Overview

Dataset statistics

Number of variables6
Number of observations195
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.3 KiB
Average record size in memory48.7 B

Variable types

Categorical6

Dataset

Description국도상에 위치한 특수교량의 계측데이터를 관리하는 업무로 특수교통합계측관리시스템의 재난관리 활용을 위한 재난단계 정보를 제공함
Author국토교통부
URLhttps://www.data.go.kr/data/15123649/fileData.do

Alerts

규칙종류명 is highly overall correlated with 규칙종류High correlation
재난단계명 is highly overall correlated with 재난단계High correlation
재난단계 is highly overall correlated with 재난단계명High correlation
규칙종류 is highly overall correlated with 규칙종류명High correlation
특수교량명 is highly overall correlated with 특수교량코드High correlation
특수교량코드 is highly overall correlated with 특수교량명High correlation

Reproduction

Analysis started2023-12-12 23:39:00.741106
Analysis finished2023-12-12 23:39:01.249927
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

특수교량코드
Categorical

HIGH CORRELATION 

Distinct34
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
GGB
 
9
DDB
 
9
CWB
 
9
JJB
 
9
GBB
 
9
Other values (29)
150 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowGGB
2nd rowGGB
3rd rowGGB
4th rowGGB
5th rowGGB

Common Values

ValueCountFrequency (%)
GGB 9
 
4.6%
DDB 9
 
4.6%
CWB 9
 
4.6%
JJB 9
 
4.6%
GBB 9
 
4.6%
SRD 9
 
4.6%
MPB 9
 
4.6%
SDB 8
 
4.1%
BYD 8
 
4.1%
AHB 8
 
4.1%
Other values (24) 108
55.4%

Length

2023-12-13T08:39:01.325012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
ggb 9
 
4.6%
cwb 9
 
4.6%
jjb 9
 
4.6%
gbb 9
 
4.6%
srd 9
 
4.6%
mpb 9
 
4.6%
ddb 9
 
4.6%
sdb 8
 
4.1%
byd 8
 
4.1%
ahb 8
 
4.1%
Other values (24) 108
55.4%

특수교량명
Categorical

HIGH CORRELATION 

Distinct34
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
거금대교
 
9
고군산대교
 
9
천사대교1
 
9
전주천교
 
9
거북선대교
 
9
Other values (29)
150 

Length

Max length6
Median length4
Mean length4.4051282
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row거금대교
2nd row거금대교
3rd row거금대교
4th row거금대교
5th row거금대교

Common Values

ValueCountFrequency (%)
거금대교 9
 
4.6%
고군산대교 9
 
4.6%
천사대교1 9
 
4.6%
전주천교 9
 
4.6%
거북선대교 9
 
4.6%
소록대교 9
 
4.6%
목포대교 9
 
4.6%
삼도대교 8
 
4.1%
백야대교 8
 
4.1%
압해대교 8
 
4.1%
Other values (24) 108
55.4%

Length

2023-12-13T08:39:01.440321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
거금대교 9
 
4.6%
천사대교1 9
 
4.6%
전주천교 9
 
4.6%
거북선대교 9
 
4.6%
소록대교 9
 
4.6%
목포대교 9
 
4.6%
고군산대교 9
 
4.6%
삼도대교 8
 
4.1%
백야대교 8
 
4.1%
압해대교 8
 
4.1%
Other values (24) 108
55.4%

규칙종류
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
WG
132 
VIS
44 
EQK
19 

Length

Max length3
Median length2
Mean length2.3230769
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowEQK
2nd rowVIS
3rd rowVIS
4th rowVIS
5th rowVIS

Common Values

ValueCountFrequency (%)
WG 132
67.7%
VIS 44
 
22.6%
EQK 19
 
9.7%

Length

2023-12-13T08:39:01.548981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:39:01.633732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
wg 132
67.7%
vis 44
 
22.6%
eqk 19
 
9.7%

규칙종류명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
풍속
132 
시정
44 
지진
19 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지진
2nd row시정
3rd row시정
4th row시정
5th row시정

Common Values

ValueCountFrequency (%)
풍속 132
67.7%
시정 44
 
22.6%
지진 19
 
9.7%

Length

2023-12-13T08:39:01.729409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:39:01.809886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
풍속 132
67.7%
시정 44
 
22.6%
지진 19
 
9.7%

재난단계
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
DP4
63 
DP1
44 
DP2
44 
DP3
44 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDP4
2nd rowDP1
3rd rowDP2
4th rowDP3
5th rowDP4

Common Values

ValueCountFrequency (%)
DP4 63
32.3%
DP1 44
22.6%
DP2 44
22.6%
DP3 44
22.6%

Length

2023-12-13T08:39:01.896717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:39:01.978284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
dp4 63
32.3%
dp1 44
22.6%
dp2 44
22.6%
dp3 44
22.6%

재난단계명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
심각
63 
관심
44 
주의
44 
경계
44 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row심각
2nd row관심
3rd row주의
4th row경계
5th row심각

Common Values

ValueCountFrequency (%)
심각 63
32.3%
관심 44
22.6%
주의 44
22.6%
경계 44
22.6%

Length

2023-12-13T08:39:02.062471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:39:02.149605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
심각 63
32.3%
관심 44
22.6%
주의 44
22.6%
경계 44
22.6%

Correlations

2023-12-13T08:39:02.217923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
특수교량코드특수교량명규칙종류규칙종류명재난단계재난단계명
특수교량코드1.0001.0000.4210.4210.0000.000
특수교량명1.0001.0000.4210.4210.0000.000
규칙종류0.4210.4211.0001.0000.3260.326
규칙종류명0.4210.4211.0001.0000.3260.326
재난단계0.0000.0000.3260.3261.0001.000
재난단계명0.0000.0000.3260.3261.0001.000
2023-12-13T08:39:02.310822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
규칙종류명재난단계명재난단계규칙종류특수교량명특수교량코드
규칙종류명1.0000.3140.3141.0000.2120.212
재난단계명0.3141.0001.0000.3140.0000.000
재난단계0.3141.0001.0000.3140.0000.000
규칙종류1.0000.3140.3141.0000.2120.212
특수교량명0.2120.0000.0000.2121.0001.000
특수교량코드0.2120.0000.0000.2121.0001.000
2023-12-13T08:39:02.420552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
특수교량코드특수교량명규칙종류규칙종류명재난단계재난단계명
특수교량코드1.0001.0000.2120.2120.0000.000
특수교량명1.0001.0000.2120.2120.0000.000
규칙종류0.2120.2121.0001.0000.3140.314
규칙종류명0.2120.2121.0001.0000.3140.314
재난단계0.0000.0000.3140.3141.0001.000
재난단계명0.0000.0000.3140.3141.0001.000

Missing values

2023-12-13T08:39:01.073971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:39:01.208274image/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

특수교량코드특수교량명규칙종류규칙종류명재난단계재난단계명
0GGB거금대교EQK지진DP4심각
1GGB거금대교VIS시정DP1관심
2GGB거금대교VIS시정DP2주의
3GGB거금대교VIS시정DP3경계
4GGB거금대교VIS시정DP4심각
5GGB거금대교WG풍속DP1관심
6GGB거금대교WG풍속DP2주의
7GGB거금대교WG풍속DP3경계
8GGB거금대교WG풍속DP4심각
9GBB거북선대교EQK지진DP4심각
특수교량코드특수교량명규칙종류규칙종류명재난단계재난단계명
185PYB팔영대교WG풍속DP4심각
186HYB화양조발대교WG풍속DP1관심
187HYB화양조발대교WG풍속DP2주의
188HYB화양조발대교WG풍속DP3경계
189HYB화양조발대교WG풍속DP4심각
190HTB화태대교EQK지진DP4심각
191HTB화태대교WG풍속DP1관심
192HTB화태대교WG풍속DP2주의
193HTB화태대교WG풍속DP3경계
194HTB화태대교WG풍속DP4심각