3차선 1
 
3.0%

Length

2023-12-12T22:55:36.691299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:55:36.840312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
왕복 20
37.0%
2차로 13
24.1%
2차선 8
 
14.8%
4차선 8
 
14.8%
4차로 3
 
5.6%
가변 1
 
1.9%
3차선 1
 
1.9%

공사기간_시작
Date

MISSING 

Distinct29
Distinct (%)90.6%
Missing1
Missing (%)3.0%
Memory size396.0 B
Minimum1968-05-01 00:00:00
Maximum2013-10-28 00:00:00
2023-12-12T22:55:36.968542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:55:37.092798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

공사기간_종료
Text

Distinct30
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T22:55:37.290112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length10
Mean length9.2424242
Min length7

Characters and Unicode

Total characters305
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)81.8%

Sample

1st row2011-12
2nd row2012-06
3rd row2015-12
4th row1973-05
5th row2018-09-08
ValueCountFrequency (%)
2015-12 2
 
5.7%
2021-03-21 2
 
5.7%
2016-03-02 2
 
5.7%
2011-12 1
 
2.9%
준공 1
 
2.9%
2009.:1월 1
 
2.9%
2000.:착공 1
 
2.9%
2016-12-26 1
 
2.9%
2012-12 1
 
2.9%
2019-04-17 1
 
2.9%
Other values (22) 22
62.9%
2023-12-12T22:55:37.651140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 69
22.6%
2 58
19.0%
- 52
17.0%
1 50
16.4%
9 15
 
4.9%
3 13
 
4.3%
6 11
 
3.6%
8 8
 
2.6%
7 7
 
2.3%
5 5
 
1.6%
Other values (9) 17
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 241
79.0%
Dash Punctuation 52
 
17.0%
Other Punctuation 5
 
1.6%
Other Letter 5
 
1.6%
Space Separator 2
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 69
28.6%
2 58
24.1%
1 50
20.7%
9 15
 
6.2%
3 13
 
5.4%
6 11
 
4.6%
8 8
 
3.3%
7 7
 
2.9%
5 5
 
2.1%
4 5
 
2.1%
Other Letter
ValueCountFrequency (%)
공 2
40.0%
착 1
20.0%
월 1
20.0%
준 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 2
40.0%
: 2
40.0%
, 1
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 300
98.4%
Hangul 5
 
1.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 69
23.0%
2 58
19.3%
- 52
17.3%
1 50
16.7%
9 15
 
5.0%
3 13
 
4.3%
6 11
 
3.7%
8 8
 
2.7%
7 7
 
2.3%
5 5
 
1.7%
Other values (5) 12
 
4.0%
Hangul
ValueCountFrequency (%)
공 2
40.0%
착 1
20.0%
월 1
20.0%
준 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 300
98.4%
Hangul 5
 
1.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 69
23.0%
2 58
19.3%
- 52
17.3%
1 50
16.7%
9 15
 
5.0%
3 13
 
4.3%
6 11
 
3.7%
8 8
 
2.7%
7 7
 
2.3%
5 5
 
1.7%
Other values (5) 12
 
4.0%
Hangul
ValueCountFrequency (%)
공 2
40.0%
착 1
20.0%
월 1
20.0%
준 1
20.0%

내용
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing16
Missing (%)48.5%
Memory size396.0 B
2023-12-12T22:55:37.855103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length20.176471
Min length10

Characters and Unicode

Total characters343
Distinct characters18
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

Unique17 ?
Unique (%)100.0%

Sample

1st row2002.12:착공, 2011.12:준공
2nd row2009.08:착공, 2012.06:준공
3rd row2009.12:착공, 2015.12:준공
4th row1968.05:착공, 1973.05:준공
5th row1980.12:착공, 1984.12:준공
ValueCountFrequency (%)
2012.12:준공 3
 
9.1%
2015.12:준공 2
 
6.1%
2002.12:착공 1
 
3.0%
2012.06:준공 1
 
3.0%
1984.10:준공 1
 
3.0%
2006.04:준공 1
 
3.0%
2001.11:착공 1
 
3.0%
2003.06:착공 1
 
3.0%
2015.11:준공 1
 
3.0%
2008.09:착공 1
 
3.0%
Other values (20) 20
60.6%
2023-12-12T22:55:38.240600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 56
16.3%
2 40
11.7%
1 36
10.5%
. 32
9.3%
: 32
9.3%
공 32
9.3%
16
 
4.7%
9 16
 
4.7%
준 16
 
4.7%
착 16
 
4.7%
Other values (8) 51
14.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 183
53.4%
Other Punctuation 79
23.0%
Other Letter 65
 
19.0%
Space Separator 16
 
4.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 56
30.6%
2 40
21.9%
1 36
19.7%
9 16
 
8.7%
5 9
 
4.9%
6 7
 
3.8%
8 7
 
3.8%
4 5
 
2.7%
3 4
 
2.2%
7 3
 
1.6%
Other Letter
ValueCountFrequency (%)
공 32
49.2%
준 16
24.6%
착 16
24.6%
월 1
 
1.5%
Other Punctuation
ValueCountFrequency (%)
. 32
40.5%
: 32
40.5%
, 15
19.0%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 278
81.0%
Hangul 65
 
19.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 56
20.1%
2 40
14.4%
1 36
12.9%
. 32
11.5%
: 32
11.5%
16
 
5.8%
9 16
 
5.8%
, 15
 
5.4%
5 9
 
3.2%
6 7
 
2.5%
Other values (4) 19
 
6.8%
Hangul
ValueCountFrequency (%)
공 32
49.2%
준 16
24.6%
착 16
24.6%
월 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 278
81.0%
Hangul 65
 
19.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 56
20.1%
2 40
14.4%
1 36
12.9%
. 32
11.5%
: 32
11.5%
16
 
5.8%
9 16
 
5.8%
, 15
 
5.4%
5 9
 
3.2%
6 7
 
2.5%
Other values (4) 19
 
6.8%
Hangul
ValueCountFrequency (%)
공 32
49.2%
준 16
24.6%
착 16
24.6%
월 1
 
1.5%

Correlations

2023-12-12T22:55:38.357601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
특수교량 코드특수교량명위치형식연장교폭차선수공사기간_시작공사기간_종료내용
특수교량 코드1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
특수교량명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
위치1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
형식1.0001.0001.0001.0000.9770.9700.9740.9670.9511.000
연장1.0001.0001.0000.9771.0000.9831.0000.9700.9721.000
교폭1.0001.0001.0000.9700.9831.0000.9340.9750.9761.000
차선수1.0001.0001.0000.9741.0000.9341.0001.0000.9821.000
공사기간_시작1.0001.0001.0000.9670.9700.9751.0001.0000.9981.000
공사기간_종료1.0001.0001.0000.9510.9720.9760.9820.9981.0001.000
내용1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2023-12-12T22:55:32.727498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:55:32.875662image/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.
2023-12-12T22:55:32.972403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

특수교량 코드특수교량명위치형식연장교폭차선수공사기간_시작공사기간_종료내용
0GGB거금대교전라남도 고흥군 금산면 소록리 ~ 금산면 대흥리번들형 5경간 연속 사장교L = 120+198+480+198+120=1116m차도부:15.3m / 자전거보행자도로:6m왕복 2차선2002-122011-122002.12:착공, 2011.12:준공
1GBB거북선대교전라남도 여수시 종화동 ~ 돌산읍 우두리5경간 연속 콘크리트 사장교L = 280+82+230+82+35 = 744m22.0 ~ 24.2m왕복 4차선2009-082012-062009.08:착공, 2012.06:준공
2DDB고군산대교전라북도 군산시 옥도면 신시도리 ~ 무녀도리1주탑 타정식 현수교400m18.0m왕복 2차선2009-122015-122009.12:착공, 2015.12:준공
3NH1남해대교경남 하동군 금남면 - 남해군 설천면3경간 2힌지 타정식 현수교660.0m(128.0m+404.0m+128.0m)12.0m (왕복 2차로)왕복 2차선1968-051973-051968.05:착공, 1973.05:준공
4NRB노량대교경남 하동군 금남면 노량리 ~ 남해군 설천면 노량리강바닥판 박스거더(현수교), 강박스거더(접속교)L=990m(50m+890m+50m)B=25.7m(양방향4차로+보도부)4차선2009-10-192018-09-08<NA>
5DSD돌산대교전남 여수시 대교동 - 여수시 돌산읍 우두리3경간 연속 강상자형 사장교450m(85m+280m+85m)11.7m왕복 2차선1980-121984-121980.12:착공, 1984.12:준공
6DGB동강대교강월 영월군 영월읍 하송리 - 강원 영월군 영월읍 덕포리1면 1주탑 사장교460m(2@100+4@65)24.9m왕복 4차선2007-062009-072005.05:착공, 2009.:7월 착공
7DEB동이대교경기도 연천군 군남면 남계리 ~ 미산면 동이리강합성 개단면 Edge 거더 형식의 사장교L = 400.0m(단경간)B = 23.9m, 4차로4차로2009-07-082016-01-27<NA>
8JBB둔병대교전라남도 여수시 화정면 조발리 산1주탑 사장교95m + 2@150m + 200m + 170m + 140m + 85m = 990m사장교 : 14.64m~17.2m, 접속교 : 12.5m왕복 2차로2011-12-142019-12-26<NA>
9MPB목포대교전라남도 목포시 죽교동 ~ 충무동주경간 : 강사장교, 접속교 : PSC 상장형교사장교(L=900m), 접속교(2..160m)사장교(B=24.5m), 접속교(B=20.9m)왕복 4차선2010-052012-072004.11:착공, 2012.12:준공
특수교량 코드특수교량명위치형식연장교폭차선수공사기간_시작공사기간_종료내용
23JAB장자교전라북도 군산시 옥도면 선유도리 ∼ 장자도리2주탑 사장교295m(72.5+150+72..5)20.5m왕복 2차로2009-12-142018-02-05<NA>
24JJB전주천교전북 전주시 덕진구 전미동강합성 박스거더 사장교L = 495.0m (50+80+140+80+50+2@47.5)B = 23.5m(4차로)4차로2007-12-012016-11-30<NA>
25JD2제2진도대교전남 해남군 문내면 학동리 ~ 진도군 군내면 녹진리3경간 연속 강상자형 사장교484m(70m+344m+70m)12.55m왕복 2차선2001-12-272006-04-032001.11:착공, 2006.04:준공
26JD1진도대교전남 해남군 문내명 학동리 ~ 진도군 군내면 녹진리3경간 연속 사장교484m(70m+344m+70m)11.7m왕복 2차선1980-12-261984-10-181984.10:준공
27CWB천사대교1전라남도 신안군 암태면 신석리~압해읍 송공리사장교L=3,584m (접속1교=960m, 사장교=1,004, 접속B교=1,620m)B=주경간 16.5m(2차로), 접속교 12.5m(2차로)2차로2010-09-152019-03-19<NA>
28CNB천사대교2전남 신안군 암태면 신석리~ 압해면 송공리3주탑 타정식 사장교L=3,640m(접속1교=180m, 사장교=1,750, 접속B교=1,710m)11.5m2차로2010-09-172019-04-17<NA>
29CSB칠산대교전라남도 무안군 해제면 송석리 산 20-172주탑 사장교110m+250m+110m = 470m(주경간교)주경간 : 15.0m, 접속교 : 12.5m왕복 2차로2012-09-202019-12-20<NA>
30PYB팔영대교전라남도 고흥군 영남면 우천리 250-6번지1경간 타정식 현수교50 + 4@65 + 850 + 3@60 = 1340132차로2004-11-012016-12-26<NA>
31HYB화양조발대교전라남도 여수시 화양면 장수리 산 388-42주탑 사장교854m(177m+500m+177m)11.5m왕복 2차로2011-12-142020-03-01<NA>
32HTB화태대교전남 여수시 돌산읍 봉선리 ~ 남면 화태리2개의 Edge 박스를 갖는 강합성형 형식의 사장교L = 1,345m(1,020 + 325)B = 14.0m2차로2004-10-262016-03-022015.12:준공